Nvidia 900-2G183-0300-000 Tesla T4 16GB GDDR6 GPU Graphics Card

Nvidia 900-2G183-0300-000 Tesla T4 16GB GDDR6 PCI-E 3.0 x16 GPU Graphics Accelerator Card

The Nvidia 900-2G183-0300-000 Tesla T4 Graphics Accelerator Card is a powerful GPU solution designed for data centers, cloud computing, and high-performance computing applications. Engineered to deliver exceptional performance for artificial intelligence (AI), machine learning (ML), data analytics, and deep learning workloads, the Tesla T4 stands as one of the most versatile and efficient GPU options available today. This 16GB GDDR6 PCIe 3.0 x16-based accelerator card provides the computational power needed for demanding applications while offering excellent power efficiency and scalability.

Key Features of the Nvidia 900-2G183-0300-000 Tesla T4

The Tesla T4 is a state-of-the-art GPU accelerator, offering a range of innovative features that make it suitable for various computational tasks. Some of the key features of the Nvidia 900-2G183-0300-000 Tesla T4 include:

• 16GB GDDR6 Memory: The Tesla T4 is equipped with 16GB of GDDR6 memory, ensuring fast data transfer rates and sufficient memory capacity for high-demand workloads, including deep learning training and inference, AI model development, and high-performance compute (HPC) tasks.
• PCI-E 3.0 x16 Interface: The Tesla T4 supports PCI-E 3.0 x16, enabling fast communication between the GPU and the CPU, ensuring optimal performance during high-speed data processing and parallel computations.
• Exceptional Performance Efficiency: The Tesla T4 delivers up to 8.1 teraflops of FP32 (single-precision floating-point) performance, making it highly effective for tasks like neural network processing, image recognition, and large-scale data analysis.
• AI and ML Optimization: The Tesla T4 is designed with Tensor Cores, allowing it to accelerate AI and ML applications by performing matrix multiplications and convolutions at much higher speeds than conventional GPUs.
• Enhanced Thermal Design: With an efficient thermal design, the Tesla T4 operates at a low temperature, reducing the need for extensive cooling solutions, which is particularly useful in data centers and other environments with limited cooling capacity.

Applications of the Nvidia Tesla T4 Graphics Card

The Tesla T4's flexibility and high performance make it ideal for a broad range of use cases. Below are some of the most common applications of the Tesla T4 graphics accelerator card:

Artificial Intelligence and Machine Learning

The Nvidia Tesla T4 is optimized for AI and machine learning workloads. With its Tensor Cores and 16GB GDDR6 memory, the Tesla T4 significantly accelerates the training and inference of deep learning models, enabling real-time AI-powered applications such as image classification, natural language processing (NLP), and recommendation systems.

High-Performance Computing (HPC)

For scientific simulations, computational fluid dynamics (CFD), and other compute-intensive tasks, the Tesla T4 offers exceptional performance. By utilizing the advanced parallel processing capabilities of the GPU, the Tesla T4 accelerates a wide range of HPC workloads, reducing time-to-insight and accelerating discoveries in fields like physics, biology, and engineering.

Data Center Virtualization

Data center virtualization solutions, such as virtual desktop infrastructure (VDI) and cloud-hosted applications, greatly benefit from the Tesla T4. The GPU's performance allows for smooth, high-density virtual machine deployments, providing users with a seamless virtual experience and improved resource utilization in the data center.

Cloud Gaming and Streaming

The Tesla T4 also enhances cloud gaming platforms by accelerating game rendering and streaming. It ensures high-quality graphics and smooth gameplay in virtualized gaming environments, allowing users to access high-performance games from remote locations with minimal latency.

Performance Benchmarks

Performance benchmarks for the Tesla T4 demonstrate its capabilities across different workloads. In terms of raw computational power, the Tesla T4 offers impressive performance for both training and inference tasks. Below is an overview of the Tesla T4's performance across various metrics:

Deep Learning Performance

When used in AI training, the Tesla T4 can deliver up to 65 teraflops of deep learning performance, making it one of the most efficient GPUs for AI model training. With Tensor Cores, it can process large datasets quickly, enabling faster model development cycles and higher-quality outputs for machine learning tasks.

