Nvidia 16GB Tesla T4 Gddr6 PCIE Graphics Accelerator Card 900-2G183-0100-000

Nvidia 16GB Tesla T4 GDDR6 PCIe Graphics Accelerator Card Overview

The Nvidia 16GB Tesla T4 GDDR6 PCIe Graphics Accelerator Card, model number 900-2G183-0100-000, is a high-performance, versatile solution designed for a wide array of workloads. Featuring the latest advancements in GPU architecture and processing power, the Tesla T4 excels in areas such as artificial intelligence (AI), deep learning, high-performance computing (HPC), and virtualization. With its efficient use of power and exceptional performance, the Tesla T4 is the ideal choice for businesses and professionals seeking a GPU solution that combines cutting-edge technology with reliability.

Key Features of the Nvidia Tesla T4

• 16GB GDDR6 Memory: The Tesla T4 boasts an impressive 16GB of GDDR6 memory, offering ample capacity for demanding workloads and data-intensive applications, ensuring smoother performance and faster processing times.
• Tensor Cores for AI Acceleration: The inclusion of Tensor Cores within the Tesla T4 provides significant speed-up in AI and machine learning operations, optimizing performance for deep learning models.
• PCI Express 3.0 Interface: The Tesla T4 utilizes the PCIe 3.0 interface for fast data throughput, ensuring minimal latency and high bandwidth for both training and inference tasks.
• Energy Efficiency: The Tesla T4 is designed with energy efficiency in mind, providing exceptional performance per watt. This makes it an ideal solution for data centers and other power-conscious environments.
• Hardware-Accelerated Encoding and Decoding: The Tesla T4 supports hardware acceleration for video transcoding and rendering, making it a valuable asset for media and entertainment applications.

Applications of the Nvidia 16GB Tesla T4

Artificial Intelligence and Deep Learning

The Tesla T4 is specifically designed for AI workloads, offering unparalleled performance in both training and inference. Its Tensor Cores accelerate matrix operations crucial for deep learning models, while the high memory capacity ensures that large datasets can be handled effortlessly. Researchers, data scientists, and engineers leverage the Tesla T4 to develop and deploy machine learning models, such as natural language processing (NLP), computer vision, and predictive analytics.

High-Performance Computing (HPC)

The Tesla T4 delivers exceptional computational power for high-performance computing (HPC) tasks, such as simulations, scientific research, and complex mathematical calculations. Its ability to handle massive datasets with ease makes it an essential tool for universities, research institutions, and enterprises engaged in cutting-edge scientific exploration. Whether it's climate modeling, molecular dynamics simulations, or data-intensive scientific analysis, the Tesla T4 provides the performance necessary to tackle these challenges head-on.

Virtualization and Cloud Computing

Another area where the Nvidia Tesla T4 excels is in virtualization. It is designed to support virtual GPU (vGPU) technology, enabling multiple virtual machines to share the GPU’s resources for accelerated performance. This feature is particularly useful for businesses deploying GPU-accelerated virtual desktops and workstations, offering a seamless experience for remote users. With its power-efficient design and high performance, the Tesla T4 helps businesses scale their virtualized environments without compromising on performance.

The Nvidia 16GB Tesla T4

Superior Performance

Thanks to its cutting-edge GPU architecture, the Tesla T4 offers superior performance in a wide variety of workloads, from deep learning tasks to high-end simulations. Its balance of compute power, memory, and energy efficiency makes it an excellent choice for a variety of applications, delivering a significant boost to productivity and efficiency in the workplace.

Scalability and Flexibility

The Nvidia 16GB Tesla T4 is built for scalability, offering enterprises the flexibility to expand their GPU resources as their needs grow. Whether used in a single-server environment or as part of a large-scale GPU cluster, the Tesla T4 can easily integrate into existing infrastructures, providing a scalable solution for organizations looking to enhance their processing capabilities.

Industry-Leading Energy Efficiency

The Tesla T4 is designed to maximize performance per watt, ensuring businesses get the best possible return on their investment. Its low power consumption reduces operational costs, making it a cost-effective option for organizations operating in power-sensitive environments, such as data centers or edge computing environments. With energy efficiency at its core, the Tesla T4 strikes a perfect balance between performance and power consumption.

