Industry-Specific AI Computing Solutions
From enterprise AI to healthcare, automotive, and government — we architect complete solutions using NVIDIA, AMD, and Intel chips tailored to your industry's unique data center compute, compliance, and scale requirements.
Industry-Specific AI Computing Solutions
From enterprise AI to healthcare and research — we architect complete solutions using NVIDIA, AMD, and Intel chips tailored to your data center needs.
Enterprise AI
Build and scale enterprise AI platforms with NVIDIA H100/H200 clusters, AMD MI300X, and production-grade data center infrastructure for LLM training and inference.
Research & HPC
Power scientific discovery with NVIDIA Grace Hopper superchips and exascale server computing for climate simulations, drug discovery, and genomics.
Startups & Scaleups
Accelerate your AI startup with cost-effective NVIDIA L40S/L4 and AMD MI210 inference server clusters and flexible semiconductor procurement options.
Healthcare & Life Sci
Deploy AI-powered medical imaging, genomics analysis, and biomedical AI on certified NVIDIA and AMD enterprise hardware.
Solutions by Industry
Eight specialized verticals — from enterprise AI and HPC to healthcare and defense — each backed by certified NVIDIA, AMD, and Intel engineering expertise and proven data center reference architectures.
Automotive
Develop autonomous driving systems with NVIDIA DRIVE Thor and DRIVE Orin server SoCs — ASIL-D safety, multi-modal AI.
- ADAS / AD stack
- Multi-modal perception
- Digital twins
- Fleet AI
Financial Services
Accelerate quant modeling, risk analytics, and fraud detection with low-latency NVIDIA and AMD GPU server clusters and NVLink fabrics.
- Quant modeling
- Risk analytics
- Fraud detection
- High-frequency trading
Government & Defense
Secure, on-prem NVIDIA and AMD server deployments for defense AI, intelligence analysis, and sovereign data center infrastructure.
- Sovereign cloud
- Air-gapped deploy
- Confidential computing
- Multi-level security
Proven in Production
Real-world enterprise chip deployments from leading Indian enterprises and research institutions — featuring NVIDIA, AMD, and Intel server hardware.
Tata Research Labs Scales 70B-parameter LLM Training
Deployed an 8-node H100 SXM5 cluster to train a domain-specific 70B-parameter LLM, cutting training time from 12 weeks to 18 days.
IISC Bangalore Powers Climate Modeling on GH200
Grace Hopper superchip cluster enables 4x higher-resolution regional climate models, predicting monsoon patterns with greater accuracy.
Reliance Jio Deploys Medical Imaging AI at Scale
L40S inference cluster serves 14,000 simultaneous medical image analyses across 230 hospitals with sub-second latency.
What Our Clients Say
“Servchip delivered our H100 cluster ahead of schedule. Their technical team helped us configure NVLink for optimal AI training throughput. Exceptional support throughout.”
“We needed 200 GPUs for our rendering farm across multiple vendors. Servchip sourced NVIDIA, AMD, and Intel options within 3 weeks at competitive pricing. Every card tested and documented.”
“The engineering consultation saved us from a costly architecture mistake. Their team's deep multi-vendor knowledge is unmatched. Long-term partner for sure.”
“Outstanding logistics and support for our overseas deployment. Servchip handled customs, documentation, and on-site configuration across multiple chip vendors. Truly enterprise-grade service.”
“Servchip helped us migrate from legacy inference hardware to NVIDIA L40S GPUs. The perf-per-watt improvement was 3x, and their engineering team handled the entire CUDA migration. Saved us months of trial and error.”
“As a cloud provider, we needed reliable access to AMD EPYC processors and Instinct accelerators. Servchip's volume pricing and consistent supply chain have been instrumental in scaling our AI cloud infrastructure across three continents.”