NVIDIA T4 TENSOR CORE GPU
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Description
The NVIDIA T4 GPU is a versatile, energy-efficient accelerator designed for modern AI workloads, machine learning, high-performance computing (HPC), graphics, and video processing. Built on the NVIDIA Turing™ architecture with advanced Tensor Cores and RT Cores, the T4 delivers exceptional computational power while maintaining low power consumption, making it an ideal choice for both data centers and edge deployments. Its compact 70W PCIe design ensures it fits into mainstream servers without compromising performance.
Architecture and Tensor Core Technology
At the heart of the NVIDIA T4 is the Turing Tensor Core technology, which provides multi-precision acceleration for FP32, FP16, INT8, and INT4 operations. With 320 Tensor Cores and 2560 CUDA cores, the T4 can handle complex AI and deep learning workloads with up to 40× faster performance than traditional CPUs. This multi-precision capability allows developers to optimize performance for a wide range of applications, from conversational AI models to recommendation engines and real-time analytics.
Accelerated AI Inference and Machine Learning
The NVIDIA T4 excels in AI inference, enabling businesses to process more requests with lower latency. Key benchmark improvements include:
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ResNet-50: 27× speedup vs CPU
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DeepSpeech2: 21× speedup vs CPU
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GNMT: 36× speedup vs CPU
These improvements demonstrate T4’s ability to deliver high-throughput inference for deep learning models, providing faster insights and more responsive AI-powered applications. Whether deploying natural language processing, computer vision, or predictive analytics, the T4 ensures consistent, high-performance results.
Video Processing and Graphics Acceleration
The NVIDIA T4 GPU features dedicated video encoding and decoding engines (NVENC/NVDEC) that double the video processing performance compared to previous-generation GPUs. It can handle up to 38 simultaneous Full HD video streams, making it ideal for streaming platforms, video analytics, virtual desktops, and AI-driven video applications. Its capabilities extend beyond AI, offering scalable solutions for graphics rendering, simulation, and content creation.
Compact and Energy-Efficient Design
One of the key advantages of the NVIDIA T4 is its low-profile, single-slot PCIe form factor. With a maximum power consumption of only 70 watts, it provides flexible deployment options for mainstream servers, hyperscale data centers, and edge nodes. This energy-efficient design ensures cost savings while supporting demanding AI workloads, making the T4 a sustainable choice for organizations scaling their AI infrastructure.
see other products: AI GPU Cards
Integrated AI Inference Platform
The NVIDIA T4 is part of the NVIDIA AI Inference Platform, a complete ecosystem that includes optimized software stacks, containerized frameworks, and pre-trained models available via NVIDIA NGC. This integration allows developers and enterprises to deploy AI models quickly, scale efficiently, and reduce operational complexity. The T4 works seamlessly with TensorRT, CUDA, cuDNN, and other NVIDIA AI software libraries to maximize performance and reliability.
Key Specifications
Feature | NVIDIA T4 Specification |
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Architecture | NVIDIA Turing™ |
CUDA Cores | 2560 |
Tensor Cores | 320 |
GPU Memory | 16 GB GDDR6 |
Memory Bandwidth | 320 GB/s |
PCIe Form Factor | Low-profile, single-slot |
Power Consumption | 70 W |
FP32 Performance | 8.1 TFLOPS |
FP16 Performance | 65 TFLOPS |
INT8 Performance | 130 TOPS |
INT4 Performance | 260 TOPS |
Applications of NVIDIA T4
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AI and Machine Learning: Deep learning inference, NLP models, recommendation systems, predictive analytics.
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Video and Media Processing: Video streaming, real-time video analytics, virtual desktops, content delivery.
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High-Performance Computing (HPC): Scientific simulations, data analysis, financial modeling.
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Edge Computing: Energy-efficient AI acceleration for autonomous systems, IoT devices, and local inference nodes.
Why Choose NVIDIA T4?
The NVIDIA T4 GPU combines high performance, energy efficiency, and versatile deployment options. Its multi-precision Tensor Cores accelerate AI and ML workloads across diverse applications, while its compact design and low power requirements allow for cost-effective scaling. Whether your goal is to enhance customer experiences, process large datasets quickly, or deploy AI at the edge, the NVIDIA T4 provides a reliable and high-performing solution.
With the NVIDIA T4, organizations can confidently tackle AI-driven projects, from real-time video analytics to enterprise-level machine learning, while optimizing power consumption and operational costs. Its integration with NVIDIA’s software ecosystem ensures developers have all the tools needed for efficient model deployment and scaling.
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Additional information
GPU Architecture |
NVIDIA Turing |
---|---|
NVIDIA Turing Tensor Cores |
320 |
NVIDIA CUDA® Cores |
2,560 |
Single-Precision |
8.1 TFLOPS |
Mixed-Precision (FP16/FP32) |
65 TFLOPS |
INT8 |
130 TOPS |
INT4 |
260 TOPS |
GPU Memory |
16 GB GDDR6 |
ECC |
Yes |
Interconnect Bandwidth |
32 GB/sec |
Use Cases |
AI Inference |
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