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Speedata, a chip startup competing with Nvidia, raises a M Series B | TechCrunch

Speedata, a chip startup competing with Nvidia, raises a $44M Series B | TechCrunch

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Speedata, a Tel Aviv-based startup developing an analytics processing unit (APU) designed to accelerate big data analytic and AI workloads, has raised a $44M Series B funding round, bringing its total capital raised to $114M.

The Series B round was led by its existing investors, including Walden Catalyst Ventures, 83North, Koch Disruptive Technologies, Pitango First, and Viola Ventures, as well as strategic investors, including Lip-Bu Tan, CEO of Intel and Managing Partner at Walden Catalyst Ventures, and Eyal Waldman, Co-Founder and former CEO of Mellanox Technologies.

The APU architecture focuses on addressing the specific bottlenecks of analytics at the computing level, unlike graphics processing units (GPUs), which were initially designed for graphics and later modified for AI and data-related tasks, according to the startup.

“For decades, data analytics have relied on standard processing units, and more recently, companies like Nvidia have invested in pushing GPUs for analytics workloads,” Adi Gelvan, CEO of Speedata, said in an interview with TechCrunch. “But these are either general-purpose processors or processors designed for other workloads, not chips built from the ground up for data analytics. Our APU is purpose-built for data processing and a single APU can replace racks of servers, delivering dramatically better performance.”

Speedata was founded in 2019 by six founders, some of whom were the first researchers to develop Coarse-Grained Reconfigurable Architecture (CGRA) technology. The founders collaborated with ASIC design experts to address a fundamental problem: data analytics were being performed by general-purpose processors. If the workloads grew too complex, they could need to tap into hundreds of servers. The founders believed that they could develop a single dedicated processor to accomplish the task faster using less energy.

“We saw this as an opportunity to put our decades of research in silicon into transforming how the industry processes data,” Gelvan said.

Its APU currently targets Apache Spark workloads, but its roadmap includes supporting every major data analytics platform, according to the company CEO.

“We aim at becoming the standard processor for data processing—just as GPUs became the default for AI training, we want APUs to be the default for data analytics across every database and analytics platform,” Gelvan told TechCrunch.

The startup says it has a number of large companies testing its APU, though it declined to name them. The official product launch is set for the Databricks’ Data & AI Summit in the second week of June. Gelvan said that they will publicly showcase its APU for the first time at the event.

Speedata claims a specific case where its APU completed a pharmaceutical workload in 19 minutes, which was significantly faster than the 90 hours it took when using a non-specialized processing unit, resulting in a 280x speed improvement.

The startup said it has achieved several milestones since its last fundraising, including finalizing the design and manufacturing of its first APU in late 2024.

“We’ve moved from concept to testing on a field-programmable gate array (FPGA), and now we are proud to say we have working hardware that we are currently launching. We already have a growing pipeline of enterprise customers eagerly waiting for this technology and were ready to scale our go-to-market operations,” Gelvan, said.

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These days, new versions of AI chatbots don’t just launch; they’re unshackled and released to the public following government scrutiny. OpenAI’s new GPT-5.6 models were – like Anthropic’s Claude Mythos and Fable – apparently too powerful to just launch; but now, after some tinkering, they’re available to you, dear customer.

In practice, it simply means that the new GPT-5.6 models are very powerful and smarter than before. In its introductory post, OpenAI shared a bunch of graphs showing just how much better GPT-5.6 is than the competition, whilst using fewer tokens and generally costing less.

OK, great. But GPT-5.6 is not just one model; it comes in three distinct flavors: Sol, Terra, and Luna. So what do different kinds of users get, what should they pay for, and which models should they (mostly) use? Let’s dive in.

Free users get (almost) nothing

Sorry; if you’re not a paying customer, you’ll have to make do with OpenAI’s previous flagship model, GPT-5.5. Any sort of access to GPT-5.6 models requires a subscription of some sort. Fortunately, GPT-5.5 is still quite capable at most tasks, but if you want the best of the best, you’ll have to cough up the dough.

There’s an exception to this: Free and Go users can access GPT-5.6 through ChatGPT Work. More on that below.

If you’re a Plus or Business user, you can only get Sol (the most powerful model) at medium and higher effort settings. There’s another, higher level of performance called Sol Pro, but that’s only available for Pro and Enterprise users.

In terms of availability per one million tokens, the prices are: $5 input and $30 output for Sol. $2.5 input and $15 output for Terra, and $1 input and $6 output for Luna.

SEE ALSO: Visa is connecting with ChatGPT to let AI agents automatically make purchases

Sol, Terra, or Luna?

Why are there three models in the first place? Well, OpenAI always had a multi-tier model; for example, previously users were able to choose a “mini” version of the main model to get results done cheaper. Now, the model has been split into three tiers.

If you’re a paying customer, you’re free to use all three. But you know how it is in the world of LLMs: If you pick the smartest one, your usage limits will get hit faster (yes, there are always usage limits, even if you throw a ton of money at OpenAI).

