Nvidia Announces Hybrid Classical-Quantum Lab at Jülich SC; Touts Rolls Royce Quantum Simulation

May 21, 2023

At ISC this week, Nvidia announced plans for a new hybrid classical-quantum computing lab with partners Jülich Supercomputing Centre and ParTec. The new lab is Read more…

IBM Opens Access to Latest Osprey Quantum Processor at 413 Qubits

May 9, 2023

Yesterday, IBM announced its newest quantum processor – Osprey – introduced last December is now accessible as an “as an exploratory technical demonstrati Read more…

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Microsoft and ETH Take Aim at Quantum Computing’s Hype (and Promise)

May 2, 2023

A fascinating ACM paper by researchers Torsten Hoefler (ETH Zurich), Thomas Häner (Microsoft*) and Matthias Troyer (Microsoft) – "Disentangling Hype from Pra Read more…

Quantum Centers, National Labs Tackle Workforce and Public-Private Partnering

April 28, 2023

This year, the U.S. National Quantum Initiative Act (NQIA), passed in 2018, is up for re-authorization by Congress. NQIA is a complicated $2B-plus effort and on Read more…

World Quantum Day – A Chance to Look in on NQIS Centers

April 12, 2023

The U.S. National Quantum Initiative Act (NQIA) is now four years old and the second World Quantum Day – 4.14.23 – is on Friday. Yes, it was chosen because Read more…

Will Fluxonium Qubits Join the Crowded Race for Effective Qubits?

April 12, 2023

Currently there are many qubit types under development. One that’s received relatively little notice is the fluxonium qubit. It’s a less well-studied cousin Read more…

JPMorgan Chase, QC Ware Report Progress in Quantum DL for Deep Hedging

March 30, 2023

Hedging is, of course, a ubiquitous practice in FS and there are well-developed classical computational approaches for implementing this risk mitigation strateg Read more…

Nvidia Advances Hybrid Quantum with Introduction of DGX Quantum Platform

March 21, 2023

Nvidia’s homegrown combined CPU and GPU offering, called Grace Hopper, has been slow out of the gate, but the chipmaker is finding a new use for it in enabling hybrid quantum computing. The Grace Hopper chip is being used alongside Quantum Machines' quantum hardware to facilitate quantum-classical computing. Read more…

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Powering Up Automotive Simulation: Why Migrating to the Cloud is a Game Changer

The increasing complexity of electric vehicles result in large and complex computational models for simulations that demand enormous compute resources. On-premises high-performance computing (HPC) clusters and computer-aided engineering (CAE) tools are commonly used but some limitations occur when the models are too big or when multiple iterations need to be done in a very short term, leading to a lack of available compute resources. In this hybrid approach, cloud computing offers a flexible and cost-effective alternative, allowing engineers to utilize the latest hardware and software on-demand. Ansys Gateway powered by AWS, a cloud-based simulation software platform, drives efficiencies in automotive engineering simulations. Complete Ansys simulation and CAE/CAD developments can be managed in the cloud with access to AWS’s latest hardware instances, providing significant runtime acceleration.

Two recent studies show how Ansys Gateway powered by AWS can balance run times and costs, making it a compelling solution for automotive development.

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How to Save 80% with TotalCAE Managed On-prem Clusters and Cloud

Five Recommendations to Optimize Data Pipelines

When building AI systems at scale, managing the flow of data can make or break a business. The various stages of the AI data pipeline pose unique challenges that can disrupt or misdirect the flow of data, ultimately impacting the effectiveness of AI storage and systems.

With so many applications and diverse requirements for data types, management systems, workloads, and compliance regulations, these challenges are only amplified. Without a clear, continuous flow of data throughout the AI data lifecycle, AI models can perform poorly or even dangerously.

To ensure your AI systems are optimized, follow these five essential steps to eliminate bottlenecks and maximize efficiency.

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