NVIDIA has teamed up with Arm and a host of tech leaders to introduce a reference design platform for enterprises to quickly build GPU-accelerated Arm-based servers.
NVIDIA hold hands with Arm and tech leaders on GPU-accelerated servers
Tag: high performance computing
NVIDIA empowers Arm with AI and HPC software
Giving customers choices and enabling innovation in the high performance computing (HPC) space are the key reasons why NVIDIA is providing support for Arm CPUs.
NVIDIA to acquire Mellanox
NVIDIA has reached a US$6.9 billion agreement to acquire Mellanox, a supplier of end-to-end Ethernet and smart interconnect solutions and services for servers and storage.
CIARA to build AMD-based high performance servers for high frequency trading
High performance systems maker CIARA has announced that it will produce an AMD-based ORION HF server line, as well as customised Blockchain platforms, running on AMD’s high-performance processors, with GPU mining cards.
NVIDIA receives DOE funding for HPC research
NVIDIA is among six technology companies to receive a total of US$258 funding from the US Department of Energy’s Exascale Computing Project (ECP).
The funding is to accelerate the development of next-generation supercomputers with the delivery of at least two exascale computing systems, one of which is targeted by 2021.
Such systems would be about 50 times more powerful than the US’ fastest supercomputer, Titan, located at Oak Ridge National Laboratory.
NVIDIA introduces Tesla K80
NVIDIA has unveiled the Tesla K80 dual-GPU accelerator designed for a wide range of machine learning, data analytics, scientific, and high performance computing (HPC) applications.
The Tesla K80 dual-GPU is the new flagship offering of the Tesla Accelerated Computing Platform, the leading platform for accelerating data analytics and scientific computing.
It combines the world’s fastest GPU accelerators, the widely used CUDA parallel computing model, and a comprehensive ecosystem of software developers, software vendors, and datacentre system OEMs.
