Tag: nvidia

After huge revenue beat for Q2 earnings, Nvidia buys Hugging Face

Hugging Face had been looking to raise money and was considering a sale lately. (Picture: generated)
Nvidia’s revenues were up 106% to $96.22 billion last quarter, while predicting a 70% increase in the next fiscal year, so agreeing to acquire Hugging Face for $12.9 billion might seem like pocket change.

It is, however, one of Nvidia’s largest acquisitions, Reuters notes, after the buyout was first reported by The Information.

Hugging Face is the «face» of the open source AI movement and maintains a repository of almost all available models, making this a significant infrastructure investment. AI labs treat publishing their weights on it as their official release.

Nvidia is of course not new to Hugging Face or open source, having as good as bought the OSS AI lab Poolside earlier this week to build their own models. They also invested in a $235 million funding round for Hugging Face in 2023 that valued it at $4.5 billion, and tried to invest $500 million in 2025 at a $7 billion valuation, according to The Financial Times.

It appears that Nvidia is somewhat hedging their bets and is increasingly investing in open source, as the frontier AI labs are increasingly developing their own chips, Reuters writes. Nvidia remains a significant investor in closed source providers, though.

Read more: Reuters, The Information (paywalled), and Business Insider. Discussion on r/Singularity and Hacker News.

Nvidia’s inference rack Groq 3 LPX delivers record 3,431 tokens per second

Nothing chews through inference tasks as fast as Nvidia’s Groq. By far. (Picture: Nvidia/generated)
The never-before-seen feat was achieved running Google’s Gemma 4 31B through Artificial Analysis’ standard tests, and is way ahead of anything on the market.

The only comparable score is that of OpenAI’s GPT-Sol running on Cerebras chips, which achieved 750 tokens per second earlier in August. They called this «Ultrafast mode.»

For more normal hardware setups, Opus 5 gets 58.8 tokens per second, and GPT-5.6-Sol clocks in at 74.4 per second, while the «faster» Gemini 3.7 Flash gets 371.1 throughput tokens.

Nvidia further says that it achieved this output score while maintaining hundreds of thousands of context tokens, and that Groq is some 34X faster than today’s quickest hardware in time to generate 5,000 tokens.

A Groq chip pairs 500 MB of high speed SRAM on die, directly next to the chip, that delivers 150 TB/s throughput. They come in racks of 256 chips stacked together for a total of 40 petabytes of memory bandwidth.

While they are great for inference tasks, GPUs will still be the workhorse of AI data centers, as they can handle both training and later inference — but Jensen Huang of Nvidia recommends setting aside 25% of data center space for the new Groq chip racks, according to CNBC.

The new test scores come as Nvidia is announcing that Groq 3 chips are now in production with Samsung and are generally available.

Read more: Nvidia’s announcement, production note. Writeups on CNBC and The Register.

Nvidia warns of price hikes, moves toward its own frontier, open weight AI

Even a $4 trillion company is not immune from RAMageddon. (Picture: generated)
Nvidia has told its largest customers to expect a price increase for its AI systems of more than 15%, Bloomberg reports.

The hikes come amid soaring prices on memory, components and storage as AI buildouts create unprecedented demand in the market.

The systems involved will be based on both Vera Rubin and Grace Blackwell, and prices will depend on both chip and memory configurations. Increases are expected early next year, writes Reuters.

At the same time, Nvidia is pushing harder into making its own AI services, announcing what is «not an acquisition» and «not an acquihire» — before doing both to AI startup Poolside.

Nvidia will be paying $6 billion to the company to license its software, and is concurrently offering jobs to 109 of its staff. On top of that comes a straight-up investment of $1 billion at a $12 billion valuation.

The purpose of the move is to build frontier open source AI, says the WSJ, in a bid to compete with the likes of DeepSeek and Kimi K3 — while indirectly firing shots at some of its largest customers.

Frontier models are struggling to retain users, the Financial Times reports, as open models are catching up to their baseline at much lower costs.

Read more: Bloomberg (paywalled), Reuters, r/Technology. The Next Web, The WSJ (paywalled), r/LocalLLaMA, Financial Times.

Nvidia launches Arm-based RTX Spark SoC for Windows-based AI computers

Nvidia promises a new paradigm in how we use computers, but offers little detail. (Picture: Nvidia)
Claiming a new era in PC processing power, the new system chip is custom-built for AI workflows and is «a New Beginning for Personal Computers,» Nvidia says.

According to Nvidia, people with the RTX Spark installed can simply talk to their computer to get stuff done. A designer can get AI to evolve their sketch all the way to a finished 3D model and a movie with Adobe tools with agents doing all the lifting, for example, The Verge reports.

