<p id="speakable-summary" class="wp-block-paragraph">Startup Groq has <a href="https://groq.com/newsroom/groq-closes-usd350-million-series-a-building-the-world-s-leading-ai-inference-cloud" target="_blank" rel="noreferrer noopener nofollow">raised</a> $350 million as it continues to pivot from an AI chipmaker to a neocloud company that provides powerful GPUs and AI infrastructure services. </p>
<p class="wp-block-paragraph">The new capital, led by investment firm Disruptive with planned participation from Nvidia, values the company at $3.5 billion. That’s down from the <a href="https://techcrunch.com/2025/09/17/nvidia-ai-chip-challenger-groq-raises-even-more-than-expected-hits-6-9b-valuation/">$6.9 billion Groq</a> was valued at last September, just a few months before Nvidia <a href="https://techcrunch.com/2025/12/24/nvidia-acquires-ai-chip-challenger-groq-for-20b-report-says/">hired the startup’s founder</a> and CEO, Jonathan Ross, and other top talent as part of a $20 billion licensing deal that the company paid out to investors. </p>
<p class="wp-block-paragraph">A spokesperson for the company told TechCrunch that despite the difference in valuation, the company doesn’t see it as a down round, but rather as establishing a new valuation for the “post-Nvidia-licensing-deal version of Groq.” </p>
<p class="wp-block-paragraph">Groq was focused on building its own chips, dubbed LPUs (language processing units), to compete with Nvidia on inference — the type of compute needed to run AI workloads in real time. After it lost its star team, Groq shifted from being a pure AI chipmaker into a cloud and data center provider that operates Nvidia systems. </p>
<p class="wp-block-paragraph">In June, <a href="https://techcrunch.com/2026/06/22/ai-chipmaker-groq-confirms-650m-raise-re-staffs-after-nvidias-20b-not-acqui-hire-deal/">Groq raised a $650 million </a>round to kick off its pivot. Groq intends to scale from 54 megawatts to more than 200 megawatts in 2027.</p>
<p class="wp-block-paragraph">Today, Groq operates 13 data centers across North America, Europe, the Middle East, and Asia Pacific, serving more than 6 million developers, enterprises, and AI-native companies. Groq says the fresh funds will support “those seeking usage of medium and larger sized clusters of Nvidia accelerated computing for training and inference.” </p>
<p class="wp-block-paragraph">“We are building Groq into the world’s leading AI inference cloud,” Alex Davis, Groq’s chairman and CEO of Disruptive, said in a statement. “Inference will without a doubt become the largest and most critical layer of AI infrastructure.”</p>
<p class="wp-block-paragraph">While inference is in high demand as enterprises scale AI workloads, it’s an open question whether neoclouds will be a profitable enough business to provide returns on their considerable investment in the long term. CoreWeave reported strong second-quarter revenue growth and recently landed major contracts, including with Meta and Anthropic. However, investors remained concerned about the company’s high capital expenditures, <a href="https://techcrunch.com/2026/01/26/nvidia-invests-2b-to-help-debt-ridden-coreweave-add-5gw-of-ai-compute/">heavy reliance on debt</a>, and exposure to rapidly depreciating hardware, and its ability to turn growth into free cash flow. </p>
<p class="wp-block-paragraph">Groq’s financials are still private for now, but its pivot puts the company directly inside Nvidia’s AI infrastructure ecosystem. That’s not exactly a unique relationship among neoclouds today. Nvidia supplies the GPUs powering clouds from <a href="https://techcrunch.com/2026/01/26/nvidia-invests-2b-to-help-debt-ridden-coreweave-add-5gw-of-ai-compute/">CoreWeave</a>, Lambda, and Nebius, while also investing billions into some of those companies as they race to build more capacity.</p>
<p class="wp-block-paragraph">TechCrunch has reached out to Groq for more information.</p>
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