NVIDIA Professional GPU Buyers Guide
What is an NVIDIA Professional GPU?
The GPU (Graphics Processing Unit) is the central component of a graphics card or GPU-accelerator and has the main task of accelerating visualisation or compute workloads in order to increase system performance. This is achieved by offloading data from the CPU and system memory into the GPU and GPU memory, where the architecture is much more parallel in nature - allowing many tasks to be performed simultaneously.
Professional GPUs are designed for the rendering of very high resolution images and video concurrently - both hugely parallel workloads, and because GPUs can perform parallel operations on multiple sets of data, they are also perfect for non-graphical tasks such as deep learning and other artificial intelligence (AI) workloads and HPC scientific computations.
In this guide we’ll look at the range of NVIDIA professional GPUs on the market and the different workloads they are designed to handle best. As GPU architecture and specifications are constantly evolving we’ll also offer insight into relative performance of the various generations of GPUs too.
Why Buy an NVIDIA Professional GPU?
NVIDIA professional GPU cards feature a whole host of attributes that makes them best placed to
install in business systems such as workstations and servers.
Certified Drivers
Hundreds of ISVs such as Autodesk, ANSYS, Dassault Systèmes, PTC, Siemens certify their applications with NVIDIA professional GPUs. Using certified drivers ensures optimal stability and enterprise-class customer support if you do run into any issues.
Enterprise Class
NVIDIA professional GPUs are constructed from enterprise-class components ensuring better reliability and resiliency. Failure rates of professional GPU cards are considerably lower especially when used at full load for longer periods of time.
ECC Memory
Many of the models of NVIDIA professional GPUs feature error correcting code (ECC) memory. This acts to protect data from corruption so any errors are eradicated prior to them affecting the workload being processed.
Extended Memory
NVIDIA professional GPUs feature considerably larger onboard frame buffers than consumer GPUs, enabling larger and more complex renders and compute simulations to be processed.
Security
NVIDIA professional GPUs offer higher security - for instance USB C ports on professional cards can be disabled, a critical feature if they’re deployed in secure environments or if they contain sensitive information.
Extended Warranty
NVIDIA professional GPU cards offer enhanced warranty cover. The standard warranty provides cover for 3 years in professional environments and can be extended to total of 5 years upon request.
The NVIDIA Professional GPU Hierarchy
With prices ranging from over £10,000 to as little as £130, there’s an NVIDIA professional GPU for every project and budget. The range is made up of the former Quadro and Tesla GPU families, with the addition of the latest Ampere-based cards - each having their own set of features and benefits aimed at specific tasks, which we’ll explain in the next section. To make the overview a little clearer we’ve also divided all the GPUs into five main categories relating to their performance and usage: Ultra High-End, High-End, Mid-Range, Entry-Level and Datacentre.
T1000
T400
A16, A10, T4
NVIDIA RTX Workstation GPUs
The most powerful professional visualisation and compute GPUs are the NVIDIA RTX series that based on the latest Ampere. The RTX GPU cards bring a host of features to the professional user enabling far greater creativity, control and capability.
 Real-Time Ray Tracing |
 AI |
 8K |
|---|---|---|
| The RTX platform realises the dream of real-time cinematic-quality rendering through optimised ray-tracing APIs such as Microsoft DXR - providing the ability to render photorealistic objects and environments in real time with perfectly accurate shadows, reflections, and refractions. | The RTX platform features powerful AI-enhanced capabilities into visual applications. This dramatically accelerates creativity by freeing up time and resources through intelligent manipulation of images, automation of repetitive tasks, and optimisation of compute-intensive processes. | Lifelike visuals are the result of not only how something looks, but also of how it behaves. By combining CUDA cores and APIs the RTX platform enables accurate modelling of the behaviour of real-world objects in all resolutions including native 8K video content. |
 Virtual Reality |
 Scientific Computing |
 NVIDIA GPU Cloud (NGC) |
|---|---|---|
| The RTX platform features advances in programmable shading such as variable-rate shading, texture-space shading and multi-view rendering. These enable the creation of richer visuals with more fluid interactivity with large models and scenes, and the ability to create more immersive experiences in VR. | Maximise productivity, reduce time to insight, and lower the cost of your data science projects with the new breed of RTX GPUs that contain a pre-installed software stack featuring NVIDIA RAPIDS for a fully integrated data science solution. Access to NGC is also included for further machine learning frameworks and applications. | GPU-accelerated containers, available from the NVIDIA GPU Cloud (NGC) allow multiple RTX workloads to be performed using the same systems without overlap or interference. Data, applications and frameworks are all segregated for optimum performance. |
The NVIDIA RTX platform ushers in a new generation of RTX certified applications that simulate the physical world at unprecedented speeds. Enhanced with new AI, ray tracing, and simulation technologies, RTX is a full-stack platform that enables incredible 3D designs, photorealistic simulations, and stunning visual effects in hundreds of leading content creation applications.
