Industry-Specific AI Computing Solutions
From enterprise AI to healthcare, automotive, and government — we architect complete NVIDIA-based solutions tailored to your industry's unique compute, compliance, and scale requirements.
Industry-Specific AI Computing Solutions
From enterprise AI to healthcare and research — we architect complete NVIDIA-based solutions tailored to your industry needs.
Enterprise AI
Build and scale enterprise AI platforms with H100/H200 clusters, MLOps pipelines, and production-grade infrastructure.
Research & HPC
Power scientific discovery with Grace Hopper superchips and exascale computing for simulations and data analysis.
Startups & Scaleups
Accelerate your AI startup with cost-effective L40S/L4 inference clusters and flexible procurement options.
Healthcare & Life Sci
Deploy Clara-enabled medical imaging, genomics analysis, and biomedical AI on certified NVIDIA hardware.
Solutions by Industry
Eight specialized verticals, each backed by NVIDIA-certified engineering expertise and proven reference architectures.
Automotive
Develop autonomous driving systems with DRIVE Thor and DRIVE Orin 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 GPU clusters and NVLink fabrics.
- Quant modeling
- Risk analytics
- Fraud detection
- High-frequency trading
Government & Defense
Secure, on-prem NVIDIA deployments for defense AI, intelligence analysis, and sovereign cloud infrastructure.
- Sovereign cloud
- Air-gapped deploy
- Confidential computing
- Multi-level security
Proven in Production
Real-world deployments from leading Indian enterprises and research institutions.
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 32 NVIDIA H100 GPUs within 3 weeks, fully tested and documented. Their team's deep expertise in NVIDIA architecture helped us optimize our LLM training pipeline, cutting training time by 40%.”
“We needed a reliable partner for our Grace Hopper supercomputer. Servchip's engineers understood the GH200 architecture inside-out and provided a deployment plan that saved us months of integration work.”
“For our nationwide inference infrastructure, we needed 200+ L40S GPUs with rapid deployment. Servchip executed flawlessly with staged deliveries and on-site support.”
“Servchip provided Jetson AGX Orin modules for our edge genomics pipeline. Their edge AI team helped us optimize TensorRT models, achieving 5x faster inference.”