Continue reading “Nvidia launches Arm-based RTX Spark SoC for Windows-based AI computers”

Amazon to buy one million Nvidia chips, focusing on inference and Groq

Nvidia’s newly released Groq 3 LPX servers are already in demand. (Picture: Amazon)
Nvidia Executive Ian Buck confirms to Reuters that the company will sell the chips to Amazon starting this year and closing in 2027.

The main focus on the deal is on inference workloads, the process of completing tasks and answers from an AI query — which is growing at pace with AI’s general expansion.

— Inference is hard. ⁠It’s wickedly hard, Buck told Reuters. — To be the best at inference, it is not a one chip pony. We actually ​use all seven chips.

Amazon is betting on a broad mix of chips, Reuters reports, and says in their press release that they are buying Blackwell and Vera Rubin chips.

From what Reuters understands, they will also be buying a number of the newly released Groq 3 LPX servers — which are optimized for inference and can do 700 million tokens per second.

Read more: Reuters report, Amazon press release.

Nvidia will sell $1 trillion of its AI chips by 2027, launches inference rack

The Groq 3 LPU has only 500 MB of memory, but it’s SRAM flying at 150 TB/s. (Picture: Nvidia)
The Blackwell and Rubin series of chips are selling like hotcakes, the Nvidia CEO says at the Games Developer Conference, as he doubles the previous guidance of $500 billion in sales and justifies a market valuation topping $4 trillion.

Huang’s most interesting offering at the show was the new Groq 3 LPX, a custom rack made for inference loads.

Continue reading “Nvidia will sell $1 trillion of its AI chips by 2027, launches inference rack”

AI lab Thinking Machines gets investment, gigawatt compute from Nvidia

With no product and an experienced team, Murati’s Thinking Machines lab is rounding up funding. (Picture: Nvidia)
Founded by OpenAI’s former Chief Technology Officer after the 2024 leadership spat, Mira Murati’s Thinking Machines has scored a big deal with Nvidia.

The startup has entered into «a multiyear strategic partnership» that will provide them with both money and significant Vera Rubin compute early next year — about the same level the first version of Grok was trained on.

The parties are not disclosing a sum total, but 1 GW of Nvidia compute is estimated to be worth about $50 billion, Reuters notes.

Murati’s AI lab has been largely secretive about its actual products, releasing a configurable API in December 2025 and vowing to make AI models more accessible, capable and, yes, customizable.

They raised $2 billion at a $12 billion valuation from Andreessen Horowitz and Nvidia in July 2025.

Read more: Joint press release, writeups on Reuters, CNBC and TechCrunch.

Jensen Huang says Nvidia’s investment opportunity in AI labs is closing

Huang figures the privately owned AI labs era might be finished. (Picture: Nvidia)
The Nvidia CEO says the opportunity to invest might soon end, Reuters reports.

The reason for this is straightforward, suspecting that Anthropic and OpenAI going public «later this year» will shutter the window to private equity deals.

The latest deal to fund OpenAI with $30 billion «might be the last time» to «invest in a consequential company like this,» Huang admits.

Nvidia has invested some $130 billion in OpenAI in two rounds, the recent straight up investment, and one circular deal where they paid $100 billion in return for OpenAI buying $100 billion in chips from them.

Likewise, Nvidia was an investor in a November funding round for Anthropic, buying $15 billion in shares from the company.

Read more: Reuters, CNBC and TechCrunch.

OpenAI raises record funding round: $110 billion invested at $840B valuation

At more than double the cost of last years record deal, the funding highly values OpenAI by investors, according to Reuters.

Amazon invested $50 billion, Nvidia put up $30 billion and SoftBank shelled out $30 billion, agreeing to a $840 billion valuation, the largest of any frontier AI lab by far.

«Strategic partnership» with Amazon
Amazon’s deal structure is slightly different, as it comes in the terms of a strategic partnership where OpenAI will receive $15 billion up front, and then qualify for the rest $35 billion «over the coming months.»

OpenAI has committed to using 2 gigawatts of capacity on AWS’ Trainium platform and will make their models available on Amazon’s services.

None of this is said to change OpenAI’s relationship with Microsoft, OpenAI says in a release.

At the same time, OpenAI’s Nick Turley says they have surpassed 900 million weekly users and has 50 million paying subscribers, up from roughly 800 million before.

Read more: Sama’s thank you thread, writeups on Reuters, CNBC

Nvidia’s Data Center unit up 75% YoY, Q4 profits beat estimates yet again

Markets have become accustomed to roaring earnings beats from Nvidia. (Picture: Nvidia)
Markets were lackluster on the last quarterly report of $68.13 billion in revenue for the AI chipmaker, as revenue growth seems to be slipping, Reuters reports.

