This is What's Next®

The Responsible
Hyperscaler®

Most data centers were built for a different decade. We engineered this one for AI, from the power up.

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01, First

India's first
Vera Rubin
rack-scale system.

The first Vera Rubin platform in India. Purpose-built for the workloads that ask the most of this decade.

NVIDIA Vera Rubin India First
02, Power

Engineered for
800VDC.

India's first DC built around 800V direct current. Higher voltage, fewer conversions, and a topology designed natively for 660 kW capable AI racks.

800VDC India First AI-Native
03, Open

Open by
design.

Vera Rubin alongside AMD Helios, real choice between accelerator architectures for inferencing, RAG, physical AI and scientific workloads.

NVIDIA + AMD Open Stack Choice
04, Scale

Coming to
Kakinada.

Our 1.2 GW Kakinada AI Factory will host Vera Rubin Ultra NVL576 and AMD Helios, connected via dedicated fibre along the Chennai–Vishakhapatnam Expressway.

Kakinada 1.2 GW AI Factory
Scroll
// The new currency of compute

AI runs on tokens.
We build the factories.

Inference is the workload of the decade. Token throughput is the new measure for AI infrastructure. Cost per token. Power per token. Latency per token. We have engineered HyperNext for that economy.

hypernext.inference · generate
LIVE
> describe the future of AI infrastructure in India
Throughput 0 tok / sec
Generated 0 tokens
Energy 0.000 J / token
01

Throughput.

Built for token velocity. 660 kW per rack. NVIDIA Vera Rubin Ultra NVL576 at the top of the line. The engineering to keep the production line moving at full clip, around the clock.

02

Efficiency.

Lowest cost per token in the country. 800VDC end to end. PUE between 1.25 and 1.35. Less energy wasted between the grid and the GPU means more tokens for every rupee.

03

Sovereign.

Tokens that stay home. Indian data. Indian regulation. Indian infrastructure. The AI economy India will build is served by infrastructure India operates.

Why HyperNext

Power-first.
Architecture next.

In this industry, buildings can be constructed quickly. Real scale is defined by power readiness, transmission infrastructure, execution capability and long-term planning. The MW-to-GW journey doesn't start with racks, it starts with securing the hardest things first.

01 / WHY

Power secured before concrete

330 MW allocated by Telangana State Transmission Corporation. A dedicated substation designed, approved and brought up in 1.5 years. While the industry waits for transmission, ours is already operational.

02 / WHY

Renewable already operational

700 MW captive solar at Khavda, Kutch, already generating. 2 GW more under planning. Our path to powering hyperscale AI runs through clean, sovereign generation we own and operate.

03 / WHY

AI-native, not AI-retrofit

India's first 800VDC architecture. Liquid-cooled white space. Engineered around the rack-scale systems shipping from NVIDIA, AMD and HPE, not a 2018 facility wrapped in marketing.

04 / WHY

Building drier, not just faster

#aiwithoutthirst. Our Nagmati River programme has saved 5+ billion litres of freshwater. Direct liquid cooling, dry-cooling air systems, and water reuse, every architectural choice respects the water cost of AI.

05 / WHY

Open compute stack

NVIDIA Vera Rubin and AMD Helios under one roof. Real choice between accelerator architectures, for inferencing, RAG, physical AI and scientific workloads. Customers shouldn't be locked into one vendor.

06 / WHY

BFSI built into the platform

IBM Power-as-a-Service and Mainframe-as-a-Service, direct from HyperNext. Indian banks no longer need to route through three layers of intermediaries to run on the platforms they depend on.

Built in-house

The hard parts,
engineered here.

The systems that decide whether a hall runs cool and clean are the ones we build ourselves, prototyped on the bench and put on our own BMS. Two of them are going into HN1 Phase 1.

What we're deploying

800 MW of AI cluster,
on the ground.

The Hyderabad campus is filling with Vera Rubin. Eight by two pods at 240 kW a rack, on the 800VDC power and the direct-to-chip cooling we built for exactly this load. It is the first slice of 800 MW of AI cluster we are deploying across the platform, racks that most halls in this country cannot power, let alone cool.

800 MW
AI cluster deploying across the platform
8 × 2
Vera Rubin pods at the Hyderabad campus
240 kW
per rack, liquid-cooled, on 800VDC

The same capacity, tuned to the workload that runs on it.

Service levels

An SLA you can
hold us to.

Every customer gets an availability commitment in writing, watched live by our own building management system, and backed by service credits if we ever miss it. Reliability you can verify, not just take on trust.

Credit-backed guarantee

Miss an SLA target and service credits apply automatically. The commitment carries financial weight, not just words on a contract.

Real-time BMS monitoring

Power, cooling, security and network are watched around the clock from our NOC, per tenant, on the HyperNext building management system.

