Cloud built for AI teams.
Per-minute billing, no commitments. Boot a Template in 1.8 seconds or a VM in under 90s. Scale to 8 GPUs per instance.
GPUs
NVIDIA H100, A100 & L4 · per GPU pricingH100 SXM
Hopper · flagship for 70B+ inference and fine-tuning
A100 80GB
Ampere · proven for training & inference
A100 40GB
Ampere · great cost-per-token
L4
Ada · low-cost inference & notebooks
H100 SXM
Hopper · flagship for 70B+ inference and fine-tuning
A100 80GB
Ampere · proven for training & inference
A100 40GB
Ampere · great cost-per-token
L4
Ada · low-cost inference & notebooks
On-demand instances are billed per minute. Pause and resume any time. All prices in USD per GPU per hour (₹ shown automatically for India).
CPU VMs
General-purpose compute · on-demand only2 vCPU · 8 GB
General-purpose VM · 1 : 4 ratio
4 vCPU · 16 GB
General-purpose VM · 1 : 4 ratio
8 vCPU · 32 GB
General-purpose VM · 1 : 4 ratio
16 vCPU · 64 GB
General-purpose VM · 1 : 4 ratio
32 vCPU · 128 GB
General-purpose VM · 1 : 4 ratio
2 vCPU · 8 GB RAM
General-purpose VM
4 vCPU · 16 GB RAM
General-purpose VM
8 vCPU · 32 GB RAM
General-purpose VM
16 vCPU · 64 GB RAM
General-purpose VM
32 vCPU · 128 GB RAM
General-purpose VM
CPU VMs are priced as $0.012 / vCPU + $0.0032 / GB RAM per hour. Available in the India (Noida) region.
Not sure which one?
Templates and VMs share the same GPUs and the same pricing — the difference is what's running on top.
Managed containers
Pre-built JupyterLab, VS Code, API endpoint, or SSH-only stacks. We manage the OS, drivers, CUDA, and the container — you bring code.
- Boot in 1.8 seconds
- Persistent storage across stop / start
- One-click expose API or notebook URL
- Up to 8 GPUs per template
Pick this when you want to start training or running notebooks immediately.
Root access & full control
A clean VM with full root and your own kernel or Docker stack. Bring orchestration, custom drivers, daemons, your own CI runners.
- Root SSH from minute one
- Bring your own Docker / Kubernetes
- Custom kernels and drivers
- Up to 8 GPUs per VM, multi-region
Pick this when you want to full OS control or running infra Templates can't host.
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