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Built for Every GPU Generation. Ready for Every Frontier AI Workload.

When NVIDIA Vera Rubin ships in H2 2026, most data centers will begin retrofitting. Cyfuture's 10 MW Liquid Cooled AI Data Center is already running. Engineered from the slab up for Blackwell, GraceBlackwell, and Vera Rubin's mandatory 100% Direct-to-Chip (D2C) cooling — no retrofit, no wait, no compromise.

10 MW

Total IT Load

Day-1 Tenant Ready

240kW+

Max Rack Density

D2C / RDHx / Hybrid

800G

Network Fabric

InfiniBand / RoCE v2

SEZ

Duty-Free Location

Zero-Rated IGST

23×

Heat Removal Efficiency

vs. Air Cooling

25%

Power Budget Reclaimed

Fans → Back to GPUs

2×

GPU Hardware Lifespan

vs. Air-Cooled Infra

<1.3

Target PUE

Industry Avg: 1.57

Air Cooling vs. Liquid Cooling Data Center
The Hard Numbers

Modern AI accelerators like NVIDIA Blackwell GB300 and Vera Rubin GPUs generate extreme heat densities that air-cooled infrastructure simply cannot manage. The physics are non-negotiable:

Metric Air Cooling Liquid Cooling (D2C)
Max Rack Density 15–20 kW (Physical Limit) Up to 240 kW+
Heat Capacity (volumetric) Baseline 3,000× greater than air
Heat Removal Efficiency 1× 23× more effective
Fan Power Waste ~25% of total power budget Eliminated — reclaimed for GPUs
Thermal Differential ~40°F (GPU junction to ambient) 10–15°F (tight, stable)
GPU Hardware Lifespan Baseline ~2× longer at D2C temps
PUE (Power Usage Effectiveness) 1.5–1.7 (industry average) <1.3 (Cyfuture target)
Vera Rubin NVL72 Support? No — no air config exists Yes — 240 kW/rack D2C ready

Why This Matters for Your GPU Investment

A $100M+ GPU cluster running in air-cooled infrastructure throttles under thermal load, degrades hardware faster, and wastes 25% of its power budget on fans. Direct-to-Chip GPU Liquid Cooling eliminates all three problems simultaneously — delivering more compute throughput, lower operating costs, and longer hardware life.

How Direct-to-Chip Cooling Works

In Direct-to-Chip (D2C) architecture, liquid coolant is delivered via OEM-specific manifolds directly to cold plates mounted on each GPU. The heat is absorbed at the chip surface — where temperatures are highest — and carried away via a closed-loop system to a Coolant Distribution Unit (CDU), which performs liquid-to-liquid heat exchange before returning cooled fluid to the rack.

Reference flow:

  • GPU Rack + Cold Plates
  • Manifold
  • CDU Zone
  • Facility Loop (Chillers/Dry Coolers)
How Direct-to-Chip Cooling Works

Reserve Your Liquid Cooled AI Data Center
Capacity Today

Secure rack space, dedicated power, and Direct-to-Chip liquid cooling for your next-generation AI infrastructure. Be ready for NVIDIA Blackwell, GB300, and Vera Rubin deployments

Reserve Capacity

10 MW Liquid Cooled Data Center
Core Infrastructure Specifications

Not retrofitted from legacy colocation. Every MEP system, cooling loop, and power path was designed around the thermal and electrical profile of modern GPU accelerators.

Parameter Specification
Total IT Load 10 MW IT capacity — phased deployment blocks available
Cooling Architecture Direct-to-Chip (D2C) liquid loops · Rear-Door Heat Exchangers (RDHx) · Hybrid air/liquid zones · Configurable CDUs and manifolds
Rack Density Range ~20 kW to 240 kW+ per rack — configured post OEM-specific thermal validation
Supported Chipsets NVIDIA H100 / H200 / B200 / B300 / GB200 / GB300 / Vera Rubin NVL72 · AMD Instinct MI300X / MI350 / MI450 · Intel Gaudi 2 & 3 · Cloud ASICs · Custom OEM racks
Network Fabric 400G/800G fabric-ready · InfiniBand NDR/XDR · RoCEv2 · Non-blocking spine-leaf · Private interconnects
Storage High-throughput NVMe · AI Dataset Lake · Parallel file systems · Object storage · Backup & archival
Power Redundancy N+1 / 2N redundancy · UPS-backed critical power · Generator backup · A+B dual-corded feeds · Branch circuit metering
Monitoring & DCIM DCIM · BMS · EPMS · Rack telemetry · Coolant temp / pressure / flow monitoring · Leak detection · GPU observability
Compliance MeitY Empanelled · ISO 27001 Controls · N+1 / 2N Resilience · SEZ-Enabled · 24×7 NOC/SOC · Sovereign AI Zone
Go-Live Date 31 October 2026 — Anchor tenant reservations open now

