Jarvislabs AI Cloud (GPU VMs, Instant Clusters, Serverless & Model APIs)
GPU / AI cloud
Provided by Jarvislabs
Offering overview
Per-minute, no-commitment billing is the hook: launch a root-access GPU VM, work in JupyterLab, VS Code, or over SSH, and pause it to pay only for storage. Templates for PyTorch, ComfyUI, and other stacks cut setup time, and a CLI plus Python SDK support automation. Currently all GPUs are hosted in India, with VPC networking available in those regions and additional geographies promised. The lineup runs from NVIDIA A30 and L4 through A100 40/80 GB, RTX Pro 6000 Blackwell, H100 SXM, H200 SXM, and B200. Instant Clusters can be spun up from the dashboard, while reserved InfiniBand clusters of 128 to 1,024+ GPUs go through sales. For deployment, a serverless tier lets you bring vLLM, SGLang, or Ollama and scale workers to zero, paying per worker-minute; managed endpoints and token-priced Model APIs cover teams that prefer not to run their own serving stack. Independent researchers, startups, and Indian enterprises are the natural audience. On-demand rates start at $0.41 per hour for an A30, $0.89 for an A100 40 GB, $3.49 for an H100 SXM, and $4.59 for an H200; spot pricing and commitment discounts lower these further.
- Management
- Not stated
- Infrastructure
- Not stated
- Pricing model
- Not stated
- Support
- Not stated
- SLA
- Not stated
- Best for
- Model Training, Fine-Tuning, Model Inference, Research And Experimentation, AI Applications
Technical specifications
- Containers
- Unknown
- Kubernetes
- Unknown
- Root access
- Unknown
- API access
- Unknown
- Autoscaling
- Unknown
- Persistent processes
- Unknown
AI capabilities
- Model serving
- Not stated
- AI frameworks
- Not stated
- Inference endpoints
- Unknown
- Fine-tuning
- Unknown
- Vector database
- Unknown
- Model catalog
- Unknown
- Monitoring
- Not stated
- Evaluation
- Not stated
Security & compliance
No controls are stated.
Geography
Provider headquarters are separate from offering infrastructure and availability.
Infrastructure regions
India, Asia
Data-residency jurisdictions
Not stated
Service availability
Not stated
Support coverage
Not stated
Available plans
Pricing can change. Promotional prices are shown separately from standard prices.
| Plan | Price | Compute | Storage | GPU | Price checked | Actions |
|---|---|---|---|---|---|---|
| Jarvislabs AI Cloud (GPU VMs, Instant Clusters, Serverless & Model APIs)Not stated | $0.41Usage Only | Unknown — RAM | Unknown | No | 7 October 2026 |
Questions & answers
- Where are Jarvislabs GPUs hosted?
- All GPUs are currently hosted in India, with VPC networking available in those regions.
- How can users access and automate GPU VMs?
- GPU VMs provide root access and support JupyterLab, VS Code and SSH. A CLI and Python SDK support automation, and pre-built templates include PyTorch and ComfyUI.
- What happens to billing when a VM is paused?
- VMs use per-minute, no-commitment billing. When a VM is paused, users pay only for storage.
- What model deployment options does Jarvislabs offer?
- The serverless tier supports vLLM, SGLang and Ollama, with workers that can scale to zero and billing per worker-minute. Managed endpoints and token-priced Model APIs are also offered.
- How are GPU clusters provisioned?
- Instant Clusters can be launched from the dashboard. Reserved InfiniBand clusters of 128 to 1,024 or more GPUs are arranged through sales.
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Unverified
- Primary source
- jarvislabs.ai
- Sources cited
- 2
- Last reviewed
- 7 October 2026
- Last updated
- 18 October 2026