In the simplest sense, GPT-5.6 Sol is the smartest model, Terra is in between (with roughly GPT-5.5 level of performance), and Luna is the cheapest, fastest, but also least capable of the bunch.

The breakdown is as follows: Terra is a “balanced” model for everyday work. That’s the one you should be asking most of your questions. Don’t underestimate it, though, as OpenAI claims it performs better than Anthropic’s Fable 5 in some cases.

Luna is cost-efficient, and should be used for easy, non crucial everyday tasks; think recipes and movie recommendations. Again, OpenAI says it outperforms Anthropic’s Opus 4.8 in some cases, so it’s not a slouch, either.

Sol should be reserved for coding, deep research, planning, and cybersecurity: The most demanding tasks. Of course it comes at a (literal) cost: While OpenAI claims it spends less tokens than Anthropic’s Fable 5, Sol will still hit usage limits a lot faster than the other variants.

Fun fact: If you ask GPT-5.5 about any of this, right now, it’ll give you completely wrong answers. Hopefully OpenAI will fix this soon.

Wait, what’s this ChatGPT Work thing, then?

Oh yeah, OpenAI also launched ChatGPT Work, which is a new agent in ChatGPT that can access and take actions on your apps and files, and work in the background until a task is finished. It’s powered by Codex (OpenAI’s software engineering agent) and GPT-5.6. Think about it as your buddy that will go through your emails and files, browse the web, fetch the relevant data, and create that presentation your boss wants before the day is done.

ChatGPT Work is rolling out to Pro, Enterprise and Edu users first on web and mobile; this will be expanded to Plus and Business users “over the next few days.”

On the desktop, Work is available for everyone, including Free users.

Oh, and one more thing: The fact that ChatGPT Work has a built-in browser also means that OpenAI is sunsetting its standalone web browser, Atlas. Sorry.

How about GPT Live?

GPT Live is a new version of ChatGPT Voice and it will show up when you start talking to ChatGPT.

We’ve covered this in more depth here, but the bottom line is that GPT Live can listen and speak at the same time, allowing it to keep up a more realistic conversation.

Wrapping it all up

The new GPT-5.6 model is smart. It comes in three flavors: Luna, Terra, and Sol, with Sol being the most capable variant, Luna the most affordable one, and Terra somewhere in the middle. You can currently only get them on paid tiers, unless you’re using ChatGPT Work on desktop. And ChatGPT Voice has also gotten smarter with GPT-Live underneath, a model that can listen and speak at the same time.

Topics Artificial Intelligence OpenAI

#GPT5.6 #Sol #Terra #Luna">GPT-5.6 Sol, Terra, and Luna are here. See which one’s best for you. These days, new versions of AI chatbots don’t just launch; they’re unshackled and released to the public following government scrutiny. OpenAI’s new GPT-5.6 models were – like Anthropic’s Claude Mythos and Fable – apparently too powerful to just launch; but now, after some tinkering, they’re available to you, dear customer.In practice, it simply means that the new GPT-5.6 models are very powerful and smarter than before. In its introductory post, OpenAI shared a bunch of graphs showing just how much better GPT-5.6 is than the competition, whilst using fewer tokens and generally costing less. OK, great. But GPT-5.6 is not just one model; it comes in three distinct flavors: Sol, Terra, and Luna. So what do different kinds of users get, what should they pay for, and which models should they (mostly) use? Let’s dive in. Free users get (almost) nothingSorry; if you’re not a paying customer, you’ll have to make do with OpenAI’s previous flagship model, GPT-5.5. Any sort of access to GPT-5.6 models requires a subscription of some sort. Fortunately, GPT-5.5 is still quite capable at most tasks, but if you want the best of the best, you’ll have to cough up the dough. There’s an exception to this: Free and Go users can access GPT-5.6 through ChatGPT Work. More on that below. If you’re a Plus or Business user, you can only get Sol (the most powerful model) at medium and higher effort settings. There’s another, higher level of performance called Sol Pro, but that’s only available for Pro and Enterprise users. In terms of availability per one million tokens, the prices are: input and output for Sol. .5 input and output for Terra, and input and output for Luna. SEE ALSO: Visa is connecting with ChatGPT to let AI agents automatically make purchases Sol, Terra, or Luna?Why are there three models in the first place? Well, OpenAI always had a multi-tier model; for example, previously users were able to choose a “mini” version of the main model to get results done cheaper. Now, the model has been split into three tiers. If you’re a paying customer, you’re free to use all three. But you know how it is in the world of LLMs: If you pick the smartest one, your usage limits will get hit faster (yes, there are always usage limits, even if you throw a ton of money at OpenAI). Mashable Light Speed In the simplest sense, GPT-5.6 Sol is the smartest model, Terra is in between (with roughly GPT-5.5 level of performance), and Luna is the cheapest, fastest, but also least capable of the bunch. The breakdown is as follows: Terra is a “balanced” model for everyday work. That’s the one you should be asking most of your questions. Don’t underestimate it, though, as OpenAI claims it performs better than Anthropic’s Fable 5 in some cases. Luna is cost-efficient, and should be used for easy, non crucial everyday tasks; think recipes and movie recommendations. Again, OpenAI says it outperforms Anthropic’s Opus 4.8 in some cases, so it’s not a slouch, either.Sol should be reserved for coding, deep research, planning, and cybersecurity: The most demanding tasks. Of course it comes at a (literal) cost: While OpenAI claims it spends less tokens than Anthropic’s Fable 5, Sol will still hit usage limits a lot faster than the other variants. Fun fact: If you ask GPT-5.5 about any of this, right now, it’ll give you completely wrong answers. Hopefully OpenAI will fix this soon.Wait, what’s this ChatGPT Work thing, then?Oh yeah, OpenAI also launched ChatGPT Work, which is a new agent in ChatGPT that can access and take actions on your apps and files, and work in the background until a task is finished. It’s powered by Codex (OpenAI’s software engineering agent) and GPT-5.6. Think about it as your buddy that will go through your emails and files, browse the web, fetch the relevant data, and create that presentation your boss wants before the day is done. ChatGPT Work is rolling out to Pro, Enterprise and Edu users first on web and mobile; this will be expanded to Plus and Business users “over the next few days.”On the desktop, Work is available for everyone, including Free users. Oh, and one more thing: The fact that ChatGPT Work has a built-in browser also means that OpenAI is sunsetting its standalone web browser, Atlas. Sorry. How about GPT Live?GPT Live is a new version of ChatGPT Voice and it will show up when you start talking to ChatGPT. We’ve covered this in more depth here, but the bottom line is that GPT Live can listen and speak at the same time, allowing it to keep up a more realistic conversation.Wrapping it all upThe new GPT-5.6 model is smart. It comes in three flavors: Luna, Terra, and Sol, with Sol being the most capable variant, Luna the most affordable one, and Terra somewhere in the middle. You can currently only get them on paid tiers, unless you’re using ChatGPT Work on desktop. And ChatGPT Voice has also gotten smarter with GPT-Live underneath, a model that can listen and speak at the same time. Topics Artificial Intelligence OpenAI #GPT5.6 #Sol #Terra #Luna

