Serve the home! Inference stack for your Nvidia DGX Spark aka the Grace Blackwell AI supercomputer on your desk. Mostly vLLM based for now and single-spark. For the not-so-rich buddies. If you want latest/in-testing, look at the branches
Run large language models on your Nvidia DGX Spark computer for efficient AI processing.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeServe the home! Inference stack for your Nvidia DGX Spark aka the Grace Blackwell AI supercomputer on your desk. Mostly vLLM based for now and single-spark. For the not-so-rich buddies. If you want latest/in-testing, look at the branches
dgx-spark-inference-stack has 51 stars on GitHub. It has been forked 5 times. dgx-spark-inference-stack is written mainly in Shell. It has been in active development since 2026. dgx-spark-inference-stack is available under the Apache-2.0 license. Its main topics are cuda, dgx, dgx-spark, docker.
Serve the home! Inference stack for your Nvidia DGX Spark aka the Grace Blackwell AI supercomputer on your desk. Mostly vLLM based for now and single-spark. For the not-so-rich buddies. If you want latest/in-testing, look at the branches
dgx-spark-inference-stack is an open-source project. It is released under the Apache-2.0 license.
Yes. dgx-spark-inference-stack is free and open source — you can use, modify and self-host it.
dgx-spark-inference-stack is available under the Apache-2.0 license.
dgx-spark-inference-stack is written mainly in Shell.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/jdaln-dgx-spark-inference-stack.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.