When Vera Rubin ships, most data centers will start retrofitting. Ours will already be running. India's only 10 MW Liquid Cooled Data Center engineered for Blackwell, GraceBlackwell — and purpose-built for Vera Rubin's mandatory 100% Direct-to-Chip cooling. No retrofit. No wait. No compromise.
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| Stat | Label |
|---|---|
| 10 MW | IT Load Capacity — Day-1 Tenant Ready |
| 240 kW+ | Max Rack Density — D2C / RDHx / Hybrid |
| 800G | Network Fabric — InfiniBand / RoCE |
| SEZ | Duty-Free Location — Zero-Rated IGST |
Traditional air cooling reaches its practical limit at 15–20 kW per rack, creating a bottleneck for modern AI and HPC workloads. Water possesses approximately 3,000× greater volumetric heat capacity than air, enabling significantly more efficient thermal management. Cyfuture’s Liquid-to-Liquid CDU architecture removes heat up to 23× more effectively, reclaiming valuable power previously consumed by cooling systems and redirecting it to GPU performance.
Liquid-to-Liquid CDU architecture delivers heat removal capabilities that are physically unattainable with conventional air cooling, supporting rack densities of up to 240 kW+.
Power previously consumed by high-speed cooling fans is redirected toward compute performance, increasing GPU utilization and accelerating AI training throughput.
Maintaining a tight 10–15°F thermal differential, compared to approximately 40°F in air-cooled environments, significantly lowers junction temperatures and extends GPU operational life.
Benefit from duty-free GPU hardware imports and zero-rated IGST through our Special Economic Zone (SEZ) location, reducing infrastructure acquisition costs.
Understanding Air Cooling vs Liquid Cooling Data Center Cost starts with understanding rack density limits.
| Cooling Mode | Max Rack Density | Notes |
|---|---|---|
| Air Cooling | ≤ 20 kW | Physical limit — insufficient for modern AI GPUs |
| Rear-Door Heat Exchanger (RDHx) | ~40–60 kW | Mid-density hybrid option |
| Direct-to-Chip (D2C) | ~80–100 kW | Standard GPU Liquid Cooling configuration |
| Ultra-HD CDU (Cyfuture Max) | 240 kW+ validated | Built for Vera Rubin NVL72 |
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.
| Specification | Detail |
|---|---|
| Total IT Load | 10 MW — scalable in phased deployment blocks |
| Cooling Architecture | Direct-to-Chip (D2C) loops · Rear-Door Heat Exchangers (RDHx) · Hybrid air/liquid zones · Configurable CDUs and manifolds |
| Rack Density | ~20 kW to 240 kW+ per rack — configurable post OEM thermal validation |
| GPU/Chipset Support | NVIDIA (H100/H200/B200/B300/Vera Rubin NVL72) · AMD Instinct · Intel Gaudi · Cloud ASICs · Custom OEM racks |
| Tenant Formats | Private suite · Secure cage · Dedicated hall · GPU cluster pod · Managed GPU cloud |
| Network Fabric | 400G/800G fabric-ready · InfiniBand NDR/XDR or Ethernet · Non-blocking spine-leaf · RoCEv2 |
| Power Resilience | N+1 / 2N redundancy · UPS-backed · Generator backup · A+B dual-corded feeds |
| Monitoring | DCIM · BMS · EPMS · Rack telemetry · Coolant temp/pressure/flow · Leak detection · GPU observability |
Cyfuture's 10 MW Direct-to-Chip Cooling infrastructure is validated for all leading AI accelerators — today and tomorrow.
| Chipset | Status |
|---|---|
| NVIDIA H100 / H200 / B200 / B300 / Vera Rubin NVL72 | ● READY |
| AMD Instinct MI300X / MI350 / MI450 | ● READY |
| Intel Gaudi 2 / Gaudi 3 | ● READY |
| Cloud ASICs / Inference Chips / Custom OEM | ● VALIDATED |
Vera Rubin NVL72 delivers 50 PFLOPS FP4, 288 GB HBM4, NVLink 6 at 3.6 TB/s, and approximately 3.6 ExaFLOPS per rack. It mandates 100% liquid cooling. Cyfuture's 240 kW/rack Direct-to-Chip (D2C) infrastructure is already Vera Rubin-ready — with no retrofit required when your allocation arrives in H2 2026.
