Pilot block
Validate your own AI workloads on a pilot block, testing compute throughput, fabric and storage performance before committing to a larger deployment.
Power Your Demanding Models with an Integrated AI Factory Ecosystem
Build and run your ambitious AI workloads on dedicated B300 and GB300-class clusters, with power, liquid cooling, high-speed fabric, storage and cluster operations engineered as one under a single accountable delivery model.
The Scale Your Models Demand. The Accountability Your Business Expects.
Large-scale AI factory buildout underway in Sydney
- 8,208
NVIDIA B300 GPUsSuperPOD architecture · 17.83 PB of VAST Data storage
- 50,000+
GPUsAcross international programmes in execution and acquisition
- 20+ years
Operating mission-critical data centre infrastructure
- NSE · BSE
Listed on NSE and BSEAudited financials and public disclosures
The Bottlenecks That Derail Your AI Roadmap
GPUs are one part of the engine. Every layer must be ready before the full cluster can run together.
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01Allocation
Allocation and delivery dates must align with your training roadmap.
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02Power
A site is only ready when power and cooling can support the cluster at the rack.
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03Bring-up
Cooling, fabric, storage and burn-in must work together before the first training run.
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04Goodput
Failures, slow checkpoints and storage bottlenecks reduce the work your cluster completes.
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05Counterparty
Ownership, financing and operating capacity matter throughout a long-term programme.
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06Contract
Acceptance, billing, SLAs and remedies should be clear before the cluster is needed.
The Wrong Partner Can Cost Your AI Ambition
A delayed cluster can cost more than a quarter. It can put your next model behind schedule.
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M0
The fragmented partner: Contract signed on the lowest GPU-hour quote.
M0Your accountable partner: Energised power and site handover verified.
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M4
The fragmented partner: Site power is delayed. The cluster has nowhere to run.
M1–3Your accountable partner: Hardware, cooling, fabric and storage planned together.
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M7
The fragmented partner: Cooling fails acceptance. Racks remain idle.
AcceptanceYour accountable partner: Cluster tested on your workloads.
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M9
The fragmented partner: Fabric is unstable at scale. Training jobs keep restarting.
Go-liveYour accountable partner: Service begins under agreed acceptance and billing terms.
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M12
The fragmented partner: Provider financing falters. Long-term capacity is at risk.
Year 1+Your accountable partner: Goodput, cluster health and operations tracked continuously.
What a Six-Month Cluster Delay Puts at Stake
8,000 GPUs× 720 hours per month× US$3 per GPU-hour
≈ US$17.3M
in compute capacity delayed each month
≈ US$103.7M
over six months - with your AI roadmap held back too
*Illustrative calculation is the value of delayed capacity, based on an assumed GPU-hour rate and continuous use.
Build at the Scale Your AI Vision Demands
Validate on a pilot block, reserve a dedicated cluster & build an AI factory around your architecture.
Dedicated cluster
Reserve a single-tenant B300 or GB300-class cluster with bare metal or managed Slurm/Kubernetes, high-performance storage and 24×7 operations.
Purpose-built AI factory
Build an AI factory with site, power, liquid cooling, high-speed fabric, storage and cluster operations engineered around your architecture and expansion plans.
Build Your Cluster Through One Connected Delivery Model
Every layer commissioned, tested and operated through one coordinated plan.
01
Verify the site
Confirm energised power, cooling capacity and handover dates.
02
Sequence the supply
Align GPU, network and storage delivery with site readiness.
03
Commission the cluster
Install racks, commission liquid cooling, configure fabric and tune storage.
04
Test on your workloads
Complete burn-in, benchmarks and acceptance before declaring the cluster ready.
05
Operate and report
Run 24×7 operations with cluster health, goodput and spare coverage tracked.
The Capability Engine Behind Your AI Ambitions
20+ years of operations
Mission-critical data centre and cloud infrastructure for 2,500+ customers, including 170+ financial institutions.
Frontier-class engineering
B300/GB300 programmes spanning power, liquid cooling, fabric, storage and cluster bring-up.
Publicly accountable
NSE- and BSE-listed, with audited financials and public disclosures.
Global delivery
International AI infrastructure programmes involving 50,000+ GPUs in execution and acquisition.
One delivery partner
Data centres, OEMs, GPU clusters, HPC management and 24×7 operations coordinated by ESDS.
Our own technology
Patented infrastructure IP and the sovereign SWARAJ Cloud platform.
Eight Questions You Should Ask Your GPU Provider. Ask Us, Too.
Connect with our experts, and we’ll walk you through each answer and the evidence behind it.
PowerIs it energised, or only contracted? Can you verify the site and utility timeline?
We quote only capacity that is energised or has a confirmed handover date in writing, and we share the utility agreement and site power schedule under NDA during diligence.
OwnershipWho owns and finances the GPUs?
We disclose the ownership and financing structure of the hardware behind your cluster, so you know exactly which balance sheet stands behind your capacity.
ContinuityWhat protects our capacity if your financing changes?
Our contracts set out how your reserved capacity, data and checkpoints are protected and handed back if our own financing changes, so a lender event does not become your outage.
CommissioningWho is accountable for liquid cooling and network fabric?
Commissioning is led and owned by our engineering team. Where specialist partners are involved, we name them and remain the single accountable party for the result.
AcceptanceWill you test our workloads before service and billing begin?
Yes. Burn-in and acceptance run on benchmarks and your own jobs, and billing starts only once the cluster passes the acceptance criteria agreed in the contract.
SLAsDo your commitments align with your upstream agreements?
We align our customer SLAs with our upstream power, network and hardware agreements, so the commitments we make to you are backed by the commitments made to us.
JurisdictionWhich law governs the contract, and where are disputes resolved?
International contracts can be placed under recognised frameworks such as Singapore law with ICC arbitration, where applicable.
Financial strengthAre your audited financials publicly available?
Yes. ESDS is listed on NSE and BSE, and our audited financials are publicly disclosed.
