Exxact TensorEX 4U Deep Learning & AI Server - 2x Intel Xeon processor - TS4-672702-DPN
The TensorEX TS4-672702-DPN is a 4U rack mountable Deep Learning & AI server supporting 2x Intel Xeon Scalable processors and a maximum of 3 TB DDR4 memory. The TensorEX TS4-672702-DPN is a compute node designed and optimized for computing accelerators such as the NVIDIA® Tesla® GPUs. The TensorEX TS4-672702-DPN supports up to 10 double wide GPU cards on a single root complex PCIe bus to offer vast gains in processing time for the most supercomputing intensive applications, from cutting-edge rendering farms to the latest simulations in leading scientific research.
An EMLI Environment for Every Developer
Conda EMLI
For developers who want pre-installed deep learning frameworks and their dependencies in separate Python environments installed natively on the system.
Container EMLI
For developers who want pre-installed frameworks utilizing the latest NGC containers, GPU drivers, and libraries in ready to deploy DL environments with the flexibility of containerization.
DIY EMLI
For experienced developers who want a minimalist install to set up their own private deep learning repositories or custom builds of deep learning frameworks.
About
The TensorEX TS4-672702-DPN is a 4U rack mountable Deep Learning & AI server supporting 2x Intel Xeon Scalable processors and a maximum of 3 TB DDR4 memory. The TensorEX TS4-672702-DPN is a compute node designed and optimized for computing accelerators such as the NVIDIA® Tesla® GPUs. The TensorEX TS4-672702-DPN supports up to 10 double wide GPU cards on a single root complex PCIe bus to offer vast gains in processing time for the most supercomputing intensive applications, from cutting-edge rendering farms to the latest simulations in leading scientific research.
An EMLI Environment for Every Developer
Conda EMLI
For developers who want pre-installed deep learning frameworks and their dependencies in separate Python environments installed natively on the system.
Container EMLI
For developers who want pre-installed frameworks utilizing the latest NGC containers, GPU drivers, and libraries in ready to deploy DL environments with the flexibility of containerization.
DIY EMLI
For experienced developers who want a minimalist install to set up their own private deep learning repositories or custom builds of deep learning frameworks.