Jarvislabs
6/10India-based GPU cloud that rents NVIDIA GPU instances, VMs and clusters by the second and offers serverless and managed endpoints for AI model inference.
Data last updated November 2026 · Our methodology
Overview
Jarvislabs is a GPU cloud built in Coimbatore, India, by founder Vishnu Subramanian. It rents NVIDIA hardware for AI training and inference: H200, H100, RTX Pro 6000 Blackwell, A100, A30 and L4. You can launch template-based GPU containers that come with JupyterLab, VS Code or SSH access, full VMs with root and Docker, or InfiniBand-connected H200 clusters. A Token Factory API, Managed Endpoints and serverless workers running vLLM, SGLang or Ollama cover model serving. Supporting services include persistent disks, shared filesystems, S3-compatible object storage, VPC private networking, security groups and reserved IPs. A jl CLI and Python SDK automate everything and also install skills for coding agents. The product suits individual ML engineers, researchers, universities and AI startups, especially in India, where billing is available in INR. Customers it names include Zoho, upGrad and Hugging Face. Pricing is prepaid credit with no subscription and a $25 minimum top-up. On-demand GPUs run from $0.41 per hour (A30) to $4.59 per hour (H200), and spot rates are up to about 56 percent lower. Storage costs $0.10 per GB-month. Savings plans and reserved clusters of 25 or more GPUs are quoted by sales. The main limitation is enterprise readiness. Its site lists no compliance certifications and no published uptime SLA. Regions are concentrated in India, with a Finland location reported by third parties. The GPU catalog is also smaller than at larger marketplaces such as Runpod or Vast.ai.
Our Rating
AI Software6.2/10
Hosting & Infrastructure5.9/10
Who Jarvislabs is best for
Best software for DevelopersGood fit
It is built for ML engineers, with one-click templates, SSH, JupyterLab, a CLI and a Python SDK.
Per-second prepaid billing with no commitment and spot rates suit AI startups like the named customers Smallest AI and ZYNG AI.
It runs a university program, and coverage names Carnegie Mellon University and upGrad as users.
Less suited
Serverless and managed endpoints give SaaS teams OpenAI-compatible model hosting, though serverless is limited to vLLM, SGLang and Ollama.
It has no published compliance certifications or uptime SLA, and the founder said the target is companies that are not in the Fortune 500.
Pros & Cons
Pros
- Published on-demand GPU rates are competitive, for example $1.49/hr for an A100 80GB and $3.49/hr for an H100 SXM, and spot rates run up to about 56% lower.
- Per-second billing and a pause feature mean paused instances cost only the storage fee, which helps intermittent experimentation.
- Templates boot quickly, about 1.8 seconds per a 2026 comparison, with JupyterLab, VS Code and SSH access ready to use.
- One account covers raw GPU VMs, H200 InfiniBand clusters, serverless vLLM/SGLang/Ollama endpoints and a per-token model API.
- Indian customers can pay in INR, and the minimum credit purchase is low ($25 or 500 INR).
- The jl CLI and Python SDK automate instances, file transfer and deployments, and they install skills for AI coding agents.
Cons
- The site lists no compliance certifications (such as SOC 2 or HIPAA) and no published uptime SLA.
- Regions are concentrated in India. VPC networking and reserved IPs work only in the India regions.
- There is no free trial; usage requires a prepaid top-up.
- Serverless supports only vLLM, SGLang and Ollama, not arbitrary containers.
- Storage at $0.10 per GB-month costs more than at some rivals, and data outside /home is lost when an instance is paused.
- The GPU catalog is small (seven on-demand types), and there is little independent review coverage, with only a single dated review on G2.
Key Features
Jarvislabs Pricing
Pay-as-you-go (prepaid credits)
- No free trial
- 1, 2, 4 or 8 GPUs per instance
- CPU VMs from $0.05/hr (2 vCPU, 8 GB RAM)
- Paused instances billed for storage only
- Per-second billing for on-demand GPU instances
- Minimum credit purchase of $25 (or 500 INR in India)
- On-demand GPUs from $0.41/hr (A30) to $4.59/hr (H200 SXM)
- Spot GPU rates up to about 56% lower, with interruptible capacity
Reserved Clusters
- H200 InfiniBand clusters
- 128 to 1,024+ GPUs for planned projects
- Custom quote covering configuration and dates
Savings plan / Reserved
- Contact sales for pricing
- Reserved capacity and custom quotes for 25+ GPUs
- Discounted rates for commitments of one month or longer
Frequently Asked Questions
No. There is no free trial. You buy prepaid credits, with a minimum of $25 internationally or 500 INR in India, paid through Stripe. Refunds are reviewed case by case.
On-demand GPU instances are billed per second while running. Paused instances incur only storage charges at $0.10 per GB-month. Deleting an instance stops all billing. Spot instances are cheaper but can be interrupted.
The pricing page lists H200 SXM, H100 SXM, RTX Pro 6000 Blackwell, A100 80GB, A100 40GB, A30 and L4, in 1, 2, 4 or 8 GPU configurations. H200 InfiniBand clusters are available for multi-node training.
The vendor says GPUs are currently offered in India, with more regions planned. Third-party listings show Chennai and Noida in India plus a Finland location. CPU VMs are in Noida.
Yes. The jl CLI and the jarvislabs Python SDK create, pause, resume and delete instances and handle deployments and storage. The older jlclient API is deprecated and no longer maintained.
Its website publishes no compliance certifications, and independent comparisons could not confirm SOC 2, HIPAA or GDPR status. Compliance-sensitive buyers should ask sales directly.
Yes. A savings plan offers discounted rates for commitments of one month or longer. Reserved capacity and custom quotes are available for 25 or more GPUs, and reserved clusters scale from 128 to over 1,024 GPUs.
Support is by email at support@jarvislabs.ai, backed by troubleshooting docs, FAQs and tutorials. Support covers the instance lifecycle but does not guarantee framework-specific help for every open-source tool.
Similar Tools
See all alternatives
Amazon's public cloud platform, with over 200 pay-as-you-go services for compute, storage, databases, networking and AI, used by startups through large enterprises and governments.
DigitalOcean is a developer-focused cloud platform offering Droplet VMs, managed Kubernetes, databases, object storage, App Platform and GPU compute for startups and small businesses.
French cloud provider offering shared web hosting, VPS, dedicated servers and an OpenStack-based public cloud for businesses and developers.
Ranked near Jarvislabs in AI Software
See Jarvislabs in the listJarvislabs is #258 in AI Software by our score.
