GIGABYTE Rolls Out Cloud-scale Solutions for Intel Xeon 6 Processor
GIGABYTE Technology, Giga Computing, a subsidiary of GIGABYTE and an industry leader in servers and industrial motherboards, today launched products supporting Intel Xeon 6 Processor (LGA 4710) with Efficient-cores in a single or dual socket configuration. GIGABYTE's new products span its entire enterprise portfolio from GPU servers to liquid cooling servers to motherboards. With Intel's new processor roadmap addressing a broad range of compute needs in the server market, Efficient-cores (E-cores) and Performance-cores (P-cores) have their unique advantages, and both are supported on this platform. E-cores are available today, with P-core products becoming available in the future. The solutions within have distinct advantages for cloud, networking and media, and data services workloads that value consistent performance, greater energy efficiency, and dense rack and core density.
GIGABYTE's enterprise portfolio for the Intel Xeon 6 processor spans GPU servers, direct liquid cooling (DLC) servers, multi-node servers, general purpose motherboards and servers, and edge servers. By releasing a wide range of servers, data centers can quickly integrate it to achieve dynamic goals such as in GIGA POD, a rack-scale supercomputing AI infrastructure by GIGABYTE. The new Xeon based servers by GIGABYTE are also highly compatible with cloud-native software stacks for portability and consistency in containerized applications in distributed systems.
GIGABYTE's enterprise portfolio for the Intel Xeon 6 processor spans GPU servers, direct liquid cooling (DLC) servers, multi-node servers, general purpose motherboards and servers, and edge servers. By releasing a wide range of servers, data centers can quickly integrate it to achieve dynamic goals such as in GIGA POD, a rack-scale supercomputing AI infrastructure by GIGABYTE. The new Xeon based servers by GIGABYTE are also highly compatible with cloud-native software stacks for portability and consistency in containerized applications in distributed systems.