We’ve also mentioned that the many processing cores in a GPU are designed to process hugely parallel workloads so are ideal at delivering data science, deep learning and AI results in ever shorter time frames. However, there are a number of factors that define how quickly you can see results, the primary one being accuracy of the results required - or precision. Precision refers to the number of decimal places, or in computer terms ‘bits’ of any given result - for example 3.14 is less precise than 3.141592654. Having more bits or decimal places to represent each number gives data scientists the flexibility to represent a larger range of values, with room for a fluctuating number of digits on either side of the decimal point during the course of a computation - this is called Floating Point (FP). Within GPU specification sheets you will see terms like FP64, FP32 or FP16. FP32 refers to 32 decimal places and is termed single precision; FP64 - twice as precise at 64 decimal places is called double precision; and FP16 being half as precise is termed half-precision. The higher precision level a machine uses, the more computational resources, data transfer and memory storage it requires, so it costs more performance to calculate and it consumes more power. Since not every workload requires high precision, AI researchers can benefit by mixing and matching different levels of precision. Once an AI model is trained and ready for inference the precision is often lowered still to 8- or even 4-bits or decimal places - this is referred to as INT8 or INT4 - Integer 8 or Integer 4.
As we consider each GPU card in the guide we will offer a score from zero to ten regarding its performance for visualisation (graphical workloads), FP64, FP32, FP16 and INT8 (compute workloads) - this way you can understand any given card’s suitability for tasks or calculations thus helping you decide on the best choice for your projects.
RTX A6000
The RTX A6000 is the latest ultra-high-end workstation GPU card and the first based on the Ampere architecture which supports real-time ray tracing, accelerated AI, and photorealistic VR. It features 10,752 CUDA cores, 336 Tensor cores and 84 RT cores, combined with 48GB of server-grade error code correcting (ECC) memory and PCIe 4 connectivity. Supporting four displays the RTX A6000 is a supremely powerful graphics card for specialist workstations.
| VISUALISATION PERFORMANCE | 10 | |||||||||
| COMPUTE PERFORMANCE (FP64) | 3 | |||||||||
| COMPUTE PERFORMANCE (TF32) | 7 | |||||||||
| COMPUTE PERFORMANCE (FP32) | 10 | |||||||||
| COMPUTE PERFORMANCE (TF16) | 7 | |||||||||
| COMPUTE PERFORMANCE (FP16) | 7 | |||||||||
| COMPUTE PERFORMANCE (INT8) | 7 | |||||||||
Real Time Ray Tracing Yes
VR Ready Yes
RTX A5000
The RTX A5000 is the latest high-end workstation GPU card and the first based on the Ampere architecture which supports real-time ray tracing, accelerated AI, and photorealistic VR. It features 8,192 CUDA cores, 256 Tensor cores and 64 RT cores, combined with 24GB of server-grade error code correcting (ECC) memory and PCIe 4 connectivity. Supporting four displays the RTX A5000 is an extremely powerful graphics card for a high-end workstation.
| VISUALISATION PERFORMANCE | 9 | |||||||||
| COMPUTE PERFORMANCE (FP64) | 2 | |||||||||
| COMPUTE PERFORMANCE (TF32) | 4 | |||||||||
| COMPUTE PERFORMANCE (FP32) | 6 | |||||||||
| COMPUTE PERFORMANCE (TF16) | 5 | |||||||||
| COMPUTE PERFORMANCE (FP16) | 6 | |||||||||
| COMPUTE PERFORMANCE (INT8) | 4 | |||||||||
Real Time Ray Tracing Yes
VR Ready Yes
RTX A4000
The RTX A4000 is another new high-end workstation GPU card and is also based on the Ampere architecture which supports real-time ray tracing, accelerated AI, and photorealistic VR. It features 6,144 CUDA cores, 192 Tensor cores and 48 RT cores, combined with 16GB of server-grade error code correcting (ECC) memory and PCIe 4 connectivity. Supporting four displays the RTX A4000 is a very powerful graphics card for a high-end workstation.
