Resources
Insights, tools, and case studies to help you optimize GPU infrastructure and reduce AI training costs.
Latest Articles
Deep dives into GPU optimization, infrastructure efficiency, and autonomous management strategies.
Why $44.5B in GPU Compute Goes to Waste Every Year
Research shows that 37% of provisioned GPU capacity sits idle at any given moment. We analyzed 12 months of infrastructure data across 200+ ML teams to understand where the waste comes from—and how to fix it.
Read article →The Real Cost of a 3AM Node Failure
When a GPU node crashes during a training run, the obvious cost is the compute time lost. But the real cost is everything that follows: manual intervention, delayed experiments, and engineer hours debugging instead of shipping.
Read article →Autonomous vs. Manual GPU Management: A 6-Month Study
We tracked two identical ML infrastructure setups—one managed manually by an experienced SRE team, one managed autonomously by Blamphs. The results surprised us: autonomous management saved 43% on costs while reducing incidents by 71%.
Read article →The GPU Utilization Paradox: Why 80% Isn't Good Enough
Most teams celebrate hitting 80% GPU utilization. But when you dig into the numbers, that "utilization" often masks inefficiency: waiting for data loading, idle periods between epochs, and underutilized GPUs in multi-node clusters. Here's what real efficiency looks like.
Read article →Tools & Calculators
Free tools to analyze your GPU infrastructure and estimate potential savings.
💰 ROI Calculator
GPU Waste Audit Checklist
A comprehensive 24-point checklist to identify inefficiencies in your GPU infrastructure. Used by 500+ ML teams to find hidden cost savings.
Download PDFAutonomous Infrastructure Whitepaper
A deep dive into autonomous infrastructure management: how it works, why it's more reliable than manual ops, and case studies from production deployments.
Read WhitepaperCase Study: OpenAI-Scale Training
How a leading AI lab reduced GPU costs by 47% while scaling from 500 to 2,000 nodes. Includes before/after metrics, implementation timeline, and lessons learned.
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Implementation Guide
Step-by-step guide to deploying Blamphs in your infrastructure. From AWS IAM setup to configuring your first autonomous policy.
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