Each Graviton5 chip contains 192 cores that can be assigned to different tasks simultaneously, enabling parallel processing for complex AI workflows.
“As we scale the infrastructure behind Meta's AI ambitions, diversifying our compute sources is a strategic imperative,” said Meta Head of Infrastructure Santosh Janardhan, in a statement. “AWS has been a trusted cloud partner for years, and expanding to Graviton allows us to run the CPU-intensive workloads behind agentic AI with the performance and efficiency we need at our scale.”
The deal underscores how major technology companies are expanding beyond graphics processors that have dominated AI model training. As AI applications mature from research to production, companies increasingly need CPUs optimized for running trained models efficiently—handling user queries, generating responses, and managing complex reasoning tasks in real time.
