Week 16 · 2026

Cheapest H100 2026: GPU Cost Pulse — Week 16 (April 14–19)

📅 April 14–19, 2026 🏢 29 providers tracked 📊 368 pricing records 📡 Data: GridStackHub.ai

According to GridStackHub.ai data for the week of April 14–19, 2026, the cheapest H100 is $1.35/hr on RunPod (spot, community region) — while Vast.ai recorded the largest single-week average price drop in our 58-provider network this year, cutting rates 63.7% across 45 pricing records. This week's pulse covers 29 active providers and 368 GPU pricing records tracked across on-demand, spot, and reserved markets.

💰Cheapest GPUs This Week

The headline numbers across the four most-tracked GPU classes:

GPUCheapest ProviderPrice/hrPricing Type
H100 80GBRunPod$1.35Spot (community)
A100 80GBVultr$0.125On-demand (global)
H200RunPod (us-east-1)$0.50On-demand
L40SVast.ai$0.3846Spot

A100 on Vultr at $0.125/hr is the most striking number in the table. On-demand, globally available, no commitment required. For teams running smaller inference workloads or fine-tuning jobs that don't need H100-class performance, this is a significant undercut versus the $0.78–$1.79/hr you'd pay elsewhere.

H200 at $0.50/hr on RunPod is the other standout. H200 carries 141GB HBM3e memory and 4.8TB/s bandwidth — it's the go-to for 70B+ parameter models. Finding it at $0.50/hr on-demand is the kind of pricing anomaly that closes fast. Check availability on the GridStackHub calculator before it disappears.

📈Big Movers This Week

1. Vast.ai
−63.7% average across all pricing records
Average rate dropped from $0.7528 to $0.2731 across 45 pricing records. That's not a rounding error — that's a strategic reset. Vast.ai operates a marketplace model where individual GPU owners set prices, so moves this large typically signal a surge of new supply (new hardware or data center capacity coming online) or a deliberate competitive response to marketplace pressure. Either way: if your workload tolerates spot interruption, Vast.ai is now the cheapest compute environment in our network by a significant margin.
2. L40S on Vast.ai
−8.82%
Dropped from $0.4218 to $0.3846/hr. The L40S has become the go-to for cost-efficient inference on 30B-class models — GDDR6 memory is cheaper than HBM, and for single-GPU inference jobs it often beats H100 on cost-per-token. A sub-$0.40/hr L40S accelerates that math considerably.
3. A10G on Vast.ai
−0.18%
Minimal move ($0.1810 → $0.1806). Worth noting only because it confirms Vast.ai's repricing was broad, not limited to premium GPUs.

🔮Forecast Flash

Our 30-day Holt's Double Exponential Smoothing model (high confidence) points in two directions:

H100
−18.65%
Recommendation: Wait
New supply is outpacing demand. Locking in today means paying more than you will in 30 days. Current avg: $16.20/hr.
A100
+26.43%
Recommendation: Secure Now
A100 scarcity is tightening — older inventory retiring, enterprise demand high. Current avg: $9.30/hr.

Counterintuitive? Yes. But the data is what it is. If you're running A100 workloads at scale, this is the window.

Full 30/60/90-day forecasts with confidence intervals available for Pro+ subscribers.

Stack Network Context: Energy Costs Matter

Virginia remains the gold standard for data center cost efficiency in our Stack Network Index, scoring 92/100. The practical implication: running an identical H100 cluster in California costs approximately $380,000/year more in electricity than the same cluster in Virginia. At scale, that's not a provider pricing decision — it's a geography decision.

This week's Vast.ai repricing likely reflects new eastern US capacity additions. When large data center operators bring new supply online in low-cost energy markets, the pricing signal hits spot markets first. That's exactly what the Vast.ai move looks like.

If you're planning infrastructure at the cluster level, the State-by-State Data Center Cost Index on our /research page gives you the full energy cost picture before you commit.

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