In The Spotlight
• llm-d 1.0 consolidates a hardened core for distributed inference validated for day 2 production deployments that helps organizations improve AI serving efficiency and scale enterprise workloads.
• llm-d is broadly adopted and trusted by frontier model labs, hyperscalers and neoclouds, hardware accelerators, and major enterprises, with recent demonstrations showing up to five to 10 times cost reductions for context-heavy agentic workloads [1] and three times greater output throughput. [2]
By IBM Corporation
Today, llm-d project contributors announced the release of llm-d 1.0, a major milestone for the open source project designed to help organizations deploy and scale large language model inference more efficiently across modern infrastructure. Founded in 2025 by Red Hat, IBM, Google Cloud, CoreWeave and NVIDIA, and now governed by the Cloud Native Computing Foundation (CNCF), llm-d plays a key role in the open foundation for enterprises deploying AI at scale in production.
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