Insights on AI compute markets, GPU pricing, and platform updates
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AI compute is becoming a commodity. Its benchmark indices should be public goods — open, transparent, and free — just like every other mature market.
GPU prices can vary dramatically across providers for the same hardware. This guide explains why the spread exists, what drives the premium, and what it says about the AI compute market.
GPU utilization is the biggest controllable cost lever in AI infrastructure. Learn what utilization actually means, why most teams measure it wrong, and how idle GPU capacity can now be monetized in 2026.
H200 buy vs cloud comparison across utilization, fleet size, and infrastructure costs. See when owning H200 becomes cheaper than renting.
H200 price in 2026 across OEM hardware, cloud rentals, and total ownership cost. Compare H200 server pricing, $/hr cloud rates, and market spreads.
H100 vs H200 comparison across memory, bandwidth, pricing, and inference performance. See when upgrading to H200 makes sense in 2026.
A100 vs H100 comparison across cost, performance, FP8 support, and real AI workloads. See when H100 justifies the premium and when A100 still makes sense in 2026.
Colocation pricing for AI compute ranges from $80/kW/month wholesale to $300/kW/month in premium metro facilities. Here’s how colocation economics translate into real GPU cost per hour, what drives pricing variance, and where institutional AI operators can optimize infrastructure costs.
How fast do NVIDIA H100 GPUs lose value? This guide breaks down H100 depreciation rates, Blackwell’s impact on residual value, secondary market pricing, and how depreciation affects real AI infrastructure TCO in 2026.
A full breakdown of the 3-year total cost of owning 100 NVIDIA H100 GPUs, including hardware, power, colocation, networking, operations, depreciation, and utilization economics.
A detailed 2026 framework for deciding whether to buy or rent GPUs for AI infrastructure. Compare H100 ownership economics, reserved cloud pricing, utilization thresholds, and how capacity monetization changes the break-even point.
H100 GPU cost breakdown across OEM pricing, cloud rentals, power, colocation, and real-world GPU-hour economics. See what H100s actually cost in 2026.
A100 vs H100 vs H200 comparison across cost, performance, and real workloads. See which GPU makes sense for training, inference, and scale.