dstack
dstack is an open-source engine for running GPU workloads. It simplifies development, training, and deployment of gen AI models on any cloud.
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- dstack Public
dstack is an open-source alternative to Kubernetes and Slurm, designed to simplify GPU allocation and AI workload orchestration for ML teams across top clouds, on-prem clusters, and accelerators.
dstackai/dstack’s past year of commit activity - dstackai.github.io Public
dstackai/dstackai.github.io’s past year of commit activity - static-assets Public
dstackai/static-assets’s past year of commit activity - dstack-enterprise Public
dstack Enterprise extends the open-source version of dstack with enterprise features.
dstackai/dstack-enterprise’s past year of commit activity - RAGEN Public Forked from RAGEN-AI/RAGEN
RAGEN leverages reinforcement learning to train LLM reasoning agents in interactive, stochastic environments.
dstackai/RAGEN’s past year of commit activity - tt-smi-docker Public
dstackai/tt-smi-docker’s past year of commit activity - benchmarks Public
dstackai/benchmarks’s past year of commit activity - optimum-tpu Public Forked from huggingface/optimum-tpu
Google TPU optimizations for transformers models
dstackai/optimum-tpu’s past year of commit activity
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