AMD takes a shot at Nvidia by betting on AI's next big shift
AMD is partnering with Cerebras to promote 'disaggregated inference,' a strategy that splits AI workloads across different types of specialized hardware. This approach aims to challenge Nvidia's dominance by optimizing performance and cost for AI model deployment.
Why it matters
As the AI industry shifts from training models to running them, hardware efficiency has become the primary battleground for chip manufacturers.
AMD president and CEO Lisa Su. Leon Neal/Getty Images AMD is betting the future of AI inference won't rely on a single chip. A new Cerebras pact reflects a shift toward "disaggregated inference." AMD says its new Helios server system rivals Nvidia in performance and cost. AMD is making a bet about the future of AI: one chip shouldn't rule them all. CEO Lisa Su announced Thursday that AMD is teaming up with chip startup Cerebras on a new approach to AI inference , which is the process of generating responses from AI models. Increasingly, chipmakers are pursuing "disaggregated inference," which splits workloads across different types of hardware. AMD's partnership with Cerebras shows the company is betting big on this approach. Traditionally, the same hardware handled both processing a prompt and generating an answer. AMD argues those are fundamentally different jobs.
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