699-2H400-0202-500 Nvidia 12GB HBM2/3072-Bit PCIE Tesla P100 PASCAL 3.0 X16 1x 8-Pin Dual-slot Graphics Card

Detailed of Nvidia Tesla P100 12GB HBM2

General Product Information

• Brand: Nvidia Corporation
• Model Number: 699-2H400-0202-500
• Device Category: High-Performance Graphics Card
• Product Type: GPU Accelerator Card

Core Architecture and Processing Power

Graphics Engine and Chipset Details

• GPU Architecture: NVIDIA Volta
• CUDA Core Count: 3584 Parallel Processing Units
• CUDA Version: 6
• Base Clock Speed: 1190 MHz
• Boost Clock Speed: 1329 MHz

Floating Point Performance

• Single Precision Output: 9.53 TFLOPS
• Double Precision Output: 4.76 TFLOPS

Memory Configuration

Video Memory Specifications

• Installed RAM: 12GB HBM2 (High Bandwidth Memory)
• Memory Clock Rate: 715 MHz
• Memory Bandwidth: 549.1 GB/s
• Memory Interface Width: 3072-bit

Interface and Power Requirements

Connectivity and Slot Design

• PCI Express Version: Gen 3.0 x16
• Slot Configuration: Dual-Slot
• Power Connector: Single 8-Pin
• Thermal Design Power (TDP): 250 Watts
• Cooling Mechanism: Passive (Fanless)

Why Choose the Nvidia Tesla P100 GPU?

• Engineered for scientific computing, AI workloads, and high-performance data analytics
• Massive memory bandwidth for rapid data throughput
• Optimized for parallel processing with thousands of CUDA cores
• Efficient passive cooling ideal for server environments
• Reliable PCIe Gen3 interface for seamless integration

Nvidia 699-2H400-0202-500 Tesla Graphics Card Overview

The Nvidia 699-2H400-0202-500 12GB HBM2/3072-Bit PCIe Tesla P100 Pascal graphics card represents a high-performance solution designed for professional computing, AI workloads, deep learning, and scientific simulations. Built on Nvidia's Pascal architecture, this GPU leverages high-bandwidth memory (HBM2) and a wide memory interface of 3072 bits, providing extreme memory bandwidth for data-intensive applications. Its dual-slot design with a single 8-pin power connector ensures optimal cooling and power delivery, making it suitable for dense server environments and high-end workstations.

Pascal Architecture: Innovation and Efficiency

Advanced Compute Capabilities

The Tesla P100 leverages the Pascal architecture's enhanced compute cores, delivering exceptional parallel processing performance for complex computational tasks. With thousands of CUDA cores, this GPU accelerates machine learning, AI training, and high-performance computing (HPC) workloads. It supports both single-precision (FP32) and double-precision (FP64) operations, providing versatility across scientific simulations and deep learning frameworks.

Energy Efficiency and Thermal Design

Pascal GPUs are engineered for improved energy efficiency without sacrificing performance. The Tesla P100 12GB card incorporates advanced power management features and a dual-slot cooling system, enabling reliable operation under sustained workloads. Efficient thermal dissipation ensures the card maintains high computational throughput while minimizing the risk of overheating or throttling, essential for continuous operation in server clusters or research labs.

High-Bandwidth Memory and Connectivity

12GB HBM2 Memory

The Nvidia 699-2H400-0202-500 integrates 12GB of HBM2 memory with a 3072-bit memory interface, offering massive memory bandwidth. This allows for faster data transfer between the GPU and memory, accelerating deep learning training and large-scale simulation tasks. HBM2 memory also improves power efficiency compared to traditional GDDR5, supporting sustained high-performance operations with lower energy consumption.

PCIe 3.0 X16 Interface

The GPU uses a PCIe 3.0 x16 interface for high-speed connectivity with the host system. This ensures maximum data throughput, reducing latency during complex computations. The PCIe interface allows seamless integration into modern workstations and server infrastructures, providing the bandwidth required for AI, machine learning, and high-performance computing tasks.

