Description

The NVIDIA Tesla V100 | 900-2G500-0010-000 | is a high-performance GPU accelerator built on the revolutionary Volta architecture, designed to meet the demanding needs of AI, deep learning, high-performance computing (HPC), and data analytics. Featuring 640 Tensor Cores and 5120 CUDA Cores, the V100 delivers breakthrough performance for complex workloads in data centers.

With 32GB of HBM2 memory and a memory bandwidth of 900 GB/s, it allows massive parallel processing and faster data access, making it ideal for training large AI models, simulations, and scientific research tasks. It supports key APIs like CUDA, OpenCL, Direct Compute, and Open ACC, ensuring broad compatibility with existing software stacks.

Key Features & Benefits (NVIDIA Tesla V100)

• High-capacity memory: Equipped with 32 GB HBM2 ECC memory, so you can train larger models without running out of GPU memory.
• Massive parallel power: Features 5120 CUDA cores and 640 Tensor Cores, which accelerate AI, ML, and HPC tasks.
• Exceptional bandwidth: Provides ~900 GB/s memory bandwidth; therefore, data moves quickly between GPU and memory.
• Reliable form factor: Comes in a PCIe card design with passive cooling, making it ideal for rack-mount servers.
• Data integrity focus: Supports ECC memory and common frameworks like CUDA and OpenCL, which help ensure accuracy and stability.

Use Cases:

• Training and fine-tuning neural networks, especially when model size or batch size demands more GPU memory.
• Scientific and engineering simulations that need double-precision or stable compute.
• Applications in data analytics or model inference where large data transfers and memory capacity are important.
• Hybrid cloud or on-premises GPU-compute servers where you want high performance per dollar in a refurbished unit.

📂 Data Sheet