Blog
2026-01-28
The Hidden Cost of Network Bottlenecks in Distributed Training
Average GPU utilization tells you almost nothing about training efficiency. We explain why interconnect bandwidth and all-reduce latency are the metrics ML teams should obsess over.
Read more →2025-09-15
Building a GPU Data Center from Scratch: Lessons Learned
We share the hard-won lessons from designing and constructing six purpose-built GPU facilities across three continents.
Read more →2026-03-01
When to Use Bare-Metal GPUs vs. Cloud GPU Instances
Cloud GPU instances are convenient, but for sustained training workloads they can cost 3-5x more. We outline the use cases where bare metal delivers real ROI.
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