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GPU is starving – LLM host dispatch at 191k steps/s on 1 vCPU

GPU is starving – LLM host dispatch at 191k steps/s on 1 vCPU

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TL;DR · WeSearch summary

Run Autonomous Verification & Anti-Cheat Suite ./scripts/run_audit.sh Executes the standalone, zero-dependency binary bin/floria-serving-audit (489 KB). Verifies 7/7 formal invariants in < 2s: FP64 ground truth concordance, zero GPU starvation over 1 200 requests, 100% recycled KV blocks (16 384 / 16 384 blocks), and sub-microsecond dispatch. Interactive Local Benchmark # Standard benchmark (batch 64, prompt 64, 180 steps) ./scripts/run_bench.sh 64 64 180 # Multi-core NUMA sharded benchmark ./scripts/run_bench.sh --sharded --shards-range 1,2,4,8,16 -c 256,512,1024,2048,4096 3.

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Record

Original publisherGitHub
Canonical URLhttps://github.com/cortexLab011/floria-serving
Publication timeTue, 22 Sep 2026 13:04:13 +0000
Retrieval time2026-09-22T13:13:51.615Z
Last seen2026-09-22T13:13:51.615Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterUeS51jf4Xg41 · 1 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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Unknown
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Snippet May a short excerpt of the publisher's text be shown? Allowed
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Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

FLORIA-SERVING (COMMUNITY LAUNCH PACK) Native High-Throughput Serving & Continuous Batching Acceleration Engine for Dense LLMs Publisher & Authors: The Floria Authors | Floria Systems Research Proven Physical Records (In-Situ Validated) Breakthrough Metric Hardware Node & Implementation Measured Score Industrial Impact Host Scheduler Multi-Streaming Intel Xeon 8470 (32 Shards) + NVIDIA H100 5 617 953.3 tok/s (8 192 streams) Host scheduler saturation (Jitter: 1.04) Hopper TMA Attention Kernel NVIDIA H100 SXM5 (Triton TMA/WGMMA) 1.25 ms (879.6 TFLOPS) +48.0% throughput vs PyTorch SDPA (1.48x) 1-vCPU Host Saturation Intel Xeon Platinum (AVX-512 Native) 191 617.3 tok/s (1 vCPU core) +2 041.0% throughput vs vLLM v0.6.0 Hardware Step Arbitration AMD EPYC 75F3 (Native Scheduler) 8.505 us / step…

Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.

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