VaultLayer automatically finds the cheapest GPU across all major clouds and guarantees your job completes, even when providers terminate your instance.
Compare AWS, GCP, and Azure across all three pricing tiers against VaultLayer. Toggle between hourly rate, a typical 24-hour training job, and monthly cost (20 jobs/month).
Standard cloud billing unit. All prices are per individual GPU per hour.
Reserved
1-year commitment upfront. 30-70% off On-Demand. You pay whether you use it or not. VaultLayer matches or beats reserved pricing on most GPUs - with zero contract and zero idle waste.
GPU
AWS Reserved Instances
Google Cloud Committed Use
Azure Reserved VMs
VaultLayer No commitment needed
VaultLayer vs AWS Reserved on A100 80GB (most popular enterprise GPU)
On-Demand
No commitment. Pay only for what you use. The default choice for most teams and where the biggest hidden cost lives.
GPU
AWS EC2 On-Demand
Google Cloud Compute Engine
Azure Pay-as-you-go
VaultLayer Best available - no lock-in
VaultLayer vs AWS On-Demand on H100 80GB (most in-demand GPU for LLM training)
Spot
60-90% off On-Demand. Cheapest listed price but providers can reclaim the instance with as little as 30 seconds notice. No completion guarantee.
One interruption can cost more than On-Demand
GPU
AWS Spot 2-min notice
GCP Spot 30-sec notice
Azure Spot 30-sec notice
VaultLayer Near-Spot price - guaranteed finish
Spot prices are approximate and vary by region and availability. Updated March 2026.
The Real Cost of Spot
Spot looks cheapest. One interruption proves otherwise.
AWS, GCP, and Azure can terminate your Spot instance with as little as 30 seconds notice. Without automatic checkpointing, one interruption wipes out hours of work and you restart from scratch.
Spot alone
You get the low listed rate but carry all the risk yourself. No checkpointing, no recovery, no SLA.
40-hour H100 fine-tune, interrupted at hour 32
Hours of compute billed32 hrs x $1.17/hr = $37.44
Progress checkpointedNone
Training hours lost32 hours
Cost to restart from scratch40 hrs x $1.17 = $46.80
Total actual cost$84.24
Effective rate: $2.11/hr - nearly 2x the advertised Spot price. This run cost more than AWS On-Demand would have.
VaultLayer
Same job. Same interruption. VaultLayer checkpoints automatically every few minutes and migrates to a new node with zero progress lost.
Same scenario - interrupted at hour 32
Hours of compute billed32 hrs x $2.87/hr = $91.84
Last checkpoint2 minutes ago (auto)
Training hours lost2 minutes
Recovery timeLess than 10 minutes
Total actual cost$114.80
Effective rate: $2.87/hr - exactly as advertised, every single time. The job finishes. No restarts. No surprises.
ROI Calculator
See the real dollar difference
Enter your workload. We show what you pay on each option vs what you pay with VaultLayer.
24 hrs
8 runs
AWS On-Demand
AWS Reserved
AWS Spot *
VaultLayer
How It Works
Zero code changes.
VaultLayer wraps your existing training command. Your code stays the same. Your bill changes.
Install
One pip install. Works with any Python training framework - PyTorch, JAX, Keras, Hugging Face. No changes to your model code.
pip install vaultlayer
Run
Prefix your command with vaultlayer run. VaultLayer finds the cheapest available GPU across all providers and starts your job instantly.
vaultlayer run python train.py
Save
Your job finishes regardless of interruptions. At the end you see exactly how much you saved compared to AWS On-Demand.
Saved $1,240 vs AWS On-Demand
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pip install vaultlayer vaultlayer run python train.py