Executive Summary
- Market overview: Blended GPU compute pricing increased in April 2026, with an average month-over-month change of +5.4% across 39 tracked accelerator types. Training GPUs moved -0.4% while inference GPUs moved +0.5%.
- Biggest movers: Largest price declines: V100 (-14.4% MoM). Largest increase: TRAINIUM (+9.3% MoM). H100 pricing softened as Blackwell supply continues to expand.
- Spread: The training-to-inference pricing spread held stable at 8.2x.
Training GPU Pricing — April 2026
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Pricing Trends
Blended GPU compute pricing increased in April 2026. Across 39 tracked accelerator types, the average month-over-month price change was +5.4%, reflecting sustained demand for AI compute capacity.
The month was characterised by broadly consistent movement across GPU tiers. Training-class GPUs — the workhorses of AI model development — averaged $4.29/hr (-0.4% MoM), while inference-class GPUs — used for serving models in production — averaged $0.52/hr (+0.5% MoM).
Training GPUs
| GPU | April Price | MoM Change | Regions |
|---|---|---|---|
| GB200 | $15.13/hr | +1.2% | 120 |
| H200 | $10.14/hr | -0.3% | 170 |
| B200 | $7.75/hr | +5.5% | 18 |
| H100 | $6.42/hr | -4.5% | 168 |
| MI300X | $3.44/hr | +1.6% | 99 |
| A100 80GB | $2.44/hr | +1.2% | 168 |
| A100 40GB | $1.76/hr | +0.4% | 148 |
The H100 — still the most widely deployed training GPU — saw meaningful price erosion at $6.42/hr (-4.5% MoM). This decline is consistent with the ongoing Blackwell transition, as B200 availability expands across 18 regions.
AMD MI300X at $3.44/hr (+1.6% MoM) continues to gain traction as a competitive alternative to NVIDIA's Hopper generation, available across 99 regions. The price differential between MI300X and H100 stands at $2.98/hr, or 46% — narrowing.
Inference GPUs
Inference GPU Pricing — April 2026
| GPU | April Price | MoM Change | Regions |
|---|---|---|---|
| L40S | $1.33/hr | +0.8% | 69 |
| L4 | $0.47/hr | -7.9% | 147 |
| A10G | $0.73/hr | +3.3% | 123 |
| A10 | $0.93/hr | +1.2% | 193 |
| T4 | $0.25/hr | +2.9% | 179 |
The inference tier showed more movement than training this month. Budget inference options like the T4 ($0.25/hr) remain the most cost-effective entry point for production AI deployment.
Training vs Inference Gap
The training-to-inference pricing ratio stands at 8.2x — 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 $4.29/hr (-0.4% MoM) while inference GPUs averaged $0.52/hr (+0.5% MoM). The gap remains elevated by historical standards, suggesting the market has not yet reached equilibrium on training compute pricing.
Regional Dynamics
Regional GPU Pricing — April 2026
| Region | Avg Blended Price | GPUs Available |
|---|---|---|
| Asia Pacific | $2.23/hr | 31 |
| Europe | $2.23/hr | 34 |
| North America | $2.31/hr | 38 |
| Oceania | $3.09/hr | 20 |
| South America | $3.35/hr | 19 |
| Africa | $3.82/hr | 7 |
| Middle East | $4.09/hr | 13 |
Asia Pacific offers the lowest average blended GPU pricing at $2.23/hr, while Middle East is the most expensive at $4.09/hr — a 83% 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 83% 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 →
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Hardware Transition Watch
Blackwell Generation
| GPU | April Price | MoM Change | Regions |
|---|---|---|---|
| B200 | $7.75/hr | +5.5% | 18 |
| B300 | $10.31/hr | +0.0% | 4 |
| GB200 | $15.13/hr | +1.2% | 120 |
| GB300 | $12.32/hr | +0.0% | 14 |
Blackwell-generation GPUs are now available across 156 region instances — a significant expansion from last month.
The H100 at $6.42/hr (-4.5% MoM) is experiencing clear generational price pressure. This is the expected trajectory as Blackwell supply scales — H100 pricing will likely continue to soften, though the pace depends on how quickly cloud providers transition their fleets. For semiconductor analysts, this pricing trajectory is a leading indicator for NVIDIA's Hopper-generation revenue mix.
Implications
For GPU investors: Rising rental rates are improving returns, making this a favourable window for GPU acquisition. Model scenarios with the GPU ROI Calculator →
For cloud buyers: Asia Pacific continues to offer the best value for cost-sensitive workloads. The 8.2x training-to-inference spread means organisations can still deploy inference at a fraction of training costs. Compare regional pricing →
For semiconductor analysts: H100 pricing erosion (-4.5% MoM) is a clear signal that the Blackwell transition is impacting Hopper-generation demand. This should be reflected in NVIDIA's revenue mix commentary in upcoming earnings. AMD MI300X pricing (+1.6% MoM) suggests growing competitive traction. View all GPU profiles →