Rack Density Envelope by
Cooling Mode

Cooling Mode Max Rack Density Use Case
Air Cooling ≤20 kW Legacy workloads — not suitable for modern AI GPUs
Rear-Door Heat Exchanger (RDHx) ~40–60 kW Mid-density AI and HPC workloads
Direct-to-Chip (D2C) ~80–100 kW High-density GPU training clusters
Ultra-HD CDU (Cyfuture Max) 240 kW+ Validated Vera Rubin NVL72 / GB300 NVL72 / AMD Helios

One 10 MW AI Data Center Infrastructure.
Every GPU Generation.

Every GPU generation raises the power and thermal bar. Cyfuture's Liquid Cooled AI Data Center is the only facility in India engineered for Blackwell, GraceBlackwell, and Vera Rubin — without a single infrastructure change between generations.

Specification Blackwell (B200 / B300) GraceBlackwell (GB200 / GB300 NVL72) Vera Rubin NVL72 ★ H2 2026
FP4 Inference (per GPU) 9–15 PFLOPS 18–30 PFLOPS 50 PFLOPS (5× Blackwell)
GPU Memory 180–288 GB HBM3e 384–576 GB (superchip) 288 GB HBM4 · 22 TB/s BW
Rack Performance (NVL72) ~720 PFLOPS (DGX) 1.1 ExaFLOPS ~3.6 ExaFLOPS
TDP per Rack Up to ~120 kW ~120 kW (NVL72) 150–240 kW (requires 240 kW+)
Cooling Requirement Liquid strongly recommended 100% Liquid — D2C mandatory 100% LIQUID MANDATORY
Air Cooling Viable? Low density only No Absolutely Not
NVLink Generation NVLink 5 · 1.8 TB/s/GPU NVLink 5 · 130 TB/s rack NVLink 6 · 3.6 TB/s/GPU
Inference Cost (vs Blackwell) Baseline ~30× lower (NVL72) 10× lower (NVIDIA official)
Cyfuture Infrastructure Status ✓ Fully Ready ✓ Fully Ready ★ Infrastructure Ready — 240 kW/rack D2C in place
★
Vera Rubin NVL72 requires 100% Direct-to-Chip liquid cooling. No air-cooled configuration exists. Cyfuture's D2C infrastructure has been validated for 240 kW/rack from Day 1 — meaning zero retrofit delay when your Vera Rubin allocation arrives in H2 2026.
Why Vera Rubin Changes Everything

Why Vera Rubin Changes Everything

Vera Rubin is not an incremental upgrade. It is a full platform redesign that requires mandatory liquid cooling at every deployment. Key advances over Blackwell:

50 PFLOPS FP4 inference per GPU — 5× improvement over Blackwell B200
HBM4 memory at 22 TB/s bandwidth per GPU — ~2.75× over B300
NVLink 6 at 3.6 TB/s per GPU — double Blackwell's NVLink 5
~3.6 ExaFLOPS FP4 per NVL72 rack — 3× over GraceBlackwell GB300 NVL72
10× lower inference cost per million tokens vs. Blackwell (NVIDIA official projection)
Trains a 10 trillion parameter MoE model with 1/4 the GPUs vs. Blackwell, same timeframe
Vera CPU: 88 cores, 1.8 TB/s NVLink-C2C, 1.5 TB LPDDR5x — integrated superchip design

AMD MI450 / MI455X vs. Vera Rubin NVL72
Infrastructure That Handles Both

A leading Liquid Cool Data Center should not favour one chipset over another. Cyfuture's 10 MW Liquid Cooled AI Data Center is fully validated for both AMD CDNA 5 Helios and NVIDIA Vera Rubin NVL72. The same 240 kW/rack D2C loops, the same 800G fabric, the same SEZ import structure — regardless of which architecture your AI workloads demand.

