--- title: "#dgxspark articles | Hashnode" description: "Explore 24 articles tagged #dgxspark on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/dgxspark" --- Tag # #dgxspark 24 posts · 0 followers [Robert Collins](https://hashnode.com/@robbiemu) · [Jul 1](https://hashnode.com/posts/dgx-spark-inference-keeping-good-habits-around-local-inference/6a451dbc63a097b73d3f139c) ### [dgx-spark-inference - Keeping good habits around local inference](https://selfenrichment.hashnode.dev/dgx-spark-inference-keeping-good-habits-around-local-inference?utm_source=hashnode&utm_medium=feed) Local inference has a habit of becoming folklore. You launch a model from a shell history fragment you can never quite find again. A context setting lives in a note somewhere. A faster quantization ge 8 min read · [selfenrichment.hashnode.dev](https://selfenrichment.hashnode.dev/dgx-spark-inference-keeping-good-habits-around-local-inference?utm_source=hashnode&utm_medium=feed) [Shaun Liew](https://hashnode.com/@shaunliew20) · [May 18](https://hashnode.com/posts/qwen3-speculative-decoding-on-the-dgx-spark-two-models-four-methods-one-surprising-lesson/6a0a72353104e2aff0ffc755) ### [Qwen3 Speculative Decoding on the DGX Spark: Two Models, Four Methods, One Surprising Lesson](https://shaunliew.hashnode.dev/qwen3-speculative-decoding-on-the-dgx-spark-two-models-four-methods-one-surprising-lesson?utm_source=hashnode&utm_medium=feed) A beginner's guide to one of the most practical speed techniques for AI inference, tested on real hardware with real numbers. 15 min read · [shaunliew.hashnode.dev](https://shaunliew.hashnode.dev/qwen3-speculative-decoding-on-the-dgx-spark-two-models-four-methods-one-surprising-lesson?utm_source=hashnode&utm_medium=feed) [Shaun Liew](https://hashnode.com/@shaunliew20) · [May 16](https://hashnode.com/posts/running-qwen3-vl-on-dgx-spark-transformers-vs-vllm-vs-sglang/6a0824a15adec4606348738f) ### [Running Qwen3-VL on DGX Spark: Transformers vs vLLM vs SGLang](https://shaunliew.hashnode.dev/running-qwen3-vl-on-dgx-spark-transformers-vs-vllm-vs-sglang?utm_source=hashnode&utm_medium=feed) A hands-on inference benchmark across three frameworks on a desk-sized AI supercomputer. 14 min read · [shaunliew.hashnode.dev](https://shaunliew.hashnode.dev/running-qwen3-vl-on-dgx-spark-transformers-vs-vllm-vs-sglang?utm_source=hashnode&utm_medium=feed) [강문규](https://hashnode.com/@devsnack) · [May 6](https://hashnode.com/posts/optimized-models-nvidia-dgx-spark-gb10-ranked/69fb26b550ecad4533189683) ### [Every Optimized Model for NVIDIA DGX Spark GB10 — Benchmarked & Ranked (April 2026)](https://devsnack.hashnode.dev/optimized-models-nvidia-dgx-spark-gb10-ranked?utm_source=hashnode&utm_medium=feed) Got your hands on an NVIDIA DGX Spark but have no idea which models to run on it? I scoured every GB10-optimized model on Hugging Face so you don't have to. Table of Contents What Makes DGX Spark Spe 8 min read · [devsnack.hashnode.dev](https://devsnack.hashnode.dev/optimized-models-nvidia-dgx-spark-gb10-ranked?utm_source=hashnode&utm_medium=feed) [1](https://hashnode.com/posts/optimized-models-nvidia-dgx-spark-gb10-ranked/69fb26b550ecad4533189683) [강문규](https://hashnode.com/@devsnack) · [May 6](https://hashnode.com/posts/qwen3-6-on-dgx-spark-vllm-nvfp4-dflash-vs-llama-cpp-2x-faster-at-88-104-tok-s/69fb2aa950ecad45331b9b3a) ### [Qwen3.6 on DGX Spark: vLLM + NVFP4 + DFlash vs llama.cpp — 2x Faster at 88–104 tok/s](https://devsnack.hashnode.dev/qwen3-6-on-dgx-spark-vllm-nvfp4-dflash-vs-llama-cpp-2x-faster-at-88-104-tok-s?utm_source=hashnode&utm_medium=feed) I benchmarked Qwen3.6-35B-A3B on DGX Spark GB10 using llama.cpp (45–50 tok/s) vs vLLM + NVFP4 + DFlash (88–104 tok/s). Full setup guide, docker-compose, troubleshooting, and real-world results. 