Deep Learning & AI - Development

The 3XS DL G1000C is a entry-level workstation for deep learning, using the power of a single NVIDIA GPU accelerator. The host CPU is from the Intel Core processor series with up to 8 cores and supports up to 64GB of Corsair DDR4 memory. The chassis supports multiple SSDs and HDDs for your projects and is pre-configured with Ubuntu 16.04 plus NVIDIA Docker.

The 3XS DL G2000C is a mid performance workstation for deep learning, using the power of up to two NVIDIA GPU accelerators. The host CPU is from the Intel Core processor series with up to 8 cores and supports up to 64GB of Corsair DDR4 memory. The chassis supports multiple SSDs and HDDs for your projects and is pre-configured with Ubuntu 16.04 plus NVIDIA Docker.

The 3XS DL G4000C is a high performance workstation for deep learning, using the power of up to four NVIDIA GPU accelerators. The host CPU is from the Intel Core X processor series with up to 18 cores and supports up to 128GB of Corsair DDR4 memory. The chassis supports multiple SSDs and HDDs for your projects and is pre-configured with Ubuntu 16.04 plus NVIDIA Docker.

The 3XS DL G4000X is a high performance workstation for deep learning, using the power of up to four NVIDIA GPU accelerators. The host CPU is from the Intel Xeon W processor series with up to 18 cores and supports up to 512GB of ECC DDR4 memory helping to protect mission critical data from corruption. The chassis supports multiple SSDs and HDDs for your projects and is pre-configured with Ubuntu 16.04 plus NVIDIA Docker.

The 3XS DL G4000C Fluid is a high performance workstation for deep learning, using the power of up to four NVIDIA GPU accelerators. Compared to the standard G4000 the Fluid version has watercooled graphics cards and so is considerably quieter. The hardware configuration options are otherwise similar, with the Fluid version also coming pre-configured with Ubuntu 16.04 plus Deep Learning Software libraries from NVIDIA.

The 3XS DL G4000X Fluid is a high performance workstation for deep learning, using the power of up to four NVIDIA GPU accelerators. Compared to the standard G4000X the Fluid version has watercooled graphics cards and so is considerably quieter. The hardware configuration options are otherwise similar, with the Fluid version also coming pre-configured with Ubuntu 16.04 plus Deep Learning Software libraries from NVIDIA.

Introducing the world's most powerful Deep Learning Workstation, the DGX Station. Powered by eight NVIDIA Tesla V100 GPU accelerators specifically built for deep learning and machine learning, the DGX Station enables you to develop and iterate deep neural networks cost effectively before scaling out to a data centre. Education pricing is available on request.