Skip to main content
cfregly
Profil créateur GitHub

cfregly

Vue par dépôt de 53 skills collectés dans 5 dépôts GitHub.

skills collectés
53
dépôts
5
mis à jour
4 août 2026
explorateur de dépôts

Dépôts et skills représentatifs

inference-capacity-sizing
Développeurs de logiciels

SLA-first GPU capacity sizing for a serving deployment: given a tokens-per-minute (TPM) target AND the interactivity SLA (output tokens/s/user), compute the pods and GPUs needed from a model's measured tok/s/user-vs-concurrency curve. Sizing MUST start from…

4 août 2026
inference-decode-step-budget
Développeurs de logiciels

Measure the low-concurrency (c=1..c=8) decode hot-path of a live vLLM pod FAST and CORRECTLY: where each token's time actually goes (GPU-busy vs host-idle gap vs comm), whether the workload is kernel-bound / host-bound / comm-bound, and what the addressable…

4 août 2026
inference-kernel-ncu-profile
Développeurs de logiciels

Capture per-kernel CUDA hardware-counter data (occupancy, achieved warps active, regs/thread, smem/block, DRAM throughput, arithmetic intensity, branch divergence %, warp-stall reason %) from a live vLLM inference pod via an `ncu` debug sidecar (no production…

4 août 2026
inference-kernel-profile
Développeurs de logiciels

Capture per-kernel CUDA profile data from a live vLLM inference pod via an nsys debug sidecar (no production image rebuild). Outputs `.nsys-rep` + summary CSV + top-kernels table that joins with the zymtrace per-kernel breakdown and the inference-perf-bench…

4 août 2026
inference-model-optimize
Développeurs de logiciels

End-to-end orchestrator that takes a NEW model from a bare HuggingFace id to a perf-lake-published, validated CROSS-ENGINE (vLLM + SGLang) champion on B200/GB300. Scaffolds a per-model harness + evidence bundle (run-id == experiment-id), then drives…

4 août 2026
inference-perf-bench
Développeurs de logiciels

Canonical inference perf-bench skill (formal name. The colloquial alias is `ai-bench` - identical behaviour). Drives NVIDIA AIPerf + the replay-playback dataset against an in-cluster vLLM endpoint to measure TTFT, ITL, throughput, tok/s/user, request latency,…

4 août 2026
inference-performance-hints
Développeurs de logiciels

Applies Jeff Dean and Sanjay Ghemawat's Performance Hints to GPU inference. Builds a back-of-the-envelope cost ledger, identifies the hot-path class, bounds each optimization with profile share, and routes the highest-value hypothesis to the repo's benchmark,…

4 août 2026
inference-tune-sweep
Développeurs de logiciels

Search a vLLM serving model's config space for its best inference performance: a `perftunereport campaign_run` matrix sweep over concurrency x max_num_batched_tokens x kv-cache-dtype x cudagraph_mode, plus a same-node controlled A/B (`run-controlled-ab.sh`)…

4 août 2026
Affichage de 8 skills collectés sur 33.
evidence-bundle-init
Développeurs de logiciels

Scaffold a new evidence bundle directory ready for reproducibility-grade evidence capture: SOURCE.md (operator + cluster + git SHA + UTC timestamp), summary.md (verdict skeleton), commands/ (for the four-file .cmd/.stdout/.stderr/.exit tuple capture per shell…

14 juin 2026
inference-capacity-sizing
Développeurs de logiciels

SLA-first GPU capacity sizing for a serving deployment: given a tokens-per-minute (TPM) target AND the interactivity SLA (output tokens/s/user), compute the pods and GPUs needed from a model's measured tok/s/user-vs-concurrency curve. Sizing MUST start from…

14 juin 2026
inference-decode-step-budget
Développeurs de logiciels

Measure the low-concurrency (c=1..c=8) decode hot-path of a live vLLM pod FAST and CORRECTLY: where each token's time actually goes (GPU-busy vs host-idle gap vs comm), whether the workload is kernel-bound / host-bound / comm-bound, and what the addressable…

14 juin 2026
inference-kernel-ncu-profile
Développeurs de logiciels

Capture per-kernel CUDA hardware-counter data (occupancy, achieved warps active, regs/thread, smem/block, DRAM throughput, arithmetic intensity, branch divergence %, warp-stall reason %) from a live vLLM inference pod via an `ncu` debug sidecar (no production…

14 juin 2026
inference-kernel-profile
Développeurs de logiciels

Capture per-kernel CUDA profile data from a live vLLM inference pod via an nsys debug sidecar (no production image rebuild). Outputs `.nsys-rep` + summary CSV + top-kernels table that joins with the zymtrace per-kernel breakdown and the inference-perf-bench…

14 juin 2026
inference-model-optimize
Développeurs de logiciels

End-to-end orchestrator that takes a NEW model from a bare HuggingFace id to a perf-lake-published, validated CROSS-ENGINE (vLLM + SGLang) champion on B200/GB300. Scaffolds a per-model harness + evidence bundle (run-id == experiment-id), then drives…

14 juin 2026
inference-perf-baseline-bridge
Développeurs de logiciels

Bridge between the inference-perf-bench / ai-bench output bundle and the profile-and-optimize perf-baseline registry. Knows the canonical inference perf metric shape (TTFT p50/p95/p99, ITL p50, throughput, tok/s/user, request latency p50, prefix cache hit…

14 juin 2026
inference-perf-bench
Développeurs de logiciels

Canonical inference perf-bench skill (formal name. The colloquial alias is `ai-bench` - identical behaviour). Drives NVIDIA AIPerf + the replay-playback dataset against an in-cluster vLLM endpoint to measure TTFT, ITL, throughput, tok/s/user, request latency,…

14 juin 2026
Affichage de 8 skills collectés sur 16.
5 dépôts affichés sur 5
Tous les dépôts sont affichés