T39XP Dell Nvidia Tesla PCIe 32GB GPU Accelerator Card

Dell T39XP Nvidia Tesla V100 HBM2 CUDA PCIe 32GB GPU Accelerator Card Overview

The Dell T39XP Nvidia Tesla V100 HBM2 CUDA PCIe 32GB GPU Accelerator Card is a powerful high-performance computing solution designed to accelerate a range of applications, from deep learning and artificial intelligence (AI) to high-performance computing (HPC) workloads. Equipped with Nvidia’s Tesla V100 GPU and cutting-edge HBM2 (High Bandwidth Memory 2) technology, this card is engineered to deliver exceptional processing speed and throughput for scientific simulations, data analysis, and machine learning tasks. The Tesla V100 provides remarkable performance boosts for tasks involving large-scale computations and datasets, making it an invaluable tool for researchers, engineers, and data scientists alike.

Key Features and Specifications

With an impressive set of features and specifications, the Dell T39XP Nvidia Tesla V100 GPU is a powerful addition to any computing system. Below are some of the standout characteristics that make this accelerator card a top choice for professional use:

• GPU Model: Nvidia Tesla V100
• GPU Memory: 32GB HBM2
• Memory Bandwidth: 900GB/s
• CUDA Cores: 5120
• PCIe Interface: PCIe Gen3 x16
• Tensor Cores: 640 (for AI and deep learning tasks)
• Peak Single-Precision Performance: 15.7 TFLOPS
• Peak Double-Precision Performance: 7.8 TFLOPS
• Form Factor: Full-Height, Full-Length
• Power Consumption: 250W

Performance and Efficiency

The Tesla V100 GPU is powered by Nvidia’s Volta architecture, delivering significant improvements over its predecessors in terms of computational performance and energy efficiency. Its 32GB of HBM2 memory offers ultra-fast data access, providing massive bandwidth that is essential for tasks such as deep learning training, AI inference, and complex data processing. With the combination of CUDA cores and tensor cores, the Tesla V100 excels in both traditional computational tasks and modern AI workloads, making it a versatile and future-proof solution.

High Bandwidth Memory (HBM2)

One of the standout features of the Dell T39XP Nvidia Tesla V100 is its use of HBM2 memory. This advanced memory technology provides a substantial bandwidth increase compared to conventional GDDR memory, offering faster data transfer rates. This results in improved overall system performance, particularly for data-heavy tasks such as machine learning model training, large-scale simulations, and data analytics.

Cuda Cores and Tensor Cores

The Tesla V100 is equipped with Nvidia’s CUDA cores, enabling parallel processing capabilities that allow it to handle multiple tasks simultaneously. The addition of Tensor cores takes performance even further, particularly for tasks involving deep learning and AI applications. Tensor cores accelerate matrix multiplications and convolutions, significantly speeding up training times for deep neural networks and other machine learning algorithms.

PCIe Gen3 Interface

The Tesla V100 GPU uses the PCIe Gen3 x16 interface, which offers faster data transfer between the GPU and the rest of the system. This ensures that the GPU can access and process data quickly, minimizing bottlenecks and maximizing computational throughput. The PCIe interface is fully compatible with a wide range of server systems, ensuring seamless integration into existing data centers or research labs.

Applications of the Dell T39XP Nvidia Tesla V100 GPU Accelerator Card

The Dell T39XP Nvidia Tesla V100 is ideal for a wide variety of applications that require high computational power and memory bandwidth. Below are some of the key sectors where this GPU accelerator card is commonly used:

Artificial Intelligence and Machine Learning

The Tesla V100 is particularly well-suited for AI and machine learning tasks. Its tensor cores accelerate deep learning and neural network training, making it one of the most powerful GPUs for AI applications. Whether you're training large-scale models, running real-time inference, or developing AI-powered solutions, the Tesla V100 provides the performance necessary to handle complex workloads efficiently.

