Market Telemetry2026-09-158 min read
Cloud GPU Pricing Index 2026: The Definitive Infrastructure Directory
Comprehensive market benchmark evaluating spot rates, reserved tiers, and true cost-per-FLOP across verified enterprise and neo-cloud providers.
Table of Contents
Market OverviewSpot vs Reserved MathHyperscaler PremiumCost Per FLOP Analysis
Live Cloud GPU Pricing Matrix
Real-time spot and reserved rates across all tracked providers.
| Provider | GPU & VRAM | Interconnect | Spot Rate | On-Demand | Monthly | Status | Action | |
|---|---|---|---|---|---|---|---|---|
Community | PCIe 4.0 (64 GB/s) | $0.34 / hr | $0.85 / hr | $208 / mo | Instant | |||
Bare Metal | PCIe 4.0 (64 GB/s) | $0.69 / hr | $1.73 / hr | $422 / mo | Instant | |||
Community | PCIe 4.0 (64 GB/s) | $0.69 / hr | $1.73 / hr | $422 / mo | Instant | |||
Cloud | PCIe 4.0 (64 GB/s) | $0.74 / hr | $1.85 / hr | $453 / mo | Instant | |||
Dedicated | PCIe 4.0 (64 GB/s) | $0.89 / hr | $2.23 / hr | $545 / mo | Instant | |||
Cloud | PCIe 4.0 (64 GB/s) | $1.09 / hr | $2.73 / hr | $667 / mo | Instant | |||
Bare Metal | PCIe 4.0 (64 GB/s) | $1.19 / hr | $2.97 / hr | $728 / mo | Instant | |||
Dedicated | PCIe 4.0 (64 GB/s) | $1.49 / hr | $3.73 / hr | $912 / mo | Instant | |||
Dedicated | N/A | $1.59 / hr | $3.98 / hr | $973 / mo | Instant | |||
Community | NVLink 4.0 (900 GB/s) | $1.89 / hr | $4.72 / hr | $1,157 / mo | Instant | |||
Bare Metal | NVLink 4.0 (900 GB/s) | $2.29 / hr | $5.73 / hr | $1,401 / mo | Instant | |||
Community | NVLink 4.0 (900 GB/s) | $2.79 / hr | $6.98 / hr | $1,707 / mo | Instant | |||
Dedicated | NVLink 4.0 (900 GB/s) | $2.99 / hr | $7.48 / hr | $1,830 / mo | Instant | |||
Bare Metal | NVLink 4.0 (900 GB/s) | $3.19 / hr | $7.98 / hr | $1,952 / mo | Instant | |||
Cloud | NVLink 4.0 (900 GB/s) | $3.49 / hr | $8.73 / hr | $2,136 / mo | Instant | |||
Community | NVLink 5.0 (1.8 TB/s) | $3.99 / hr | $9.98 / hr | $2,442 / mo | Instant | |||
Dedicated | NVLink 4.0 (900 GB/s) | $3.99 / hr | $9.98 / hr | $2,442 / mo | Instant | |||
Cloud | NVLink 4.0 (900 GB/s) | $4.31 / hr | $10.77 / hr | $2,638 / mo | Instant | |||
Bare Metal | NVLink 5.0 (1.8 TB/s) | $4.49 / hr | $11.23 / hr | $2,748 / mo | Instant | |||
Dedicated | NVLink 5.0 (1.8 TB/s) | $5.49 / hr | $13.73 / hr | $3,360 / mo | Instant | |||
Cloud | NVLink 5.0 (1.8 TB/s) | $5.99 / hr | $14.98 / hr | $3,666 / mo | Instant |
Data Freshness: Public Cloud APIs & Market Scraping | Refreshed Daily (UTC)|Benchmark Baseline: Ubuntu 24.04, CUDA 12.4, vLLM v0.6.x, PagedAttention v2, FlashAttention-3
Market Overview
The cloud GPU market in 2026 has bifurcated into two distinct tiers: hyperscalers (AWS, GCP, Azure) charging $6-8/hr for H100 access with enterprise SLAs, and specialist neo-clouds (Spheron, RunPod, Lambda Labs, Vast.ai) offering the same hardware at $1.89-$3.49/hr with varying infrastructure guarantees. The 130-260% hyperscaler premium buys VPC integration, IAM authentication, and compliance certifications — not better GPU performance. For teams without strict regulatory requirements, neo-clouds deliver identical FP8 TFLOPS at 55-73% lower cost.
Spot vs Reserved Math
Every cloud provider offers two pricing tiers: spot (variable, preemption risk) and reserved (fixed, committed). The math is simple:
Monthly Cost (Spot) = hourly_spot × 720 hours
Monthly Cost (Reserved) = hourly_spot × 0.85 × 720 hours
The 0.85 multiplier reflects the standard ~15% discount for 1-month commitments. Break-even occurs at 320 hours/month for H100 — if you run 24/7 (720 hours), reserved saves $800+/month per GPU. For intermittent workloads (<200 hours/month), spot pricing is preferred.
Cost Per FLOP Analysis
The true metric is cost per PetaFLOP-hour, not cost per GPU-hour. H100 at $1.89/hr delivers 1,979 FP8 TFLOPS = $0.96/PFLOP-hr. A100 at $1.59/hr delivers 624 FP8 TFLOPS = $2.55/PFLOP-hr. B200 at $5.99/hr delivers 2,250 FP8 TFLOPS = $2.66/PFLOP-hr. The H100 remains the cost-efficiency king for FP8 workloads. The B200's advantage emerges at FP4 (4,500 TFLOPS) where cost/PFLOP drops to $1.33 — but FP4 support is limited to Blackwell-native frameworks.
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OpenGPU Radar Systems Engineering Team
Independent compute telemetry and infrastructure analysis. Not affiliated with NVIDIA, cloud providers, or hardware vendors.