TLDRocket
Sign in

IBM and contributors released llm-d version 1.0, a Kubernetes-native distributed inference serving framework for enterprise LLM deployments

Feature update Provisional 86% confidence first seen

IBM Research contributors announced llm-d 1.0 at the PyTorch Conference North America. The release positions llm-d as a Kubernetes-native, distributed inference serving network with operational features such as multi-tenant quality of service and zero-downtime upgrades, and it reports a result of 97% cache reuse in an agentic coding workload test.

llm-d llm-d 1.0 llm-d framework IBM Kubernetes PyTorch Conference North America Red Hat prefix-aware router

Source coverage

llm-d 1.0 hardens open-source AI inference for production IBM Research IBM-backed llm-d framework adds controls for running AI models in-house SiliconANGLE independent

The daily briefing

Every AI story that matters, in your inbox by 8am.

TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.