High Performance Computing India

Custom HPC Hardware
Solutions for India

End-to-end HPC cluster design, hardware supply, and deployment for Indian research institutions, IITs, government labs, and enterprise R&D teams. Intel Xeon, AMD EPYC, NVIDIA GPU nodes, InfiniBand fabric, and parallel file systems — all configured and running before we leave your site.

Our Infrastructure Expertise

7+ Yrs
Infrastructure Experience
100+
Enterprise Clients
1000+
Servers Delivered
3+
Countries Served

Why Choose Serverwale for HPC Infrastructure

We are one of India's very few vendors with end-to-end HPC deployment capability — from hardware procurement to SLURM scheduler configuration and user training.

IIT & CSIR Reference Deployments

Serverwale has deployed HPC infrastructure for premier Indian research institutions. We understand the procurement, compliance, and performance requirements of government-funded projects.

End-to-End Project Ownership

We handle hardware, networking, OS, scheduler, parallel file system, MPI configuration, benchmarking, and user training — you get a cluster that works, not a pile of hardware.

InfiniBand Expertise

Very few Indian vendors have hands-on InfiniBand (HDR/EDR/HDR100) deployment experience. Our engineers are trained on NVIDIA Mellanox UFM, subnet managers, and adaptive routing.

Pan-India On-Site Deployment

We deploy HPC clusters across India — Delhi, Mumbai, Bangalore, Chennai, Hyderabad, Pune, and any tier-2 city with prior arrangement. No remote-only setups.

AMC & Ongoing Support

Post-deployment Annual Maintenance Contracts covering hardware failures, OS updates, SLURM upgrades, and 8×5 or 24×7 support SLAs.

Researcher Training Included

Every HPC deployment includes training for end-users: job submission with SLURM/PBS, module system usage, MPI best practices, and GPU job configuration.

HPC Use Cases We Serve

From AI research to drug discovery — Indian institutions trust Serverwale HPC clusters for compute-intensive scientific workloads.

AI & Deep Learning Research

GPU-accelerated HPC clusters for training large models, NLP, computer vision, and scientific AI. NVIDIA A100/H100 nodes with NVLink and InfiniBand.

Computational Fluid Dynamics

CPU/GPU clusters for CFD simulations using OpenFOAM, ANSYS Fluent, and STAR-CCM+. Essential for aerospace, automotive, and civil engineering.

Molecular Dynamics & Drug Discovery

GROMACS, AMBER, NAMD accelerated clusters for pharmaceutical R&D, protein folding, and materials science simulations.

Climate & Weather Modelling

Multi-node MPI clusters for WRF, CESM, and ECMWF model runs. Configured for meteorology, oceanography, and climate research institutions.

Big Data & Genome Sequencing

High-memory nodes for bioinformatics pipelines (BWA, GATK, SPAdes), NGS data analysis, and large-scale genomics research.

University & IIT Research Clusters

End-to-end HPC cluster design for IITs, NITs, CSIR labs, and central universities. SLURM scheduling, user management, and training included.

Standard HPC Cluster Configurations

Starting points — every cluster is customised to your workload, space, power, and budget. All prices include hardware, racking, OS, scheduler, and basic software stack setup.

Cluster TierProcessor per NodeRAM per NodeInterconnectStorageIndicative Price
HPC Entry Cluster (8 nodes)2× Intel Xeon Silver 4314256GB DDR4 ECC / node25GbE RoCE100TB NAS (NFS)–25 lakh
HPC Research Cluster (32 nodes)2× AMD EPYC 7543 / node512GB DDR4 ECC / nodeHDR100 InfiniBand500TB Lustre / BeeGFS–1.2 crore
GPU HPC Cluster (16 nodes)2× Intel Xeon Gold 6338 + 4× A1001TB DDR4 ECC / nodeHDR200 InfiniBand + 100GbE1PB parallel FS–6 crore
Petascale Research ClusterAMD EPYC 9654 (2P)3TB DDR5 / nodeNDR400 InfiniBandLustre 10PB+Custom quote

Frequently Asked Questions — Custom HPC Solutions India

Ready to Deploy Your HPC Cluster?

Share your workload requirements — simulation type, node count, budget, and timeline. Our HPC engineers will send a detailed proposal within 48 hours.

Call: +91 87962 44410  |  Pan-India HPC Deployment  |  3-Year On-site Warranty

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