料金未指定
テストとセキュリティ
Rapid MLX Performance Workflow
Investigate Rapid MLX performance, prototype changes, benchmark results, and prepare reviewed improvements.
4135スター441フォーク
リポジトリの最終プッシュ
raullenchai
スキルを探す
ウェブサイト、画像、プレゼンテーション、動画のためのオリジナルワークフロー。
無料
テストとセキュリティ
Ponytail: Benchmark Scoreboard
Display Ponytail’s recorded benchmark results for code size, cost and execution speed.
18.9万スター1.1万フォーク
リポジトリの最終プッシュ
DietrichGebert
Field-tested methodology and concrete recipes for training and operating large-scale LLM/VLM/multi-modal models end to end - choosing and benchmarking accelerators, storage and network; SLURM/Kubernetes orchestration; maximizing training throughput and fitting models in memory; diagnosing and surviving training instabilities, NaN/Inf, and hardware/job failures; checkpointing and fault tolerance; inference…
2万スター1301フォーク
リポジトリの最終プッシュ
Apply practical large-model training and operations guidance, and evaluate GPU cluster performance and readiness.
2万スター1301フォーク
リポジトリの最終プッシュ
Evaluates an ML GPU cluster for a cloud trial or acceptance test: environment dump, isolated newest PyTorch, matmul FLOPS (MAMF/MSMF) on every GPU while the others compute, intra-node all-reduce bandwidth and per-call latency of every collective, the same inter-node on every node you were given (omit those sections if there is only one node), fio on local disk and shared FS, dated markdown report.
2万スター1301フォーク
リポジトリの最終プッシュ
丁寧につくった小さなライブラリ。新しいスキルも追加予定です。