NVIDIARTX A4000
The NVIDIA RTX A4000 is the industry-leading GPU designed to deliver unparalleled processing power to many projects, empowering professionals across various industries. The A4000 GPU fuses the latest NVIDIA Ampere architecture and top-notch features to provide real-time tracing, powerful AI acceleration and faster graphics rendering so you can effortlessly handle the most demanding HPC workloads.

The NVIDIA RTX A4000 is perfect for a wide range of workloads
Deploying AI based workloads on CUDO Compute is easy and cost-effective. Follow our AI related tutorials.
Available at the most cost-effective pricing
Launch your AI products faster with on-demand GPUs and a global network of data center partners
Virtual machines
The ideal deployment strategy for AI workloads with a RTX A4000.
- Up to 8 GPUs / virtual machine
- Flexible
- Network attached storage
- Private networks
- Security groups
- Images
Enterprise
We offer a range of solutions for enterprise customers.
- Powerful GPU clusters
- Scalable data center colocation
- Large quantities of GPUs and hardware
- Optimise to your requirements
- Expert installation
- Scale as your demand grows
Specifications
Browse specifications for the NVIDIA RTX A4000 GPU
Starting from | Contact us for pricing |
Architecture | NVIDIA Ampere |
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 (NVIDIA third-generation) |
RT Cores | 48 (NVIDIA second-generation) |
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 | Total board power: 140 W |
Thermal Solution | Active |
Form Factor | 4.4” H x 9.5” L, single slot |
Display Connectors | 4x DisplayPort 1.4a |
Max Simultaneous Displays | 4x 4096 x 2160 @ 120 Hz, 4x 5120 x 2880 @ 60 Hz, 2x 7680 x 4320 @ 60 Hz |
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 |
Ideal uses cases for the NVIDIA RTX A4000 GPU
Explore uses cases for the NVIDIA RTX A4000 including AI & deep learning, Scientific & simulation, Professional workstations.
AI & deep learning
Engineers and data scientists leverage the A4000 to train complex deep learning models. Its HPC power delivers unparalleled performance, enabling organizations to train neural networks faster, more efficiently and at lower costs.
Scientific & simulation
The NVIDIA A4000 plays a crucial role in scientific research and simulations. Its immense parallel processing power makes it a perfect choice for solving complex mathematical equations and running simulations in physics, chemistry, engineering and other scientific domains.
Professional workstations
Architects, designers, and engineers integrate the NVIDIA A4000 GPU into their workstations to accelerate 3D modeling, rendering, and CAD (Computer-Aided Design). The A4000 seamlessly renders lifelike graphics, ensuring accurate simulation results and greater performance at an incredibly affordable price.
Browse alternative GPU solutions for your workloads
Access a wide range of performant NVIDIA and AMD GPUs to accelerate your AI, ML & HPC workloads
An NVIDIA preferred partner for compute
We're proud to be an NVIDIA preferred partner for compute, offering the latest GPUs and high-performance computing solutions.
Also trusted by our other key partners:
Frequently asked questions
Talk to sales
Reserve GPUs. Access a RTX A4000 GPU Cloud alongside other high performance models for as long as you need it.
Deployment & scaling. Seamless deployment alongside expert installation, ready to scale as your demands grow.
"CUDO Compute is a true pioneer in aggregating the world's cloud in a sustainable way, enabling service providers like us to integrate with ease"
Get started today or speak with an expert...
Available Mon-Fri 9am-5pm UK time