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Quadro RTX A6000 Hosting, Dedicated Server with RTX A6000

The NVIDIA RTX™ A6000 dedicated GPU server delivers everything designers, engineers, scientists, and artists need to meet the most graphics and compute-intensive workflows. It is the most powerful visual computing GPU for desktop workstations and large 3D datasets. Rent a dedicated server with Nvidia RTX A6000 48GB GDDR6 memory and enjoy the more realistic output of moving objects and hardware-accelerated motion blur. It also features accelerated AI denoising, which means higher quality output using fewer rendering passes.
Dedicated Server with Nvidia A40 GPU Rental

Specifications of RTX A6000 on GPU Servers

The RTX A6000 on our dedicated GPU hosting server is equipped with the latest generation RT Cores, Tensor Cores, and CUDA® cores for unprecedented rendering, AI, graphics, and compute performance.
Basic Specifications
GPU Microarchitecture
Ampere
Memory
48GB GDDR6 with error-correcting code (ECC)
Tensor Cores
336
CUDA Cores
10,752
FP16 (half)
38.71 TFLOPS (1:1)
FP32 (float)
38.71 TFLOPS
FP64 (double)
1.21 TFLOPS
CUDA
8.6
Technology Support
vGPU software support
NVIDIA vPC/vApps, NVIDIA RTX, Virtual Workstation, NVIDIA Virtual, Compute Server
Encode/decode engines
1x encode, 2x decode (+AV1 decode)
VR ready
Yes
vGPU profiles supported
1 GB, 2 GB, 3 GB, 4 GB, 6 GB, 8 GB,12 GB, 16 GB, 24 GB, 48 GB
Graphics APIs
DirectX 12.0710, Shader Model 5.1710,OpenGL 4.6811, Vulkan 1.1811
Compute APIs
CUDA, DirectCompute, OpenCL™
Other Specifications
TMUs
336
ROPs
112
TDP
300W
Memory Bus Width
384-bit
Memory Clock Speed
2000 MHz
Memory Bandwidth
768 GB/s
System Interface
PPCI Express 4.0 x16
GPU Clock speed
1410 MHz

Quadro RTX A6000 GPU Hosting Features

Hosted GPU servers contain A6000 graphics cards deliver the cutting-edge performance and features.
CUDA cores based on NVIDIA's Ampere architecture
CUDA cores based on NVIDIA's Ampere architecture
Dual-speed processing of single-precision floating-point (FP32) operations and improved power efficiency provide significant performance improvements for graphics and simulation workflows on the desktop, such as complex 3D computer-aided design (CAD) and computer-aided engineering (CAE).
Second Generation RT Cores
Second Generation RT Cores
The second-generation RT core delivers up to 2x higher throughput than the previous generation and the ability to run ray tracing with shading or denoising simultaneously, providing tremendous speed for workloads such as photorealistic rendering of cinematic content, architectural design evaluation, and virtual prototyping of product designs. This technology also speeds up the rendering of ray-traced motion blur for faster and more accurate visuals.
Third Generation Tensor Core
Third Generation Tensor Core
The new Tensor Floating 32 (TF32) precision provides 5x higher training throughput than the previous generation to accelerate AI and data science model training without any code changes. Hardware support for structural sparsity doubles inference throughput. Tensor Cores also bring AI to the graphics domain with features such as DLSS, AI denoising, and application-specific enhanced editing.
48GB DDR6 Memory
48GB DDR6 Memory
Ultra-fast GDDR6 memory, scalable to 96GB via NVLink, provides data scientists, engineers and creative professionals with the large memory needed to handle large data sets and workloads such as data science and simulation.
Virtualization Ready
Virtualization Ready
Support for NVIDIA virtual GPU (vGPU) software enables individual workstations to be repurposed into multiple high-performance virtual workstation instances, allowing remote users to share resources and drive high-end design, AI, and compute workloads.
PCI Express Gen 4
PCI Express Gen 4
Support for PCI Express Gen 4 provides twice the bandwidth of PCIe Gen 3, increasing CPU memory data transfer speeds for data-intensive tasks such as artificial intelligence and data science.

What is Nvidia RTX A6000 Dedicated Server Used for?

Renting a dedicated server with A6000 GPU and quickly commit to projects in these scenarios.
Server RTX A6000 for AI & Deep Learning
Server RTX A6000 for AI & Deep Learning
The RTX A6000 is built on the 8 nm process, and based on the GA102 graphics processor, the card supports DirectX 12 Ultimate. It features 10752 shading units, 336 texture mapping units, and 112 ROPs. It also includes 336 tensor cores, which help improve the speed of machine-learning applications
RTX A6000 is ECC supportive, and best for the enterprise level application or any large-scale deep learning task where data accuracy is critical.
Server RTX A6000 for Rendering Large Scenes
Server RTX A6000 for Rendering Large Scenes
The Nvidia RTX A6000 is ideal for rendering large scenes with its 48GB of VRAM and NVLink support. Nearly doubling the performance of the previous generation Quadros, it represents a major upgrade in every aspect. If you work with especially high-resolution renders and have scenes with a large amout of polygons, materials or effects, having 48GB of VRAM can be the difference between a smooth workflow and one plagued with 'Your GPU memory is full' errors.