Comparing the Nvidia Tesla T4 to Other GPUs

Vs. Nvidia Tesla V100

While the Nvidia Tesla V100 is an incredibly powerful GPU, the Tesla T4 offers better performance for AI inference workloads, especially in terms of power efficiency. The V100 is geared more towards high-end training tasks, while the T4 is designed for both training and inference, with a focus on lower power consumption and cost-effective operation. The T4 is also better suited for virtualization, as it can handle a higher number of virtual desktops and machines.

Nvidia Quadro RTX 6000

The Nvidia Quadro RTX 6000 is a high-end GPU designed for professional workstations and rendering tasks. While both the Quadro RTX 6000 and Tesla T4 offer excellent performance, the Tesla T4 is better suited for data center and cloud environments, where scalability and power efficiency are more critical. The Quadro RTX 6000, on the other hand, shines in applications that demand exceptional graphics rendering and visual computing.

AMD Radeon Pro VII

In comparison to the AMD Radeon Pro VII, the Nvidia Tesla T4 excels in AI and deep learning tasks, thanks to the inclusion of Tensor Cores. The Radeon Pro VII, while powerful in its own right, focuses primarily on professional graphics and visual computing, whereas the Tesla T4 is optimized for compute-intensive applications and scalability in cloud and data center environments. The T4 also benefits from Nvidia's software ecosystem, including CUDA, which accelerates a variety of workloads.

Technical Specifications of the Nvidia 16GB Tesla T4

• GPU Architecture: Nvidia Turing
• Memory Size: 16GB GDDR6
• Memory Bandwidth: 300GB/s
• CUDA Cores: 2,560
• Tensor Cores: 320
• Single-Precision Performance: 8.1 TFLOPS
• Double-Precision Performance: 255 GFLOPS
• PCI Express Interface: PCIe 3.0 x16
• Power Consumption: 70W
• Cooling Solution: Passive
• Form Factor: Full-Height, Single Slot

Optimized Software Support

CUDA and CUDA-X AI Libraries

The Nvidia Tesla T4 is supported by the comprehensive CUDA software platform, including CUDA-X AI libraries. These tools provide developers with optimized libraries and frameworks for deep learning, machine learning, data analytics, and scientific computing. With CUDA, organizations can easily take advantage of the full processing power of the Tesla T4, accelerating development cycles and improving application performance.

NVIDIA vGPU Technology

With support for Nvidia's virtual GPU (vGPU) technology, the Tesla T4 is an excellent choice for organizations deploying virtual desktops or workstations. Nvidia vGPU technology allows multiple virtual machines to leverage the power of the Tesla T4, delivering GPU-accelerated performance to each user while ensuring resource efficiency and cost savings.

Deep Learning and Data Analytics

As part of the Nvidia AI ecosystem, the Tesla T4 is optimized for deep learning frameworks such as TensorFlow, PyTorch, and Caffe. Its Tensor Cores accelerate training and inference tasks, reducing the time required to develop and deploy AI models. The Tesla T4 also provides exceptional performance for data analytics workloads, ensuring businesses can quickly process large datasets and derive actionable insights.

Incorporating the Tesla T4 into Your Infrastructure

Data Centers

The Tesla T4 is ideal for use in data centers, offering high performance while minimizing power consumption. Its ability to scale across multiple nodes allows businesses to grow their GPU resources as needed, ensuring that their infrastructure can handle increasingly complex workloads.

Cloud Environments

Cloud providers looking to offer GPU-accelerated services will benefit from the Tesla T4’s energy efficiency and performance. The card is perfect for workloads such as AI inference, virtual desktops, and video transcoding in cloud environments, enabling service providers to deliver high-quality services to their clients.

Enterprise Workstations

Enterprises looking to upgrade their workstations with GPU acceleration will find the Tesla T4 to be a powerful and energy-efficient solution. Whether used for data analysis, machine learning, or simulation tasks, the Tesla T4 can help accelerate productivity while reducing energy costs.