High-Performance Computing (HPC)

In the realm of scientific research, simulations, and data processing, the Dell T39XP Tesla V100 GPU is an essential tool for achieving higher computational throughput. The GPU’s large memory capacity, combined with its massively parallel processing capabilities, makes it perfect for scientific computations that require substantial computational power. Tasks such as computational fluid dynamics, molecular modeling, and weather forecasting are just some of the areas where the Tesla V100 shines.

Data Science and Analytics

Data scientists and analysts who work with massive datasets can benefit greatly from the Dell T39XP Tesla V100 GPU. The card's ability to quickly process large volumes of data ensures that data-heavy operations such as big data analytics, data mining, and real-time reporting can be completed faster, providing results in a fraction of the time it would take with traditional CPUs.

Deep Learning and Neural Networks

Deep learning models, which often involve massive amounts of data and complex computations, can be significantly accelerated by the Tesla V100 GPU. With its advanced tensor cores, the V100 drastically reduces the time it takes to train deep neural networks, allowing researchers and engineers to iterate faster and deploy AI models with greater efficiency. Whether for computer vision, natural language processing, or speech recognition, the Tesla V100 ensures top-tier performance for deep learning workloads.

Integration and Compatibility

Integration of the Dell T39XP Nvidia Tesla V100 GPU into your server or workstation is straightforward, thanks to its compatibility with a wide range of systems. Its PCIe interface ensures it can be installed in most modern enterprise servers or high-performance workstations, making it a versatile choice for upgrading your computing infrastructure.

Compatible Systems

The Tesla V100 is compatible with a variety of server platforms, including Dell PowerEdge, HP ProLiant, and Lenovo ThinkSystem models. It is also supported by leading cloud services providers such as AWS, Google Cloud, and Microsoft Azure, allowing for easy scalability and cloud-based GPU workloads. This flexibility enables businesses and research organizations to integrate the Tesla V100 into their existing setups without major compatibility concerns.

Software Support

Along with hardware compatibility, the Dell T39XP Nvidia Tesla V100 GPU also supports a wide range of software tools and frameworks, ensuring seamless integration with your workflows. It supports Nvidia CUDA, cuDNN, and other GPU-accelerated libraries, as well as deep learning frameworks such as TensorFlow, PyTorch, and Caffe. This extensive software support ensures that users can take full advantage of the Tesla V100’s capabilities without needing to spend time on complex configuration or setup.

Choose the Dell T39XP Nvidia Tesla V100 GPU

The Dell T39XP Nvidia Tesla V100 GPU accelerator card offers an unparalleled combination of raw computational power, large memory capacity, and cutting-edge architecture, making it an ideal solution for enterprises, research labs, and data centers. Whether you’re focused on machine learning, scientific computing, or high-performance data analytics, this GPU provides the necessary performance and reliability to tackle the most demanding workloads. Here are several reasons to choose the Dell T39XP Tesla V100:

Exceptional Performance for Data-Intensive Applications

The Tesla V100’s combination of CUDA cores, tensor cores, and HBM2 memory ensures that it delivers exceptional performance, especially for data-intensive applications that require massive computational resources. Tasks such as training deep neural networks or running complex simulations become much more efficient with this GPU accelerator card, reducing time-to-insight and improving productivity.

Future-Proof Investment

The Dell T39XP Nvidia Tesla V100 GPU is based on Nvidia’s Volta architecture, which is a significant leap forward in GPU technology. By investing in the Tesla V100, you’re future-proofing your systems and ensuring that you can handle the growing demands of AI, deep learning, and high-performance computing workloads for years to come.

High Return on Investment (ROI)

With the Tesla V100’s ability to significantly accelerate workloads, users can expect a high return on investment. Whether you're running an AI-powered startup, an enterprise-grade data center, or conducting groundbreaking research, the Tesla V100 will help you maximize performance while minimizing downtime and bottlenecks, ultimately improving overall efficiency and reducing operational costs.