| VISUALISATION PERFORMANCE | 8 | |||||||||
| COMPUTE PERFORMANCE (FP64) | 2 | |||||||||
| COMPUTE PERFORMANCE (TF32) | 4 | |||||||||
| COMPUTE PERFORMANCE (FP32) | 6 | |||||||||
| COMPUTE PERFORMANCE (TF16) | 4 | |||||||||
| COMPUTE PERFORMANCE (FP16) | 5 | |||||||||
| COMPUTE PERFORMANCE (INT8) | 4 | |||||||||
Real Time Ray Tracing Yes
VR Ready Yes
RTX A2000
The RTX A2000 is a mid-range workstation GPU, introducing the benefits of the Ampere architecture, such as ray tracing and accelerated AI at a much lower price point than the RTX A4000. It features 3,328 CUDA cores, 104 Tensor cores and 26 RT cores, combined with 6GB of server-grade error code correcting (ECC) memory and PCIe 4 connectivity. Supporting four displays the RTX A2000 is a powerful graphics card for small form factor workstations.
| VISUALISATION PERFORMANCE | 5 | |||||||||
| COMPUTE PERFORMANCE (FP64) | 1 | |||||||||
| COMPUTE PERFORMANCE (TF32) | 2 | |||||||||
| COMPUTE PERFORMANCE (FP32) | 2 | |||||||||
| COMPUTE PERFORMANCE (TF16) | 2 | |||||||||
| COMPUTE PERFORMANCE (FP16) | 3 | |||||||||
| COMPUTE PERFORMANCE (INT8) | 1 | |||||||||
Real Time Ray Tracing Yes
VR Ready Yes
NVIDIA T-series Workstation GPUs
The NVIDIA T-series of professional GPUs provide the perfect balance of performance, compelling features, and compact form factor delivering incredible creative experience and productivity across a variety of professional 3D applications. The latest T-series GPUs are based on the Turing architecture. These GPUs are certified with a broad range of sophisticated professional applications, tested by leading workstation manufacturers, and backed by a global team of support specialists.
T1000
The other mid-range graphics card in the professional range is the T1000. Based on the Turing architecture, the T1000 sports 896 CUDA cores plus 4GB of memory. Supporting four displays the T1000 is a great choice for a mid-range workstation.
| VISUALISATION PERFORMANCE | 3 | |||||||||
| COMPUTE PERFORMANCE (FP64) | 1 | |||||||||
| COMPUTE PERFORMANCE (TF32) | 1 | |||||||||
| COMPUTE PERFORMANCE (FP32) | 1 | |||||||||
| COMPUTE PERFORMANCE (TF16) | 1 | |||||||||
| COMPUTE PERFORMANCE (FP16) | 1 | |||||||||
| COMPUTE PERFORMANCE (INT8) | 1 | |||||||||
Real Time Ray Tracing No
VR Ready No
T600
The first entry-level GPU card in the professional range is the T600. Based on the Turing architecture, the T600 sports 640 CUDA cores plus 4GB of memory. Supporting four displays the T600 is a great choice for an entry-level workstation.
| VISUALISATION PERFORMANCE | 2 | |||||||||
| COMPUTE PERFORMANCE (FP64) | 1 | |||||||||
| COMPUTE PERFORMANCE (TF32) | 1 | |||||||||
| COMPUTE PERFORMANCE (FP32) | 1 | |||||||||
| COMPUTE PERFORMANCE (TF16) | 1 | |||||||||
| COMPUTE PERFORMANCE (FP16) | 1 | |||||||||
| COMPUTE PERFORMANCE (INT8) | 1 | |||||||||
Real Time Ray Tracing No
VR Ready No
T400
The most cost-effective graphics card in the professional range is the T400. Based on the Turing architecture, the T400 sports 384 CUDA cores plus 2GB of memory. Supporting three displays the P400 is a good choice for an entry-level workstation.
