GPU market news curated for ITAD operators and IT professionals.
If you’re modeling H100s like traditional server hardware, you’re probably overestimating residual value. I call it the “Digital Lettuce” problem: the asset looks great on Day 1 — then it wilts fast. Why H100 depreciation is accelerating New GPU generations and platform refreshes compress resale windows Demand shifts quickly — workloads, power/cooling constraints, export rules,…
ESG reporting is becoming more than just a box to tick. It’s a core metric that influences investor confidence and corporate reputation. For companies dealing with high-performance computing, managing GPU end-of-life is a critical piece of that puzzle. GPU recycling isn’t just about clearing out old server racks. It’s about turning decommissioned hardware into verifiable…
The AI boom isn’t just a software revolution — it’s a massive hardware cycle that is fundamentally changing how we manage infrastructure. As businesses scale up to meet the demands of generative AI, the lifecycle of GPU-based servers and high-density networking gear is moving faster than ever. This brings a new set of challenges for…
The 5-year hardware lifecycle is dead for AI infrastructure. In traditional enterprise IT, 60 months was the gold standard for ROI. With GPU clusters, that has changed. Rapid innovation cycles — moving from H100s to Blackwell architectures — have compressed the refresh cycle to just 18–36 months. Performance isn’t the only factor. Power efficiency and…