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E2E Cloud Tech Stack

GPU cloud platform for AI workloads across India

Technology, Information and Internet New Delhi, DELHI 201–500 employees Founded 2009 Public Company

E2E Cloud operates a self-service GPU and CPU cloud platform targeting AI training and inference workloads in India. The tech stack reveals a production ML infrastructure focus: NVIDIA GPUs (H100, H200), PyTorch, TensorFlow, Kubernetes, and orchestration layers (Slurm, Kubeflow). Current projects center on reference AI solutions, containerized templates, and hybrid GPU-CPU architecture—indicating a shift toward productized AI blueprints rather than bare metal provisioning alone. Pain points around kernel-level performance bottlenecks and infrastructure costs suggest they're optimizing utilization density and cost structure as they scale.

Tech Stack 40 technologies

Core StackPython React FastAPI Cursor AWS Kubernetes Docker VMware Kubeflow PyTorch TensorFlow Linux Claude Codex NVIDIA H200 NVIDIA H100 NVIDIA Azure GCP KVM Slurm TensorRT ONNX Runtime CUDA cuDNN Ubuntu CentOS Debian VPC NVMe+10 more

What E2E Cloud Is Building

◆Challenges

High infrastructure costs
Reducing repetitive manual work
Improving reliability and scalability
Debugging kernel-level performance bottlenecks

▲Active Projects

Reference ai solutions/blueprints for e2e platform
Containerized deployable templates for ai use cases
Showcase implementations demonstrating platform capabilities
Ai model training poc
Hybrid gpu-cpu architecture design
High-availability infrastructure design

Hiring Activity

Steady6 roles · 2 in 30d

Department

Engineering

4

Product

1

Sales

1

Seniority

Mid

4

Manager

1

Senior

1

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About E2E Cloud

E2E Cloud provides high-performance compute infrastructure—GPU and CPU instances, dedicated compute, and managed Kubernetes—through a self-service portal and API. Founded in 2009 as a contractless cloud provider in India, the company went public on NSE Emerge in 2018 with a 70x oversubscribed IPO. They have served over 10,000 customers historically and maintain an active customer base. Today, E2E Cloud is positioned as India's largest NSE-listed cloud provider, serving engineering teams and data science organizations building AI applications. The platform bundles compute, CDN, and load-balancing capabilities.

HeadquartersNew Delhi, DELHI

Company Size201–500 employees

Founded2009

Hiring MarketsIndia

Frequently Asked Questions

What GPUs does E2E Cloud offer?

E2E Cloud provides NVIDIA H100 and H200 GPUs alongside high-performance CPU instances. The platform also supports hybrid GPU-CPU architecture configurations for flexible workload distribution.

What tech stack does E2E Cloud use?

The platform runs on Python, React, Kubernetes, Docker, and KVM/VMware. For AI workloads: PyTorch, TensorFlow, Kubeflow, CUDA, cuDNN, and ONNX Runtime. Infrastructure: AWS, Azure, GCP, with Ubuntu, CentOS, Debian Linux distributions and NVMe storage.

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