AMD EPYC UP Server Board 7000 8-Ch DDR4

AMD EPYC™ Processors
The New x86 Option
AMD’s return to the CPU segment delivers a whole new value proposition to the x86 world. Built on GIGABYTE’s extensive design expertise across a range of chipset platforms, this AMD EPYC™ platform is already receiving acclaim for its high specification:

Memory
I/O
Network connectivity
This platform is intended as an alternative for builders in the x86 space and packs a real punch in flexibility and expansion options.

Comprehensive I/O
Both single- and dual-socket CPUs come equipped with 128x PCIe lanes, providing extensive I/O options. This is a huge improvement in I/O vs. incumbent x86 offerings.
Increased I/O allows for flexibility in extending your storage, networking or compute to a level previously unattainable with standard server motherboards.
In addition, the integrated nature of the processor – designed as a system-on-chip (SoC) - means that there is no need for a separate PCH and less additional switches needed for expansion lanes.

Dense, High Speed Storage Support
Onboard M.2
GIGABYTE AMD EPYC™ platforms are designed to support on-board ‘M.2’ storage devices for time-sensitive operations and leaves room on the standard storage for compute tasks. Delivering up to 32 Gb/s data transfer speeds, M.2 offers users considerably faster storage performance than current mSATA devices.

Data Security
TPM 2.0 Module*
GIGABYTE’s EPYC™ platform is designed to support Trusted Platform Modules (TPM - discrete cryptographic on-board processors).

Carefully Selected Components
GIGABYTE’s passive components are carefully selected to guarantee a stable operating environment and allow the processors and the memory to deliver their maximum performance. GIGABYTE’s server motherboards are built with long lasting components for a high degree of reliability and durability.

NVIDIA® V100 Tensor Core GPU Support
GIGABYTE’s AMD EPYC server systems and motherboards are fully compatible and qualified to use with NVIDIA® V100 Tensor Core GPUs, an advanced data center GPU built to accelerate AI, HPC, and graphics. Powered by NVIDIA Volta™ architecture and with 640 Tensor Cores, the NVIDIA V100 has broken the 100 teraflops (TFLOPS) barrier of deep learning performance — enabling data scientists, researchers, and engineers to tackle challenges that were once impossible.