3XS Dev Box Pro Workstations are based on the latest PCIe NVIDIA GPU accelerators, providing you with rapid performance for developing and debugging your Deep Learning and Machine Learning models. The following dev boxes are fully configurable to meet your requirements, if you can't see the specification you would like please call 01204 474747 or email [email protected].
The 3XS DBP G1-R is an entry-level workstation for deep learning, using the power of a single NVIDIA GPU accelerator. The host CPU is from the AMD Ryzen processor series with up to 16 cores and supports up to 64GB of Corsair DDR5 memory. The chassis supports multiple SSDs and HDDs for your projects and is pre-configured with Ubuntu 22.04 plus NVIDIA Docker.
The 3XS DBP G1-C 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 Ultra processor series with up to 24 cores and supports up to 96GB of Corsair DDR5 memory. The chassis supports multiple SSDs and HDDs for your projects and is pre-configured with Ubuntu 22.04 plus NVIDIA Docker.
The 3XS DBP G2-TR is a high performance workstation for deep learning, using the power of up to two NVIDIA GPU accelerators. The host CPU is from the AMD Ryzen Threadripper PRO processor series with up to 64 cores and supports up to 1TB of ECC DDR4 memory. The chassis supports multiple SSDs and HDDs for your projects and is pre-configured with Ubuntu 22.04 plus NVIDIA Docker.
The 3XS DBP G2-X is a high performance workstation for deep learning, using the power of up to two NVIDIA GPU accelerators. The host CPU is a Intel Xeon Sapphire Rapids processor series each with up to 56 cores and support for up to 512GB of ECC Registered memory. The chassis supports multiple SSDs and HDDs for your projects and is pre-configured with Ubuntu 22.04 plus NVIDIA Docker.
The 3XS Deep Learning DBP G2-TR is a high performance workstation for deep learning, using the power of up to two NVIDIA GPU accelerators. The host CPU is from the AMD Ryzen Threadripper and AMD Ryzen Threadripper PRO 7000 processor series with up to 96 cores and supports up to 256GB of RDIMM DDR5 memory. The chassis supports multiple SSDs and HDDs for your projects and is pre-configured with Ubuntu 22.04 plus NVIDIA Docker.
3XS Dev Box Pro Fluid Workstations are based on the latest PCIe NVIDIA GPU accelerators, providing you with rapid performance for developing and debugging your Deep Learning and Machine Learning models. The following dev boxes are fully configurable to meet your requirements, if you can't see the specification you would like please call 01204 474747 or email [email protected].
The 3XS DBP G6-TR Fluid is a unique high performance watercooled workstation for deep learning, using the power of up to an unprecedented six NVIDIA GPU accelerators. The host CPU is from the AMD Threadripper PRO processor series with up to 64 cores and supports up to 512GB of ECC registered DDR4 memory. The chassis supports multiple SSDs and HDDs for your projects and is pre-configured with Ubuntu 22.04 plus NVIDIA Docker.
The 3XS DBP G6-X Fluid is a unique high performance watercooled workstation for deep learning, using the power of up to an unprecedented six NVIDIA GPU accelerators. The host CPU is from the Intel Xeon Sapphire Rapids processor series with up to 56 cores and supports up to 512GB of ECC registered DDR5 memory. The chassis supports multiple SSDs and HDDs for your projects and is pre-configured with Ubuntu 22.04 plus NVIDIA Docker.
The 3XS Deep Learning DBP G7-TR Fluid is a unique high performance watercooled workstation for deep learning, using the power of up to an unprecedented six NVIDIA GPU accelerators. The host CPU is from the AMD Threadripper PRO processor series with up to 96 cores and supports up to 512GB of RDIMM DDR5 memory. The chassis supports multiple SSDs and HDDs for your projects and is pre-configured with Ubuntu 22.04 plus NVIDIA Docker.
3XS Deep Learning Workstations are based on the latest NVIDIA GPU accelerators, providing you with rapid performance for developing and debugging your Deep Learning and Machine Learning models. This development stage will help you identify the MVP (Minimum Viable Product) and learn valuable insights from failed models before rolling out your code to a datacentre solution. Scan recommends the DGX family of products for AI training post the development stage. As an NVIDIA Elite Partner, we are qualified to discuss all datacentre enquiries and have Proof of Concept datacentre ready products available. The following dev boxes are fully configurable to meet your requirements, if you can't see the specification you would like please call 01204 474747 or email [email protected].
The 3XS DLP G1-C is a portable workstation laptop for deep learning, using the power of a single NVIDIA RTX 4080 GPU accelerator. The host CPU is from the Intel Core processor series with 24 cores and supports up to 64GB of Corsair DDR5 memory. The chassis supports 2x additional M.2 SSDs for your projects and is pre-configured with Ubuntu 22.04 plus NVIDIA Docker.