Every GPU generation raises the power and thermal bar. Cyfuture's Liquid Cooled AI Data Center is the only Indian high-density colocation facility engineered for all three generations without a single infrastructure change.
| Feature | Blackwell (Now) | GraceBlackwell (Now) | Vera Rubin (H2 2026) |
|---|---|---|---|
| FP4 Inference | 9–15 PFLOPS/GPU | 18–30 PFLOPS/GPU | 50 PFLOPS/GPU |
| GPU Memory | 180–288 GB HBM3e | 384–576 GB HBM3e | 288 GB HBM4 |
| Rack Performance | ~720 PFLOPS | 1.1 ExaFLOPS NVL72 | ~3.6 ExaFLOPS NVL72 |
| Rack Power | Up to ~120 kW | ~120 kW (liquid) | ~150–240 kW |
| Cooling Requirement | Liquid recommended | 100% Liquid Required | 100% LIQUID MANDATORY |
| Inference Cost | Baseline | ~30× lower vs H100 | 10× lower vs Blackwell |
| Cyfuture Status | ✓ FULLY READY | ✓ FULLY READY | INFRASTRUCTURE READY |
Vera Rubin trains a 10 trillion parameter MoE model with ¼ the GPUs of Blackwell while maintaining the same speed. The infrastructure bottleneck is the only thing that can slow you down. Remove it now.
Our SEZ location provides AI operators with significant trade and operating advantages — reducing the total cost of deploying a Liquid Cooled 10 MW Data Center in India.
Infrastructure, equipment, and goods for authorized operations may be imported duty-free, including GPU hardware — subject to approvals.
Supplies to SEZ units are zero-rated under IGST, subject to GST law and appropriate documentation.
The SEZ scheme features no import licence requirement for authorized imports, reducing friction for global hardware shipments.
SEZs are treated as outside India's customs territory for authorized operations — improving hardware movement flexibility.
Streamlined central and state-level approval processes through the SEZ framework.
Units achieve positive Net Foreign Exchange cumulatively over five years from commencement of services.
SEZ benefits are subject to unit/developer approvals, authorized operations, customs/GST documentation, and current law. Legal, tax, and SEZ consultant review is recommended before structuring commercial arrangements.
Global AI Labs & Model Builders
Train frontier LLMs, run RLHF, and generate synthetic data on dedicated high-density halls — with Direct-to-Chip GPU Liquid Cooling validated for B200/B300/Vera Rubin NVL72.
Enterprises & BFSI
Deploy sovereign AI, private RAG, fraud analytics, and compliant inferencing on private cloud infrastructure — MeitY empanelled, ISO 27001 aligned, India data residency assured.
AI-Native SaaS & Startups
Run inference APIs, agent platforms, chat/voice workloads, and embedding pipelines on GPU-as-a-Service or reserved clusters. Scale as you grow.
Government & Public Sector
Host language AI, citizen services, national datasets, and secure data platforms in India-hosted sovereign zones — fully managed and compliant under MeitY empanelment.
Healthcare & Life Sciences
Enable AI-driven diagnostics, drug discovery pipelines, and clinical data platforms with private, compliant infrastructure and data residency support.
Media, Gaming & Simulation
Power rendering, digital twins, video AI, and high-throughput production pipelines with high-density compute and fast parallel storage.
Network Service Providers & MSPs
Establish regional AI PoPs, chip reference labs, and wholesale compute capacity with SEZ-structured import flexibility and technical operations support.
Technology & Cloud OEM Partners
Expand India-market reach, reduce multicloud complexity, and deploy AI inference closer to users with configurable cages and managed connectivity.
Tenant-specific hall with dedicated cooling loop, custom network architecture, and purpose-built MEP systems configured around your GPU BoM. Includes dedicated power block, custom CDU, private interconnects, and OEM service envelope.
MW or rack-block reservations with contractual expansion rights. Predictable capacity without greenfield lead-time risk. Lock in 2026 pricing now. MW-level commitments, phased deployment, SLA-backed power.
Full-stack AI — bare metal GPU + managed Kubernetes + MLOps + inference endpoints on dedicated hardware in the SEZ AI Data Center. Includes GPU telemetry, observability, and managed Kubernetes/Slurm.
Colocation infrastructure plus managed GPU cluster tier plus the Cyfuture.ai software stack — for mixed workloads requiring both physical control and platform services. Your hardware, our operations, sovereign AI zone.
