699-2H400-0300-031 Nvidia Tesla P100 16GB PCIe GPU Accelerator

Overview of the Tesla P100 16GB PCIe GPU Accelerator

The Nvidia 699-2H400-0300-031 Tesla P100 16GB PCIe GPU Accelerator is a high-performance computing powerhouse designed for professional workloads in artificial intelligence, deep learning, data analytics, and scientific research. As part of Nvidia’s Tesla P100 series, this GPU accelerator offers exceptional computational capabilities through the Pascal architecture, combining massive parallelism, high memory bandwidth, and energy-efficient performance.

This GPU accelerator is specifically engineered to provide groundbreaking performance in server environments, workstations, and data centers. With 16GB of high-bandwidth HBM2 memory, the Tesla P100 PCIe variant ensures rapid access to large datasets, enabling faster training and inference for machine learning models, computational simulations, and complex data analytics. Whether your workload involves neural network training or large-scale scientific computation, this GPU is optimized to deliver results with unmatched efficiency.

Main Specifications

• Manufacturer: Nvidia 
• Part Number: 699-2H400-0300-031
• Type: GPU Accelerator

Memory Capabilities

• Standard Memory: 16 GB
• Memory Type: High-bandwidth HBM2 technology

Display & Graphics

• Display Size: 18.5 inches (47 cm)
• Resolution: HD (1366 x 768 @ 60Hz)
• Screen Height: 112 mm | Screen Width: 38 mm

Ports & Expansion

• PCI Express connection type for high-speed data transfer
• Chassis security compatible with optional lock mechanisms
• Card Length: 267 mm

Power & Energy Efficiency

• Input Voltage: 100–240 VAC, 50–60 Hz
• Power Usage: Maximum 15W, Typical 13W
• Low standby consumption: less than 0.5W

Key Features and Specifications of Tesla P100 16GB PCIe

The Nvidia Tesla P100 16GB PCIe GPU Accelerator boasts a range of features designed to maximize computing throughput and efficiency:

Pascal Architecture

The Pascal architecture underpins the Tesla P100, offering enhanced performance and energy efficiency compared to previous generations. It supports advanced technologies such as NVLink, CUDA cores, and half-precision computation, enabling accelerated AI workloads and high-performance computing tasks. The architecture allows for optimized parallel processing, which is crucial for training deep neural networks and running complex simulations.

High-Bandwidth Memory (HBM2)

Equipped with 16GB of HBM2 memory, the Tesla P100 PCIe ensures high memory bandwidth of up to 732 GB/s. This feature is essential for data-intensive applications such as genomic analysis, fluid dynamics simulations, and large-scale financial modeling. The high-speed memory allows for the seamless processing of massive datasets without memory bottlenecks, resulting in improved computational efficiency and reduced latency.

Compute Capabilities and CUDA Cores

The Tesla P100 PCIe model features thousands of CUDA cores, which enable massive parallel processing. Each CUDA core can perform independent computations, allowing the GPU to execute a vast number of operations simultaneously. This capability makes the Tesla P100 an ideal solution for deep learning frameworks such as TensorFlow, PyTorch, and MXNet, as well as for scientific computing platforms like MATLAB and ANSYS.

PCIe Interface Compatibility

The PCIe form factor ensures broad compatibility with a variety of server and workstation configurations. The PCIe interface provides high-speed data transfer between the GPU and host system, which is critical for workloads that require frequent memory access. The Tesla P100 PCIe is compatible with PCIe 3.0 and later generations, delivering reliable performance across multiple computing environments.

Performance Advantages in High-Performance Computing

The Tesla P100 16GB PCIe excels in a wide range of high-performance computing (HPC) applications, delivering impressive computational power and efficiency:

For artificial intelligence and deep learning, the Tesla P100 PCIe accelerates neural network training by providing high throughput for matrix operations and tensor computations. The 16GB HBM2 memory allows large batch sizes during training, which improves convergence rates and reduces overall training time. Researchers and data scientists can achieve faster experimentation cycles, enabling quicker deployment of AI models into production environments.

Scientific Simulations and Data Analytics

Scientists and engineers benefit from the Tesla P100’s capability to handle computationally intensive simulations, such as climate modeling, molecular dynamics, and computational fluid dynamics. The GPU’s parallel processing capabilities reduce the time required to complete large-scale simulations while maintaining precision. Similarly, in data analytics applications, the high memory bandwidth ensures smooth handling of large datasets, providing real-time insights and accelerating decision-making processes.

Designed with energy efficiency in mind, the Tesla P100 PCIe minimizes power consumption while delivering maximum performance. The GPU incorporates advanced thermal management technologies to maintain optimal operating temperatures under heavy workloads, ensuring reliability and stability in data center environments. This efficiency translates into reduced operational costs and lower environmental impact, which is a key consideration for enterprises managing large GPU clusters.

Use Cases

The Nvidia Tesla P100 16GB PCIe is versatile and well-suited for various deployment scenarios across industries:

Data Centers and Cloud Computing

In data centers and cloud environments, the Tesla P100 accelerates virtualized workloads, enabling high-density GPU deployments for AI training, inference, and big data processing. Its PCIe form factor allows for flexible integration into existing server infrastructure, and multi-GPU configurations can be leveraged for parallel processing of large-scale applications.

