GPU Market Report — January 2026

Executive Summary

• Market overview: Blended GPU compute pricing remained broadly stable in January 2026, with an average month-over-month change of +0.0% across 38 tracked accelerator types.
• Biggest movers: Month-over-month comparison data is limited for this period.
• Spread: The training-to-inference pricing spread held stable at 8.1x.

Pricing Trends

Blended GPU compute pricing remained broadly stable in January 2026. Across 38 tracked accelerator types, the average month-over-month price change was +0.0%, reflecting a period of relative pricing stability.

The month was characterised by broadly consistent movement across GPU tiers. Training-class GPUs — the workhorses of AI model development — averaged $4.18/hr (+0.0% MoM), while inference-class GPUs — used for serving models in production — averaged $0.51/hr (+0.0% MoM).

Training GPUs

The H100 — still the most widely deployed training GPU — traded in a tight range at $6.71/hr (+0.0% MoM).

AMD MI300X at $3.39/hr (+0.0% MoM) continues to gain traction as a competitive alternative to NVIDIA's Hopper generation, available across 81 regions. The price differential between MI300X and H100 stands at $3.32/hr, or 50% — a significant gap that may drive further AMD adoption.

Inference GPUs

The inference tier showed more movement than training this month. Budget inference options like the T4 ($0.24/hr) remain the most cost-effective entry point for production AI deployment.

Training vs Inference Gap

The training-to-inference pricing ratio stands at 8.1x — stable compared to last month.

This ratio is a key structural indicator for the AI compute market. A widening spread suggests strong demand for frontier model training is outpacing inference deployment. A narrowing spread would signal inference demand growing relative to training.

Training GPUs averaged $4.18/hr (+0.0% MoM) while inference GPUs averaged $0.51/hr (+0.0% MoM). The gap remains elevated by historical standards, suggesting the market has not yet reached equilibrium on training compute pricing.

Regional Dynamics

Europe offers the lowest average blended GPU pricing at $1.98/hr, while Middle East is the most expensive at $4.34/hr — a 119% premium.

This regional spread reflects differences in data centre maturity, energy costs, and provider competition. For training workloads where latency is not critical, deploying in the cheapest region can save 119% on compute costs. For inference serving local users, the cost premium of deploying in-region is typically offset by latency improvements.

Detailed regional analysis and comparisons →

Hardware Transition Watch

Blackwell Generation

Blackwell-generation GPUs are now available across 132 region instances — a significant expansion from last month.

The H100 at $6.71/hr (+0.0% MoM) is in a transitional holding pattern. Pricing is neither collapsing under Blackwell pressure nor showing exceptional strength. This is consistent with a gradual fleet transition rather than a sharp displacement event.

Implications

For GPU investors: Stable pricing supports predictable returns for existing deployments. Model scenarios with the GPU ROI Calculator →

For cloud buyers: Europe continues to offer the best value for cost-sensitive workloads. The 8.1x training-to-inference spread means organisations can still deploy inference at a fraction of training costs. Compare regional pricing →

For semiconductor analysts: GPU pricing trends are stable this month — neither confirming bullish nor bearish semiconductor theses. The Blackwell transition is proceeding gradually. AMD MI300X pricing (+0.0% MoM) suggests growing competitive traction. View all GPU profiles →