Transform Your Boldest AI Ambitions from Pilot to Production

Give your AI ambitions the infrastructure to deliver. Build and run AI on GPU compute, SWARAJ Cloud, models, enterprise RAG, governance and managed operations in one hosted ecosystem built for production.

Map your AI workloads

A GPU Without an Ecosystem is an Expensive Space Heater

GPU cluster Idle 40–50%
Working Idle, still drawing power · illustrative
6–9 months

Lost to stitching the stack

Drivers, networking, scheduling, storage and model serving can take months to integrate before the first training run.

40–50%

Typical GPU idle time

Without intelligent scheduling and usage visibility, valuable compute capacity can sit unused.

1 audit

Enough to expose a residency gap

Prompts, logs, keys and control planes all need to be accounted for when handling regulated Indian data.

3 cost variables

One difficult AI budget

Token usage, data egress and currency exposure can make costs harder to forecast as workloads grow.

3 specialist disciplines

One difficult team to assemble

MLOps, GPU orchestration and AI governance all need expertise to move a use case into production.

When Your AI Partner Becomes Your Biggest Constraint

An AI partner becomes part of your architecture. Choose poorly, and the consequences can outlast the contract.

DATA CONTROL

Can you account for every copy of your AI data?

Prompts, logs, embeddings and keys may pass through services your team cannot fully inspect or govern.

PORTABILITY

Can you leave without rebuilding?

Provider-specific models, pipelines and tooling can turn a change of vendor into a major engineering project.

CONTINUITY

Who keeps production AI running?

Capacity, support and financial stability matter long after the first model goes live.

1 weeka lock-in decision you made in a week
6–12 monthsto re-platform after a lock-in decision you made in a week.
1–2 yearsof competitive ground ceded while rivals run AI in production.
One

accountable partner is how you avoid all of it.

AI

The GPU Powers the Workload. The Entire Stack Powers Your Business

Seven layers working together to take enterprise AI into production.

Map your AI workloads
01

Physical Infrastructure

Indian data centres, power and cooling

02

CPU and GPU Compute

GPUaaS and dedicated clusters

03

Storage and Network Fabric

AI storage and high-speed connectivity

04

SWARAJ Cloud

Cloud services and unified management

05

Data Foundation

Pipelines, databases and retrieval

06

AI and ML Platform

MLOps, LLMOps and model serving

07

AI Applications

Business-facing AI use cases

One Connected Ecosystem That Puts Every Layer to Work

From developing a model to governing its use in production, ESDS brings the services around your GPU compute into one connected ecosystem.

AI Factory

  1. SWARAJ Bodhi

    AI development and model operations

  2. Model Garden

    Models as a service

  3. Enterprise RAG

    Vector database and knowledge retrieval

  4. Agent Development and Operations

    Agent workflows with oversight

  5. AI-Ready Data Foundation

    Data pipelines and databases

  6. AI Governance and Auditability

    Controls and audit trails

  7. GPU Monitoring and Cost Control

    Utilisation and spend visibility

  8. 24×7 Managed Operations

    Continuous infrastructure support

  9. AI Advisory and Team Skilling

    Architecture and capability building

Map your AI workloads

The Infrastructure, Expertise and Accountability Behind Your AI

20+ YEARS OF OPERATIONS
20+

Mission-critical data centre and cloud infrastructure for 2,500+ customers, including 170+ financial institutions.

FRONTIER-CLASS ENGINEERING
B300/GB300

B300/GB300 programmes spanning power, liquid cooling, fabric, storage and cluster bring-up.

GLOBAL DELIVERY
50,000+

International AI infrastructure programmes involving 50,000+ GPUs in execution and acquisition.

PUBLICLY ACCOUNTABLE
NSE · BSE

NSE- and BSE-listed, with audited financials and public disclosures.

ONE DELIVERY PARTNER
1

Data centres, OEMs, GPU clusters, HPC management and 24×7 operations coordinated by ESDS.

OUR OWN TECHNOLOGY
SWARAJ

Patented infrastructure IP and the sovereign SWARAJ Cloud platform.

Turn Your First AI Deployment into Business Impact

Bring your first AI use case to life on a connected ecosystem that can grow into a fully managed AI Factory.

  1. 01START

    GPU as a Service

    Launch your use case on SWARAJ Cloud with GPU compute, models, enterprise RAG and MLOps in one connected environment.

  2. 02SCALE

    Dedicated Cluster

    Secure single-tenant GPU capacity for fine-tuning and production inference, with networking, storage and operations engineered around your workload.

  3. 03RUN

    Managed AI Factory

    Put the complete seven-layer stack to work under one accountable operating model, with governance, cost visibility and 24×7 managed operations.

Six Make-or-Break Questions to Ask Before Choosing an AI Partner

0 of 6 checked
Six partner checks connecting into ESDS 0/6verified Data control Operational access Auditability Portability Accountability Stability
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