FlashRT: Agent-Driven Optimization Slashes Multimodal Latency 70x on B200
Krish Agarwal · hf · 2026-07-21
**FlashRT** is an agent harness designed to guide coding agents in deploying real-time multimodal applications, solving the challenge of efficiently deploying heterogeneous model pipelines across multi-GPUs. - **Problem**: Existing serving systems and auto-parallelism compilers commit to limited transformations, requiring hand-crafted implementations for new applications. - **Methodology**: Using a chain-of-program paradigm, FlashRT directs a coding agent to lift reference implementations into optimized multi-GPU deployments. The agent extracts an IR to capture dependencies, identifies candidate transformations via static analysis, and iteratively benchmarks them. - **Results**: On NVIDIA B200 GPUs, it delivers up to ~70x latency reduction and 2.8x throughput improvement. On AMD MI355X GPUs, peak throughput improvement hits 3.6x, proving agent-driven optimization scales better on less mature platforms.
More from coding & agent
- The author says Codex reached 20x and is now debugging spec decoding on a hybrid parallel setup — TheZachMueller · 2026-07-21
- Axcess adds an MCP connector for WCAG accessibility checks that scanners miss — modelcontextprotocol · 2026-07-21
- X post asks whether Cursor Composer, built on Kimi models, would also be banned — max_paperclips · 2026-07-21
- A developer’s Codex usage is draining pooled enterprise credits at a small company — Distinct_Relation_62 · 2026-07-21
- Qwen Code ships cua-driver-rs 0.7.3 with relative coordinates and MCP filtering — github-actions[bot] · 2026-07-21
- Matt Pocock says every new codebase turns legacy within days — mattpocockuk · 2026-07-21