Distributed LLM Inference on Kubernetes with llm-d, Wasm, & TornadoVM

In this episode, Edoardo Vacchi discusses the evolving landscape of WebAssembly on the backend, running Java workloads on GPUs using TornadoVM, and optimizing distributed AI inference using llm-d and vLLM on Kubernetes. Edoardo explains how llm-d manages cache locality (KV and prefix caches), request routing, and batch inference across Kubernetes clusters to maximize expensive GPU utilization. Read a transcript of this interview: https://bit.ly/4eLRHnE Newsletter: Subscribe to the Software Architects' Newsletter, a monthly roundup of the patterns and technologies senior practitioners are working through, with the news and lessons from people doing the work: https://www.infoq.com/software-architects-newsletter InfoQ Online Certification Programs: InfoQ’s online cohorts put you in a small group of senior engineers and architects from other companies who face the same decisions. You bring a real decision from your job and work through it using approaches from QCon talks. You write up what you learned as an article, which makes you put the trade-offs into words before your next proposal at work. You leave with new approaches, or confirmation that the calls you’re already making are the right ones. See dates: https://certification.qconferences.com/ Upcoming Events: QCon San Francisco 2026 (November 16-20, 2026) https://qconsf.com/ QCon AI New York 2026 - AI Engineering Conference (December 15-16, 2026) https://newyork.qcon.ai/ QCon London 2027 (April 13-16, 2027) https://qconlondon.com/ QCon AI Boston 2027 - AI Engineering Conference (July 8-9, 2027) https://boston.qcon.ai/ The InfoQ Podcasts: Weekly conversations with senior software leaders about how they build systems and teams, including what they'd do differently. Listen to all our podcasts and read interview transcripts: The InfoQ Podcast: https://www.infoq.com/podcasts/ Engineering Culture Podcast by InfoQ: https://www.infoq.com/podcasts/#engineering_culture Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: Mastodon: https://techhub.social/@infoq X: https://x.com/InfoQ LinkedIn: https://www.linkedin.com/company/infoq/ Facebook: https://www.facebook.com/InfoQdotcom Instagram: https://www.instagram.com/infoqdotcom/ YouTube: https://www.youtube.com/infoq Bluesky: https://bsky.app/profile/infoq.com Write for InfoQ: Share what you've learned building software with a community of senior practitioners, and get your work in front of the people who read InfoQ. https://www.infoq.com/write-for-infoq