Cloudflare builds specialized infrastructure for running LLMs at scale
Cloudflare has announced new infrastructure components optimized for deploying and running large language models, targeting enterprises seeking alternatives to hyperscaler-locked inference paths. The platform aims to reduce latency and cost for LLM inference at the edge.
This move positions Cloudflare as a neutral carrier for model serving, competing with AWS SageMaker, Azure Cognitive Services, and Google Vertex AI on open-source and third-party model deployments.