JarvisLabs

What JarvisLabs does

JarvisLabs is an India-headquartered GPU cloud infrastructure platform providing on-demand rental of NVIDIA GPUs for AI/ML and deep learning workloads. Founded in 2019 and operating as a subsidiary of E2E Networks, the platform offers ten-plus GPU SKUs spanning H100, H200, A100, RTX 6000 Ada, and the newly launched RTX PRO 6000 Blackwell, priced from $0.39/hr (RTX 5000) to $3.80/hr (H200) on a per-minute, pay-as-you-go basis with no minimum commitments and no egress fees. Technical differentiation centers on sub-90-second instance launches, persistent workspaces that survive shutdowns, multi-GPU clusters up to 8 GPUs with NVLink, and an agent-native CLI/SDK that integrates with Claude Code, Cursor, and Codex for programmatic and autonomous GPU management.

The company serves a distributed base of 27,343+ AI developers across 65+ countries, supported by regional data centers in India (IN2, with DPDP Act compliance and INR billing), Finland (EU1), and the United States. Revenue is generated entirely through usage-based GPU rental — there is no disclosed enterprise licensing or committed-contract revenue — and the company has reached $1.2M ARR while remaining bootstrapped with no outside investment at a $3.6M valuation. Customer segments span individual AI/ML practitioners and researchers, AI startups and teams, enterprise AI teams seeking hyperscaler alternatives, and India-based enterprises with local data residency requirements. GTM is product-led and community-driven: the fast.ai endorsement ecosystem, organic SEO via comparison pages, developer testimonials, and a content-rich AI FAQ hub drive top-of-funnel acquisition without traditional sales overhead.

Name

JarvisLabs

Legal name

Jarvislabs.ai

Website

https://jarvislabs.ai

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

11–50 employees

Short description

JarvisLabs is an India-based, bootstrapped GPU cloud platform renting NVIDIA H100, H200, A100, and Blackwell GPUs on a per-minute basis to AI/ML practitioners, startups, and enterprises across 65+ countries at $0.39–$3.80/hr.

Ownership category

akta.pro rank

Product category

GPU Cloud Infrastructure

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)

SIC

Services-Computer Rental & Leasing (7377)

akta.pro primary industry

AI Compute Cloud & GPU-as-a-Service (HDAAAAAK)

akta.pro secondary industries

GPU/Accelerator Compute Servers (HDABADAC), GPU-Accelerated & AI Training/Inference Servers (HDACABAG)

Keywords

• GPU cloud rental
• AI infrastructure
• ML compute platform
• Deep learning GPUs
• Cloud GPU hosting

Headquarters

HQ city

Coimbatore

HQ country

India

HQ region

Asia

Offices3 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Infrastructure, Technology or R&D, Personnel, Marketing or Sales, Operations

Revenue model

1. GPU Rental (Usage-based): Revenue generated from renting GPU compute time to AI/ML practitioners. Customers pay per minute for active GPU usage with various GPU tiers (H100, H200, A100, RTX series). Storage costs are charged separately when instances are paused or deleted.

Pricing tiers

Go-to-market motion2 records

Distribution channels5 records

Marketing channels6 records

Core offering

JarvisLabs provides on-demand GPU cloud rental infrastructure for AI, machine learning, and deep learning workloads. Customers rent NVIDIA GPUs (H100, H200, A100, RTX series) by the minute with no minimum commitments, deploying pre-configured instances in under 90 seconds. The platform is complemented by a CLI/SDK, pre-built framework templates (PyTorch, TensorFlow, ComfyUI, Automatic1111), and regional deployment in India, Europe, and the US.

Product overview

JarvisLabs is a GPU cloud computing platform offering on-demand rental of NVIDIA GPUs for AI/ML and deep learning workloads. The core offering is the GPU Cloud Rental Platform with various GPU tiers (H100, H200, A100, RTX series) available starting at $0.39/hr with per-minute billing. The platform provides complementary tools including CLI & SDK for programmatic GPU management, pre-configured templates (PyTorch, TensorFlow, ComfyUI, Automatic1111), and a dedicated India region for localized data residency. Users access GPU instances via JupyterLab, VS Code Web, or SSH, and can deploy applications using Gradio, Streamlit, or FastAPI. The company serves 27,000+ AI developers across 65+ countries with a 99.9% uptime SLA and <90 second instance launch time.

