E2E Networks

What E2E Networks does

E2E Networks Limited (NSE: E2E) is an Indian AI-first cloud GPU infrastructure provider founded in 2009 and headquartered in New Delhi, with GPU data centers in Delhi NCR and Chennai. The company operates a self-serve cloud platform that provisions NVIDIA GPUs (B200, H200, H100, A100, RTX PRO 6000, L40S, L4) on demand for AI/ML training, fine-tuning, and production inference workloads. Its core technology stack includes the GPU Cloud Platform (supporting single-GPU to 1,000+ cluster deployments with 99.95% uptime SLA) and TIR (Thunder Intelligent Runtime), an end-to-end AI development environment with automated scaling, inference optimization features (continuous batching, KV-cache routing), and support for parallel file systems and container registries. Infrastructure is certified SOC2 Type 2, ISO 27001, ISO 27017, ISO 27018, and PCI DSS compliant.

The company monetizes GPU compute primarily through usage-based hourly rental across on-demand, commitment (3+ month discounted), and spot/preemptible tiers, with additional revenue from storage services and government contracts. Pricing is denominated in INR to eliminate forex exposure for Indian customers and is positioned 30-50% below international hyperscaler benchmarks. The customer base spans AI startups (Qure.ai, Invideo AI, Segmind, Dhee.AI, Gnani.ai, Saarthi.ai, CamCom, Spyne), educational institutions (Indian School of Business), and government-backed IndiaAI Mission participants. Distribution is hybrid: a self-serve product-led dashboard with INR 2,000 free credits for new users, complemented by enterprise sales for large deployments and a partner/reseller program.

E2E Networks is the only listed pure-play GPU cloud provider in India with MeitY empanelment, operating India's largest H200 deployment (2,048 GPUs) alongside a 1,024-unit NVIDIA B200 Blackwell cluster at the L&T Vyoma Data Center in Chennai. Larsen & Toubro holds an 18.45% strategic stake following a November 2024 INR 1,407 crore investment, and the company has secured INR 265+ crore in IndiaAI Mission contracts. Revenue reached INR 245.6 crore in FY26 (approximately 50% YoY growth), with market capitalization reaching INR 9,310 crore in June 2026.

Name

E2E Networks

Legal name

E2E Networks Limited

Website

https://e2enetworks.com

Company type

Public

Founded year

2009

Operating status

Operating

Headcount range

101–250 employees

Short description

E2E Networks is India's listed AI-first GPU cloud provider, offering on-demand NVIDIA B200/H100/H200 instances and TIR platform for AI training and inference, serving startups, enterprises, educational institutions, and IndiaAI Mission workloads with MeitY-empaneled infrastructure.

Ownership category

akta.pro rank

Product category

GPU Cloud Infrastructure

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210), Computer Facilities Management Services (541513)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Electronic Computers (3571)

akta.pro primary industry

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

akta.pro secondary industries

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), GPU/Accelerator Compute Servers (HDABADAC), GPU-Accelerated & AI Training/Inference Servers (HDACABAG)

Keywords

• GPU cloud computing
• AI infrastructure
• Cloud GPU instances
• AI workload hosting
• Sovereign cloud services

Headquarters

HQ city

Faridabad

HQ country

India

HQ region

Asia

Offices3 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. GPU Cloud Rental (On-Demand): Hourly rental of GPU compute instances (B200, H200, H100, A100, RTX PRO 6000, L4) with instant deployment. Customers pay per GPU-hour based on instance configuration. Revenue recognized as compute is consumed.
2. GPU Cloud Rental (Commitment): Discounted hourly rates for 3+ month commitments on GPU instances, offering 20-40% savings versus on-demand pricing. Provides revenue visibility and customer lock-in.
3. GPU Cloud Rental (Spot/Preemptible): 70% discounted GPU instances for interruptible workloads like batch processing and ML training. Lower price point enables cost-sensitive use cases.
4. Storage Services: Additional revenue from block storage, object storage, parallel file system, and high-performance file systems. Billed per GB per month.
5. IndiaAI Mission Contracts: Government contracts under IndiaAI Mission for GPU allocation to researchers, startups, and enterprises. Provides structured revenue from sovereign AI infrastructure buildout.