Fable – apparently too powerful to just launch; but now, after some tinkering, they’re available to you, dear customer.

In practice, it simply means that the new GPT-5.6 models are very powerful and smarter than before. In its introductory post, OpenAI shared a bunch of graphs showing just how much better GPT-5.6 is than the competition, whilst using fewer tokens and generally costing less.

OK, great. But GPT-5.6 is not just one model; it comes in three distinct flavors: Sol, Terra, and Luna. So what do different kinds of users get, what should they pay for, and which models should they (mostly) use? Let’s dive in.

Free users get (almost) nothing

Sorry; if you’re not a paying customer, you’ll have to make do with OpenAI’s previous flagship model, GPT-5.5. Any sort of access to GPT-5.6 models requires a subscription of some sort. Fortunately, GPT-5.5 is still quite capable at most tasks, but if you want the best of the best, you’ll have to cough up the dough.

There’s an exception to this: Free and Go users can access GPT-5.6 through ChatGPT Work. More on that below.

If you’re a Plus or Business user, you can only get Sol (the most powerful model) at medium and higher effort settings. There’s another, higher level of performance called Sol Pro, but that’s only available for Pro and Enterprise users.

In terms of availability per one million tokens, the prices are: $5 input and $30 output for Sol. $2.5 input and $15 output for Terra, and $1 input and $6 output for Luna.

SEE ALSO: Visa is connecting with ChatGPT to let AI agents automatically make purchases

Sol, Terra, or Luna?

Why are there three models in the first place? Well, OpenAI always had a multi-tier model; for example, previously users were able to choose a “mini” version of the main model to get results done cheaper. Now, the model has been split into three tiers.

If you’re a paying customer, you’re free to use all three. But you know how it is in the world of LLMs: If you pick the smartest one, your usage limits will get hit faster (yes, there are always usage limits, even if you throw a ton of money at OpenAI).

In the simplest sense, GPT-5.6 Sol is the smartest model, Terra is in between (with roughly GPT-5.5 level of performance), and Luna is the cheapest, fastest, but also least capable of the bunch.

The breakdown is as follows: Terra is a “balanced” model for everyday work. That’s the one you should be asking most of your questions. Don’t underestimate it, though, as OpenAI claims it performs better than Anthropic’s Fable 5 in some cases.

Luna is cost-efficient, and should be used for easy, non crucial everyday tasks; think recipes and movie recommendations. Again, OpenAI says it outperforms Anthropic’s Opus 4.8 in some cases, so it’s not a slouch, either.

