Manage spot GPU instances across AWS, GCP, Azure, Lambda, CoreWeave, RunPod, and Vast.ai — without the reliability risk.
Join engineering teams already saving on GPU compute. No spam.
⬇ Download Source CodeYour team knows spot instances exist. They save serious money. But preemption, fragmented pricing across providers, and zero failover tooling make them a non-starter for anything beyond throwaway experiments.
We monitor spot pricing across 7+ providers, alert on cost-saving opportunities, and orchestrate automatic failover — so your workloads keep running at a fraction of the cost.
Real-time spot vs. on-demand pricing across every major GPU provider. One unified dashboard, not seven separate consoles.
Get notified when spot prices drop below your threshold. Receive automated recommendations on when and where to launch workloads.
When a spot instance gets reclaimed, RoofRun migrates your workload to another provider or region automatically. Sub-30-second recovery.
Automated checkpointing for long-running training jobs. If preempted, resume from the last checkpoint — no lost compute, no wasted spend.
Track exactly how much you're saving per workload, per team, per project. Forecast GPU spend with historical price trend data.
SOC 2 on the roadmap. Your cloud credentials are encrypted at rest. We never access your data — only orchestrate your infrastructure.
RoofRun is purpose-built for teams spending $50K-$500K/month on GPU cloud. Here's where the savings are biggest.
Run LLM fine-tuning and model training on spot instances with automated checkpoints every N steps. Preemption becomes a minor inconvenience, not a disaster.
Process large inference batches across the cheapest available GPUs. Automatic load balancing across providers means maximum throughput at minimum cost.
Give every ML engineer access to GPUs for experimentation without blowing the budget. Spot instances are perfect for interruptible development work.
Video encoding, image generation, embedding computation — any async GPU workload that doesn't need instant results. Queue-based, cost-optimized.
RoofRun integrates with every major GPU cloud provider. Monitor, compare, and orchestrate across all of them from a single control plane.
Start saving on GPU costs today. All plans include real-time price monitoring across all supported providers.
For small teams getting started
Billed monthly
For growing ML teams
Billed monthly
For large-scale operations
Billed monthly
One-time professional analysis of your GPU cloud spending. Detailed savings report, migration plan, and ROI projections across all providers.
Join engineering teams using RoofRun to cut GPU cloud costs by 60-80% — without sacrificing reliability.