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24 lines
1.1 KiB
Markdown
24 lines
1.1 KiB
Markdown
---
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name: dgx-spark-nccl
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description: Install and test NCCL on two Sparks — on NVIDIA DGX Spark. Use when setting up nccl on Spark hardware.
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---
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<!-- GENERATED:BEGIN from nvidia/nccl/README.md -->
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# NCCL for Two Sparks
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> Install and test NCCL on two Sparks
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NCCL (NVIDIA Collective Communication Library) enables high-performance GPU-to-GPU communication
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across multiple nodes. This walkthrough sets up NCCL for multi-node distributed training on
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DGX Spark systems with Blackwell architecture. You'll configure networking, build NCCL from
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source with Blackwell support, and validate communication between nodes.
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**Outcome**: You'll have a working multi-node NCCL environment that enables high-bandwidth GPU communication
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across DGX Spark systems for distributed training workloads, with validated network performance
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and proper GPU topology detection.
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Duration: 30 minutes for setup and validation · Risk: Medium - involves network configuration changes
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**Full playbook**: `/home/runner/work/dgx-spark-playbooks/dgx-spark-playbooks/nvidia/nccl/README.md`
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<!-- GENERATED:END -->
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