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A4000
rtx-a4000
RTX A4000

Redefine GPU Performance

Experience superior performance with the NVIDIA RTX A4000. The A4000 excels in real-time ray tracing, AI-powered computing, and blazing-fast graphics, all driven by the NVIDIA Ampere architecture. With 48 2nd gen RT Cores, 192 3rd gen Tensor Cores, and 6144 CUDA cores, backed by 16GB of ECC memory, the RTX A4000 sets a benchmark for performance. Say goodbye to bulk with the world’s most powerful single-slot GPU, available at Hyperstack!

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Unrivalled Performance in…

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Graphics Precision

Up to 2.7x single-precision floating-point (FP32) with Ampere-powered CUDA cores

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Ray Tracing

2x faster ray tracing and hardware-accelerated motion blur from 2nd Gen RT Cores

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AI Training

Up to 11x faster training performance with hardware support for structural sparsity

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Memory Bandwidth

16GB of ECC-protected GDDR6 memory, 2x the capacity of the previous generation

Benefits of RTX A4000 GPU

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Speed up Performance

Experience up to 2.7x faster performance compared to previous generations, thanks to the Ampere architecture and CUDA cores. This means you can render complex scenes, edit massive video projects, and run demanding simulations faster than ever.

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Ray Tracing RTX

Take your visuals to the next level with real-time ray tracing. Create stunning photorealistic renders with accurate lighting, shadows, and reflections. Design hyper-realistic product mockups or bring architectural scenes to life with stunning detail.

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16GB of GDDR6 Memory

Work seamlessly with large datasets and complex projects. The RTX A4000 boasts 16GB of GDDR6 memory, allowing you to handle high-resolution textures, multi-layered models, and massive datasets without lag or slowdown.

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Immersive VR Experiences

Create and experience mind-blowing VR content with the RTX A4000. Its powerful processing capabilities and VR-ready design let you develop smooth, immersive VR and simulation experiences.

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AI-Powered Workflows

Boost your creativity and productivity with AI-powered tools and features. The RTX A4000 supports NVIDIA AI technologies like DLSS and Iray, which can accelerate tasks like image editing, video editing, and 3D rendering, freeing you up to focus on the bigger picture.

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Data Transfer with PCIe Gen 4

Handle large datasets with PCI Express (PCIe) Gen 4. The RTX A4000 accelerates faster data transfer between CPU memory and GPU, boosting performance and workflow efficiency for 3D rendering, scientific research, and data analysis. 

Key Features

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Technical Specifications

GPU: NVIDIA RTX A4000

CUDA Cores: 6144

Graphics Memory: 16GB GDDR6

GPU memory
16GB GDDR6
Memory interface
256-bit
Memory bandwidth
448 GB/s
Error-correcting code (ECC)
Yes
CUDA Cores
6,144
Tensor Cores
192
RT Cores
48
Single-precision performance
19.2 TFLOPS
RT Core performance
37.4 TFLOPS
Tensor performance
153.4 TFLOPS
System interface
PCIe 4.0 x16
Power consumption
140 W
Thermal solution
Active
Power connector
1x 6-pin PCIe
Encode/decode engines
1x encode, 1x decode (+AV1 decode)
VR ready
Yes
Graphics APIs
DirectX 12 Ultimate, Shader Model 6.6, OpenGL 4.65, Vulkan 1.35
Compute APIs
CUDA 11.6, DirectCompute, OpenCL 3.0
GPU memory
16GB GDDR6
Memory interface
256-bit
Memory bandwidth
448 GB/s
Error-correcting code (ECC)
Yes
CUDA Cores
6,144
Tensor Cores
192
RT Cores
48
Single-precision performance
19.2 TFLOPS
RT Core performance
37.4 TFLOPS
Tensor performance
153.4 TFLOPS
System interface
PCIe 4.0 x16
Power consumption
140 W
Thermal solution
Active
Power connector
1x 6-pin PCIe
Encode/decode engines
1x encode, 1x decode (+AV1 decode)
VR ready
Yes
Graphics APIs
DirectX 12 Ultimate, Shader Model 6.6, OpenGL 4.65, Vulkan 1.35
Compute APIs
CUDA 11.6, DirectCompute, OpenCL 3.0

Dedicated Support Team

Our expert team is available around the clock to offer guidance and support.

Is RTX A4000 good for deep learning?

The RTX A4000 is a cost-efficient choice for deep learning thanks to its powerful CUDA cores, Tensor cores, and large GDDR6 memory. It excels at training and inferencing complex models.

Is RTX better than GTX for deep learning?

Yes, RTX cards offer dedicated Tensor cores for AI workloads, while GTX cards lack them. Tensor cores significantly accelerate deep learning tasks, making RTX cards the preferred choice for AI. However, specific models and tasks might still benefit from high-end GTX cards.

What is the RTX A4000 equivalent to?

While not technically "equivalent," the RTX A4000 competes with high-end consumer GPUs like the RTX 3080 Ti and RTX 4080 based on raw performance. However, the A4000 offers additional features like ECC memory and improved power efficiency, making it more suitable for professional workloads and larger datasets.

Is the A4000 a Quadro?

Yes, the A4000 is a Quadro GPU. However, Nvidia has rebranded its professional visualisation products as NVIDIA RTX. So, while the A4000 is technically a Quadro GPU, it falls under the NVIDIA RTX branding now

When was the RTX A4000 released?

The RTX A4000 was released on April 21, 2021.

How many cores does A4000 have?

The A4000 has 6,144 CUDA cores.

Available on Hyperstack

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