Sol should be reserved for coding, deep research, planning, and cybersecurity: The most demanding tasks. Of course it comes at a (literal) cost: While OpenAI claims it spends less tokens than Anthropic’s Fable 5, Sol will still hit usage limits a lot faster than the other variants.

Fun fact: If you ask GPT-5.5 about any of this, right now, it’ll give you completely wrong answers. Hopefully OpenAI will fix this soon.

Wait, what’s this ChatGPT Work thing, then?

Oh yeah, OpenAI also launched ChatGPT Work, which is a new agent in ChatGPT that can access and take actions on your apps and files, and work in the background until a task is finished. It’s powered by Codex (OpenAI’s software engineering agent) and GPT-5.6. Think about it as your buddy that will go through your emails and files, browse the web, fetch the relevant data, and create that presentation your boss wants before the day is done.

ChatGPT Work is rolling out to Pro, Enterprise and Edu users first on web and mobile; this will be expanded to Plus and Business users “over the next few days.”

On the desktop, Work is available for everyone, including Free users.

Oh, and one more thing: The fact that ChatGPT Work has a built-in browser also means that OpenAI is sunsetting its standalone web browser, Atlas. Sorry.

How about GPT Live?

GPT Live is a new version of ChatGPT Voice and it will show up when you start talking to ChatGPT.

We’ve covered this in more depth here, but the bottom line is that GPT Live can listen and speak at the same time, allowing it to keep up a more realistic conversation.

Wrapping it all up

The new GPT-5.6 model is smart. It comes in three flavors: Luna, Terra, and Sol, with Sol being the most capable variant, Luna the most affordable one, and Terra somewhere in the middle. You can currently only get them on paid tiers, unless you’re using ChatGPT Work on desktop. And ChatGPT Voice has also gotten smarter with GPT-Live underneath, a model that can listen and speak at the same time.

Topics Artificial Intelligence OpenAI

#GPT5.6 #Sol #Terra #Luna">GPT-5.6 Sol, Terra, and Luna are here. See which one’s best for you.

These days, new versions of AI chatbots don’t just launch; they’re unshackled and released to the public following government scrutiny. OpenAI’s new GPT-5.6 models were – like Anthropic’s Claude Mythos and Fable – apparently too powerful to just launch; but now, after some tinkering, they’re available to you, dear customer.

In practice, it simply means that the new GPT-5.6 models are very powerful and smarter than before. In its introductory post, OpenAI shared a bunch of graphs showing just how much better GPT-5.6 is than the competition, whilst using fewer tokens and generally costing less.

OK, great. But GPT-5.6 is not just one model; it comes in three distinct flavors: Sol, Terra, and Luna. So what do different kinds of users get, what should they pay for, and which models should they (mostly) use? Let’s dive in.

Free users get (almost) nothing

Sorry; if you’re not a paying customer, you’ll have to make do with OpenAI’s previous flagship model, GPT-5.5. Any sort of access to GPT-5.6 models requires a subscription of some sort. Fortunately, GPT-5.5 is still quite capable at most tasks, but if you want the best of the best, you’ll have to cough up the dough.

There’s an exception to this: Free and Go users can access GPT-5.6 through ChatGPT Work. More on that below.

If you’re a Plus or Business user, you can only get Sol (the most powerful model) at medium and higher effort settings. There’s another, higher level of performance called Sol Pro, but that’s only available for Pro and Enterprise users.

In terms of availability per one million tokens, the prices are: $5 input and $30 output for Sol. $2.5 input and $15 output for Terra, and $1 input and $6 output for Luna.

SEE ALSO: Visa is connecting with ChatGPT to let AI agents automatically make purchases

Sol, Terra, or Luna?

Why are there three models in the first place? Well, OpenAI always had a multi-tier model; for example, previously users were able to choose a “mini” version of the main model to get results done cheaper. Now, the model has been split into three tiers.

If you’re a paying customer, you’re free to use all three. But you know how it is in the world of LLMs: If you pick the smartest one, your usage limits will get hit faster (yes, there are always usage limits, even if you throw a ton of money at OpenAI).

In the simplest sense, GPT-5.6 Sol is the smartest model, Terra is in between (with roughly GPT-5.5 level of performance), and Luna is the cheapest, fastest, but also least capable of the bunch.

The breakdown is as follows: Terra is a “balanced” model for everyday work. That’s the one you should be asking most of your questions. Don’t underestimate it, though, as OpenAI claims it performs better than Anthropic’s Fable 5 in some cases.

Luna is cost-efficient, and should be used for easy, non crucial everyday tasks; think recipes and movie recommendations. Again, OpenAI says it outperforms Anthropic’s Opus 4.8 in some cases, so it’s not a slouch, either.

Sol should be reserved for coding, deep research, planning, and cybersecurity: The most demanding tasks. Of course it comes at a (literal) cost: While OpenAI claims it spends less tokens than Anthropic’s Fable 5, Sol will still hit usage limits a lot faster than the other variants.