For hyperscalers, sovereign AI programmes, and global AI labs — lease the entire 10 MW campus as a single-tenant facility. Full 10 MW IT load exclusively yours, with SEZ enclave, 240 kW/rack across every row, and expansion rights to 30 MW.
Define GPU/accelerator BoM, TDP profile, network fabric requirements, storage sizing, and compliance posture.
Rack drawings, cooling loops, CDU zone sizing, manifold routing, network topology, and acceptance criteria definition per chipset.
MW/rack reservation, pricing model, SLA finalization, expansion rights, and SEZ operating structure review.
Per-rack validation of power draw, coolant flow, and TDP. Acceptance testing per chipset configuration before production deployment.
Factory Acceptance Testing, integrated systems test, tenant sign-off, and production transition planning.
24×7 NOC/SOC, DCIM reporting, managed AI infrastructure services, and GPU refresh cycle management.
Physical Security
Multi-layer perimeter, mantrap entry, biometric access, 24×7 CCTV, visitor management, and asset chain-of-custody logging per tenant boundary.
Cybersecurity Controls
Network segmentation, tenant firewalls, private links, IAM, secrets management, 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 center monitoring, change management, incident response, capacity planning, and preventive maintenance.
B200/B300 · Up to 15 PFLOPS FP4 · 240 kW max rack · Liquid cooling preferred.
✓ Cyfuture Status: Fully validated. Deployable Day 1 at go-live.
GB200/GB300 NVL72 · 18–30 PFLOPS FP4 · 1.1 ExaFLOPS/rack · 100% liquid cooling required.
✓ Cyfuture Status: D2C cooling exceeds NVL72 requirements.
Rubin NVL72 · 50 PFLOPS FP4 · ~3.6 ExaFLOPS/rack · 240 kW mandatory · 100% liquid cooling
mandatory.
★ Cyfuture Status: 240 kW/rack D2C infrastructure already deployed. No retrofit needed.
~100 PFLOPS FP4 · 144 GPUs/rack · NVLink 7 · Kyber rack (600 kW).
Cyfuture's modular phased infrastructure is engineered for successive GPU generations — no stranded
investment.
Cyfuture's 10 MW Liquid Cooled AI Data Center was purpose-built from the ground up for AI workloads—not retrofitted from legacy colocation. Direct-to-Chip cooling loops support up to 240 kW per rack compared with the 15–20 kW ceiling of air-cooled environments. An 800G network fabric is pre-installed for east-west GPU traffic, while the SEZ location enables duty-free GPU hardware imports with zero-rated IGST. No retrofit is required for current or next-generation GPU platforms.
Air cooling is physically constrained to approximately 15–20 kW per rack and consumes significant power through fans. Direct-to-Chip (D2C) cooling delivers liquid coolant directly to GPU cold plates. Water has nearly 3,000× the volumetric heat capacity of air, enabling up to 23× more effective heat removal, tight 10–15°F thermal differentials, and rack densities up to 240 kW+. This translates into higher GPU throughput, lower throttling, and longer hardware life.
While liquid cooling infrastructure carries a higher upfront cost, total cost of ownership favors liquid cooling for AI workloads. Benefits include approximately 25% power savings from reduced fan loads, up to 2× GPU hardware lifespan, improved PUE targets below 1.3, and an estimated 20% CAPEX advantage through SEZ-enabled hardware procurement and duty-free imports.
The facility supports NVIDIA H100, H200, B200, B300, GB200, GB300, and Vera Rubin NVL72; AMD Instinct MI300X, MI350, and MI450; Intel Gaudi 2 and Gaudi 3; along with cloud ASICs and custom OEM racks. Every platform undergoes a six-stage validation process including BoM review, thermal and coolant validation, and FAT/SAT commissioning.
Yes. Vera Rubin NVL72 requires 100% liquid cooling. Cyfuture's 240 kW/rack Direct-to-Chip infrastructure was engineered specifically for this density. The 800G network fabric is compatible with NVLink 6 and ConnectX-9 networking requirements, ensuring no infrastructure gap when allocations arrive in H2 2026.
The SEZ framework provides duty-free authorized imports, zero-rated IGST, no import licence requirements, and streamlined approval processes. For large GPU deployments, these benefits can represent approximately 20% lower capital expenditure. Benefits remain subject to applicable regulations and approvals.
The target go-live date is 31 October 2026. Anchor tenant reservations are currently open. No commitment is required for an initial technical briefing. Contact [email protected] to begin the structured onboarding process.