High-Performance Computing Workloads

For scientific simulations, engineering calculations, and financial modeling, the Tesla P100 offers unparalleled computational power. Its FP64 performance ensures accurate double-precision calculations, critical for physics simulations, climate modeling, and complex computational fluid dynamics. HPC clusters leverage multiple Tesla P100 GPUs to scale computations across thousands of cores, achieving faster results and higher efficiency.

Enterprise-Grade Reliability and Build Quality

Durability for Continuous Operation

The Tesla P100 is built for enterprise-grade reliability, designed to operate continuously under heavy workloads. Its robust dual-slot design, advanced thermal management, and high-quality components ensure long-term stability in data centers, research labs, and professional workstations. IT administrators rely on Tesla P100 GPUs for uninterrupted operations in mission-critical environments.

Dual-Slot Form Factor and Power Efficiency

The dual-slot design enables efficient airflow and thermal management while maintaining compatibility with standard server and workstation chassis. The single 8-pin power connector simplifies installation and ensures stable power delivery, supporting high-performance tasks without excessive energy consumption. This combination of power efficiency and compact design makes the Tesla P100 ideal for dense compute clusters.

Optimized Software Ecosystem and Compatibility

Integration with Nvidia Software Tools

The Tesla P100 is fully compatible with Nvidia's software ecosystem, including CUDA, cuDNN, and TensorRT. These tools optimize deep learning workflows, accelerate AI model deployment, and improve overall system performance. Developers and researchers benefit from a rich set of APIs, libraries, and frameworks that enhance productivity and streamline integration into existing computational pipelines.

Reliability in Data-Intensive Tasks

Whether training AI models, processing massive datasets, or running scientific simulations, the Tesla P100 ensures stable and consistent performance. Its error-correcting memory (ECC) support prevents data corruption during critical computations, safeguarding results in professional and enterprise environments.

Key Performance Metrics and Technical Specifications

CUDA Core Count and Processing Power

The Tesla P100 houses thousands of CUDA cores, delivering immense parallel processing capabilities. Its compute power accelerates AI, deep learning, and HPC workloads by efficiently distributing tasks across a vast number of cores. The GPU supports mixed-precision training, enhancing performance while maintaining accuracy.

Memory Bandwidth and Data Throughput

With 12GB HBM2 memory and a 3072-bit memory interface, the Tesla P100 offers extraordinary memory bandwidth. This facilitates rapid data access for large-scale simulations and AI model training, significantly improving overall computation speed. High memory throughput ensures that data-intensive tasks execute efficiently without bottlenecks.

Connectivity and Expansion Options

The PCIe 3.0 x16 interface provides high-speed connectivity to the host system. Dual-slot architecture accommodates advanced cooling solutions while ensuring compatibility with enterprise-grade workstations and server racks. This GPU supports flexible deployment in diverse computing environments, ranging from research labs to high-density data centers.

Scientific Research and Simulations

From climate modeling to molecular dynamics and quantum simulations, the Tesla P100 delivers the computational power needed for advanced research. High double-precision performance ensures accurate results in simulations, while massive parallelism reduces computation time, enabling faster discoveries in science and engineering.

Finance and Data Analytics

In financial modeling and data analytics, Tesla P100 GPUs accelerate risk assessment, predictive modeling, and high-frequency trading simulations. Its ability to handle complex calculations with large datasets enables firms to gain insights faster, make informed decisions, and improve operational efficiency.

Future-Proofing and Scalability

Compatibility with Next-Generation Software

The Nvidia Tesla P100 is optimized for modern AI frameworks, HPC libraries, and virtualization software. Its compatibility ensures that organizations can adopt emerging software solutions without hardware replacement, protecting their investment and enabling long-term scalability.

Scalability in Multi-GPU Systems

Multiple Tesla P100 GPUs can be combined in high-performance clusters to scale computing power according to workload requirements. This scalability is critical for enterprise environments, AI research labs, and scientific institutions that need flexible and reliable computational resources.

Long-Term Reliability and 

Nvidia provides enterprise-level support for Tesla P100 GPUs, including firmware updates, driver maintenance, and technical assistance. This ensures continuous reliability, longevity, and optimal performance, making the Tesla P100 a trusted choice for professional computing environments.