Fun fact: If you ask GPT-5.5 about any of this, right now, it’ll give you completely wrong answers. Hopefully OpenAI will fix this soon.

Wait, what’s this ChatGPT Work thing, then?

Oh yeah, OpenAI also launched ChatGPT Work, which is a new agent in ChatGPT that can access and take actions on your apps and files, and work in the background until a task is finished. It’s powered by Codex (OpenAI’s software engineering agent) and GPT-5.6. Think about it as your buddy that will go through your emails and files, browse the web, fetch the relevant data, and create that presentation your boss wants before the day is done.

ChatGPT Work is rolling out to Pro, Enterprise and Edu users first on web and mobile; this will be expanded to Plus and Business users “over the next few days.”

On the desktop, Work is available for everyone, including Free users.

Oh, and one more thing: The fact that ChatGPT Work has a built-in browser also means that OpenAI is sunsetting its standalone web browser, Atlas. Sorry.

How about GPT Live?

GPT Live is a new version of ChatGPT Voice and it will show up when you start talking to ChatGPT.

We’ve covered this in more depth here, but the bottom line is that GPT Live can listen and speak at the same time, allowing it to keep up a more realistic conversation.

Wrapping it all up

The new GPT-5.6 model is smart. It comes in three flavors: Luna, Terra, and Sol, with Sol being the most capable variant, Luna the most affordable one, and Terra somewhere in the middle. You can currently only get them on paid tiers, unless you’re using ChatGPT Work on desktop. And ChatGPT Voice has also gotten smarter with GPT-Live underneath, a model that can listen and speak at the same time.

Topics Artificial Intelligence OpenAI

#GPT5.6 #Sol #Terra #Luna
Microsoft may once again be struggling to keep up with its own climate goals, according to its 2026 sustainability report. As reported by GeekWire, the report states that Microsoft’s carbon emissions increased 25 percent in 2025, totalling 34 million metric tons “without select interventions.” Microsoft says this was “driven primarily by the expansion of our datacenter infrastructure,” as well as the company’s decision last February to stop purchasing “non-additional, unbundled renewable energy certificates.”

Several years ago, Microsoft set itself a goal to be carbon negative by 2030, meaning it will need to remove more carbon emissions than it produces. This isn’t the first time Microsoft has faced setbacks toward accomplishing that goal, as its 2024 sustainability report showed a similar rise in climate pollution. This year’s report admits that, “While AI infrastructure is driving demand for energy, water, land, and materials, sustainability solutions are not scaling fast enough to meet demand.”

#Microsofts #carbon #emissions #percent #yearAI,Environment,Microsoft,News,Science,Tech">Microsoft’s carbon emissions went up 25 percent last yearMicrosoft may once again be struggling to keep up with its own climate goals, according to its 2026 sustainability report. As reported by GeekWire, the report states that Microsoft’s carbon emissions increased 25 percent in 2025, totalling 34 million metric tons “without select interventions.” Microsoft says this was “driven primarily by the expansion of our datacenter infrastructure,” as well as the company’s decision last February to stop purchasing “non-additional, unbundled renewable energy certificates.”Several years ago, Microsoft set itself a goal to be carbon negative by 2030, meaning it will need to remove more carbon emissions than it produces. This isn’t the first time Microsoft has faced setbacks toward accomplishing that goal, as its 2024 sustainability report showed a similar rise in climate pollution. This year’s report admits that, “While AI infrastructure is driving demand for energy, water, land, and materials, sustainability solutions are not scaling fast enough to meet demand.”#Microsofts #carbon #emissions #percent #yearAI,Environment,Microsoft,News,Science,Tech

2026 sustainability report. As reported by GeekWire, the report states that Microsoft’s carbon emissions increased 25 percent in 2025, totalling 34 million metric tons “without select interventions.” Microsoft says this was “driven primarily by the expansion of our datacenter infrastructure,” as well as the company’s decision last February to stop purchasing “non-additional, unbundled renewable energy certificates.”

Several years ago, Microsoft set itself a goal to be carbon negative by 2030, meaning it will need to remove more carbon emissions than it produces. This isn’t the first time Microsoft has faced setbacks toward accomplishing that goal, as its 2024 sustainability report showed a similar rise in climate pollution. This year’s report admits that, “While AI infrastructure is driving demand for energy, water, land, and materials, sustainability solutions are not scaling fast enough to meet demand.”

#Microsofts #carbon #emissions #percent #yearAI,Environment,Microsoft,News,Science,Tech">Microsoft’s carbon emissions went up 25 percent last year

Microsoft may once again be struggling to keep up with its own climate goals, according to its 2026 sustainability report. As reported by GeekWire, the report states that Microsoft’s carbon emissions increased 25 percent in 2025, totalling 34 million metric tons “without select interventions.” Microsoft says this was “driven primarily by the expansion of our datacenter infrastructure,” as well as the company’s decision last February to stop purchasing “non-additional, unbundled renewable energy certificates.”

