Serverless

Vectroid

Vectroid introduces a serverless vector search solution that maintains high accuracy and low latency while being cost-effective. The platform leverages HNSW algorithm with optimized resource allocation and dynamic scaling capabilities, delivering over 90% recall while handling high query loads. It operates through independently scalable microservices for reads and writes, with data persisted to cloud object storage.

Making Cloudflare the best platform for building AI Agents

Cloudflare announces the agents-sdk framework for building AI agents, along with updates to Workers AI including JSON mode and longer context windows. The platform enables developers to create autonomous AI systems that can execute tasks through dynamic decision-making, with seamless deployment and scaling capabilities on Cloudflare's infrastructure.

Meta’s Hyperscale Infrastructure: Overview and Insights

Meta's hyperscale infrastructure emphasizes rapid deployment, technology openness, and shared resources across global datacenters, enabling efficient processing of billions of user requests through an integrated system of PoPs, CDNs, and datacenter regions. The infrastructure employs innovative approaches to boost developer productivity through continuous deployment and serverless functions, while reducing hardware costs through global resource optimization and hardware-software co-design.