| VISUALISATION PERFORMANCE | 1 | |||||||||
| COMPUTE PERFORMANCE (FP64) | 1 | |||||||||
| COMPUTE PERFORMANCE (TF32) | 1 | |||||||||
| COMPUTE PERFORMANCE (FP32) | 1 | |||||||||
| COMPUTE PERFORMANCE (TF16) | 1 | |||||||||
| COMPUTE PERFORMANCE (FP16) | 1 | |||||||||
| COMPUTE PERFORMANCE (INT8) | 1 | |||||||||
Real Time Ray Tracing No
VR Ready No
NVIDIA Compute Workstation GPUs
NVIDIA also produces a limited range of compute optimised workstation GPUs. These are based on datacentre GPUs, and so provide outstanding performance at higher levels of precision such as FP64, and have active coolers so can be installed in standard workstations.
Quadro GV100
The GV100 is optimised for specialist applications that require a high level of precision at FP64 (double precision). It is based on the Volta architecture, and is equipped with 5120 CUDA cores and 640 Tensor cores. It features 32GB of HBM2 memory and supports four displays the GV100 is the ultimate graphics card for FP64 operations. Unlike the other specialist NVIDIA GPUs which are passively-cooled so can only be installed in certified servers, the GV100 is actively-cooled so can also be installed in workstations.
| VISUALISATION PERFORMANCE | 8 | |||||||||
| COMPUTE PERFORMANCE (FP64) | 8 | |||||||||
| COMPUTE PERFORMANCE (TF32) | 3 | |||||||||
| COMPUTE PERFORMANCE (FP32) | 5 | |||||||||
| COMPUTE PERFORMANCE (TF16) | 6 | |||||||||
| COMPUTE PERFORMANCE (FP16) | 7 | |||||||||
| COMPUTE PERFORMANCE (INT8) | 3 | |||||||||
Real Time Ray Tracing No
VR Ready Yes
NVIDIA Datacentre GPUs
Datacentre GPUs are passively cooled cards designed for 19in rackservers, providing high performance compute for workloads such as deep learning and AI, HPC, rendering and simulations. Alternatively, virtual GPU (vGPU), where NVIDIA visualisation and compute solutions can leverage the power of NVIDIA GPUs to deliver virtual experiences on desktops, workstations and in server environments, accelerating graphics and compute to make virtualised workspaces accessible to creative and technical professionals working from home offices, remote sites or anywhere. NVIDIA vGPU solutions deliver the ultimate user experience with the ability to support both compute and graphics workloads in hypervisor-based virtualisation environments.
 NVIDIA Virtual Compute Server (vCS) |
 NVIDIA RTX Virtual Workstation (vWS) |
 NVIDIA Omniverse |
 NVIDIA Virtual PC (vPC) |
|---|---|---|---|
| NVIDIA vCS provides the ability to virtualise GPUs and accelerate compute-intensive server workloads, including AI, Deep Learning, and HPC. | Designers and engineers working with increasingly complex models can work more efficiently, collaborate across geographies, and bring their creations to market more quickly with NVIDIA vWS. | NVIDIA Omniverse is a powerful multi-GPU real-time simulation and collaboration platform for 3D production pipelines based on NVIDIA RTX technology and building on vWS capabilities. | Workers who use graphics-intensive applications and often multi-task across dual monitors can leverage NVIDIA vPC to scale VDI deployments with a consistently appealing user experience. |
You can learn more about vGPU solutions and the most suitable GPUs to support these in our vGPU Solutions within Scan Business.
FIND OUT MOREAlternatively the GPU could be focused purely at the datacentre compute space - the NVIDIA Ampere architecture delivers unprecedented acceleration at every scale for AI, data analytics, and high-performance computing (HPC) to tackle the most toughest computing challenges. As the engine of the NVIDIA datacentre platform, Ampere-based cards can efficiently scale to thousands of GPUs or, with NVIDIA Multi-Instance GPU (MIG) technology, be partitioned into seven GPU instances to accelerate workloads of all sizes.