10 min read · [devsnack.hashnode.dev](https://devsnack.hashnode.dev/qwen3-6-on-dgx-spark-vllm-nvfp4-dflash-vs-llama-cpp-2x-faster-at-88-104-tok-s?utm_source=hashnode&utm_medium=feed) [강문규](https://hashnode.com/@devsnack) · [May 6](https://hashnode.com/posts/gemma-4-mtp-drafter-on-dgx-spark-2-89x-speedup-for-dense-31b-no-quality-loss/69fb28d650ecad45331a34d9) ### [Gemma 4 MTP Drafter on DGX Spark: 2.89x Speedup for Dense 31B — No Quality Loss](https://devsnack.hashnode.dev/gemma-4-mtp-drafter-on-dgx-spark-2-89x-speedup-for-dense-31b-no-quality-loss?utm_source=hashnode&utm_medium=feed) An 870 MB drafter model turned Dense 31B from 6.5 → 18.8 tok/s. No model swap, no training, no quality degradation. If you have a DGX Spark, there's no reason not to use this. Key Results Model Fra 8 min read · [devsnack.hashnode.dev](https://devsnack.hashnode.dev/gemma-4-mtp-drafter-on-dgx-spark-2-89x-speedup-for-dense-31b-no-quality-loss?utm_source=hashnode&utm_medium=feed) [Saiyam Pathak](https://hashnode.com/@Saiyampathak) · [Apr 7](https://hashnode.com/posts/ssh-into-your-dgx-spark-from-anywhere-in-the-world-using-tailscale/69d4f2065da14bc70e408a12) ### [SSH Into Your DGX Spark From Anywhere in the World Using Tailscale](https://kubesimplify.hashnode.dev/ssh-into-your-dgx-spark-from-anywhere-in-the-world-using-tailscale?utm_source=hashnode&utm_medium=feed) Learn how to set up Tailscale on your NVIDIA DGX Spark for secure SSH access from anywhere in the world. 10 min read · [kubesimplify.hashnode.dev](https://kubesimplify.hashnode.dev/ssh-into-your-dgx-spark-from-anywhere-in-the-world-using-tailscale?utm_source=hashnode&utm_medium=feed) [Amegilla](https://hashnode.com/@amegillaAI) · [Apr 5](https://hashnode.com/posts/training-a-lora-with-unsloth-on-dgx-spark/69d2749840c9cabf44f66dc4) ### [Training a LoRA with Unsloth on DGX Spark](https://sparktastic.hashnode.dev/training-a-lora-with-unsloth-on-dgx-spark?utm_source=hashnode&utm_medium=feed) Having done a long detour through manually reviewing and finessing my training data, this weekend I was finally ready to train the LoRAs for my poster generation project. I have two planned: One to g 13 min read · [sparktastic.hashnode.dev](https://sparktastic.hashnode.dev/training-a-lora-with-unsloth-on-dgx-spark?utm_source=hashnode&utm_medium=feed) [Amegilla](https://hashnode.com/@amegillaAI) · [Mar 19](https://hashnode.com/posts/qwen3-vl-image-analysis-using-vllm-on-dgx-spark/69bbd0ba8c55d6eefbce05bb) ### [Qwen3-VL image analysis using vLLM on DGX Spark](https://sparktastic.hashnode.dev/qwen3-vl-image-analysis-using-vllm-on-dgx-spark?utm_source=hashnode&utm_medium=feed) The benefits of parallel processing 5 min read · [sparktastic.hashnode.dev](https://sparktastic.hashnode.dev/qwen3-vl-image-analysis-using-vllm-on-dgx-spark?utm_source=hashnode&utm_medium=feed) [Saiyam Pathak](https://hashnode.com/@Saiyampathak) · [Mar 14](https://hashnode.com/posts/nemotron3-on-dgx-spark/69b55834210c74252fef74ca) ### [Here's What I Learned About Nemotron 3 Super -I Ran a 120B Parameter Model on Nvidia DGX Spark](https://kubesimplify.hashnode.dev/nemotron3-on-dgx-spark?utm_source=hashnode&utm_medium=feed) Understand everything about Nvidia DGX spark along with hands on and benchmarks. 15 min read · [kubesimplify.hashnode.dev](https://kubesimplify.hashnode.dev/nemotron3-on-dgx-spark?utm_source=hashnode&utm_medium=feed)