DATA CENTERS & RESEARCH INFRASTRUCTURE

Specialized Infrastructure for Data Centers & Supercomputing Halls

Patel Galaxify Solutions engineers, stages, and deploys high-density compute across India: AI/HPC GPU supercomputing nodes, non-blocking 400G InfiniBand/RoCE fabrics, parallel NVMe storage arrays, and turnkey rack containment facilities.

Pan-IndiaDC Facility Logistics
100% GenuineTier-1 OEM Hardware
400G ReadyInfiniBand & RoCE Fabrics
Turnkey DeliveryStaged & Tested Clusters
High-Density Colocation Data Center Hall with Cold-Aisle Containment and GPU Server Racks

HIGH-DENSITY DATA CENTER ROW

Cold-aisle containment, 400G fabrics & GPU supercomputing

400G Ready
SUPERCOMPUTING & DC CHALLENGES

Overcoming Density, Thermal & Throughput Barriers

Scale-out AI training and parallel research simulations push server power density, fabric latency, and storage bandwidth beyond traditional enterprise thresholds.

Extreme Power Density & Thermal Dissipation Limits

Modern AI GPU clusters draw 30kW to 100kW+ per rack, requiring specialized high-load server cabinets, intelligent 3-phase PDUs, and cold-aisle containment to eliminate hot spots and prevent thermal throttling.

Interconnect Bandwidth & East-West Latency Bottlenecks

Multi-node distributed deep learning workloads (LLM training, molecular dynamics) saturate conventional 10G/25G networks, necessitating non-blocking 400Gbps NDR InfiniBand or 400G RoCE v2 fabrics with sub-microsecond latency.

I/O Starvation on Deep Learning & Simulation Pipelines

Massive GPU clusters processing millions of checkpoints and training samples experience severe idle GPU cycles if backend storage cannot sustain hundreds of gigabytes per second in parallel All-Flash NVMe throughput.

Colocation Cage Space & Power Utilization Efficiency

Escalating per-rack colocation and power pricing demands maximum compute density per rack unit, necessitating 2U 4-node multi-sled architectures and modular GPU compute sleds over conventional single-node servers.

TAILORED SUPERCOMPUTING ARCHITECTURES

High-Density Infrastructure for Research & Cloud

Four specialized infrastructure pillars delivering sustained computational density, sub-microsecond interconnects, and scalable parallel I/O.

Facility Physical Infrastructure42U / 48U High-Density Rack Enclosures

Turnkey Server Rack Infrastructure & Thermal Containment

Turnkey colocation and server hall physical infrastructure: high-capacity heavy-duty racks (1500kg+ dynamic load rating), intelligent 3-phase metered/switched PDUs, and modular aisle containment.

Key Technical Specifications:

42U to 48U server enclosures with 80%+ perforated mesh doors maximizing airflow for high-density compute
Intelligent 3-phase 32A/63A vertical PDUs with per-outlet power metering, remote reboot, and environmental sensor probes
Modular cold-aisle / hot-aisle containment panels isolating supply and exhaust air to eliminate hot spots and optimize PUE
In-rack seismic floor anchoring, redundant overhead cable containment baskets, and integrated high-density fiber management

Representative OEM Hardware:

Vertiv VR Racks / Geist PDUs, Schneider Electric APC NetShelter SX, Eaton RS Enclosures

Extreme Compute Density4U / 8U Liquid & Air-Cooled GPU Servers

AI & Scientific GPU Supercomputing Nodes

Enterprise GPU compute nodes purpose-built for large language model (LLM) training, physics simulation, genomics, and computational fluid dynamics (CFD).

Key Technical Specifications:

Up to 8× NVIDIA HGX H100 / H200 or AMD Instinct MI300X GPUs interconnected via 900GB/s NVLink / Infinity Fabric
Dual Intel Xeon Scalable or AMD EPYC processors with up to 2TB–4TB DDR5 high-speed system memory
8× Dedicated PCIe Gen5 OSFP network adapters for 400Gbps NDR InfiniBand / 400GbE per node
Redundant 3000W–3300W Titanium hot-swap power supplies with N+N power distribution architecture

Representative OEM Hardware:

Dell PowerEdge XE9680, Supermicro GPU SuperServer SYS-821GE, HPE Cray / Apollo XD6500

Ultra-Low-Latency Interconnect1U 32-Port / 64-Port 400G Switches

400G Non-Blocking InfiniBand & Spine-Leaf Network Fabrics

Ultra-high-throughput, ultra-low-latency spine-leaf network switching fabrics engineered for distributed GPU cluster scaling and parallel storage communication.

Key Technical Specifications:

400Gbps per port (NDR InfiniBand or 400GbE RoCE v2) with non-blocking full-bisection switching capacity
Hardware-accelerated collective offloads (SHARP - Scalable Hierarchical Aggregation and Reduction Protocol)
Priority Flow Control (PFC) and Explicit Congestion Notification (ECN) ensuring zero packet loss on RoCE storage fabrics
Dual hot-swap power supplies and reversible port-to-power / power-to-port airflow matching rack containment designs

Representative OEM Hardware:

NVIDIA Quantum-2 QM9700 Series, Arista 7060X / 7050X Series, Cisco Nexus 9300 / 9500

High-Throughput Parallel File Systems2U High-Density NVMe Storage Arrays

Parallel All-Flash NVMe Storage Clusters

High-bandwidth parallel storage architecture engineered to feed GPU compute clusters without I/O starvation, utilizing NVMe-oF, Lustre, IBM Spectrum Scale (GPFS), or Ceph.

