Brand New Stock Tesla T4 16GB GDDR6 Fan GPU Inference Training AI Server Workstation Dedicated Acceleration Graphics Card

Product Description

GPU Architecture Preview
GPU Chip Blueprint

Product Specifications & Performance

The Tesla A100 is a data center GPU based on the Tesla Ada Lovelace architecture designed to deliver superior visual computing performance. The detailed technical specifications are outline below:

  • Powerful Performance and Architecture Based on the TU104 12nm process, the TU104 graphics processor in the TU104-895-A1 variant, with a chip area of 545mm², has 13.6 billion transistors, and supports DirectX 12 Ultimate. 2560 CUDA Cores, 160 Texture Mapping Units, and 64 ROP Cells are enabled, and 320 Tensor Cores and 40 Ray Tracing Acceleration Cores are also included.
  • High-Capacity High-Speed Video Memory Equipped with 16GB of GDDR6 memory, 256-bit bit width, and up to 320GB/s memory bandwidth, it can quickly process large amounts of data to meet the high memory requirements of deep learning and other compute-intensive tasks.
  • Optimized Clock Performance The GPU base clock is 585MHz, which can be accelerated to 1590MHz, and the memory runs at 1250MHz (equivalent data transfer rate of 10Gbps).
  • Power Consumption & Power Supply With a maximum power consumption of only 70W, a single-slot cooling solution that eliminates the need for additional power connectors, and passive cooling for high-density data center environments, helping to reduce operating costs and cooling stress.
  • Form Factor & Interface With a length of 168mm and a single-slot design, it can be easily installed in a standard data center server, saving space and making it easy to deploy at scale. It is connected to the system through the PCI-Express 3.0 x16 interface to ensure high speed and stable data transmission.

Key Technologies & Features

Multi-precision computing
Based on Turing Tensor's core technology, it supports multiple accuracy modes such as FP32, FP16, INT8, and INT4, and can flexibly select the appropriate accuracy in different application scenarios to balance computing accuracy and performance efficiency. Among them, the performance can reach 8.1TFlops with single precision (FP32) and 65TFLOPS with mixed precision (FP16/FP32).
Enterprise AI Acceleration
In AI fields such as natural language processing, image recognition, and speech recognition, T4 can accelerate the training and inference process of models, and significantly improve performance compared with traditional CPUs, resulting in faster results and improving business efficiency.
Ray Tracing Performance
With 40 ray tracing acceleration cores and support for real-time ray tracing, it can provide more realistic lighting effects and physics simulations for graphics applications and simulations, which is important in some professional applications that require high-quality graphics rendering, as well as future game development.

Enterprise Hardware Integration

Cyber Resilient Architecture

Tesla T4

Cyber Resilient Architecture for Zero Trust IT environment & operations

Security is integrated into every phase of the PowerEdge lifecycle, including protected supply chain and factory-to-site integrity assurance. Silicon-based root of trust anchors end-to-end boot resilience while Multi-Factor Authentication (MFA) and role-based access controls ensure trusted operations.

Autonomous Collaboration

Tesla T4

Increase efficiency and accelerate operations with autonomous collaboration

The OpenManage™ systems management portfolio delivers a secure, efficient, and comprehensive solution for PowerEdge servers. Simplify, automate and centralize one-to-many management with the OpenManage Enterprise console and iDRAC.

Sustainability

Tesla T4

Sustainability

From recycled materials in our products and packaging, to thoughtful, innovative options for energy efficiency, the PowerEdge portfolio is designed to make, deliver, and recycle products to help reduce the carbon footprint and lower your operation costs. We even make it easy to retire legacy systems responsibly with Technologies Services.

Tesla T4 Enterprise Spec

Tesla T4 16GB

Designed for 24x7 enterprise data center operations, it features enterprise-grade components and energy-efficient hardware optimized for deployment at scale.

Supports Secure Boot with Hardware Root of Trust technology, provides an extra layer of security, and meets NEBS Level 3 standards to meet new data center standards.

The passively cooled, energy-efficient, dual-socket design fits a wide range of NVIDIA-Certified systems from OEM vendors and is easy to integrate into existing data center infrastructure.

Data Center Server Deployments

Server Design Diagram 1
Server Design Diagram 2
Components Diagram 1
Hardware Render 1
Components Diagram 2
Hardware Render 2
Interface Board Map
Rear Interface Architecture

Frequently Asked Questions

What is the architecture and core count of this data center GPU?

The GPU is built on a 12nm process with 13.6 billion transistors. It features 2560 CUDA Cores, 320 Tensor Cores, and 40 Ray Tracing Acceleration Cores for highly parallel computational performance.

What type of memory does the GPU use, and what is its bandwidth?

It is equipped with 16GB of GDDR6 memory, a 256-bit memory bus width, and delivers a peak memory bandwidth of up to 320GB/s to handle data-intensive deep learning tasks efficiently.

Does this hardware require external power connectors?

No. The GPU operates with a maximum power consumption of only 70W. Its energy-efficient design allows it to run entirely on power supplied through the PCIe slot, eliminating the need for additional external power connectors.

What are the cooling system specifications?

It features a passive cooling design with a single-slot form factor. This enables easy, high-density server configurations in standard data centers while lowering overall operating and cooling system costs.

Which security features are integrated into this system?

The GPU supports secure deployments in Zero Trust IT environments, featuring a silicon-based root of trust, Secure Boot, multi-factor authentication (MFA), and role-based access control to secure end-to-end boot operations.

What are the dimensions and server interface specifications?

The GPU has a compact length of 168mm and a single-slot profile. It connects to the host system via a high-speed PCI-Express 3.0 x16 interface to guarantee stable and rapid data transfer rates.

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