Pricing tiers

Go-to-market motion3 records

Distribution channels3 records

Marketing channels5 records

Core offering

E2E Networks operates an AI-first GPU cloud infrastructure platform providing on-demand access to NVIDIA GPUs including B200, H200, H100, A100, and RTX PRO 6000 for AI/ML training, fine-tuning, and production inference. The platform scales from a single GPU to 1,000+ node clusters with 10-second deployment and is complemented by the TIR (Thunder Intelligent Runtime) end-to-end AI development platform, storage services, and MeitY-empaneled sovereign cloud infrastructure for Indian data residency.

Product overview

E2E Networks is India's leading AI-First hyperscaler offering a comprehensive GPU cloud infrastructure platform. The core offering is the GPU Cloud Platform providing on-demand access to NVIDIA GPUs (B200, H200, H100, RTX PRO 6000, A100, L40S, L4) with elastic scaling from single GPU to 1,000+ node clusters. The platform includes two key modules: (1) GPU Cloud for direct GPU instance provisioning with 99.95% uptime SLA, and (2) TIR (Thunder Intelligent Runtime) for end-to-end AI development, training, fine-tuning, and production inference. Supporting infrastructure includes Block Storage, Object Storage (S3-compatible), Parallel File System (Lustre on NVMe for AI workloads), and Container Registry. The company also offers specialized platforms: Sovereign Cloud Platform (MeitY-empaneled for government/regulated industries) and AI Lab as a Service (for educational institutions). India's largest H200 deployment (2,048 GPUs) and B200 cluster (1,024 GPUs) are deployed across Delhi NCR and Chennai data centers.

Differentiator

Problem solved

Functional benefit

Products and services

• GPU Cloud Platform India's leading GPU cloud platform providing on-demand access to NVIDIA GPUs (B200, H200, H100, A100, RTX PRO 6000, L40S, L4) for AI/ML training, fine-tuning, and production inference. Offers elastic scaling from a single GPU to 1,000+ node clusters with a 99.95% uptime SLA, INR billing, and MeitY empanelment.
• TIR (Thunder Intelligent Runtime) End-to-end AI development platform for training, fine-tuning, and deploying AI models. Provides automated infrastructure management, inference optimization (continuous batching, priority queuing, KV-cache routing), auto-scaling, and production deployment capabilities for enterprise AI workloads.
• NVIDIA B200 GPU Instances Flagship GPU instances featuring Blackwell architecture with 192GB HBM3e memory, 8 TB/s bandwidth, and 20 PFLOPS FP4 AI compute. Supports trillion-parameter model training and 256K+ token contexts. Starting from $4.90/hr on-demand.
• NVIDIA H200 GPU Instances High-memory GPU instances with 141GB HBM3e memory, 4.8 TB/s bandwidth, and 3.2 Tbps InfiniBand. Supports 405B parameter model training, 2x faster LLM inference vs H100, and 128K+ token contexts. Available in 1x, 2x, 4x, 8x configurations starting from $2.20/hr.
• NVIDIA H100 GPU Instances Industry-standard 80GB HBM3 GPU instances for enterprise AI training and inference. Hopper architecture with Transformer Engine, supporting 70B parameter models and 3.35 TB/s memory bandwidth. Available in 1x, 2x, 4x, 8x configurations starting from $1.80/hr.
• NVIDIA RTX PRO 6000 GPU Instances Single-GPU server edition featuring 96GB GDDR7, 4,000 AI TOPS, and PCIe Gen 5. Runs 70B models at FP8 on a single card with deterministic performance and MIG support for isolated workloads. Starting from ₹180/hr on-demand.
• GPU Cluster Infrastructure Large-scale GPU cluster deployments for sovereign AI workloads. India's largest H200 deployment with 2,048 GPUs and 1,024 B200 GPUs across Delhi NCR and Chennai data centers. Built on NVIDIA Certified Reference Architecture with 3.2 Tbps InfiniBand interconnects.
• Sovereign Cloud Platform Government-grade cloud platform for enterprises and public-sector organizations requiring data residency in India. MeitY-empaneled infrastructure meeting Indian regulatory requirements, including DPDP Act compliance for banking, healthcare, and government sectors.
• AI Lab as a Service Affordable GPU access package designed for educational institutions and universities. Provides academic researchers and students access to enterprise-grade AI infrastructure for learning, coursework, and research purposes.

