Part Numbers: P44861-001 | P44899-001 | R8F32A | 699-2G500-0216-400
Model / Board Number: PG500-216
The HPE NVIDIA Tesla V100 is a high-performance enterprise GPU accelerator designed for Artificial Intelligence (AI), Deep Learning, Machine Learning, Data Analytics, Scientific Computing, and High-Performance Computing (HPC) environments. Based on NVIDIA's Volta architecture, the Tesla V100 delivers exceptional computational performance with dedicated Tensor Cores engineered specifically for accelerating AI training and inference workloads.
Featuring 32GB of ultra-fast HBM2 memory with ECC support and an impressive 900 GB/s memory bandwidth, the Tesla V100 is optimized for demanding data center applications that require massive parallel processing capabilities. This server-grade accelerator utilizes a passive cooling design and requires managed chassis airflow from a compatible server environment.
Unlike workstation or gaming graphics cards, the Tesla V100 is a headless compute accelerator with no display outputs, making it ideal for AI clusters, research institutions, cloud computing environments, virtualized infrastructures, and enterprise HPC deployments.
Key Features
- NVIDIA Volta GV100 Architecture
- 32GB HBM2 High-Bandwidth Memory
- 900 GB/s Memory Bandwidth
- 5,120 CUDA Cores
- 640 Tensor Cores
- PCI Express 3.0 x16 Interface
- ECC Memory Support
- Passive Data Center Cooling Design
- AI Training & Inference Accelerator
- Deep Learning Optimized
- Scientific Computing & HPC Ready
- NVLink Support
- Dual-Slot Full Height / Full Length Form Factor
- Enterprise Data Center GPU
- No Video Outputs (Headless Compute Accelerator)
Technical Specifications
Manufacturer: HPE / NVIDIA
Product Family: Tesla V100
Model Number: PG500-216
HPE Option Part Number: P44861-001
HPE Spare Part Number: P44899-001
HPE Sales Part Number: R8F32A
NVIDIA Part Number: 699-2G500-0216-400
GPU Architecture: NVIDIA Volta GV100
Memory Capacity: 32GB
Memory Type: HBM2 ECC
Memory Bandwidth: 900 GB/s
Memory Bus Width: 4096-bit
CUDA Cores: 5,120
Tensor Cores: 640
FP64 Performance: Up to 7 TFLOPS
FP32 Performance: Up to 14 TFLOPS
Tensor Performance: Up to 112 TFLOPS
Interface: PCIe 3.0 x16
Form Factor: Full Height, Full Length, Dual Slot
Cooling: Passive Heatsink
Power Consumption: 250W TDP
Power Connector: 8-Pin Server Power Connection
ECC Support: Yes
Display Outputs: None
NVLink Support: Yes
Supported Compute Frameworks
- NVIDIA CUDA
- OpenCL
- OpenACC
- DirectCompute
- TensorFlow
- PyTorch
- NVIDIA AI Enterprise
- Machine Learning Frameworks
- HPC Applications
Ideal Applications
- Artificial Intelligence (AI)
- Deep Learning
- Machine Learning
- Large Language Model Development
- HPC Clusters
- Scientific Research
- Engineering Simulations
- Financial Modeling
- Medical Research
- Data Analytics
- Virtualized GPU Environments
- Cloud Computing
- Enterprise Data Centers
Compatible Server Platforms
- HPE ProLiant DL380 Gen10
- HPE ProLiant DL360 Gen10
- Other enterprise servers supporting passive PCIe GPU accelerators and adequate airflow requirements
Package Includes
- 1x HPE NVIDIA Tesla V100 32GB HBM2 GPU Accelerator
- Model: PG500-216
- HPE P/N: P44861-001
- Spare P/N: P44899-001
- NVIDIA P/N: 699-2G500-0216-400
Important Notes
- This is a Data Center AI / HPC Accelerator, not a gaming or workstation graphics card.
- Passive cooling design requires server chassis airflow for proper operation.
- No display ports are present on this accelerator.
- Designed for AI, Deep Learning, Machine Learning, Scientific Computing, Virtualization, and High-Performance Computing workloads.
- Board Model Number: PG500-216
- Cross-reference Part Numbers: 699-2G500-0216-400, PG500-216, R8F32A, P44861-001, P44899-001.
