Precio sin especificar
Pruebas y seguridad
Rapid MLX Performance Workflow
Investigate Rapid MLX performance, prototype changes, benchmark results, and prepare reviewed improvements.
4,1 milEstrellas441Forks
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raullenchai
Explorar skills
Flujos originales para sitios web, imágenes, presentaciones y todo lo que se mueve.
Gratis
Pruebas y seguridad
Ponytail: Benchmark Scoreboard
Display Ponytail’s recorded benchmark results for code size, cost and execution speed.
189,4 milEstrellas10,5 milForks
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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…
19,7 milEstrellas1,3 milForks
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Apply practical large-model training and operations guidance, and evaluate GPU cluster performance and readiness.
19,7 milEstrellas1,3 milForks
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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.
19,7 milEstrellas1,3 milForks
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Una pequeña biblioteca hecha con cuidado. Pronto habrá más skills.