Several years ago, Microsoft set itself a goal to be carbon negative by 2030, meaning it will need to remove more carbon emissions than it produces. This isn’t the first time Microsoft has faced setbacks toward accomplishing that goal, as its 2024 sustainability report showed a similar rise in climate pollution. This year’s report admits that, “While AI infrastructure is driving demand for energy, water, land, and materials, sustainability solutions are not scaling fast enough to meet demand.”

#Microsofts #carbon #emissions #percent #yearAI,Environment,Microsoft,News,Science,Tech
India on Thursday approved a manufacturing joint venture between China’s Vivo and local manufacturer Dixon Technologies, a move that could mark the next phase of the country’s smartphone manufacturing boom after Apple helped turn India into a global smartphone production hub.

The approval allows Vivo to proceed with a long-delayed manufacturing partnership first announced in December 2024, after New Delhi cleared the investment under investment rules introduced in 2020 that require extra government scrutiny of investment from countries sharing a land border with India — a category that includes China. The joint venture will acquire certain manufacturing assets from Vivo, manufacture part of the company’s smartphone orders in India, and can also produce electronic products for other brands, according to a stock exchange filing by Noida-based Dixon.

The 51/49 venture — majority-owned by Dixon, with Vivo holding the remaining stake — reflects a broader shift in how Chinese smartphone brands are expanding manufacturing in India through local partnerships. For an industry watching how governments referee the relationship between Chinese capital and domestic manufacturing, the structure, analysts believe, could become a template for similar arrangements across the industry, helping broaden India’s smartphone manufacturing story beyond Apple.

Over the past few years, India has emerged as a major global smartphone manufacturing hub as Apple and its suppliers expanded iPhone production in the country while diversifying supply chains beyond China. Government incentives have also helped attract global electronics manufacturers, boosting the country’s role in global smartphone production.

Apple spent years building its manufacturing footprint in India and today accounts for 57% of the country’s smartphone exports by volume, according to Counterpoint Research’s data shared with TechCrunch. Chinese brands, on the other hand, dominate India’s smartphone market sales with 72% of the market, but contribute less than 10% of exports, a gap that shows how much upside is still on the table if they start exporting from India the way Apple does.

Apple’s India manufacturing expansion has largely been driven by suppliers such as Foxconn and Tata. Chinese smartphone brands, meanwhile, are increasingly exploring partnerships with Indian companies after New Delhi tightened investment rules for neighboring countries following the 2020 border clashes with China. Several of those companies, including Oppo, Vivo, and Xiaomi, have also faced tax and regulatory investigations in India in recent years, which helps explain why ceding majority control to an Indian partner is now looking like the more sustainable path forward.

Local partnerships such as the Dixon-Vivo venture offer Chinese brands a more stable operating model, while aligning with India’s push for greater local participation in electronics manufacturing, said Tarun Pathak, research director at Counterpoint Research.

“The approval of this joint venture creates a win-win for both players,” Pathak told TechCrunch. He added that the majority-Indian-owned structure provides Vivo with greater policy alignment while giving Dixon the scale to deepen local value addition and pursue exports.

Vivo has manufactured and exported smartphones from India for years, but the approved venture marks a shift toward a majority Indian-owned manufacturing structure as the market leader deepens its footprint in the world’s second-largest smartphone market. The Chinese smartphone vendor retained the top spot in India’s smartphone market with a 23% shipment share in Q1, per Counterpoint.

For Dixon, India’s largest electronics manufacturing services company, the venture could add annualized manufacturing volumes of about 20 million to 22 million smartphones, based on Vivo’s current sales, according to comments by Managing Director Atul Lall during the company’s May earnings call. That’s a meaningful volume bump for a public company whose growth increasingly hinges on winning exactly these kinds of manufacturing contracts.

Dixon already manufactures smartphones for Xiaomi, suggesting the Vivo venture builds on an expanding role as a manufacturing partner for both global and Chinese smartphone brands in India, and reinforces its position as one of the more reliable bets in India’s electronics build-out.

