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 H200, H100, RTX Pro 6000 Blackwell, A100 & L4 · per GPU pricingNVIDIA H200 SXM
Hopper · 141 GB HBM3e, the largest-memory Hopper for big-model training
NVIDIA H100 SXM
Hopper · flagship for 70B+ inference and fine-tuning
NVIDIA RTX Pro 6000 Blackwell
Blackwell · 96 GB GDDR7, the biggest VRAM on the platform
NVIDIA A100 80GB
Ampere · proven for training & inference
NVIDIA A100 40GB
Ampere · great cost-per-token
NVIDIA A30
Ampere · budget Ampere · light inference & training
NVIDIA L4
Ada · low-cost inference & notebooks
NVIDIA H200 SXM
Hopper · 141 GB HBM3e, the largest-memory Hopper for big-model training
NVIDIA H100 SXM
Hopper · flagship for 70B+ inference and fine-tuning
NVIDIA RTX Pro 6000 Blackwell
Blackwell · 96 GB GDDR7, the biggest VRAM on the platform
NVIDIA A100 80GB
Ampere · proven for training & inference
NVIDIA A100 40GB
Ampere · great cost-per-token
NVIDIA A30
Ampere · budget Ampere · light inference & training
NVIDIA L4
Ada · low-cost inference & notebooks
On-demand instances are billed per minute. Pause and resume any time. Per GPU per hour. Customers outside India are billed in USD. Switch at the top right to see our India rates.
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.
Trusted by 3,000+ researchers and 50+ startups worldwide
Need volume or committed pricing?
Reserved capacity, multi-GPU clusters and custom quotes for teams scaling beyond on-demand. Talk to us about a plan that fits your workload.
What builders say
“I published a paper with the results from exps i did on your gpus when @googlecloud turned me down. Thanks a lot for the great product/service. Not to mention super competitive prices...”
“After waiting for 3 days on AWS to provide capacity so I can continue on @fastdotai course, I switched to @jarvislabsai and it literally took me less than 5 min. Good stuff @vishnuvig”
“JarvisLabs.ai has always been my go to for renting GPU for personal projects/Kaggle competitions. Trust me, it made my life easier. Kudos Vishnu for your dedication, and good luck for the future!”
“Tried out @jarvislabsai yesterday night for creating a nano python code interpreter using @MistralAI 7B Instruct model. @jarvislabsai is probably the cheapest and fastest way to get started with inference and fine-tuning and it's from India 🇮🇳. That's a cherry on top for me.”
