Nvidia's Groq acquihire is on the DOJ's radar, but it's already too late

If the DOJ forces Nvidia to unwind the Groq deal, other companies can readily fill the void with similar disaggregated compute architectures.

Nvidia's late 2024 $20 billion deal to license Groq's AI accelerator technology and hire its engineering team is under antitrust scrutiny by the US Department of Justice. While structured as a licensing and acquihire to potentially avoid traditional merger regulations, the DOJ is investigating whether the arrangement harmed competition. Nvidia maintains the deal is a success story that promotes innovation, but critics argue the move effectively stripped Groq of its independence. The deal integrated Groq's SRAM-heavy dataflow accelerators, which offer faster LLM inference than GPUs, into Nvidia's ecosystem, notably in its LPX racks. Nvidia has also been building an open ecosystem through contributions like its MGX rack designs to the Open Compute Project and licensing its NVLink Fusion interconnect technology, which allows other chipmakers to integrate their designs into Nvidia's infrastructure.

Even if the Department of Justice successfully forces Nvidia to unwind its $20 billion acquihire of Groq, the move may have limited impact on the competitive landscape. Nvidia has proactively established an open ecosystem by contributing its MGX rack designs to the Open Compute Project and licensing its NVLink Fusion interconnect technology. This strategy allows any chipmaker to integrate their own chips into Nvidia's rack designs and high-speed interconnects.

This approach means that even without direct control over Groq's LPU development or chip sales, Nvidia would still benefit from Groq's technology operating within its broader AI factory ecosystem. The existence of numerous alternative disaggregated compute architectures from competitors like Cerebras, SambaNova, and d-Matrix further diminishes the potential competitive harm from this specific deal, suggesting that the market is already moving toward similar solutions independently.