Compute Performance

The Tesla T4 delivers up to 8.1 teraflops of FP32 performance, ideal for single-precision workloads. For double-precision (FP64) computations, the card offers up to 260 gigaflops, ensuring that scientific computing and simulations benefit from superior performance.

Inference Performance

In terms of inference, the Tesla T4 excels at delivering high throughput, particularly for image recognition, speech recognition, and NLP tasks. The Tesla T4 can process up to 130 teraflops for INT8 operations, making it highly efficient for low-latency applications requiring fast inference.

Power Efficiency and Cost-Effectiveness

Despite its high-performance capabilities, the Tesla T4 is designed to be power-efficient, consuming only 70 watts of power. This makes the Tesla T4 ideal for scaling workloads in large data centers, reducing operational costs and environmental impact without compromising on performance.

Comparison with Other Nvidia Tesla Series GPUs

The Nvidia Tesla T4 stands out in the Tesla series due to its blend of power efficiency, high performance, and cost-effectiveness. It is often compared to other Tesla GPUs such as the Tesla V100 and the Tesla P100. While the V100 offers more computational power with up to 15 teraflops of FP32 performance, the Tesla T4 is optimized for edge computing and AI workloads, offering a balanced combination of price and performance.

Nvidia Tesla V100 vs. Tesla T4

The Tesla V100 is designed for the most demanding deep learning and HPC workloads, providing superior computational power. However, the Tesla T4 offers a more cost-effective solution for companies and researchers focusing on AI inference and high-throughput data analysis. The T4’s low power consumption and smaller form factor make it more suitable for cloud-based and edge computing applications, where space and energy are critical constraints.

Nvidia Tesla P100 vs. Tesla T4

The Tesla P100 is another powerful GPU in the Nvidia Tesla family, with a focus on deep learning and high-performance computing. It offers slightly higher performance than the Tesla T4 in terms of raw compute power. However, the T4’s enhanced efficiency and reduced power consumption make it more suitable for applications that require scaling across many GPUs in large cloud and data center environments.

Integrating Tesla T4 into Your Infrastructure

The Tesla T4 GPU is compatible with a wide range of infrastructures and systems. Whether you're building a high-performance compute cluster, deploying AI applications in the cloud, or setting up a data center with GPU acceleration, the Tesla T4 provides the scalability and flexibility you need. Some key considerations for integrating the Tesla T4 into your system include:

System Compatibility

The Tesla T4 is designed to fit into standard PCI-E 3.0 x16 slots, making it compatible with a wide variety of servers, workstations, and cloud-based infrastructure. Before installation, verify that your system meets the necessary requirements for power and cooling, especially in high-density environments.

Software and Driver Support

To ensure optimal performance, it's essential to use the latest drivers and software that support the Tesla T4. Nvidia provides comprehensive software suites for managing GPU resources, optimizing performance, and monitoring usage. The Tesla T4 is also compatible with Nvidia’s CUDA, cuDNN, and TensorRT software libraries, which help accelerate AI and ML workflows.

Scalability and Multi-GPU Configurations

For large-scale deployments, multiple Tesla T4 cards can be used in a single system to boost performance. Nvidia’s NVLink and other multi-GPU technologies enable seamless scaling for even the most demanding applications. Whether you're scaling out in a cloud environment or deploying in a data center, the Tesla T4 is designed for high-density GPU deployments with excellent power efficiency and cooling management.

Conclusion: Future-Proofing with Nvidia Tesla T4

The Nvidia 900-2G183-0300-000 Tesla T4 16GB GDDR6 PCI-E 3.0 x16 GPU Graphics Accelerator Card is a versatile, high-performance solution for the most demanding AI, machine learning, HPC, and data analytics workloads. With its power efficiency, exceptional performance, and scalability, the Tesla T4 is a future-proof investment for organizations looking to accelerate their computing capabilities while maintaining cost-effectiveness and environmental sustainability.