Next-Generation AI Chip Companies Challenge NVIDIA's Dominance Through Six Approaches, Shifting Focus from Peak Compute Power to Complete Redesign of Data Movement Efficiency

BlockBeats News, July 26: Anthropic investor Deedy pointed out that all startups developing next-generation AI chips are attempting to break NVIDIA's dominance in various ways, targeting the fundamental issue of "data movement." The six differentiated approaches include: eliminating DRAM (Groq, acquired by NVIDIA for $20 billion), eliminating interconnects (Cerebras, listed with a market cap of approximately $48 billion), eliminating compute/memory separation (d-Matrix), eliminating server-centric architectures (Majestic), eliminating general-purpose functionality (Etched, Taalas, MatX), and eliminating $400 million lithography machines (Substrate). The listing and acquisition prices of Cerebras and Groq have set pricing benchmarks for the entire AI chip sector, while Etched's valuation doubled this week to $10.3 billion, exploding from a low-profile status in just three weeks, further confirming that capital is rapidly reassessing valuations in this sector. Among 18 major startups, the combined paper value of private companies is approximately $58 billion, while the public market valuation is around $48 billion, covering multiple subfields such as inference, training/new architectures, systems, fabs, and lithography. Each approach challenges the core assumptions of NVIDIA's GPU architecture—that data movement between compute units and memory consumes both time and energy. Groq eliminates memory hierarchy latency by replacing DRAM with SRAM, Cerebras removes interconnect bottlenecks with wafer-scale chips, d-Matrix performs computation directly within memory, and Etched abandons general-purpose functionality to design hardware specifically for Transformer architectures. The AI chip startup ecosystem has evolved from a single narrative of GPU replacement to a multi-pronged architectural attack. NVIDIA's proactive involvement in this process through its acquisition of Groq demonstrates its awareness that the core of next-generation competition is no longer peak compute power but the complete redesign of data movement efficiency. [Original Link]