Quantifiable outcome

• 50% year-over-year revenue growth (FY26: ₹245.6 crore)
• +4 more outcomes

Named customers12 records

Segments4 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability13 records

Feature6 records

Partnerships

Eight partnerships are on record, tiered minor, core and major.

• Proximal CloudminorStrategic or Co-development Partner · 31 March 2026Proximal Cloud's sovereign edge AI architecture uses E2E Networks' GPU infrastructure for hospitals, government agencies, and universities requiring on-premise AI compute with data residency.
• L&T VyomacoreStrategic or Co-development Partner · 20 February 2026Partnership to expand GPU cloud infrastructure capacity in India. Collaboration targets AI workloads and aligns with India's national AI objectives by deploying GPU infrastructure at L&T Vyoma's AI-ready data centers.
• NVIDIAcoreTechnology or Integration · 18 February 2026Strategic collaboration for Blackwell GPU clusters and AI factories in India. E2E Networks deploying NVIDIA B200 and H200 GPU clusters at L&T Vyoma Data Center in Chennai, supporting sovereign AI development.
• IndiaAI MissioncoreOthers · 3 September 2025E2E Networks secured ₹265 crore in IndiaAI Mission contracts for GPU allocation to researchers, startups, and enterprises. MeitY-backed initiative to build sovereign AI infrastructure.
• Dell TechnologiesmajorTechnology or Integration · 18 December 2024Partnership to boost AI/ML capabilities in India. Dell provides enterprise-grade server infrastructure complementing E2E's GPU cloud platform.
• IntelmajorTechnology or IntegrationStrategic partnership for AI infrastructure using Intel technologies alongside NVIDIA GPUs.
• AMDmajorTechnology or IntegrationStrategic partnership for AI infrastructure using AMD processors and GPUs alongside NVIDIA offerings.
• Microsoft AzuremajorTechnology or IntegrationStrategic partnership maintaining interoperability and potential integration with Microsoft Azure cloud services.

Scale indicators7 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Yotta Data Services: India-based GPU cloud and sovereign AI infrastructure provider, operating Shakti Cloud with NVIDIA H100/GH200 capacity and competing for IndiaAI Mission compute contracts alongside E2E Networks.
• CoreWeave: US-based GPU-as-a-service hyperscaler offering NVIDIA H100/H200/B200 clusters with elastic scaling and MLOps tooling — closely mirrors E2E's GPU Cloud Platform and TIR product positioning.
• Lambda Labs: Specialist GPU cloud provider offering on-demand NVIDIA H100/H200 instances for AI training and inference, with a self-serve developer experience comparable to E2E's MyAccount dashboard.
• Vultr: Global cloud provider offering cloud GPU instances (H100, A100, L40S) with hourly billing and self-serve onboarding — directly comparable pricing model and developer audience to E2E's PLG motion.
• Paperspace (DigitalOcean): GPU cloud platform acquired by DigitalOcean offering NVIDIA GPU instances with notebook/ML workflow tooling — same target customer (developers and AI startups) and usage-based pricing model as E2E.
• Together AI: AI cloud platform purpose-built for open-source model training and inference with NVIDIA GPU clusters — comparable focus on serving foundation-model developers with GPU-as-a-service.

Regional players

• CtrlS Datacenters: India's largest Tier-4 data center operator offering cloud and managed hosting with GPU capabilities — competes for Indian enterprise/government workloads alongside E2E's Sovereign Cloud Platform.

Broad incumbents

• Amazon Web Services (AWS): Global hyperscaler with expanding India regions (Mumbai, Hyderabad) and GPU instances (P5/H100); sets the pricing and scale benchmark against which E2E positions its 70% cost-savings value prop.
• Microsoft Azure: Global hyperscaler with India data center regions and ND H100/H200 instances; mentioned as an E2E integration partner and primary competitor for enterprise AI workloads in India.
• Google Cloud Platform: Hyperscaler offering A100/H100 GPU instances with India regions; competes for sovereign AI workloads and is a key benchmark for E2E's pricing positioning.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

• Xx.com/e2enetworks
• Facebookfacebook.com/e2enetworks
• LinkedInlinkedin.com/company/440130

Compliance5 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds6 records

Investors2 records

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 E2E Networks