Uploaded May 2026 | Updated September 2026, 2 weeks ago
ARSAT’s mission is to connect Argentinians to the world. But doing so means building out and managing data centers, satellites, and thousands of kilometres of fiber optics cables. When faced with diverging departments, ARSAT turned to Red Hat to consolidate their operations with OpenShift and OpenShift AI.
Find the details of their massive project at https://red.ht/ARSAT
About Red Hat Innovation Awards 2026:
Through the Red Hat Innovation Awards program, Red Hat recognizes customers who have come up with exciting new ideas. This year, we honor four winners who took those big ideas and turned them into bold projects and outstanding technological achievements. Their stories show what's possible when teams work together using an open source approach. Learn more about their achievements here: https://red.ht/innovationawards
ARSAT’s mission is to connect Argentinians to the world. But doing so means building out and managing data centers, satellites, and thousands of kilometres of fiber optics cables. When faced with diverging departments, ARSAT turned to Red Hat to consolidate their operations with OpenShift and OpenShift AI.
Find the details of their massive project at https://red.ht/ARSAT
About Red Hat Innovation Awards 2026:
Through the Red Hat Innovation Awards program, Red Hat recognizes customers who have come up with exciting new ideas. This year, we honor four winners who took those big ideas and turned them into bold projects and outstanding technological achievements. Their stories show what's possible when teams work together using an open source approach. Learn more about their achievements here: https://red.ht/innovationawards



![[vLLM Office Hours #56] - GuideLLM v0.7: Benchmarking Reasoning and Agentic Traces - August 20, 2026
Welcome to vLLM office hours! These bi-weekly sessions are your chance to stay current with the vLLM ecosystem, ask questions, and hear directly from contributors and power users.
This weeks special topic: GuideLLM v0.7.0: Benchmarking Reasoning, Tool Calling, and Agentic Traces.
vLLM project update from core maintainer Michael Goin, covering the v0.27 release plus day-zero support for Qwen3.8, decode context parallelism, and adaptive verification for speculative decoding.
Lightning topic 1: Running Codex and Claude Code CLIs with vLLM and open models, with Francisco Javier Arceo (Red Hat AI) and Tun Jian Tan (Embedded LLM). A look at the Agentic API project, which keeps stateful logic outside vLLM so the inference engine stays stateless, plus a live demo of server-side web search.
Lightning topic 2: Speculators update from maintainer Rahul Tuli, covering the v0.6.0 and v0.7.0 releases, new algorithms including P-EAGLE and DSpark, MTP fine-tuning, and a config-file-first training CLI.
Then our special topic, with Samuel Monson and Jared OConnell (Red Hat AI): what performance benchmarking actually measures, how GuideLLM simulates realistic request patterns, and how the tool is evolving to handle multi-turn conversations, tool calling, sub-agents, and trace replay.
Slides: https://docs.google.com/presentation/d/1GdxjSmHvwM-X6sylRrbHo9-0UYQOSpJMNvhxqFUXZSY
Want to join the discussion live on Google Meet? Get a calendar invite by filling out this form: https://red.ht/office-hours
Timestamps:
00:00 Intro
03:06 Whats new in the vLLM community over the past two weeks
12:02 vLLM v0.27 release
15:50 Lightning topic: Codex and Claude Code CLIs with vLLM
22:40 Lightning topic: Speculators update
33:33 GuideLLM v0.7.0 deep dive
50:45 Q&A [vLLM Office Hours #56] - GuideLLM v0.7: Benchmarking Reasoning and Agentic Traces - August 20, 2026](https://i.ytimg.com/vi/dQAByb7N5QQ/mqdefault.jpg)