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#Apple #Indias #smartphone #manufacturing #boom #enters #phase #Vivo #TechCrunchDixon,vivo">After Apple, India’s smartphone manufacturing boom enters new phase with Vivo JV | TechCrunch India on Thursday approved a manufacturing joint venture between China’s Vivo and local manufacturer Dixon Technologies, a move that could mark the next phase of the country’s smartphone manufacturing boom after Apple helped turn India into a global smartphone production hub. The approval allows Vivo to proceed with a long-delayed manufacturing partnership first announced in December 2024, after New Delhi cleared the investment under investment rules introduced in 2020 that require extra government scrutiny of investment from countries sharing a land border with India — a category that includes China. The joint venture will acquire certain manufacturing assets from Vivo, manufacture part of the company’s smartphone orders in India, and can also produce electronic products for other brands, according to a stock exchange filing by Noida-based Dixon. The 51/49 venture — majority-owned by Dixon, with Vivo holding the remaining stake — reflects a broader shift in how Chinese smartphone brands are expanding manufacturing in India through local partnerships. For an industry watching how governments referee the relationship between Chinese capital and domestic manufacturing, the structure, analysts believe, could become a template for similar arrangements across the industry, helping broaden India’s smartphone manufacturing story beyond Apple. Over the past few years, India has emerged as a major global smartphone manufacturing hub as Apple and its suppliers expanded iPhone production in the country while diversifying supply chains beyond China. Government incentives have also helped attract global electronics manufacturers, boosting the country’s role in global smartphone production. Apple spent years building its manufacturing footprint in India and today accounts for 57% of the country’s smartphone exports by volume, according to Counterpoint Research’s data shared with TechCrunch. Chinese brands, on the other hand, dominate India’s smartphone market sales with 72% of the market, but contribute less than 10% of exports, a gap that shows how much upside is still on the table if they start exporting from India the way Apple does. Apple’s India manufacturing expansion has largely been driven by suppliers such as Foxconn and Tata. Chinese smartphone brands, meanwhile, are increasingly exploring partnerships with Indian companies after New Delhi tightened investment rules for neighboring countries following the 2020 border clashes with China. Several of those companies, including Oppo, Vivo, and Xiaomi, have also faced tax and regulatory investigations in India in recent years, which helps explain why ceding majority control to an Indian partner is now looking like the more sustainable path forward. Local partnerships such as the Dixon-Vivo venture offer Chinese brands a more stable operating model, while aligning with India’s push for greater local participation in electronics manufacturing, said Tarun Pathak, research director at Counterpoint Research. “The approval of this joint venture creates a win-win for both players,” Pathak told TechCrunch. He added that the majority-Indian-owned structure provides Vivo with greater policy alignment while giving Dixon the scale to deepen local value addition and pursue exports. Vivo has manufactured and exported smartphones from India for years, but the approved venture marks a shift toward a majority Indian-owned manufacturing structure as the market leader deepens its footprint in the world’s second-largest smartphone market. The Chinese smartphone vendor retained the top spot in India’s smartphone market with a 23% shipment share in Q1, per Counterpoint. For Dixon, India’s largest electronics manufacturing services company, the venture could add annualized manufacturing volumes of about 20 million to 22 million smartphones, based on Vivo’s current sales, according to comments by Managing Director Atul Lall during the company’s May earnings call. That’s a meaningful volume bump for a public company whose growth increasingly hinges on winning exactly these kinds of manufacturing contracts. Dixon already manufactures smartphones for Xiaomi, suggesting the Vivo venture builds on an expanding role as a manufacturing partner for both global and Chinese smartphone brands in India, and reinforces its position as one of the more reliable bets in India’s electronics build-out. When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Apple #Indias #smartphone #manufacturing #boom #enters #phase #Vivo #TechCrunchDixon,vivo

first announced in December 2024, after New Delhi cleared the investment under investment rules introduced in 2020 that require extra government scrutiny of investment from countries sharing a land border with India — a category that includes China. The joint venture will acquire certain manufacturing assets from Vivo, manufacture part of the company’s smartphone orders in India, and can also produce electronic products for other brands, according to a stock exchange filing by Noida-based Dixon.

The 51/49 venture — majority-owned by Dixon, with Vivo holding the remaining stake — reflects a broader shift in how Chinese smartphone brands are expanding manufacturing in India through local partnerships. For an industry watching how governments referee the relationship between Chinese capital and domestic manufacturing, the structure, analysts believe, could become a template for similar arrangements across the industry, helping broaden India’s smartphone manufacturing story beyond Apple.

Over the past few years, India has emerged as a major global smartphone manufacturing hub as Apple and its suppliers expanded iPhone production in the country while diversifying supply chains beyond China. Government incentives have also helped attract global electronics manufacturers, boosting the country’s role in global smartphone production.

Apple spent years building its manufacturing footprint in India and today accounts for 57% of the country’s smartphone exports by volume, according to Counterpoint Research’s data shared with TechCrunch. Chinese brands, on the other hand, dominate India’s smartphone market sales with 72% of the market, but contribute less than 10% of exports, a gap that shows how much upside is still on the table if they start exporting from India the way Apple does.

Apple’s India manufacturing expansion has largely been driven by suppliers such as Foxconn and Tata. Chinese smartphone brands, meanwhile, are increasingly exploring partnerships with Indian companies after New Delhi tightened investment rules for neighboring countries following the 2020 border clashes with China. Several of those companies, including Oppo, Vivo, and Xiaomi, have also faced tax and regulatory investigations in India in recent years, which helps explain why ceding majority control to an Indian partner is now looking like the more sustainable path forward.

Local partnerships such as the Dixon-Vivo venture offer Chinese brands a more stable operating model, while aligning with India’s push for greater local participation in electronics manufacturing, said Tarun Pathak, research director at Counterpoint Research.