Enterprise AI and Research Labs

Research institutions and enterprise AI labs benefit from the Tesla P100’s high throughput and memory capacity. The GPU accelerates tasks such as natural language processing, computer vision, recommendation engines, and predictive analytics. With faster training times and improved model accuracy, organizations can reduce research cycles and accelerate innovation.

High-Performance Computing Clusters

The Tesla P100 PCIe is ideal for inclusion in HPC clusters, where multiple GPUs work in tandem to tackle complex simulations and computations. Its compatibility with multi-GPU setups, along with NVLink support in hybrid configurations, allows for efficient data sharing between GPUs, significantly improving performance for tasks that require distributed computing resources.

Data Transfer Optimization

Memory management and data transfer are critical factors in GPU performance, and the Tesla P100 16GB PCIe addresses these challenges with advanced capabilities:

Unified Memory Architecture

The Tesla P100 supports unified memory, which simplifies memory allocation across CPU and GPU. Unified memory allows large datasets to reside in GPU memory without the need for constant copying, reducing latency and improving computational efficiency. This feature is especially useful for deep learning and HPC workloads that require frequent access to large datasets.

High-Speed PCIe Communication

The PCIe interface of the Tesla P100 ensures high-speed communication with the host system, minimizing data transfer bottlenecks. The PCIe Gen3 x16 interface provides sufficient bandwidth for heavy workloads, ensuring that the GPU can operate at peak efficiency without being constrained by slower data paths. This is essential for applications such as large-scale simulations and real-time analytics.

Scalability for Multi-GPU Configurations

For enterprises requiring extensive computational resources, the Tesla P100 PCIe supports multi-GPU scalability. Using Nvidia’s NVLink technology in conjunction with PCIe, GPUs can share data efficiently, allowing for large-scale parallel processing. This scalability is critical for applications like AI model training, scientific research, and financial risk modeling, where workloads are too large for a single GPU.

Reliability, Durability, and Build Quality

Nvidia designs the Tesla P100 PCIe with reliability and durability as top priorities. Engineered for continuous operation in demanding data center environments, this GPU is built to maintain stability under intensive workloads:

Enterprise-Grade Components

The Tesla P100 features high-quality components, including robust power delivery systems and reinforced cooling solutions. These elements ensure consistent performance even during prolonged high-intensity operations, reducing the risk of hardware failure and downtime.

Advanced thermal management features maintain optimal operating temperatures, protecting the GPU from overheating while optimizing power consumption. Power-efficient design reduces operational costs, making the Tesla P100 a cost-effective choice for enterprises running large GPU clusters.

Nvidia offers long-term support for the Tesla P100, including firmware updates, driver optimization, and compatibility testing. This support ensures that the GPU remains a viable solution for enterprise workloads over several years, providing a stable foundation for long-term research, AI development, and HPC applications.

Comparisons with Other GPU Accelerators

The Tesla P100 16GB PCIe GPU occupies a unique position in Nvidia’s GPU lineup. Compared to consumer-grade GPUs, it prioritizes double-precision compute, ECC memory, and high-bandwidth interconnects, making it more suitable for professional and scientific workloads. When compared to the newer Tesla V100 or A100 series, the P100 offers competitive performance at a lower cost, making it a viable solution for enterprises balancing budget and computational needs.

Advantages Over Consumer GPUs

Unlike gaming GPUs, the Tesla P100 is optimized for double-precision floating-point calculations and error-correcting code (ECC) memory, providing accurate results in scientific simulations and financial modeling. It is also designed for 24/7 operation in server environments, offering reliability and stability beyond what consumer GPUs can provide.

Comparison with Tesla V100 and A100

While the Tesla V100 and A100 offer newer architectures and higher performance, the P100 remains relevant due to its efficient memory bandwidth, stable PCIe interface, and cost-effectiveness. Organizations with existing P100 deployments can continue leveraging these GPUs for AI training, HPC, and data analytics without the immediate need for upgrades.

Healthcare and Genomics

In healthcare, the Tesla P100 accelerates genome sequencing, medical imaging, and drug discovery simulations. Its high memory capacity and computational power enable rapid analysis of large datasets, reducing the time required for complex computations and enhancing research efficiency.

Automotive and Autonomous Vehicles

Automotive industries leverage the Tesla P100 for AI-based autonomous driving algorithms, sensor data processing, and simulation of vehicle dynamics. The GPU’s parallel processing capabilities allow real-time processing of sensor inputs, facilitating safer and more responsive autonomous systems.

Financial Services

Financial institutions utilize the Tesla P100 for risk modeling, fraud detection, and quantitative analysis. Its ability to handle vast amounts of transactional and market data in real-time ensures that firms can make data-driven decisions faster, reducing latency in critical trading and risk assessment operations.

Scientific Research and Academia

Universities and research laboratories employ the Tesla P100 for high-performance scientific computing tasks, including climate modeling, astrophysics simulations, and computational chemistry. Its combination of reliability, performance, and software support makes it a preferred choice for academic HPC clusters.