The full year revenue hit $215.9 billion, up 65% year-on-year, with Data Center revenue hitting a record of $62.3 billion — which is responsible for their AI chips.

Nvidia also raised its guidance for Q1 2026, and is certainly not seeing any slowdown:

Continue reading “Nvidia’s Data Center unit up 75% YoY, Q4 profits beat estimates yet again”

Nvidia strikes «multi-year strategic partnership» with Meta for AI chips

Likely costing a significant measure of Meta’s capital expenditures, the deal is expected to be in tens of billions dollars or more.
Both Meta and Nvidia are announcing a long-term, multi-generational strategic partnership today — without mentioning the price.

Meta, already a top customer for Nvidia, will use their chips in a «large-scale deployment» to build out data centers «optimized for AI training and inference,» they say.

The cost of the deal will likely run into the tens of billions of dollars or more, CNBC reckons, and includes access to future chips as well as the current Blackwell and Vera Rubin generations.

— We do expect a good portion of Meta’s capex to go toward this Nvidia build-out, chip analyst Ben Bajarin of Creative Strategies tells CNBC.

Reuters notes that Meta is likely one of the top three customers accounting for more than half of Nvidia’s sales.

Read more: Meta announcement, Nvidia announcement. Writeups on CNBC, Reuters and The Verge.

OpenAI closing in on $100 billion funding round at $830B valuation

The big guns are all out for OpenAI’s latest funding round. (Picture: generated)
In what looks like one of the strongest funding rounds in history, OpenAI is getting investments from SoftBank and half of the Magnificent Seven.

SoftBank and Nvidia will be the largest investors, clocking in at $30 billion each, while Amazon will pitch in «potentially» $20 billion and Microsoft will contribute «less than» $10 billion, according to Reuters and The Information.

Apparently, Amazon’s investment could come with a caveat that OpenAI expands its cloud server rental with the company, which will likely not be a large hitch.

This will also be SoftBank’s second investment in OpenAI, after recently completing a $41 billion investment, and selling out Nvidia.

That would bring their holdings to $71 billion, which is still short of Microsoft’s reported stake of $135 billion.

Read more: Reuters, and The Information, summarized by Reuters.

Reuters sources: Nvidia H200 not allowed in China

The H200 was getting popular in China, being miles ahead on performance. (Picture: generated)
Several sources are telling Reuters that the H200 chips are not permitted to enter, and authorities have told technology execs explicitly to not purchase the chips.

The H200 was cleared by Commerce for export to China in December and got finally approved this week.

They are much more powerful than anything on the Chinese market, and Nvidia received so many orders, they ran out.

Though the sources from Reuters say officials have not given any reason for this ban, it is likely in order to protect their domestic chip industry.

They do say that chips can be bought «when necessary» or for research and development programs with Chinese universities.

Read the full scoop at Reuters.

Nvidia releases the Vera Rubin platform: three and a half times faster

Nvidia’s new system will drastically reduce training time. (Picture: Nvidia)
The Rubin platform is that much faster on training, and also five times quicker on inference tasks. It wasn’t expected until later this year, writes The Verge.

The system actually consists of six chips, including a CPU, a GPU, an NVlink chip, a NIC, and a DPU and an optics chip.

It can train a «mixture of experts» model with 10x less inference token cost, and a 4x reduction in GPUs compared to the Blackwell platform, Nvidia says.

The platform is now rolling out to nearly every cloud provider, including to Nvidia partners Anthropic, OpenAI and Amazon, according to TechCrunch.

Jensen Huang estimates that AI companies will be spending between $3 and $4 trillion on infrastructure over the next five years.

Read more: Nvidia’s press release, Nvidia’s CES keynote. Writeups on The Verge, TechCrunch.

Nvidia struggles with huge Chinese orders for the H200, asks TSMC for help

The H200 chip is a huge leap forward for Chinese infrastructure firms, compared to local capacity. (Picture: Generated)
Citing five sources familiar with the matter, Reuters reports a boom in Chinese chip orders from Nvidia, which far outstrips supply.

Nvidia currently sits on some 600K high performance H200 chips, recently cleared for China, but Chinese companies have placed orders for a whopping 2 million of them for 2026.

This has led Nvidia to re-approach TSMC for another production run, Reuters reports.

This is notwithstanding regulatory pressure from the Chinese government, who have not said if they will allow the chips in the country.

They are instead considering bundling H200 purchases with domestically produced chips, Reuters says, in order to boost their internal industry.

Read the scoop at Reuters.