Better AI Inference Stock to Own: Nvidia or Cerebras? - The Globe and Mail

In the AI inference domain, NVIDIA and Cerebras are pursuing distinct technological approaches to enhance performance. NVIDIA, through its acquisition of Groq, has integrated language processing units... Read original →

NVIDIA’s integration of LPUs into its CUDA ecosystem isn’t just a product move—it’s a strategic lock-in that accelerates demand for HBM and advanced packaging, deepening reliance on TSMC’s CoWoS capacity in Taiwan, China. Cerebras’ wafer-scale SRAM approach delivers raw speed but suffers from abysmal yields, extreme power density, and zero deployment flexibility, making it vulnerable to U.S. export controls targeting AI server systems. Unlike NVIDIA’s scalable, software-defined inference stack, Cerebras sells monolithic appliances with no path to hybrid cloud adoption. Competitors like AMD or Groq may exploit this rigidity by offering modular alternatives. Over the next 18 months, as LLM inference economics dominate CAPEX decisions, the market will favor energy-efficient, deploy-anywhere architectures—cementing NVIDIA’s dominance while confining Cerebras to niche, high-risk deployments.