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Jarvislabs

Jarvislabs

Jarvislabs rents GPU cloud and managed model endpoints to AI builders seeking simpler deployment than hyperscale bundles.

Operating headquarters
Coimbatore, Tamil Nadu, IN🇮🇳
Founded
2019
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Library

Jarvislabs - Library

jarvislabs.ai·Crawled Oct 9, 2026·

Topics

Publication type

Content origin
Row density

Product

6 pages
  1. Cloud GPU for Universities — On-Demand GPU Labs/universities

    Credit-based cloud GPU access for universities. Give every student their own GPU environment — H100, A100, L4 — with per-student budget caps. Compare vs on-prem servers and AWS. Free pilot available.

  2. GPU Clusters/products/clusters

    Launch a GPU cluster from your dashboard or reserve 128, 256, 1,024+ GPUs with our team. Explore NVIDIA GPUs and networking for your workload.

  3. How ZYNG AI Edits 5 Million Images a Month/customer-stories/zyngai

    How ZYNG AI uses Jarvislabs H100s, committed RTX PRO 6000 Blackwell GPUs, and CLI-driven autoscaling to edit more than 5 million images a month.

  4. Jarvislabs Brand Guidelines & Assets/brand

    Official Jarvislabs brand guidelines: logo downloads, colors, typography, and usage rules for partners, press, and designers.

Blog

6 pages
  1. AI Frequently Asked Questions/ai-faqs

    Common questions about AI, machine learning and deep-learning workloads on Jarvislabs GPUs.

  2. Customer Stories/customer-stories

    See how AI teams use Jarvislabs GPU cloud for model training, committed inference, and demand-based autoscaling.

  3. How BITS Pilani Researchers Image Ultrafast Electron Dynamics on Jarvislabs/customer-stories/bits-pilani

    How a Physics research group at BITS Pilani uses a Jarvislabs GPU-enabled VM for ab-initio TDSE simulations of photoelectron momentum distributions, running Julia and CUDA.jl workloads without modifying their established workflow.

  4. How Lossfunk Residents Run AI Research on Jarvislabs/customer-stories/lossfunk

    How researchers in the Lossfunk residency use Jarvislabs L4, A100, and H100 GPUs for interpretability, reinforcement learning, continual learning, and world-model research.

Careers & Hiring

6 pages
  1. Careers at Jarvislabs/careers

    Build the cloud AI runs on. Jarvislabs is hiring serious builders for inference, training, forward-deployed engineering, and GTM systems.

  2. Developer Advocate — AI & GPU Workflows/careers/developer-advocate-ai-gpu-workflows

    Help developers build with JarvisLabs models as an API, GPU compute and model deployment. Ship tested examples, tutorials and demos.

  3. Growth & Product Marketing Lead/careers/growth-product-marketing-lead

    Help developers adopt JarvisLabs, with an early focus on models as an API. Own positioning, launches and growth experiments through repeat use.

  4. GTM Systems Engineer/careers/gtm-systems-engineer

    Build Jarvislabs' AI-native go-to-market system. Use code, data, automation, AI tools, and customer understanding to create leverage without becoming a spam engine.

Pricing

2 pages
  1. New GPU rates from October 5, 2026/updates/gpu-pricing-october-2026

    New rates for H200, H100 and RTX PRO 6000 apply to on-demand usage and new reserved plans from October 5, 2026. Existing reserved plans are not affected.

  2. Pricing – Cloud built for AI teams/pricing

    Cloud built for AI teams. NVIDIA H100, A100 & L4 GPUs with per-minute billing. Templates boot in 1.8 seconds, VMs in under 90s. No commitments.

Comparison

6 pages
  1. Compare GPU Cloud Providers/compare

    Compare Jarvislabs with RunPod, Vast.ai, Lambda Labs, CoreWeave, and Paperspace. Side-by-side GPU pricing, features, and recommendations for AI training and inference.

  2. Jarvislabs vs CoreWeave: GPU Cloud Pricing Compared (2026)/compare/coreweave

    Compare Jarvislabs and CoreWeave for GPU instances, inference, and multi-node training. Compare H100 SXM pricing, storage, deployment options, and committed capacity.

  3. Jarvislabs vs Lambda: GPU Cloud Pricing Compared (2026)/compare/lambda-labs

    Compare Jarvislabs and Lambda for GPU instances, inference, and multi-node training. Compare H100 SXM pricing, storage, deployment options, and committed capacity.

  4. Jarvislabs vs Paperspace: GPU Cloud Pricing Compared (2026)/compare/paperspace

    Compare Jarvislabs and Paperspace for GPU instances, inference, and multi-node training. Compare H100 SXM pricing, storage, deployment options, and committed capacity.

Contact

1 page
  1. Contact Us - Jarvislabs | GPU Rental Support & Sales/contactus

    Get in touch with Jarvislabs for GPU rental support, sales inquiries, and custom solutions. Email us at engineering@jarvislabs.ai or visit our office in Coimbatore, India.

Homepage

2 pages
  1. Homepage/

    Rent NVIDIA H200 GPUs with 141GB memory at $4.59/hr for LLM training and inference. On-demand access, per-minute billing. H100 GPUs also available.

  2. In/in

    India’s AI cloud for GPU VMs, containers, InfiniBand clusters and managed inference. Rent H100, H200 and RTX Pro 6000 GPUs with INR billing.

Terms & Conditions

2 pages
  1. Sanctioned Country Policy/policies/sanctioned-country-policy

    Read the Jarvislabs sanctioned country policy for US export law: export controls on high-performance GPUs, the list of restricted countries, and how to report a violation.

  2. Supported Countries – Sign Up from 57 Countries/supported-countries

    Jarvislabs accepts sign-ups from 57 countries across 6 continents. Check if your country is supported and start renting NVIDIA H200, H100 & A100 GPUs.

Coverage

6 items
  1. jarvislabsaigithub.com/jarvislabsai

    GitHubRepository owner

  2. Jarvislabs.ai launches Managed Endpoints to deployvarindia.com/news/jarvislabs-ai-launches-managed-endpoints-to-deploy-open-weight-ai-models

    Jarvislabs.ai launches Managed Endpoints for deploying open-weight AI models. The article text provides no further details about the service or its capabilities.

    Sep 2026 · varindia.comNews article

  3. Jarvislabs.ai Launches Managed Endpoints to Cut Weeks from Enterprise AI Deploymentcxotoday.com/media-coverage/jarvislabs-ai-launches-managed-endpoints-to-cut-weeks-from-enterprise-ai-deployment/

    Jarvislabs.ai launches Managed Endpoints, a service that lets enterprises deploy open-weight AI models without configuring and optimizing inference infrastructure themselves. Over recent months, it found that preparing a newly released model for production could take 15 to 20 working days.

    Sep 2026 · CXOToday.comNews article

  4. E2E Networks shares rise 10% after winning ₹177 crore order from MeitY’s IndiaAI mission - CNBC TV18cnbctv18.com/market/stocks/e2e-networks-bags-rs-177-crore-order-from-meitys-indiaai-mission-share-price-19663291.htm

    E2E Networks receives a ₹177 crore contract from MeitY’s IndiaAI Mission to supply advanced GPU resources for development of India’s foundational AI model. The company’s shares rise 5.86% on the NSE on Tuesday, September 2, closing at ₹2,403.10 following the order announcement.

    Sep 2025 · CNBCTV18News article