InfiniBand vs. RoCE for AI Training
InfiniBand matters for distributed training across 16+ GPUs. For single-node workloads, standard networking is fine. This guide …
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GPU Cloud Providers: Owners vs. Aggregators vs. Colocation
GPU cloud providers fall into three categories: owners who control their data centers and hardware, hardware owners who use colocation, and aggregators who resell third-party capacity. The ownership model directly affects pricing stability, SLAs, and support accountability for production AI workloads.
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Running SLURM on Kubernetes with Nebius
Why HPC teams want SLURM semantics even when they have Kubernetes, and how to get both on Nebius AI Cloud
Validating Multi-Node GPU Clusters with NCCL Tests
How to run NCCL all_reduce benchmarks to verify your GPU cluster's interconnect performance before running production training.
Multi-Node GPU Training Infrastructure on Crusoe with Terraform
Provisioning multi-GPU clusters with InfiniBand and NVLink using the Crusoe Terraform provider for distributed training workloads.
Saturn Cloud on Crusoe: Platform Architecture
How to deploy Saturn Cloud on Crusoe for teams that need H100, H200, and GB200 GPUs without hyperscaler quota constraints.
A Field Guide to Crusoe InfiniBand with Terraform
Practical answers to the questions you'll have when provisioning InfiniBand-connected GPU clusters on Crusoe.