Nvidia commands an estimated 81% to 90% of the AI data center accelerator market, a dominance built on years of GPU innovation and the stickiness of its CUDA software ecosystem.
AMD, Google, Cerebras, Amazon, Meta, and Microsoft are all investing heavily in alternatives, whether through merchant GPUs, custom silicon, or entirely new architectures.
The challengers are getting specific
AMD secured deployment commitments of 6 GW each from OpenAI and Meta, plus 2 GW from Anthropic, all for its MI450 series and Helios rack-scale platforms.
Cerebras launched its CS-4 rack-scale inference system, claiming 750 PFLOPS of performance, roughly double what its previous generation delivered.