Key Technical Specifications:

Sustained multi-gigabyte/sec read/write throughput (scaling to 100GB/s+ per tier) with microsecond response times
All-Flash PCIe Gen5 NVMe dual-port enterprise SSDs delivering millions of random IOPS for small-file training datasets
Native support for RDMA (NVIDIA GPUDirect Storage) enabling direct DMA transfers between storage NVMe and GPU memory
Scalable scale-out architecture supporting independent performance tier expansion and high-capacity SAS archival tiers

Representative OEM Hardware:

Dell PowerScale / PowerStore NVMe, NetApp EF-Series / AFF A-Series, VAST Data Universal Storage

STRUCTURED DEPLOYMENT PROCESS

Facility Assessment to Turnkey Production

A comprehensive 6-stage lifecycle ensuring high-density computing clusters meet thermal specifications, fabric reliability, and mission-critical SLAs.

01

Facility Constraints & Workload Dimensioning Audit

We audit your colocation hall power envelopes (kW per rack), floor loading limits, aisle cooling airflow CFM, and compute requirements (CUDA cores, memory bandwidth, network fabric).

02

Cluster Architecture Formulation & Thermal Modeling

Our data center solutions architects design non-blocking spine-leaf network topologies, calculate PDU phase balancing, and model thermal heat loads across rack rows.

03

Authorized Distribution Sourcing & Serialized Tracking

Procuring 100% genuine Tier-1 enterprise hardware directly from authorized national distribution channels with official GST invoices and registered OEM warranties.

04

Staging, InfiniBand Burn-In & Fabric Validation

Unboxing, rail installation, updating switch and server firmware to validated enterprise releases, configuring RoCE/InfiniBand fabrics, and running 72-hour stress testing prior to dispatch.

05

Insured Transit & Direct Colocation Delivery

Coordinating insured freight delivery with specialized shock-mounted packaging directly into colocation cages or research data centers across India with valid e-way bills.

06

Mission-Critical AMC SLAs & Dedicated Buffer Spares

Providing comprehensive Annual Maintenance Contracts (AMC) backed by localized buffer spares in Bengaluru and Jaipur, offering 24×7 4-hour on-site engineering response.

FREQUENTLY ASKED QUESTIONS

Data Center & Supercomputing FAQs

Clear answers regarding colocation equipment procurement, high-density GPU power distribution, 400G fabrics, and GPUDirect Storage.

Does Patel Galaxify Solutions own data center real estate, or provide the equipment for client facilities?

Patel Galaxify Solutions is an enterprise IT infrastructure hardware supplier, system integrator, and technology procurement partner. We do not operate proprietary commercial colocation real estate. Instead, we design, procure, stage, deploy, and maintain the physical IT hardware—including server racks, intelligent PDUs, high-density GPU supercomputers, 400G switching fabrics, and NVMe storage clusters—inside our clients' own private enterprise data centers or rented colocation cages (such as Equinix, NTT, Sify, or CtrlS).

How do you address the extreme power and cooling requirements of 8-GPU AI supercomputing nodes?

An 8-GPU node (such as an NVIDIA HGX H100 system) can consume up to 10.2kW individually. Sizing a cluster requires distributing electrical loads across 3-phase 32A or 63A intelligent vertical PDUs to avoid phase unbalance. Thermally, we deploy modular cold-aisle containment systems that prevent hot exhaust air from recirculating into server intake vents, ensuring reliable operation within the facility's ASHRAE-recommended thermal envelope.

What is the difference between 400G NDR InfiniBand and 400G RoCE v2 for scientific computing clusters?

NVIDIA Quantum-2 NDR InfiniBand is purpose-built for high-performance computing, providing sub-microsecond point-to-point latency, credit-based hardware flow control, and in-network computing (SHARP) that offloads collective communication algorithms directly to the switch silicon. RoCE v2 (RDMA over Converged Ethernet) achieves similar high-throughput RDMA transfers over standard Ethernet hardware using Priority Flow Control (PFC) and Explicit Congestion Notification (ECN) to guarantee a lossless fabric.

How does GPUDirect Storage (GDS) accelerate deep learning pipelines compared to standard NFS storage?

Standard file access requires data to traverse the host CPU memory buffer (bounce buffer) before reaching the GPU, creating a massive CPU and PCIe latency bottleneck. NVIDIA GPUDirect Storage (GDS) establishes a direct DMA (Direct Memory Access) path between NVMe storage adapters and the GPU's High Bandwidth Memory (HBM) over the PCIe fabric, eliminating CPU overhead, doubling storage throughput, and reducing I/O latency by up to 70%.

What support models and buffer stock guarantees are available for enterprise colocation clusters and research labs?

We offer comprehensive Annual Maintenance Contracts (AMC) featuring 24×7 4-hour mission-critical on-site SLAs for data centers in key metropolitan hubs (Bengaluru, Mumbai, Delhi-NCR, Hyderabad, Chennai, Pune). We maintain dedicated localized buffer stocks—including high-wattage power supplies, switch power modules, optical transceivers, cables, and enterprise NVMe drives—to ensure rapid replacement without waiting for factory shipments.
DATA CENTER INFRASTRUCTURE SOURCING

Scale Your Colocation & Supercomputing Facility

Collaborate with our data center infrastructure architects to size high-density GPU supercomputers, engineer non-blocking 400G network fabrics, and deploy turnkey aisle containment solutions.