Specification AMD MI350X / MI355X (Now) AMD MI450 / MI455X (H2 2026) Vera Rubin NVL72 (H2 2026)
Architecture CDNA 4 · TSMC 3nm CDNA 5 · TSMC N2 (2nm) Rubin GPU + Vera CPU · 3nm
FP4 Inference (per GPU) 18–20 PFLOPS ~40 PFLOPS 50 PFLOPS ★
Rack-Scale FP4 ~2.6 ExaFLOPS 2.9 ExaFLOPS (Helios) ~3.6 ExaFLOPS ★
GPU Memory 288 GB HBM3e 432 GB HBM4 ★ 288 GB HBM4
Memory Bandwidth 8 TB/s 19.6 TB/s 22 TB/s ★
TDP per GPU 1,000–1,400W ~1,500W ~1,500–1,600W
Cooling Requirement Air (MI350X) or D2C (MI355X) D2C Liquid Mandatory 100% D2C Mandatory
Scale-Up Fabric Infinity Fabric (8-GPU) UALink (open standard) NVLink 6 (proprietary, mature)
Cyfuture D2C Status ✓ Ready Now ✓ Ready H2 2026 ★ Ready H2 2026

GB300 NVL72 at a Glance

432 GB

HBM4 per GPU

50 PFLOPS

FP4 per GPU

240 kW

Rack Headroom

Cyfuture D2C

Vera Rubin VR200

Liquid Cool 10 MW Data Center in SEZ
The CAPEX Advantage

Cyfuture's 10 MW AI Data Center is located in a Special Economic Zone (SEZ), providing significant trade and operating benefits for AI infrastructure operators procuring high-value GPU hardware at scale.

SEZ Benefit Details
Duty-Free Imports Infrastructure, equipment, and GPU hardware for authorized operations may be imported duty-free, subject to SEZ approvals. For large GPU cluster deployments, this represents significant CAPEX savings.
Zero-Rated IGST Supplies to SEZ units are zero-rated under IGST (subject to GST law and documentation), reducing effective procurement costs for AI hardware.
No Import Licence Required The SEZ scheme eliminates the import licence requirement for authorized imports, reducing administrative friction for global GPU hardware shipments.
Customs Territory Exemption SEZs are treated as outside India's customs territory for authorized operations — improving hardware movement flexibility for global operators.
Single-Window Approval Central and state-level approval processes supported through the SEZ framework for streamlined onboarding of international AI operators.
Positive NFE Framework SEZ units achieve positive Net Foreign Exchange cumulatively over five years from commencement of services — aligning with India's export and AI policy goals.

Important Note

SEZ benefits depend on unit/developer approvals, authorized operations status, customs/GST documentation, tenant structure, and applicable law at the time of deployment. We strongly recommend engaging a legal, tax, and SEZ consultant before structuring commercial arrangements.

800G-Ready Fabric:
The Backbone for LLM Training at Scale

Compute is only as fast as the network connecting GPUs. Cyfuture's 10 MW Liquid Cooled Data Center ships with 400G/800G-ready InfiniBand and Ethernet topologies, engineered for the east-west GPU-to-GPU traffic patterns that dominate LLM training, distributed inference, and RAG workloads.

Layer Technology Options Primary Use Case
Network Fabric 400G Ethernet · 800G Fabric · InfiniBand NDR/XDR · RoCEv2 GPU-to-GPU east-west traffic for LLM training
Switching Topology Non-blocking spine-leaf · Low-latency switching · Out-of-band mgmt Consistent microsecond-range latency at cluster scale
Compute Cluster Bare Metal GPU · Managed Kubernetes · Slurm / HPC · Virtual GPU Training, inference, and HPC workloads
Storage Fabric High-throughput NVMe · AI Dataset Lake · Parallel file systems · Object storage Training data pipelines, checkpoint storage, model serving
AI Services Layer Fine-tuning platform · Inference endpoints · RAG infrastructure · Vector DB · MLOps Production AI application deployment
Security Plane Private network zones · IAM · Encryption at rest/transit · DLP · Tenant firewalls Multi-tenant isolation and compliance
Observability GPU telemetry · Job utilization · Power/cooling dashboards · DCIM · Tenant reporting Real-time operational visibility per tenant

Purpose-Built AI Infrastructure
for Every AI-First Organization

India's first 10 MW Liquid Cooled AI Data Center serves enterprises, AI labs, government, and cloud operators that need sovereign-grade AI infrastructure with the scale, density, and speed that next-generation GPU clusters demand.

