AI/HPC
Used GPUs for AI: The Secondary Market Reshaping Enterprise Compute
The B2B market for used and refurbished data center GPUs, mapped: pricing, players, and the depreciation debate.
Token Factories, GPU Second Life, Energy Demand Growth: 6 Takeaways from GTC 2026
We attended GTC 2026. Here are the 6 takeaways that matter for infrastructure operators and capital allocators.
NVIDIA Unveils the Vera Rubin NVL72: Full Specs and Platform Breakdown
Seven chips, five racks, 60 exaflops. Everything announced in NVIDIA's Vera Rubin platform at GTC 2026.
Mullet Mining: The Case for Running AI and Bitcoin Mining on the Same Site
There's a middle path between going all-in on AI and keeping the ASICs running. It's called mullet mining, and for the right sites, it's the most capital-efficient way into GPU data center infrastructure.
Evaluating Bitcoin Mining Sites for AI Training & AI Inference
Your mining site's characteristics determine whether it's better suited for AI training, inference, both, or neither. This five-question evaluation framework helps you figure out which workload fits your assets before procurement conversations start.
GPUaaS for Bitcoin Miners: How to Evaluate the Opportunity at Your Site
GPU-as-a-Service demand is real—but not every mining site qualifies. Here’s how to evaluate location, power reliability, cooling, and fiber for training vs inference.
Neoclouds Explained: The GPU Cloud Providers Powering AI
Roughly one-third of AI workloads run on neoclouds, not hyperscalers. Here's what neoclouds are, who the major providers are, and why Bitcoin miners should pay attention.
AI Inference vs Training: What's the Difference and Why It Matters
Every AI workload is either training or inference. The distinction drives infrastructure decisions—what hardware you need, where you locate it, and how the economics work.