Predictive, not reactive

Asset health and root-cause analytics flag risk before it becomes downtime, so problems are resolved ahead of any customer impact.

HyperNext BMS dashboard: SLA, uptime and reliability view with per-tenant availability, reliability intelligence and SLA events, monitored from the NOC

A view from the HyperNext BMS: per-tenant uptime, SLA events, reliability intelligence and root-cause, monitored around the clock from our NOC.

Built with the best

A partner network of global leaders.

From accelerated compute and rack systems to power conversion, cooling and standby generation, every layer is built with the leader in its field, not the lowest bid.

NVIDIA
AMD
HPE
IBM
Hitachi Vantara
Delta Electronics
Eaton
Schneider Electric
Kirloskar
Cisco
Palo Alto Networks
Check Point
See all partners →
Our Commitment

Net Zero
by 2030.

Net zero is a serious thing to claim, so we do not claim it lightly. Powered by 2.7 GW of captive renewable energy. Cooled by liquid, not aquifers. Built on an electrical architecture we patented because the alternatives, in this climate, do not hold up.

800 VDC
Native DC architecture

Cuts 6-12% of conversion loss compared to legacy AC distribution. Designed for the rack-scale GPU systems that need it: AMD Helios and NVIDIA Vera Rubin Ultra NVL576.

1.25 – 1.35
Patented PUE band

Real-world design PUE across the operational year. Validated against Indian peak ambient temperatures of 40 to 45°C. Three granted patents underpin the electrical topology.

660 kW
Per-rack density

Liquid-cooled racks designed for 660 kW. The headroom is intentional. The platform scales as silicon density compounds, without retrofits.

2.7 GW
Captive renewable

Khavda Kutch solar park: 700 MW operational, 2 GW under planning. Plus a portfolio of partnership wind allocations across the corridor.

< 0.1 L/kWh
Water Usage Effectiveness target
5+ B litres
Freshwater impact, Nagmati programme
29 + 14
Patents, granted and pending
Tier IV
Uptime Institute, every campus
Footprint

Four campuses.
Two continents.

Three flagship campuses across India, anchored to fibre landings. One international gateway in South Africa. Plus five Build-to-Suit projects across India's top metros.

Flagship

Kakinada AI Factory

Andhra Pradesh, India
1.2 GWTotal capacity
Vera Rubin Ultra NVL576+ AMD Helios
Jan 2028Operational

India's largest single-site AI factory. Built around the rack-scale systems shipping from NVIDIA, AMD and HPE. Dedicated fibre on the Chennai-Vishakhapatnam Expressway.

India · Telangana

Hyderabad

BFSI Anchor Campus
250 MW IT · Dec 2026

Tier IV. 6 Indian + 4 international banks anchored.

India · Chhattisgarh

Nava Raipur

DRaaS, India First
100 MW · Apr 2028

Military-grade resiliency. Zero-downtime SLA available.

South Africa · Gauteng

Johannesburg

International Gateway
110 MW · Jun 2028

HyperNext's first international campus.

Plus 5 Build-to-Suit campuses, 15 to 25 MW each
Hyderabad Navi Mumbai Noida Pune Kolkata
Where to find us

Four offices.
One commitment.

Corporate offices across India's tech and financial corridors, plus a North America presence in Toronto. Closer to where you build, where you bank, where you decide.

India · Maharashtra

Mumbai

Bandra Kurla Complex

WeWork BKC
Bandra Kurla Complex
Mumbai 400051

India · Karnataka

Bangalore

Bagmane Tech Park

Bagmane Tech Park
Mahadevapura
Bengaluru 560048

India · Gujarat

Ahmedabad

Navratna Corporate Park

Navratna Corporate Park, Tower A
Ambli Bopal Road
Ahmedabad 380058

Canada · Ontario

Toronto

Bay Street Financial District

181 Bay Street
Toronto, ON M5J 2T3
Canada

HyperNext Research
Nine papers

The window between vulnerability discovery and weaponisation has collapsed from months to hours.

Water positive is an arithmetic test, not a marketing claim. It is failed more often than it is passed.

India's installed AI training capacity in 2026 is a small fraction of the 2030 demand. The gap will not close itself.

At 600 kW per rack, air cooling stops being a design choice. It is a no-longer-available choice.

The economic unit of AI is the token. The cost per million tokens determines whether a product scales or stays premium.

The Building Management System is the operating system of a Tier IV AI data center. Treat it accordingly.

Data residency in India is one of three layers of sovereignty. It is necessary. It is not sufficient.

The 415VAC distribution path that worked for the 5-20 kW rack era is now a stranded asset.

A data center that takes more water than it returns is not sustainable. It is borrowed.

HN-RP-009 Frontier AI and the Indian Banking System Policy 04 June 2026