Built for Your Biggest Workloads
Scale your AI, ML, and HPC projects with customizable, on-demand clusters designed for continuous performance.
Start Building Your Cluster
Why Vast Clusters
Vast.ai Clusters let you deploy scalable, high-performance compute for your AI, ML, and HPC projects. Our dedicated environments ensure reliable throughput and flexible resource allocations — perfect for continuous or large-scale workloads.
Scalable Performance
Seamlessly scale from tens to hundreds of GPUs or CPUs.
Trusted & Secure
Enterprise-grade security, SLAs, and round-the-clock support.
Speed to Market
Rapid deployment, so you can spin up production-grade clusters in hours, not weeks.
Cost-Efficient Clusters
Pay only for what you need with transparent pricing — no hidden fees.
Clusters Are Best For
Ongoing Large-Scale AI Workloads
You're training large or complex models (NLP, computer vision, recommendation engines) on a frequent basis. Multiple data scientists or teams depend on consistent GPU/CPU resources.
High-Performance Computing Use Cases
Scientific research, simulations, and big-data analytics that demand multi-node architectures. You need guaranteed performance and specialized cluster configurations.
Enterprises with Sustained Demands
You require stable capacity, enterprise SLAs, and robust support for mission-critical workloads. You have a clear budget for HPC/AI infrastructure and need flexible pricing that scales with usage.
Benefits of Vast.ai Clusters
Flexible Hardware
Get exactly the CPU/GPU mix you need, plus custom networking and storage configurations. Scale up or down based on project phases — no wasted resources.
Transparent Billing
Real-time cost tracking to align spend with usage and prevent overruns. Detailed resource utilization dashboards for performance analysis.
Full Integration & Toolchain Support
Seamlessly integrate popular ML frameworks (TensorFlow, PyTorch, etc.) and HPC libraries. Compatible with container-based workflows (Docker, Kubernetes) for easy deployment.
Expert Guidance & SLA-Backed Support
24/7 assistance from HPC/AI specialists who can help optimize cluster performance. Enterprise-grade SLAs ensure peace of mind for mission-critical projects.
See Our On-Demand GPUs If
Not every workload needs a dedicated cluster. On-demand GPU instances may be a better fit for lighter or less predictable usage patterns.
You Only Run Small or One-Off GPU Jobs
Occasional model training or inference tasks that a single GPU instance can handle; bootstrapped or hobby projects with minimal, sporadic compute needs.
You're Experimental or Short-Term
If you only need quick, ad-hoc bursts of compute, standard on-demand instances might be more cost-effective.
You Don't Need Guaranteed Capacity
If you're happy hopping between spot instances or partial availability, a dedicated cluster may be overkill.