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Luke Kawa

Nvidia strikes licensing agreement with AI inference specialist Groq

Nvidia reached an agreement to work with AI chip startup Groq to enhance its inference capabilities.

CNBC is calling this a $20 billion acquisition in cash, citing the top investor in Groq’s latest financing round (which valued it at roughly $6.9 billion in September). Groq’s press release on the matter, however, refers to this only as a “non-exclusive licensing agreement” and says “Groq will continue to operate as an independent company,” with no financial details provided. The lack of an official acquisition may be a bid to duck any potential antitrust concerns.

However, this is definitively an acqui-hire, as Groq founder Jonathan Ross and President Sunny Madra, as well as other members of their team, will be joining the chip designer “to help advance and scale the licensed technology.”

Inference is the “thinking” part of AI models — as opposed to training, which is more of the “learning.” Groq’s AI chips are LPUs (language processing units), distinct from GPUs (graphics processing units) or TPUs (tensor processing units). The company boasts that these chips “run Large Language Models (LLMs) and other leading models at substantially faster speeds and, on an architectural level, up to 10x more efficiently from an energy perspective compared to GPUs.” These products don’t need external high-bandwidth memory chips, which are facing a supply crunch, but rather use a different method of on-chip memory: SRAM, or static random-access memory.

Through this deal, Nvidia is likely looking to boost the efficiency of its AI solutions in a power-hungry (and scarce) world. It may also be viewed as a response to the success of Google’s Gemini 3 model, which utilizes TPUs that are also cheaper to operate than Nvidia’s GPUs. (In a fun twist, Ross, the Groq founder, was one of the architects of what would become Google’s first TPU during his time with the search giant).

“We plan to integrate Groq’s low-latency processors into the NVIDIA AI factory architecture, extending the platform to serve an even broader range of AI inference and real-time workloads,” Nvidia CEO Jensen Huang wrote in an email to employees, as reported by CNBC.

Good news for Groq is also good news for one of America’s most controversial and outspoken venture capitalists: Chamath Palihapitiya, whose Social Capital fund was an early investor in the company. Chamath’s SPACs have generally tended to go over like a lead zeppelin, but this investment is already a massive winner.

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Ford surges on bullish options activity, Morgan Stanley praises its battery business

Ford is on pace for its best trading day in seven months as bullish options activity propels the stock.

More than 226,000 call options have changed hands as of 11:25 a.m. ET on Wednesday, roughly 4x the 20-day average for a full session.

A Tuesday evening note from Morgan Stanley highlighted the company’s new energy business, Ford Energy, which will sell US-assembled battery systems to “utilities, data centers and large industrial and commercial customers in the United States.”

“We believe that there is a fairly high likelihood that Ford signs an [energy storage system] supply agreement with large commercial customers, and potentially hyperscalers, over the next few months,” said Morgan Stanley analyst Andrew Percoco. The firm estimates that Ford Energy, which is licensing tech from Chinese battery giant CATL, could generate between $500 million and $600 million of run-rate earnings before interest and taxes at 20 gigawatt-hours of production.

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Tower Semiconductor soars on solid sales guidance with $1.3 billion in silicon photonics sales contracts

Tower Semiconductor is surging in early trading after the company released solid Q1 results and announced $1.3 billion in silicon photonics contract wins for 2027.

Q1 revenues of $413.6 million came in slightly better than Wall Street’s call, with adjusted diluted earnings per share of $0.65 well ahead of the $0.56 estimate.

Looking forward, the company projects Q2 2026 revenue to reach an all-time record of $455 million (plus or minus 5%), above analysts’ expectations for $436.6 million.

Tower Semiconductor is benefiting from a surge in demand for AI infrastructure and is committed to its multiyear growth target in its silicon photonics business. Tower has already received $290 million in customer cash prepayments to reserve this capacity. Management said it has “an even larger contractual wafer commitment for 2028 for which additional associated prepayments are due by January 2027.”

“We are confident in our path toward achieving our model targets of $2.8 billion in annual revenue and $750 million in net profit in 2028,” said Russell Ellwanger, CEO of Tower Semiconductor.

Shares of Tower Semiconductor are up more than 80% year to date.

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Nebius soars on strong Q1 results, boost to full-year contracted power guidance

Nebius is soaring in early trading after reporting robust Q1 results and boosting its outlook for how much power it expects to have secured by year-end, a necessary ingredient for AI compute.

For the three months ended March 31, the neocloud reported:

  • Revenue of $399 million (compared to analyst estimates of $391.6 million).

  • Adjusted EBITDA of $129.5 million (estimate: $87.2 million).

Management raised their guidance for contracted power, or energy supply, to more than 4 gigawatts by year-end 2026 from a prior view in February of more than 3 gigawatts.

These results “strengthen the case for scaled AI infrastructure, in our view,” wrote Bloomberg Intelligence senior technology analyst Vasu Kasibhotla. “The 3.5x quarter-over-quarter pipeline increase in 1Q, a new 1.2 GW Pennsylvania facility and $6.3 billion raised in the quarter improve funding and capacity to execute.”

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Eos Energy Enterprises soars on joint venture with Cerberus for energy storage and Q1 revenue beat

Eos Energy Enterprises is surging in premarket trading after the company reported better-than-expected Q1 sales and unveiled a joint venture with a major alternative investment firm for battery energy storage projects.

The key Q1 numbers:

  • Revenue of $57 million (compared to analyst estimates of $54.27 million).

  • Adjusted earnings per share of $0.12 (estimate: a $0.20 loss), which was juiced by a noncash change in fair value based on the change in EOSE’s share price.

Concurrently with earnings, Eos and Cerberus Capital Management announced the formation of a joint venture called Frontier Power USA, which will be a stand-alone, purpose-built Independent Power Producer to be supplied through a 2-gigawatt-hour capacity reservation agreement with Eos.

“Frontier Power USA is expected to deploy this capacity across commercial and industrial applications, AI data centers, and utility-scale projects, drawing from a multi GWh project pipeline which is under active development,” per the press release.

To support the platforms launch, Cerberus has committed $100 million in equity, and, to underscore its confidence in Eos, extended its stock lockup agreement through the end of 2026. Eos plans to launch a rights offering to raise $150 million to support this JV.

“The market is telling us what it needs: long-duration storage that is safe, American-made, and financeable at scale,” said Joe Mastrangelo, CEO of Eos. “We have the technology, the manufacturing, the controls, and now, with Frontier Power USA, the planned capital to accelerate project deployment.”

Last month, Eos also announced a joint development agreement with Turbine-X Energy. The partnership focuses on deploying zinc-based battery storage solutions for AI hyperscale data centers, with a target capacity of up to 2 gigawatt-hours beginning in 2027.

For the full year in 2026, Eos expects to achieve revenue between $300 million and $400 million, in line with its previously provided guidance.

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