Optimal NVIDIA Datacentre GPUs
| Workload | A100 | A30 | A40 | A10 | A16 | T4 |
|---|---|---|---|---|---|---|
| Deep Learning Training | Yes |
Yes |
No |
No |
No |
No |
| Deep Learning Inferencing | Yes |
Yes |
No |
Yes |
No |
Yes |
| HPC | Yes |
Yes |
No |
No |
No |
No |
| Rendering | No |
No |
Yes |
Yes |
No |
No |
| Cloud Workstation | No |
No |
Yes |
Yes |
No |
No |
| Cloud PC | No |
No |
No |
No |
Yes |
Yes |
A100
The A100 is the flagship compute acceleration card for deep learning, AI, HPC and vCS workflows. It is based on the Ampere architecture and comes in two versions - either with 40GB or 80GB of HBM2 memory. Both versions feature 6912 CUDA cores and 432 Tensor cores. It is passively-cooled and designed for server installation.
| VISUALISATION PERFORMANCE | N/A | |||||||||
| COMPUTE PERFORMANCE (FP64) | 10 | |||||||||
| COMPUTE PERFORMANCE (TF32) | 10 | |||||||||
| COMPUTE PERFORMANCE (FP32) | 6 | |||||||||
| COMPUTE PERFORMANCE (TF16) | 10 | |||||||||
| COMPUTE PERFORMANCE (FP16) | 10 | |||||||||
| COMPUTE PERFORMANCE (INT8) | 10 | |||||||||
Real Time Ray Tracing No
VR Ready No
A30
The A30 is a compute acceleration card for deep learning, AI, HPC and vCS workflows. It shares the same GA100 architecture as the industry-leading A100, but with a lower specification to hit a more affordable price point. It features 3,804 CUDA cores and 24GB of super-fast HBM2 memory and is passively cooled for server installation.
| VISUALISATION PERFORMANCE | N/A | |||||||||
| COMPUTE PERFORMANCE (FP64) | 6 | |||||||||
| COMPUTE PERFORMANCE (TF32) | 7 | |||||||||
| COMPUTE PERFORMANCE (FP32) | 4 | |||||||||
| COMPUTE PERFORMANCE (TF16) | 7 | |||||||||
| COMPUTE PERFORMANCE (FP16) | ? | |||||||||
| COMPUTE PERFORMANCE (INT8) | 7 | |||||||||
Real Time Ray Tracing No
VR Ready No
A40
The A40 is a high performance compute acceleration card for deep learning, AI, HPC, vWS and vCS workflows. It is based on the Ampere architecture and features 10,752 CUDA cores, 336 Tensor cores and 84 RT cores, combined with 48GB of server-grade error code correcting (ECC) memory. Aimed at server installation, it is passively-cooled and features PCIe Gen4 connectivity.
| VISUALISATION PERFORMANCE | 10 (vGPU only) | |||||||||
| COMPUTE PERFORMANCE (FP64) | 3 | |||||||||
| COMPUTE PERFORMANCE (TF32) | 7 | |||||||||
| COMPUTE PERFORMANCE (FP32) | 10 | |||||||||
| COMPUTE PERFORMANCE (TF16) | 7 | |||||||||
| COMPUTE PERFORMANCE (FP16) | 7 | |||||||||
| COMPUTE PERFORMANCE (INT8) | 7 | |||||||||
Real Time Ray Tracing Yes
VR Ready Yes
A10
The A10 is a multi-purpose GPU that is equally at home accelerating deep learning and AI workloads or NVIDIA vGPU services such as vWS where an A40 is not required and vPC. It features 8,192 CUDA cores and 24GB of server-grade error code correcting (ECC) memory and is passively cooled for server installation.
| VISUALISATION PERFORMANCE | 9 (vGPU only) | |||||||||
| COMPUTE PERFORMANCE (FP64) | 3 | |||||||||
| COMPUTE PERFORMANCE (TF32) | 6 | |||||||||
| COMPUTE PERFORMANCE (FP32) | 8 | |||||||||
| COMPUTE PERFORMANCE (TF16) | 6 | |||||||||
| COMPUTE PERFORMANCE (FP16) | 7 | |||||||||
| COMPUTE PERFORMANCE (INT8) | 6 | |||||||||
Real Time Ray Tracing Yes
VR Ready Yes
A16
The A16 is a specialist GPU accelerator for providing VDI experiences to guest devices using NVIDIA vGPU services. Unlike other GPUs such as A40 which are optimised to drive a relatively small number of graphically demanding vWS sessions, the A16 is optimised to drive multiple vPC sessions. Featuring four Ampere GPUs each with 1,280 CUDA cores and 16GB of server-grade error code correcting (ECC) memory the A16 is ideal for sessions running every day office applications, streaming video and teleconferencing tools. The A16 is passively cooled for server installation.
