NVIDIA T4 Tensor Core Graphics Card 16GB

The NVIDIA T4 Tensor Core Graphics Card 16GB is a versatile, energy-efficient GPU designed for AI inference, high-performance computing (HPC), and data analytics in enterprise environments. Powered by NVIDIA’s Turing architecture, the T4 features Tensor Cores, RT Cores, and CUDA Cores to deliver exceptional performance for machine learning, deep learning, video processing, and virtualized workloads.

With its 16GB of GDDR6 memory, compact form factor, and low power consumption, the T4 is ideal for edge computing, cloud deployment, and data center applications. The T4 strikes a perfect balance between performance, scalability, and energy efficiency, making it a top choice for AI inferencing and versatile enterprise workloads.

Key Features:

1. Turing Architecture

• CUDA Cores
  • Equipped with 2,560 CUDA cores, providing robust performance for parallel processing tasks such as AI inferencing and HPC workloads.
• Tensor Cores
  • Features 320 Tensor Cores, enabling efficient AI and machine learning tasks, such as deep learning model inferencing.
• RT Cores
  • Supports ray tracing acceleration for improved visual quality and simulations.

2. 16GB GDDR6 Memory

• High-Capacity Memory
  • The 16GB of GDDR6 memory ensures smooth processing of large datasets and multi-application environments.
• High Bandwidth
  • Delivers 320 GB/s of memory bandwidth, enabling efficient data transfer for complex workflows.

3. Deep Learning Acceleration

• Mixed-Precision Support
  • Optimized for FP16, FP32, and INT8 precision, providing up to 65 TOPS of INT8 performance for AI inferencing.
• Scalable Performance
  • Supports scaling for large workloads across multiple GPUs in data center environments.

4. Energy Efficiency

• Low Power Consumption
  • Operates at a TDP of only 70W, ensuring high energy efficiency for cost-effective deployments.
• Passive Cooling
  • Designed for server environments with efficient cooling through server airflow.

5. Compact Form Factor

• Single-Slot Design
  • Fits into compact server chassis and edge devices, enabling high-density deployments.

6. AI-Optimized Workloads

• Inference at Scale
  • Delivers real-time responses for workloads like recommendation systems, chatbots, and natural language processing.
• Virtualization Ready
  • Fully compatible with NVIDIA’s virtual GPU (vGPU) technology, supporting virtualized environments for AI and graphics workloads.

7. Video Transcoding

• Multi-Stream Video Processing
  • Accelerates encoding and decoding of H.264 and HEVC formats, enabling high-density video streaming and transcoding.
• High-Density Streaming
  • Supports up to 38 simultaneous streams of 720p 30 FPS video, ideal for media platforms and cloud video services.

Applications:

1. Artificial Intelligence and Machine Learning

• • Inference Workloads: Optimized for real-time inferencing tasks, such as image classification, recommendation systems, and NLP models.
  • AI Deployment: Powers AI inferencing in enterprise and edge environments for applications like fraud detection and predictive analytics.

2. High-Performance Computing (HPC)

• • Scientific Research: Accelerates computations for genomics, weather prediction, and physics simulations.
  • Data Analytics: Handles large datasets efficiently, supporting real-time analytics and big data processing.

3. Virtualization

• • Virtual Desktops and Applications: Provides high-quality virtual desktops for data scientists, engineers, and creative professionals.
  • Multi-Tenant Environments: Enables efficient resource allocation in shared server environments.

4. Media and Entertainment

• • Video Transcoding: Optimized for multi-stream video encoding and decoding for platforms like OTT and live streaming.
  • Streaming Services: Reduces infrastructure costs by supporting multiple concurrent video streams.

5. Edge Computing

• • AI at the Edge: Powers real-time decision-making in IoT devices and edge servers, such as in smart cities and autonomous systems.
  • Compact Deployment: Its single-slot form factor makes it perfect for space-constrained environments.

Why Choose the NVIDIA T4 Tensor Core Graphics Card 16GB?

1. Exceptional AI Performance
   • Delivers up to 65 TOPS of INT8 performance, making it ideal for AI-powered workloads such as NLP, recommendation engines, and image recognition.
2. Energy Efficiency
   • Operates at just 70W, offering a high-performance-per-watt ratio for cost-effective deployments.
3. Compact and Versatile Design
   • The single-slot form factor allows for high-density deployments in data centers and edge environments.
4. Video Processing Capabilities
   • Accelerates multi-stream video encoding and decoding, making it perfect for media streaming and transcoding.
5. Future-Ready for AI and Virtualization
   • Supports NVIDIA’s vGPU technology and is optimized for current and future AI applications, ensuring scalability and flexibility.
6. Enterprise-Grade Reliability
   • Engineered for 24/7 operation with features like ECC memory and robust passive cooling.