Some of the Recent Biggest AI Raises

Five significant rounds closed or announced in the past few weeks, ranging from a company rebuilding after losing its founder and most of its team to a startup that has never shipped a product and just raised $5 billion. Here is what happened, who raised, and what each company's trajectory looks like.

Groq: $350M at $3.5B, Led by Disruptive + Nvidia

Announced: August 17, 2026

The Groq story is the most interesting one this week because of where the company has been.

Groq was founded in 2016 by Jonathan Ross, a former Google engineer who helped design Google's first TPU chips. The company spent nearly a decade building the Language Processing Unit (LPU), a chip designed specifically for AI inference, not training. Where Nvidia's GPUs process in high-volume batches, Groq's LPUs were built for low-latency, high-speed token generation, processing between 300 and 500 tokens per second on standard models like Llama 2 at a time when GPU setups typically managed around 100.Independent benchmarks by Artificial Analysis confirmed 877 tokens per second for Llama 3 8B, roughly double the fastest available alternatives at the time.

By September 2025,Groq was valued at $6.9 billion after a round backed by BlackRock, Neuberger Berman, Samsung, Cisco, Altimeter, and 1789 Capital. Then, on Christmas Eve 2025, Nvidia announced a $20 billion licensing agreement for Groq's inference technology. The founder, Jonathan Ross, Groq's president Sunny Madra, and roughly 90% of the engineering team left to join Nvidia. Groq continued operating independently as a cloud business under new leadership, but effectively without the people who built what made it worth acquiring in the first place.

Today's $350 million round, led by Disruptive (whose founder Alex Davis is now Groq's executive chairman), values the company at $3.5 billion, roughly half what Groq commanded before Nvidia came in. Nvidia itself is participating in the round. The company is pivoting from chip design to a neocloud model, providing GPU infrastructure services to enterprises building AI applications. Whether what remains of Groq (the brand, the cloud platform, the customer relationships) can rebuild into something meaningful at a $3.5 billion valuation is the question the round is answering with capital rather than proof.

Safe Superintelligence (SSI): $5B from Nvidia, Access to Vera Rubin

Announced: July 27, 2026

SSI was founded in 2024 by Ilya Sutskever, the co-founder and former chief scientist of OpenAI, alongside Daniel Gross and Daniel Levy. Sutskever left OpenAI after a failed attempt to remove Sam Altman as CEO in November 2023, citing a "breakdown in communications." He founded SSI with a single stated objective: building safe superintelligence before commercialising anything.

The company has shipped no products. It has released no models publicly. It does not update its research regularly like OpenAI, Anthropic, or Moonshot. It raised $1 billion at a $5 billion valuation at founding in 2024, then $2 billion at a $32 billion valuation in February 2025. Nvidia's $5 billion investment in July 2026 comes alongside access to the Vera Rubin GPU platform, which the companies say will increase SSI's compute capacity by an order of magnitude over the next 12 months.Jensen Huang said Nvidia has gained "rare access into the company's closely guarded research", a statement that tells you something significant without actually saying anything publicly verifiable.

Sutskever's argument, made in rare interviews, is that the current approach of scaling models with more data and larger compute is reaching its limits, and that future progress requires fundamentally new scientific ideas. Whether SSI has those ideas is something only Nvidia, Andreessen Horowitz, Sequoia, and DST Global have been able to verify. The rest of the market is taking a position on Sutskever's track record and Nvidia's judgment.

Fireworks AI: $1.5B Series D

Announced: Week of July 28, 2026

Fireworks AI builds tools that help enterprises turn general-purpose foundation models into specialised systems trained on their own proprietary data. The core product is model fine-tuning and deployment infrastructure, the layer between a foundation model and a production application. Founded in 2022 by former Meta AI researchers, the company operates in a similar space to Baseten, competing on the enterprise customisation angle rather than raw inference speed.

The $1.5 billion Series D makes it one of the largest AI infrastructure rounds of the month. The investor list and full valuation terms have not been publicly confirmed, but the round follows a pattern visible across inference and deployment infrastructure: capital is concentrating at the layer that sits between model labs and enterprise deployments, because that is where switching costs accumulate and where margin can be defended against commoditisation pressure from below (chips) and above (model labs).

Together AI: $800M Series C, Led by Aramco Ventures

Announced: Week of July 28, 2026

Together AI provides infrastructure for companies running open-source models, with the pitch that open-weight models combined with dedicated inference infrastructure can match or beat closed-model API performance at lower cost. The $800 million Series C was led by Aramco Ventures, with Nvidia, Salesforce Ventures, General Catalyst, and Vista Equity participating.

The Aramco Ventures lead is the detail worth noting. Saudi Arabia's national oil company investing at scale into open-source AI inference infrastructure in the US is a sovereign AI play, not a conventional VC bet. Aramco has been among the most aggressive Middle Eastern investors in AI infrastructure globally, and the Together AI round is consistent with the emerging market AI capital flows we covered in ourpiece on the GPCA's $8.8 billion H1 2026 emerging markets data.

Atoms: $1.7B Led by a16z, Travis Kalanick's Physical AI Company

Announced: Week of July 18, 2026

Atoms was founded by Travis Kalanick, the co-founder and former CEO of Uber, who left the company after a series of governance crises in 2017. Kalanick has been building in relative quiet since, and Atoms is his bet on physical AI, applying AI to the design, engineering, and manufacturing of physical products. The specific focus is on using AI to compress product development cycles, from concept to manufacturable design, in industries where the current process takes years and costs hundreds of millions.

The $1.7 billion round led by Andreessen Horowitz is a significant endorsement of the physical AI thesis more broadly. As we covered in ourpiece on Physical AI overtaking fintech as a private market category, robotics and physical AI have surpassed fintech in combined private company value for the first time, and the capital backing Atoms is part of that same wave: AI applied not to screens or APIs but to the physical world of manufacturing, logistics, and product development.

The Pattern Across All Five

These raises are consistently showing that the AI private market is not slowing down, and it is not narrowing to foundation model labs alone. Infrastructure, physical AI, open-weight deployment, and safety research are all attracting capital at scale simultaneously.

The Groq story is a reminder that the path from promising startup to sustainable business is not linear even when the technology is validated. Being acqui-hired by the incumbent at a premium is not the same as building something durable independently, and the company now rebuilding at half its former valuation is a case study in what happens when the people and the IP leave together.

The SSI story is the opposite extreme: a company with no product or public research, and an extraordinary fundraising multiple, backed entirely on the founder's prior work and the investor's private assessment of what the lab has built in closed doors. One of those bets will look prescient. The other will look like a cautionary tale about backing reputation over evidence. It is not yet clear which is which.

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