NVIDIA/HP Tesla V100 PG500-216 32GB HBM2 PCIe 3.0 x16 Passive GPU Computational Accelerator for AI Machine Learning HPC Deep Learning 699-2G500-0216-400

NVIDIA/HP Tesla V100 PG500-216 32GB HBM2 PCIe 3.0 x16 Data Center AI Deep Learning HPC Accelerator GPU

1. Type: GPU Computational Accelerator
2. Nvidia Part Number: 699-2G500-0216-400
3. HPE Part Number: P44861-001/P44899-001
4. Form Factor: Dual-Slot PCIe Full Height/Length

Key Features

1. GPU Memory: 32GB HBM2 (High Bandwidth Memory 2) with ECC (Error-Correcting Code) for reliable performance in AI, HPC, and data-intensive workloads.
2. CUDA Cores: 5,120 CUDA cores, delivering high parallel compute performance for deep learning, scientific computing, and simulation tasks.
3. Tensor Cores: 640 first-generation Tensor Cores, accelerating AI training and inference workloads with mixed-precision computing.
4. Performance: Up to ~14 TFLOPS FP32 and ~125 TFLOPS Tensor performance for AI and HPC workloads.
5. Interface: PCIe 3.0 x16 for high-bandwidth server and cluster connectivity.
6. Display Outputs: None; compute-only GPU with no display support.
7. Form Factor: Dual-slot, full-height, full-length passive cooling design for server airflow systems.
8. Power Consumption: ~250W TDP via PCIe slot and auxiliary power connector
9. Enterprise Features: Supports CUDA, cuDNN, and TensorRT for AI, machine learning, and HPC workloads.

Ideal Applications

1. AI Model Training (Deep Learning / LLMs) -- Accelerates large-scale neural network training using Tensor Core compute for mixed-precision workloads
2. High-Performance Computing (HPC) -- Used in scientific simulation, physics modeling, climate research, and engineering computations requiring massive parallel processing
3. Data Analytics & Big Data Processing -- Ideal for large dataset analysis, machine learning pipelines, and GPU-accelerated database workloads
4. AI Inference & Research Clusters -- Supports deployment of trained AI models in research environments and multi-GPU inference systems
5. Enterprise GPU Compute Nodes -- Designed for data center environments running 24/7 workloads, including cloud computing, virtualization, and AI server clusters