“The approval of this joint venture creates a win-win for both players,” Pathak told TechCrunch. He added that the majority-Indian-owned structure provides Vivo with greater policy alignment while giving Dixon the scale to deepen local value addition and pursue exports.

Vivo has manufactured and exported smartphones from India for years, but the approved venture marks a shift toward a majority Indian-owned manufacturing structure as the market leader deepens its footprint in the world’s second-largest smartphone market. The Chinese smartphone vendor retained the top spot in India’s smartphone market with a 23% shipment share in Q1, per Counterpoint.

For Dixon, India’s largest electronics manufacturing services company, the venture could add annualized manufacturing volumes of about 20 million to 22 million smartphones, based on Vivo’s current sales, according to comments by Managing Director Atul Lall during the company’s May earnings call. That’s a meaningful volume bump for a public company whose growth increasingly hinges on winning exactly these kinds of manufacturing contracts.

Dixon already manufactures smartphones for Xiaomi, suggesting the Vivo venture builds on an expanding role as a manufacturing partner for both global and Chinese smartphone brands in India, and reinforces its position as one of the more reliable bets in India’s electronics build-out.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Apple #Indias #smartphone #manufacturing #boom #enters #phase #Vivo #TechCrunchDixon,vivo">After Apple, India’s smartphone manufacturing boom enters new phase with Vivo JV | TechCrunch

India on Thursday approved a manufacturing joint venture between China’s Vivo and local manufacturer Dixon Technologies, a move that could mark the next phase of the country’s smartphone manufacturing boom after Apple helped turn India into a global smartphone production hub.

The approval allows Vivo to proceed with a long-delayed manufacturing partnership first announced in December 2024, after New Delhi cleared the investment under investment rules introduced in 2020 that require extra government scrutiny of investment from countries sharing a land border with India — a category that includes China. The joint venture will acquire certain manufacturing assets from Vivo, manufacture part of the company’s smartphone orders in India, and can also produce electronic products for other brands, according to a stock exchange filing by Noida-based Dixon.

The 51/49 venture — majority-owned by Dixon, with Vivo holding the remaining stake — reflects a broader shift in how Chinese smartphone brands are expanding manufacturing in India through local partnerships. For an industry watching how governments referee the relationship between Chinese capital and domestic manufacturing, the structure, analysts believe, could become a template for similar arrangements across the industry, helping broaden India’s smartphone manufacturing story beyond Apple.

Over the past few years, India has emerged as a major global smartphone manufacturing hub as Apple and its suppliers expanded iPhone production in the country while diversifying supply chains beyond China. Government incentives have also helped attract global electronics manufacturers, boosting the country’s role in global smartphone production.

Apple spent years building its manufacturing footprint in India and today accounts for 57% of the country’s smartphone exports by volume, according to Counterpoint Research’s data shared with TechCrunch. Chinese brands, on the other hand, dominate India’s smartphone market sales with 72% of the market, but contribute less than 10% of exports, a gap that shows how much upside is still on the table if they start exporting from India the way Apple does.

Apple’s India manufacturing expansion has largely been driven by suppliers such as Foxconn and Tata. Chinese smartphone brands, meanwhile, are increasingly exploring partnerships with Indian companies after New Delhi tightened investment rules for neighboring countries following the 2020 border clashes with China. Several of those companies, including Oppo, Vivo, and Xiaomi, have also faced tax and regulatory investigations in India in recent years, which helps explain why ceding majority control to an Indian partner is now looking like the more sustainable path forward.

Local partnerships such as the Dixon-Vivo venture offer Chinese brands a more stable operating model, while aligning with India’s push for greater local participation in electronics manufacturing, said Tarun Pathak, research director at Counterpoint Research.

“The approval of this joint venture creates a win-win for both players,” Pathak told TechCrunch. He added that the majority-Indian-owned structure provides Vivo with greater policy alignment while giving Dixon the scale to deepen local value addition and pursue exports.

Vivo has manufactured and exported smartphones from India for years, but the approved venture marks a shift toward a majority Indian-owned manufacturing structure as the market leader deepens its footprint in the world’s second-largest smartphone market. The Chinese smartphone vendor retained the top spot in India’s smartphone market with a 23% shipment share in Q1, per Counterpoint.

For Dixon, India’s largest electronics manufacturing services company, the venture could add annualized manufacturing volumes of about 20 million to 22 million smartphones, based on Vivo’s current sales, according to comments by Managing Director Atul Lall during the company’s May earnings call. That’s a meaningful volume bump for a public company whose growth increasingly hinges on winning exactly these kinds of manufacturing contracts.

Dixon already manufactures smartphones for Xiaomi, suggesting the Vivo venture builds on an expanding role as a manufacturing partner for both global and Chinese smartphone brands in India, and reinforces its position as one of the more reliable bets in India’s electronics build-out.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Apple #Indias #smartphone #manufacturing #boom #enters #phase #Vivo #TechCrunchDixon,vivo

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