Workstations by Industry
Powerful workstations designed to accelerate Machine & Deep Learning workflows.
Powered by the AMD Epyc Genoa series processors with boost clocks up to 3.7GHz, 192 Threads and 128 PCIe 5.0 lanes for increased bandwidth, the ProStation AE is optimised for deep-learning development, where models can be created and optimised at an affordable workstation level.
With up to Quad Professional Quadro RTX or Tesla graphics and up to 512GB of ECC RDIMM memory, the Prostation XS offers an excellent platform for Deep Learning Development.
All of our systems are thoroughly tested for any potential thermal throttling and are available pre-installed with Ubuntu, and any framework you require, including CUDA, DIGITS, Caffe Pytorch, Tensorflow, Theano, and Torch.
Order code: PC-3004
No operating system
Built to Order
£4620.00
£3850.00 ex VAT
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Powered by the AMD Ryzen Threadripper Pro 7000 series processors with boost clocks up to 5.3GHz, 192 Threads and 148 PCIe 4.0 lanes for increased bandwidth, the ProStation TRP is optimised for deep-learning development, where models can be created and
optimised at an affordable workstation level.
With up to dual NVIDIA RTX or Tesla graphics and up to 2TB of ECC RDIMM memory, the Prostation TRP offers an excellent platform for Deep Learning Development.
All of our systems are thoroughly tested for any potential thermal throttling and are available pre-installed with Ubuntu, and any framework you require, including CUDA, DIGITS, Caffe Pytorch, Tensorflow, Theano, and Torch.
Order code: PC-3000
No operating system
Built to Order
£12703.38
£10586.15 ex VAT
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Design your custom workstation with our online configurator.
or call us on 02392 322700
As an NVIDIA Preferred Solutions Provider, we work closely with NVIDIA to combine our expertise and services to design, supply, and implement advanced NVIDIA computing solutions.
Development platforms are defined by price and scalability.
These are systems “typically” used by customers who are simply looking for some extra GPU compute to help drive their development work. As such, these are primarily designed around a desktop platform, and are typically used by one user at a time.
All Novatech Deep Learning systems can come with Ubuntu 16.04 server LTS operating system, and the following additional platforms are available: CUDA, DIGITS, Caffe, Caffe2, CNTK, Pytorch, Tensorflow, Theano, and Torch, if you require a Framework not listed simply speak to our team and make them aware of your need.
View systemsAll Novatech Deep Learning systems have been designed with performance and stability in mind.
All our systems go through detailed QA as well as QC inspections before being deployed, typically this is done over 24-48 hours. Training systems are defined by the users need for far higher levels of GPU compute, Scalability, and accessibility. Typically, the experiments users are running are of a more complicated nature and using much larger data sets.
These systems are normally always rack mounted and would normally use a minimum of x4 GPU’s.
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