Bristol, UK — Graphcore announced it has raised $222m of investment to help support the company’s global expansion and accelerate future IPU silicon, systems and software development. The Series E funding round is led by Ontario Teachers’ Pensions Plan Board and adds funds managed by Fidelity International and Schroders as new investors. Also participating in this round are existing Graphcore investors, […]
AMAX Extends Line of Workstations to Support Nvidia RTX A6000 GPUs
Fremont, CA, December 15, 2020 – AMAX’s HPC and AI Solution Group announced that it is now offering a wide selection of AceleMax workstations for AI, rendering and visualization featuring the new NVIDIA RTX A6000 GPU. These powerful professional GPU workstations deliver unprecedented performance and features that will allow researchers, scientists and designers to accelerate […]
Atos GPU-Accelerated Quantum System to the Irish Centre for High-End Computing
Dublin and Paris – 17 December 2020 – Atos today announces it will deliver its first GPU-accelerated Atos Quantum Learning Machine Enhanced (Atos QLM E), the world’s highest-performing commercially available quantum simulator, to the Irish Centre for High-End Computing (ICHEC). The Atos QLM E will be integrated with the Irish national supercomputer ‘Kay’ and equipped with […]
University of Stuttgart’s Hawk HPC System to Go CPU-GPU for Deep Learning Workloads
Add the High Performance Computing Center at the University of Stuttgart (HLRS) to the list of supercomputing organizations going from CPU-only to CPU-GPU architectures. HLRS announced this morning it will add Nvidia graphic processing units to its Hawk supercomputer, a Hewlett Packard Enterprise Apollo system installed last February. One of Europe’s most powerful HPC systems, […]
Creators of MLPerf Launch MLCommons Consortium for Machine Learning Benchmarks, Metrics, Datasets, Models and Best Practices
SAN FRANCISCO – Dec. 3, 2020 – Today, open engineering consortium MLCommons launched an industry-academic partnership to accelerate machine learning innovation and broaden access to this critical technology for the public good. MLCommons will focus on: Benchmarks and Metrics – that deliver transparency and a level playing field for comparing ML systems, software, and solutions, e.g., MLPerf, […]