Which GPUs are best for medical imaging AI?

NVIDIA RTX 6000 and RTX 5000 GPUs are ideal for medical imaging AI, while data center GPUs like L40S handle larger clinical workloads.

Do you support drug discovery workloads?

Yes. We supply NVIDIA data center GPUs and clusters used for molecular dynamics and AI-driven drug discovery.

Can you help with HIPAA-compliant infrastructure?

We provide the hardware layer for HIPAA-compliant environments; your infrastructure team configures the software and compliance stack.

Healthcare & Life Sciences

GPU Computing for Healthcare & Life Sciences

Accelerate medical imaging, drug discovery and genomics with authentic enterprise GPUs.

RTX 6000

Medical imaging GPU

DGX-class

Drug discovery compute

100%

Authentic hardware

Healthcare & Life Sciences

Enterprise AI Solutions for Healthcare & Life Sciences

Servchip powers healthcare and life sciences innovation with GPU-accelerated hardware for medical imaging AI, drug discovery, genomics and clinical research. We supply NVIDIA RTX and data center GPUs to hospitals, pharma companies and research labs.

Brands

Trusted Brands

Leading brands powering Healthcare & Life Sciences deployments

NVIDIA

AMD

Intel

Dell Technologies

Products

Hardware for Healthcare & Life Sciences

AI accelerators, servers, networking and storage suited to your workloads

Pre-Order

NVIDIA GB200 Grace Blackwell Superchip

Flagship superchip combining Grace CPU with dual Blackwell GPUs via NVLink 5.0 for trillion-parameter AI workloads.

ArchitectureBlackwell

Memory384GB HBM3e + 480GB LPDDR5X

TDP1000W

Pre-Order

NVIDIA B300 Tensor Core GPU

Next-generation Blackwell GPU with 288GB HBM3e memory and native FP4 tensor core support for generative AI.

ArchitectureBlackwell

Memory288GB HBM3e

TDP900W

Pre-Order

NVIDIA B200 Tensor Core GPU

Flagship Blackwell GPU with 384GB HBM3e memory and 10 TB/s bandwidth for extreme-scale AI.

ArchitectureBlackwell

Memory384GB HBM3e

TDP1000W

In Stock

NVIDIA H200 Tensor Core GPU

Advanced Hopper GPU with 141GB HBM3e memory and 4.8 TB/s bandwidth for large model inference.

ArchitectureHopper

Memory141GB HBM3e

TDP700W

In Stock

NVIDIA H100 Tensor Core GPU

Industry-standard AI training GPU with 80GB HBM3 and 3.35 TB/s bandwidth in SXM5 form factor.

ArchitectureHopper

Memory80GB HBM3

TDP700W

In Stock

NVIDIA L40S GPU

Versatile data center GPU with 48GB GDDR6 ECC memory for AI inference, graphics, and video.

ArchitectureAda Lovelace

Memory48GB GDDR6 ECC

TDP350W

In Stock

NVIDIA L4 GPU

Energy-efficient data center GPU with 24GB GDDR6 for AI inference, edge computing, and video.

ArchitectureAda Lovelace

Memory24GB GDDR6

TDP72W

In Stock

NVIDIA A100 Tensor Core GPU

Industry-defining data center GPU with 80GB HBM2e and 3rd-gen Tensor Cores for AI training and HPC.

ArchitectureAmpere

Memory80GB HBM2e

TDP300W (PCIe) / 400W (SXM4)

In Stock

NVIDIA A30 GPU

Mainstream AI training and inference GPU with 24GB HBM2e and MIG for balanced enterprise deployments.

ArchitectureAmpere

Memory24GB HBM2e

TDP300W

In Stock

NVIDIA A10 GPU

Versatile data center GPU with 24GB GDDR6 for AI inference, graphics, and video analytics.

ArchitectureAmpere

Memory24GB GDDR6

TDP150W

Limited

NVIDIA V100 Tensor Core GPU

Pioneering Tensor Core GPU with 32GB HBM2 memory that revolutionized deep learning training.

ArchitectureVolta

Memory32GB HBM2

TDP300W

In Stock

NVIDIA T4 GPU

Energy-efficient inference GPU with 16GB GDDR6 for ML inference, video transcoding, and VDI workloads.

ArchitectureTuring

Memory16GB GDDR6

TDP70W

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FAQ

Frequently Asked Questions — Healthcare & Life Sciences

Build for Healthcare & Life Sciences

Talk to our engineers about reference architectures and hardware for healthcare & life sciences workloads.

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