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Insights on AI compute markets, GPU pricing, and platform updates
GPU ROI in 2026: Payback Period, IRR, and NPV for AI Infrastructure
How institutional buyers model the return on owning AI compute. Payback period, IRR, and NPV for a 100 H100 cluster in 2026, with current pricing, formulas, and sensitivity tables.
Financing AI Compute in 2026: Buy, Lease, Loan, or Rent
A 100 H100 cluster runs $3.3M to $4.2M fully built. Compare the five GPU financing paths in 2026 and the formula that decides which one wins.
The Cheapest GPU Cloud Providers in 2026: Where AI Compute Is Actually Lowest
Looking for the cheapest GPU cloud providers in 2026? This guide compares H100, A100, and H200 pricing across hyperscalers, specialty GPU clouds, long-tail providers, and decentralized networks — including spot, reserved, and on-demand rates.
Cloud GPU Pricing in 2026: What You Actually Pay Across All Major Providers
Cloud GPU pricing varies widely across providers. This guide breaks down H100, A100, H200, reserved pricing, hidden costs, and what buyers actually pay in 2026.
Why GPU Prices Differ 30%+ for the Same Hardware (and What It Says About the 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: The Most Important Metric in AI Infrastructure (and Why Most Teams Measure It Wrong)
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: When Does Owning H200 Make Financial Sense? (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: OEM, Cloud, and Total System Cost
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: Is the Upgrade Worth the 25% Premium? (2026 Decision Guide)
H100 vs H200 comparison across memory, bandwidth, pricing, and inference performance. See when upgrading to H200 makes sense in 2026.
A100 vs H100: Should You Pay for Hopper or Stick with Ampere? (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 Economics for AI Compute: From $/kW/Month to GPU Cost per Hour
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.
H100 Depreciation: How Fast NVIDIA H100s Lose Value (and What It Means for TCO)
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.
The 3-Year TCO of Owning 100 H100 GPUs: A Full Capital Allocation Breakdown
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.
Buy vs Rent GPUs: The 2026 Decision Framework for AI Infrastructure
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 in 2026: What You Actually Pay (Beyond the Sticker Price)
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: Complete Cost & Performance Comparison for AI Workloads (2026)
A100 vs H100 vs H200 comparison across cost, performance, and real workloads. See which GPU makes sense for training, inference, and scale.
The Case for Open Price Indices in AI Compute
AI compute is becoming a commodity. Its benchmark indices should be public goods — open, transparent, and free — just like every other mature market.
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