What is the NVIDIA Tesla T4 16GB GPU?

The NVIDIA Tesla T4 is a data center GPU optimized for artificial intelligence inference, video processing, and cloud workloads. Built with NVIDIA’s Turing architecture, it balances high performance with low power consumption.

What are the Technical Specifications of the Tesla T4?

The T4’s compact design makes it easy to integrate into PCIe-compatible servers while keeping energy requirements minimal.

Why Choose the Tesla T4?

The Tesla T4 stands out because it delivers AI inference acceleration while consuming just 70 watts of power. This makes it one of the most efficient GPUs available for real-world deployment.

• 16GB GDDR6 memory supports large datasets.
  

• 2,560 CUDA cores accelerate parallel processing.
  

• 320 Tensor Cores optimize deep learning inference.
  

• INT8 and FP16 precision enables fast, scalable AI workloads.
  

Designed for AI Inference at Scale

The T4 is optimized for speech recognition, fraud detection, translation, recommendation systems, and chatbots. Its Tensor Cores allow for real-time AI responses, making it ideal for customer-facing services.

Enterprise-Ready Performance

Businesses prefer the Tesla T4 because it:

• Handles video transcoding for streaming platforms.

• Powers virtual desktops with smooth graphics acceleration.

• Supports cloud services such as AWS, Google Cloud, and Azure.
  

The low-profile PCIe design ensures compatibility with standard servers, making deployment straightforward.

How Does the Tesla T4 Perform in AI Workloads?

The T4 is optimized for AI inference, excelling at tasks that require rapid decision-making from trained models.

• Natural language processing: Powers chatbots, translation, and voice assistants.
  

• Computer vision: Enables image recognition and anomaly detection.
  

• Recommendation engines: Personalizes user experiences in e-commerce and streaming.
  

Its INT8 and FP16 precision modes provide speed without sacrificing accuracy.

How Does the Tesla T4 Compare with Other NVIDIA GPUs?

• T4 vs V100: T4 uses less power and costs less but is inference-focused.
  

• T4 vs A100: A100 delivers unmatched power, but at a much higher cost.
  

• T4’s advantage: Cost efficiency and scalability for inference workloads.
  

What are the Main Use Cases of the Tesla T4?

1. AI Inference

• Chatbots, translation, speech recognition.
• Fraud detection in finance.
• Real-time recommendation engines.

2. Video Processing

• Hardware-accelerated transcoding.
• Optimized streaming at scale.
• Video conferencing solutions.

3. Virtual Desktops (VDI)

• GPU-accelerated graphics in remote environments.
• Smooth performance for creative professionals.

4. Cloud Services

• Supported by AWS, Google Cloud, and Azure.
• Deployed in enterprise SaaS platforms.

Why is the Tesla T4 Energy Efficient?

The T4 runs at 70W, compared to 250W–400W for high-end GPUs. This efficiency lowers operational costs, reduces heat output, and enables dense server deployments without requiring major power upgrades.

Who Should Use the Tesla T4 GPU?

• Data centers scaling inference applications.
  

• Developers building AI-powered software.
  

• Enterprises reducing cloud GPU costs.
  

• Media companies which need high-quality video delivery.