| VISUALISATION PERFORMANCE | 3 (vGPU only) | |||||||||
| COMPUTE PERFORMANCE (FP64) | N/A | |||||||||
| COMPUTE PERFORMANCE (TF32) | N/A | |||||||||
| COMPUTE PERFORMANCE (FP32) | N/A | |||||||||
| COMPUTE PERFORMANCE (TF16) | N/A | |||||||||
| COMPUTE PERFORMANCE (FP16) | N/A | |||||||||
| COMPUTE PERFORMANCE (INT8) | N/A | |||||||||
Real Time Ray Tracing No
VR Ready No
Tesla T4
The T4 GPU specialises in multi-precision computing for AI inference and high-instance low-powered vGPU such as vPC deployments. Based on the Turing architecture is features 2560 CUDA cores, 320 Tensor cores and 16GB of GPU memory. It is passively-cooled and can be installed in many non-GPU specific servers thanks to its low power requirements.
| VISUALISATION PERFORMANCE | 3 (vGPU ONLY) | |||||||||
| COMPUTE PERFORMANCE (FP64) | 1 | |||||||||
| COMPUTE PERFORMANCE (TF32) | 2 | |||||||||
| COMPUTE PERFORMANCE (FP32) | 3 | |||||||||
| COMPUTE PERFORMANCE (TF16) | 4 | |||||||||
| COMPUTE PERFORMANCE (FP16) | 9 | |||||||||
| COMPUTE PERFORMANCE (INT8) | 3 | |||||||||
Real Time Ray Tracing No
VR Ready No
NVIDIA Professional GPU Summary
The below table summarises the different performance ratings listed above, so as to aid a direct comparison between cards.
| RTX A6000 | RTX A5000 | RTX A4000 | RTX A2000 | T1000 | T600 | T400 | GV100 | A100 | A30 | A40 | A10 | A16 | T4 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Visualisation Performance | 10 | 9 | 8 | 5 | 3 | 2 | 1 | 8 | N/A | N/A | 10 (vGPU only) | 9 (vGPU only) | 3 (vGPU only) | 3 (vGPU only) | |||||
| Compute Performance (FP64) | 3 | 2 | 2 | 1 | 1 | 1 | 1 | 8 | 10 | 6 | 3 | 3 | N/A | 1 | |||||
| Compute Performance (TF32) | 7 | 5 | 3 | 2 | 1 | 1 | 1 | 3 | 10 | 7 | 7 | 6 | N/A | 2 | |||||
| Compute Performance (FP32) | 10 | 8 | 6 | 2 | 1 | 1 | 1 | 5 | 6 | 4 | 10 | 8 | N/A | 3 | |||||
| Compute Performance (TF16) | 7 | 5 | 3 | 2 | 1 | 1 | 1 | 6 | 10 | 7 | 7 | 6 | N/A | 4 | |||||
| Compute Performance (FP16) | 7 | 6 | 7 | 3 | 1 | 1 | 1 | 7 | 10 | 7 | 7 | 7 | N/A | 9 | |||||
| Compute Performance (INT8) | 7 | 5 | 6 | 1 | 1 | 1 | 1 | 3 | 10 | 7 | 7 | 3 | N/A | 3 | |||||
| Ray Tracing | Yes |
Yes |
Yes |
YES |
No |
No |
No |
No |
No |
No |
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No |
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| VR Ready | Yes |
Yes |
Yes |
Yes |
No |
No |
No |
Yes |
No |
No |
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No |
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Purchasing Options
Although all our professional GPUs can be purchased as a standalone product there are two options that allow discounted pricing to be obtained.
 Workstations & Servers |
 Educational Users |
|---|---|
| If a professional GPU is purchased as part of a 3XS workstation or server build then the price per unit will be discounted when compared to the regular standalone price. | For organisations that fall into either higher education or further education sectors, supported pricing can be obtained on many of our professional GPU models. The discounts available can be further increased if purchased as part of a 3XS System too. |
| VIEW 3XS WORKSTATIONS > VIEW 3XS SERVERS > | VIEW EDUCATION SOLUTIONS > |
We hope you’ve found this professional GPU buyer’s guide helpful, however if you would like further advice on choosing the correct GPU for your use case or project, then don’t hesitate to get in touch on 01204 474747 or at [email protected]