What Can Be Run on Quadro RTX A6000 Hosting Server?

Here is the most running apps on A6000 GPU servers
H20.ai
TensorFlow
Torch
Keras
CAFFE
PyTorch
V-Ray
Blender
LightWave 3D
Wings 3D
Cinema 4D
Autodesk Maya

Quadro RTX A6000 GPU Hosting Pricing

The GPU dedicated server with Quadro RTX A6000 is equipped with dual Silver 5314 CPU and 258GB RAM, delivering high performance for your Deep Learning projects.
Black Friday Sale

Enterprise GPU Dedicated Server - RTX A6000

RTX A6000 delivers everything for designers, engineers, scientists, and artists need to meet the most graphics and compute-intensive workflows.
  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: Nvidia Quadro RTX A6000
  • Microarchitecture: Ampere
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 38.71 TFLOPS
1mo3mo12mo24mo
43% OFF Recurring (Was $549.00)
$ 314.00/mo

Multi-GPU Dedicated Server - 3xRTX A6000

  • 256GB RAM
  • Dual 18-Core E5-2697v4
  • 240GB SSD + 2TB NVMe + 8TB SATA
  • 100Mbps-1Gbps
  • OS: Windows / Linux
  • GPU: 3 x Quadro RTX A6000
  • Microarchitecture: Ampere
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 38.71 TFLOPS
1mo3mo12mo24mo
$ 899.00/mo

Alternatives to GPU server with Quadro RTX A6000

Get the ultimate AI experience with A6000 GPU dedicated server.
Nvidia GeForce RTX 3060 Ti Hosting

GeForce RTX 3060 Ti Hosting

For professionals. It delivers real-time ray tracing, AI accelerated computing, and high-performance graphics to desktops.
Nvidia GeForce RTX 4090 Hosting

GeForce RTX 4090 Hosting

Achieve an excellent balance between function, performance, and reliability. Assist designers, engineers, and artists to realize their visions.
RTX A5000 Hosting

RTX A5000 Hosting

Achieve an excellent balance between function, performance, and reliability. Assist designers, engineers, and artists to realize their visions.

FAQ of Quadro RTX A6000 GPU Hosting

Answers to more questions about the RTX A6000 GPU server hosting service can be found here
What is Nvidia Quadro RTX A6000 GPU dedicated Hosting?
The RTX A6000 Hosting is a dedicated server with dual Silver CPU, 256 GB RAM and SSD disks, and you can enjoy a free tech support from engineers ready to troubleshoot your hardware, operating system, and machine learning software.

What is Quadro RTX A6000 Hosting best for?

The Quadro RTX A6000 Hosting is perfect for Deep learning and 3D rendering. You get a performance boost with NVIDIA DLSS (Deep Learning Super Sampling).

Can I add more resources to my RTX A6000 server?

Yes, you can add more A6000 card resources or other hardware configurations, such as CPU, RAM, and bandwidth, to your RTX A6000 server. The additional GPU A6000 price is $349/m.

Is A6000 better than 3090?

While the Nvidia RTX A6000 has a slightly better GPU configuration than the GeForce RTX 3090, it uses slower memory. It has 768 GB/s of memory bandwidth, which is 18% lower than consumer cards (936 GB/s), so it won't beat the 3090 in games. It performs better in professional workloads that require a lot of memory.

Does the money-back guarantee apply to GPU server hosting?

Unfortunately, the money-back guarantee does not apply to GPU server hosting or any dedicated hosting service. This is because it takes a lot of time and resources to prepare the server, and no setup fee is charged. However, we would be happy to provide you a trial to test if our services meet your needs. Please leave a trial request note when purchasing.

Why is RTX A6000 hosting server best for machine learning?

New Tensor Float 32 (TF32) precision provides up to 5X the training throughput over the previous generation to accelerate AI and data science model training without requiring any code changes. Hardware support for structural sparsity doubles the throughput for inferencing. Tensor cores also bring AI to graphics with capabilities like DLSS, AI denoising, and enhanced editing for select applications. Therefore, clients can use dedicated server with RTX A6000 for AI & deep learning projects. Besides these scenarios, you can also use RTX A6000 for rendering.

Do you provide a RTX A6000 trial server?

You can request a test server if you would like to test if the chosen cofigurations of the dedicated server can support running your software. To test the internet speed to resources hosted on our servers, you can ping our data center IP at https://www.gpu-mart.com/data-center without having to wait for the test server.

Is NVIDIA A6000 good for gaming?

Although the RTX A6000 performs relatively well in all aspects, it was not created specifically for gaming. For gamers, a GeForce GTX 10 series or 20 series graphics card would be more appropriate.

RTX A6000 VS Nvidia A40, which is better?

The RTX A6000 and Nvidia A40 are comparable in performance. Both of them are the best candidates for high-performance computing, large AI computing scenarios, and high-precision enterprise-class computing.