Hacker GitHub

← All repos

NVIDIA/dgx-spark-playbooks

View on GitHub ↗ ★ 1,483 Jupyter Notebook

Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.

4 mentions on Hacker News by 3 people: 0 stories, 4 comments · first 2025-11-04 · latest 2026-07-06

Mentions per year 4 mentions · busiest year 2026 (3)
20082026
  1. …) - this is AMD's answer to Nvidia's playbooks ( https://build.nvidia.com/spark / https://github.com/NVIDIA/dgx-spark-playbooks ) - I think it's great that they're actually taking this more seriously. Hardware is the exact same as what used
  2. …configure/tune vLLM on Spark, and then move it into a B200 and even expect it to work, etc.) [1] -- https://github.com/NVIDIA/dgx-spark-playbooks/issues/22
  3. …better off getting an RTX 6000 or two, which is also gimped, but at least is much faster. [1] -- https://github.com/NVIDIA/dgx-spark-playbooks/issues/22
  4. …been merge as I write this, so if you run into a problem with the Unsloth playbook, see: PR #14: https://github.com/NVIDIA/dgx-spark-playbooks/pull/14