Segment Infrastructure Fit
Global AI Labs & Model Builders Dedicated halls or private suites for multi-node GPU cluster LLM training, RLHF, and multimodal model development. InfiniBand NDR fabric for tight GPU coupling across NVL72 rack-scale platforms. D2C liquid cooling validated for NVIDIA B200/B300/GB300 and Vera Rubin.
Enterprise & BFSI Sovereign AI infrastructure for private RAG, risk models, fraud analytics, and compliant inferencing. India data residency within SEZ boundaries. MeitY empanelled for government and regulated workloads. Full audit trail, DLP, and encryption at rest/transit.
AI-Native SaaS & Startups GPU-as-a-Service for inference APIs, agent platforms, and embedding pipelines. Reserved clusters or managed inference endpoints with 400G low-latency fabric for peak token throughput and minimal time-to-first-token (TTFT).
Government & Public Sector MeitY-empanelled sovereign AI zones for national language AI, citizen services platforms, and secure national datasets. 100% India data residency, full audit governance, and ISO 27001 controls.
Healthcare & Life Sciences AI-driven diagnostics, drug discovery pipelines, and clinical data platforms with private, compliant infrastructure. Full data residency support for sensitive patient and genomic datasets.
Media, Gaming & Simulation High-density compute with parallel file system storage for media rendering, digital twins, video AI, and simulation workloads requiring sustained GPU throughput and high-bandwidth I/O.
Network Service Providers & MSPs Regional AI PoPs, chip reference labs, and wholesale compute capacity with technical operations support and SEZ-structured import flexibility. Establish India-market presence with zero build lead time.
Cloud OEM & Technology Partners Wholesale MW capacity blocks, managed connectivity, and chip validation environments for global cloud providers entering India's AI infrastructure market.

From One Rack to the Entire 10 MW Campus

Four deployment models designed for every stage of AI infrastructure maturity — from GPU startup to sovereign national AI programme.

Model Scale What's Included Ideal For
Rack / Cage 1–10 Racks Dedicated racks, D2C cooling, 400G fabric, metered power Startups, inference APIs, GPU-as-a-Service
Reserved MW Block 0.5–2 MW Committed power block, expansion rights, SLA-backed capacity Enterprises, AI SaaS, predictable scale
Anchor Tenant / Build-to-Suit 2–8 MW Dedicated hall, custom CDU loop, private fabric, OEM service envelope Global AI labs, hyperscalers, LLM builders
Whole-Campus Lease Full 10 MW Exclusive 10 MW campus, SEZ enclave, 30 MW expansion rights, sovereign isolation National AI programmes, hyperscalers, GPU cloud operators
Whole-Campus Lease: The Hyperscaler Option

Whole-Campus Lease: The Hyperscaler Option

For organizations that require exclusive control of an entire liquid-cooled 10 MW campus — for a national AI programme, hyperscale India deployment, or sovereign GPU cloud — Cyfuture offers single-tenant, build-to-suit whole-facility leases with:

Full 10 MW IT load — 100% of white space, power blocks, and liquid-cooled rack capacity
240 kW/rack configured to your exact GPU cluster topology (NVIDIA NVL72, AMD Helios, or custom)
Dedicated SEZ enclave — duty-free procurement of GPUs, servers, and cooling hardware at national scale
Sovereign-grade physical isolation — dedicated perimeter, biometric access, air-gapped options
First right of refusal on Phase 2 and Phase 3 expansion to 30 MW

From BoM to Production Go-Live — A Structured Technical Process

Our onboarding process ensures technical alignment before a single rack is moved. Per-rack thermal validation and FAT/SAT acceptance testing guarantee your GPU cluster is production-ready from Day 1.

Stage Activity & Deliverables
Step 1: Chipset BoM & Workload Discovery Define GPU/accelerator BoM, OEM rack specifications, TDP profile, network fabric requirements, storage sizing, and compliance posture. Includes NDA execution.
Step 2: Technical Fit-Out Design Rack drawings, power path design, cooling loops, CDU zone sizing and manifold routing, network fabric topology, and acceptance criteria per chipset BoM.
Step 3: Commercial Term Sheet MW/rack reservation, pricing model, SLA parameters, expansion rights, and SEZ operating structure and tax treatment review.
Step 4: Rack Power & Thermal Validation Per-rack validation of power draw, coolant flow, and TDP. Acceptance testing for each chipset configuration before production deployment.
Step 5: Deployment + Commissioning (FAT/SAT) Factory acceptance testing (FAT), integrated systems test (SAT), tenant acceptance sign-off, and production transition planning. Network topology validation.
Step 6: Production Operations 24×7 NOC/SOC, DCIM reporting, managed AI infrastructure services, ongoing capacity planning, and GPU refresh cycle management via the Cyfuture.ai platform.

