699-2G183-0200-100 Nvidia Tesla T4 16GB Graphics Accelerator Card.

Nvidia Tesla T4 16GB GDDR6 PCI-E 3.0 x16 GPU Overview

The Nvidia Tesla T4 16GB GDDR6 PCI-E 3.0 x16 GPU Graphics Accelerator Card represents one of the most powerful solutions for AI inference, deep learning, and high-performance computing (HPC) workloads. Designed to deliver exceptional efficiency and versatility, the Tesla T4 is equipped with 16GB of GDDR6 memory and offers cutting-edge performance for a wide variety of professional applications.

Built on the Nvidia Turing architecture, the Tesla T4 combines hardware-accelerated ray tracing, Tensor Cores, and CUDA Cores to achieve optimal performance for AI, data analytics, and virtual desktop infrastructure (VDI). Its compact, low-profile form factor makes it an excellent choice for scalable deployment in data centers or workstations.

Key Features and Specifications of Nvidia Tesla T4

The Tesla T4 GPU is packed with features that set it apart from standard GPUs. Below are some key specifications:

• GPU Architecture: Nvidia Turing
• Memory: 16GB GDDR6
• PCI-E Interface: PCI-E 3.0 x16
• CUDA Cores: 2560
• Tensor Cores: 320 for AI and deep learning
• FP32 Performance: Up to 8.1 TFLOPS
• Form Factor: Single-slot, low-profile
• Power Consumption: 70W TDP

Performance for AI and Deep Learning Applications

The Nvidia Tesla T4 excels in AI inference, offering unmatched performance for workloads such as image recognition, natural language processing (NLP), and predictive analytics. Thanks to its 320 Tensor Cores, it delivers up to 130 TFLOPS of Tensor performance, enabling faster and more accurate AI model inference. This makes it an ideal solution for businesses and organizations focused on developing AI-driven services.

Additionally, its support for mixed-precision computing ensures that the Tesla T4 can deliver higher performance while maintaining accuracy in AI and machine learning workloads.

Data Center Efficiency and Scalability

Designed with data centers in mind, the Tesla T4 GPU provides exceptional energy efficiency and scalability. With a low thermal design power (TDP) of just 70W, the Tesla T4 reduces operational costs and power consumption compared to other high-performance GPUs. Its compact, low-profile form factor allows for high-density deployments in server racks, maximizing performance per square foot in modern data centers.

Video Transcoding and Virtual Desktop Infrastructure (VDI)

The Tesla T4 is also highly optimized for video transcoding and Virtual Desktop Infrastructure (VDI) solutions. It supports hardware-accelerated video encoding and decoding, allowing for real-time streaming and multi-user virtual environments without sacrificing quality. This makes it an essential component for industries like media, entertainment, and cloud gaming.

With support for multiple 4K and even 8K video streams, the Tesla T4 ensures high-quality video processing while maintaining low latency. For VDI, it provides a seamless user experience, even in demanding environments like CAD design and 3D modeling.

Use Cases and Applications of Nvidia Tesla T4

The Nvidia Tesla T4 is a versatile graphics card with a broad range of applications. It’s widely used in industries such as healthcare, finance, automotive, and manufacturing. Here are some of the key use cases:

• AI Inference: Real-time object detection, speech recognition, and recommendation engines
• Deep Learning: Training and deploying neural networks for machine learning applications
• Video Transcoding: Multi-channel 4K/8K video streaming and encoding
• Data Analytics: Accelerated data processing for large datasets
• VDI: High-performance virtual desktop environments for professional users

Comparison with Other Nvidia GPUs

When comparing the Tesla T4 with other Nvidia GPUs, such as the Nvidia V100 and P100, the T4 stands out for its balance of performance, power efficiency, and cost-effectiveness. Unlike the V100, which is optimized for large-scale deep learning training, the Tesla T4 focuses primarily on inference and real-time applications. This makes it a more affordable option for organizations looking to deploy AI at scale without excessive power consumption.

Nvidia Tesla T4 vs. Nvidia V100

Performance: While the V100 delivers higher raw performance for deep learning training, the Tesla T4 is specifically designed for inference, offering greater efficiency in this area.
Power Consumption: The V100 has a TDP of 250W, whereas the Tesla T4’s 70W TDP makes it far more power-efficient.
Cost: The Tesla T4 provides excellent value for organizations that require scalable AI inference without the high cost associated with the V100.

System Compatibility and Deployment

The Tesla T4 is compatible with a wide range of systems, including workstations, servers, and cloud infrastructures. It supports major frameworks such as TensorFlow, PyTorch, and Caffe, making it easy for developers to integrate into existing workflows.

For deployment, the Tesla T4 can be used in both bare-metal servers and virtualized environments. It’s supported by leading virtualization platforms like VMware vSphere, ensuring seamless integration in data center environments.

Integration with Nvidia GPU Cloud (NGC)

The Tesla T4 is fully integrated with Nvidia GPU Cloud (NGC), which provides access to pre-optimized AI, deep learning, and HPC containers. This simplifies deployment and reduces the time required to get applications up and running. Developers can take advantage of NGC’s extensive library of tools and resources to accelerate their projects.

Reliability and Durability

Nvidia designed the Tesla T4 to operate reliably in demanding environments. It features error-correcting code (ECC) memory, which ensures data integrity and minimizes the risk of computational errors. This is especially important in mission-critical applications such as financial modeling and scientific simulations.

Its robust design and advanced thermal management also contribute to its long lifespan, even when used in high-performance computing clusters or data centers.

Optimizing Performance with Nvidia Tesla T4

To maximize the performance of the Nvidia Tesla T4, it’s essential to pair it with the right hardware and software configurations. Ensure that your system’s power supply and cooling are adequate to maintain optimal performance. Additionally, using Nvidia’s performance monitoring tools can help you fine-tune your setup for specific workloads.

Driver and Firmware Updates

Regularly updating drivers and firmware is crucial for maintaining compatibility and unlocking new features. Nvidia provides frequent updates to improve performance, stability, and security for the Tesla T4 GPU. Staying up to date ensures you get the best experience possible.