Nvidia Adds Rescale Software Stack to AI Cloud Computing

November 9, 2022

Nvidia does not have all the internal pieces to build out its massive AI computing empire, so it is enlisting software and hardware partners to scale its so-called AI factories in the cloud. The chip maker's latest partnership is with Rescale, which provides the middleware to orchestrate high-performance computing workloads on public and... Read more…

Nvidia Introduces New Ada Lovelace GPU Architecture, OVX Systems, Omniverse Cloud

September 20, 2022

In his GTC keynote today, Nvidia CEO Jensen Huang launched another new Nvidia GPU architecture: Ada Lovelace, named for the legendary mathematician regarded as Read more…

Nvidia, Qualcomm Shine in MLPerf Inference; Intel’s Sapphire Rapids Makes an Appearance.

September 8, 2022

The steady maturation of MLCommons/MLPerf as an AI benchmarking tool was apparent in today’s release of MLPerf v2.1 Inference results. Twenty-one organization Read more…

Why AI Alone Won’t Solve Drug Discovery

August 31, 2022

Verseon is an AI-powered drug company – in theory, anyway. The Bay Area startup does use machine learning to help predict which combination of molecules will Read more…

Video: Sneak Preview of the AI Hardware Summit

August 19, 2022

Next month the AI Hardware Summit returns to the Bay Area, bringing AI technologists and end users together to share ideas and get up to speed on all the latest AI hardware developments. The event – which takes place September 13-15, 2022, at the Santa Clara Marriott, Calif. – will be co-located with the Edge AI Summit. Both events are organized by... Read more…

Tachyum CEO Talks up the Present and Future of Its Universal Chip

July 18, 2022

Chip company Tachyum has designed what it calls a "universal processor," which has been under development since the company was founded in 2016. The chip, called Prodigy, has been touted as a single chip with combined functionality of a CPU, GPU and TPU. The company has conducted... Read more…

Managing — if Not Eliminating — AI Bias, and Improving User Outcomes

July 13, 2022

Because humans are by our nature biased, our data – and our code – will necessarily be as well, said Ayanna Howard, dean of The Ohio State University College of Engineering. But there is hope: Sometimes we can leverage human bias to beneficial ends. The trick is that we need to build our systems so that, when we identify bad outcomes from bias, we can fix them rapidly. Read more…

Q&A with Intel’s Jeff McVeigh, an HPCwire Person to Watch in 2022

June 17, 2022

HPCwire presents our interview with Jeff McVeigh, vice president and general manager, Super Compute Group, Intel Corporation, and an HPCwire 2022 Person to Watc Read more…

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Whitepaper

Porting CUDA Applications to Run on AMD GPUs

Giving developers the ability to write code once and use it on different platforms is important. Organizations are increasingly moving to open source and open standard solutions which can aid in code portability. AMD developed a porting solution that allows developers to port proprietary NVIDIA® CUDA® code to run on AMD graphic processing units (GPUs).

This paper describes the AMD ROCm™ open software platform which provides porting tools to convert NVIDIA CUDA code to AMD native open-source Heterogeneous Computing Interface for Portability (HIP) that can run on AMD Instinct™ accelerator hardware. The AMD solution addresses performance and portability needs of artificial intelligence (AI), machine learning (ML) and high performance computing (HPC) for application developers. Using the AMD ROCm platform, developers can port their GPU applications to run on AMD Instinct accelerators with very minimal changes to be able to run their code in both NVIDIA and AMD environments.

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Sponsored by AMD

Whitepaper

QCT HPC BeeGFS Storage: A Performance Environment for I/O Intensive Workloads

A workload-driven system capable of running HPC/AI workloads is more important than ever. Organizations face many challenges when building a system capable of running HPC and AI workloads. There are also many complexities in system design and integration. Building a workload driven solution requires expertise and domain knowledge that organizational staff may not possess.

This paper describes how Quanta Cloud Technology (QCT), a long-time Intel® partner, developed the Taiwania 2 and Taiwania 3 supercomputers to meet the research needs of the Taiwan’s academic, industrial, and enterprise users. The Taiwan National Center for High-Performance Computing (NCHC) selected QCT for their expertise in building HPC/AI supercomputers and providing worldwide end-to-end support for solutions from system design, through integration, benchmarking and installation for end users and system integrators to ensure customer success.

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Sponsored by QCT

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