Enterprise Governance for Mission-Critical AI Workloads

Security Domain Controls & Capabilities
Physical Security Multi-layer perimeter, mantrap entry, biometric access controls, 24×7 CCTV surveillance, visitor management, and asset chain-of-custody logging per tenant boundary.
Cybersecurity Controls Network segmentation, tenant firewalls, private interconnects, IAM and secrets management, secure remote access, and continuous vulnerability management.
Data Protection Encryption at rest and in transit. Key management options. Secure backup and deletion workflows aligned to BFSI, healthcare, and government data residency requirements.
Compliance Readiness ISO 27001 / SOC-style controls. Audit support packages. MeitY empanelment for government workloads. Data residency documentation for regulated sectors.
Tenant Transparency Real-time dashboards for power draw, cooling metrics, GPU utilization, incident tracking, SLA performance, and sustainability telemetry — per-tenant portals.
24×7 NOC / SOC Round-the-clock operations monitoring. Change management, incident response, capacity planning, and preventive maintenance for AI infrastructure criticality.
Future-Ready AI Infrastructure

Build AI Infrastructure That's Ready for the Next GPU Revolution

Deploy on infrastructure engineered for NVIDIA Blackwell, GB300, Vera Rubin, AMD Instinct, and future high-density AI workloads without expensive retrofits.

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FAQs: Liquid Cooled AI Data Center

The power of AI, backed by human support

At Cyfuture AI, we combine advanced technology with genuine care. Our expert team is always ready to guide you through setup, resolve your queries, and ensure your experience with Cyfuture AI remains seamless. Reach out through our live chat or drop us an email at [email protected] - help is only a click away.

Cyfuture's 10 MW Liquid Cooled AI Data Center was purpose-built from the ground up for AI workloads — not retrofitted from legacy colocation. Differences include: D2C liquid cooling validated up to 240 kW per rack (vs. 15–20 kW air-cooled ceiling); pre-installed 800G network fabric (InfiniBand NDR/RoCEv2) for east-west GPU traffic; and SEZ location enabling duty-free GPU hardware import with zero-rated IGST.

Air cooling is physically constrained to ~15–20 kW per rack and wastes 25% of power on fans. D2C delivers liquid coolant directly to GPU cold plates via OEM manifold connections. Water has ~3,000× the volumetric heat capacity of air, enabling 23× more effective heat removal, tighter 10–15°F thermal differentials, and rack densities up to 240 kW+. The fan power budget is reclaimed directly as GPU compute throughput.

Yes. Vera Rubin NVL72 mandates 100% liquid cooling — no air-cooled configuration for Vera Rubin exists. Cyfuture's 240 kW/rack D2C infrastructure was engineered to support this density from Day 1. The facility also supports 800G network fabric compatible with NVLink 6 and ConnectX-9 networking requirements.

Supported chipsets include NVIDIA (H100, H200, B200, B300, GB200, GB300, Vera Rubin), AMD Instinct (MI300X, MI350, MI450), Intel Gaudi (2 & 3), cloud ASICs, DPUs, and custom OEM racks. Each chipset undergoes 6-stage validation: BoM review, rack power/weight assessment, coolant flow/TDP acceptance, network topology validation, FAT/SAT testing, and production go-live.

The facility supports 400G and 800G Ethernet, InfiniBand NDR/XDR, and RoCEv2. Topology follows non-blocking spine-leaf design for east-west GPU traffic with congestion control. InfiniBand vs. Ethernet choice is tenant-defined and validated against workload requirements — LLM training typically favours InfiniBand; inference workloads often use high-speed Ethernet.

Target go-live is 31 October 2026. Anchor tenant capacity reservations are open now via a 6-stage engagement: NDA + workload discovery, technical fit-out design, commercial term sheet, thermal validation, FAT/SAT commissioning, and production operations. No commitment is required for the initial technical briefing.

Lease the Entire 10 MW Liquid Cooled AI Data Center

Gain exclusive access to a dedicated 10 MW AI campus with Direct-to-Chip liquid cooling, up to 240 kW rack density, 800G networking, SEZ advantages, and infrastructure ready for NVIDIA Blackwell, GB300, and Vera Rubin AI clusters.

Lease the Entire Campus

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