Differentiator

Problem solved

Functional benefit

Products and services

• GPU Cloud Rental Platform On-demand GPU rental platform providing access to NVIDIA GPUs (H100, H200, A100, RTX series) starting at $0.39/hr with per-minute billing, no minimum commitments, and 99.9% uptime SLA for AI/ML practitioners and developers.
• NVIDIA H200 GPU Highest-memory Hopper GPU offering 141GB HBM3e memory at 4.8 TB/s bandwidth for running large language models like Llama 70B in full FP16 precision. Priced at $3.80/hr.
• NVIDIA H100 GPU High-performance datacenter GPU with 80GB HBM3 memory offering 2-4x faster performance than A100 for training and inference with native FP8 support. Priced at $2.69/hr.
• NVIDIA A100 80GB GPU Datacenter GPU with 80GB HBM2e memory offering 45% lower cost per hour than H100 for fine-tuning, inference, and development workloads. Priced at $1.49/hr.
• NVIDIA RTX 6000 Ada GPU Professional Ada Lovelace GPU with 48GB GDDR6 memory and 4th-gen Tensor Cores for mid-sized model fine-tuning and inference at approximately $0.99/hr.
• NVIDIA RTX PRO 6000 Blackwell GPU Professional Blackwell GPU with 96GB GDDR7 ECC memory, 5th-gen Tensor Cores with native FP4 support. ISV-certified drivers for enterprise stability, available in 1-8 GPU configurations.
• CLI & SDK Command-line interface and Python SDK for managing GPU instances programmatically, supporting instance creation, managed runs, file transfer, SSH access, and agent-native GPU experiment execution via Claude Code, Cursor, and Codex integration.
• GPU Cloud India Region (IN2) India-hosted GPU infrastructure with local INR billing, DPDP Act compliance, and India data residency for regulated workloads. India pricing starts at ₹219/hr for H100 GPUs.

Quantifiable outcome

• 56% cost savings vs CoreWeave for H100 GPU rental
• +3 more outcomes

Named customers7 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability7 records

Feature6 records

Partnerships

One partnership is on record.

• E2E NetworksparentOthersJarvis Labs is an E2E Networks company. E2E Networks is an Indian cloud infrastructure company that owns and operates the Jarvis Labs GPU cloud platform. This is a parent-subsidiary relationship where Jarvis Labs operates as a business unit within E2E Networks.

Scale indicators7 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Lambda Labs: GPU cloud and deep learning infrastructure provider serving AI researchers and enterprises with H100 clusters. Direct competitor referenced in JarvisLabs' pricing comparisons, with overlapping customer base of AI/ML teams and similar per-GPU-hour usage-based pricing.
• Vast.ai: Marketplace for GPU rentals aggregating consumer and datacenter GPUs at discount rates. Direct competitor mentioned in JarvisLabs' comparison pages, competing on price-sensitive AI workload rentals with a similar self-serve model.
• RunPod: GPU cloud platform providing on-demand and serverless AI compute with per-second billing. JarvisLabs' H100 pricing comparison explicitly benchmarks against RunPod Secure, indicating direct head-to-head competition for AI developers seeking low-friction GPU access.
• CoreWeave: Specialized GPU cloud provider offering NVIDIA H100, H200, and A100 instances for AI training and inference. Directly comparable to JarvisLabs in product offering, target customer (AI/ML practitioners), and pricing-led positioning, though at vastly greater scale and capital backing.
• Fluidstack: GPU cloud provider operating large-scale AI compute clusters with NVIDIA H100/H200 capacity. Direct competitor in the AI training and inference cloud market, comparable business model and enterprise customer focus.
• Together AI: AI cloud platform offering GPU compute for training, fine-tuning, and inference of open-source models. Comparable in target audience (AI/ML developers and researchers) and per-hour GPU pricing model, with stronger focus on integrated inference APIs.
• Paperspace (DigitalOcean): GPU cloud platform now owned by DigitalOcean, offering on-demand GPU instances for ML workloads. Direct peer explicitly mentioned in JarvisLabs customer testimonials as a previous alternative, indicating direct competition for AI practitioners.

Others

• E2E Networks: Parent company of JarvisLabs and an Indian cloud infrastructure provider offering GPU and CPU compute services. Comparable as a sibling cloud platform with overlapping India-region GPU offerings, though JarvisLabs operates as a specialized AI-focused business unit.

Broad incumbents

• AWS EC2 (P5/P4 instances): Hyperscaler GPU compute offerings (P5, P4d, G5) cited by JarvisLabs as 3-6x more expensive. Broad incumbent in the same cloud GPU market but does not specialize in the developer-first, no-commitment, PLG model that JarvisLabs targets.
• Google Cloud GPU VMs: Hyperscaler providing A100 and H100 GPU instances via Compute Engine. Broad incumbent competitor referenced implicitly in JarvisLabs' positioning as part of the high-cost hyperscaler alternative set.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

• Xx.com/jarvislabsai
• LinkedInlinkedin.com/company/jarvis-labs

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about JarvisLabs