Accelerate your most demanding AI, HPC, and deep learning workloads with datacenter-class
The NVIDIA Tesla V100S 32GB HBM2 delivers uncompromising AI and deep learning performance for professional workstations. With 32GB of high-bandwidth memory, this compute powerhouse accelerates the most demanding GPU computing workloads. Purpose-built for data scientists and AI researchers who refuse to compromise.
32GB HBM2 Memory
High-performance memory with very high bandwidth, ideal for training complex neural networks and high-performance computing.
Tensor Core Architecture
Specially designed for AI training and inference at mixed precision at an unprecedented level
NVIDIA Tesla V100S 32GB HBM2 AI Professional Graphics Card - GPU Computing & Deep Learning
Built for the compute-intensive frontier
The NVIDIA Tesla V100S graphics card is based on the NVIDIA Volta architecture to deliver exceptional performance in scientific computing, artificial intelligence research and enterprise deep learning deployments. Featuring second-generation Tensor Cores and 32 GB of ultra-fast HBM2 memory, this professional accelerator card can handle vast volumes of data.
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1134 Go/s
Memory bandwidth
The Full Picture.
Computing power dedicated to artificial intelligence and scientific research
The NVIDIA Tesla V100S 32GB HBM2 represents the pinnacle of GPU acceleration for the most demanding professional environments. Equipped with 32 GB of high-bandwidth HBM2 memory, this NVIDIA graphics card is specifically designed for deep learning, data science, and scientific simulation infrastructures.
Real-world applications at the heart of your workflow
AI researchers use the Tesla V100S to train deep neural networks on massive datasets, drastically reducing iteration times. Computing centers integrate it into GPU computing clusters to accelerate molecular dynamics simulations or climate forecasts. Data scientists benefit from generous memory to handle large language models without compromising accuracy.
Why choose this workstation solution
- Accelerated training of deep learning models
- Real-time big data analysis
- GPU virtualization for multi-user environments
- Proven reliability in data centers and professional workstations
Built by Enthusiasts.
We deployed eight V100S cards in our research cluster and cut model training time from weeks to days. The HBM2 bandwidth is a game-changer for our transformer architectures.
After migrating from consumer GPUs, our molecular dynamics simulations stabilized immediately. The Tesla's error-correcting memory and double-precision performance are non-negotiable for our work.
