Open-Source Inference Engineering for the Agentic Era
Conference Context
- Date/time: 2026-06-29 · 9:00am-11:00am
- Track/room: Workshops Day 1 · Track 8
- Speaker(s): Zain Hasan, Yubo Wang, Qingyang Wu, Jue Wang
- Session type/status: sponsor · confirmed
- Track: Workshops Day 1
- Room: Track 8
- Session type: sponsor
- Status: confirmed
Session Description
Agentic coding workloads demand long contexts, multi-turn conversations, and throughput at a scale that most inference engines weren't built for. TokenSpeed is a new open-source engine purpose-built for this regime, built collaboratively by NVIDIA DevTech, AMD Triton, Qwen Inference, Together AI, and others. In this 2-hour hands-on workshop, Together Inference Research Engineers and a TokenSpeed co-creator will cover TokenSpeed architecture, deploying your first model, optimizing for agentic workloads, kernel and hardware tuning, and throughput/latency trade-offs.
Media Evidence
No related AI Engineer channel video found yet.
Evidence Graph
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Media Signals
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Agent Reading Notes
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Transcript Status
No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.
People
Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.
Synthesis
Synthesized Breakdown
Open-Source Inference Engineering for the Agentic Era ## Conference Context - Date/time: 2026-06-29 · 9:00am-11:00am - Track/room: Workshops Day 1 · Track 8 - Speaker(s): Zain Hasan, Yubo Wang, Qingyang Wu, Jue Wang - Session type/status: sponsor · confirmed - Track: Workshops Day 1 - Room: Track 8 - Session type: sponsor - Status: confirmed ## Session Description Agentic coding workloads demand long contexts, multi-turn conversations, and throughput at a scale that most inference engines weren't built for. TokenSpeed is a new open-source engine purpose-built for this regime, built collaboratively by NVIDIA DevTech, AMD Triton, Qwen Inference, Together AI, and others. In this 2-hour hands-on workshop, Together Inference Research Engineers and a TokenSpeed co-creator will cover TokenSpeed architecture, deploying your first model, optimizing for agentic workloads, kernel and hardware tuning, and throughput/latency trade-offs. ## Media Evidence No related AI Engineer channel video found yet.
Speaker And Company Context
- Zain Hasan — Staff AI/ML Engineer - DX at Together AI.
- Yubo Wang — LLM Inference at Together AI.
- Qingyang Wu — Staff Research Scientist at Together AI.
- Jue Wang — Senior Staff Researcher at Together AI.
Topics Covered
Derived Links And Source Material
Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.
Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.