
Learn how Simcenter STAR-CCM+ 2210 will enable you model the complexity of today’s products while going faster. At the same time, GPU-accelerated CFD simulations continuously prove to offer significant calculation speedups, energy, and cost savings. Faster high-fidelity simulations through GPGPU accelerationĪerodynamics, aeroacoustics and high-fidelity heat transfer are all resource-intensive challenges for Computational Fluid Dynamics (CFD). Learn how to leverage exciting new features to explore engineering possibilities and turn complexity into a competitive advantage. Join Rodolfo Piccioli and Liam McManus as they present the most exciting new capabilities of the new release of Simcenter STAR-CCM+įind out how we continue to provide you with Computational Fluid Dynamics (CFD) capabilities to go faster while modeling the complexity. We will walk you through the latest enhancements in Simcenter STAR-CCM+ 2210.įrom GPU-enabled acceleration of high-fidelity CFD to faster and more realistic bulk material simulations from accurate next-generation fuel combustion to fully integrated cloud computation. Thank you for your support and look forward to June when Jim, myself and the team will be visiting Japan to deliver a RISC-V keynote address, and celebrate some announcements with our new Japanese customers.Watch the premiere on our YouTube channel

We are also fortunate to be working with some tremendous Japanese talent including Yasuo ISHII and Yasuhiro I. From supercomputing, to automotive, to manufacturing, not to mention one of the most exciting AI markets in the world, we look forward to serving the Japanese market under the leadership of ex-Cray Japan Country Manager Mamoru Nakano. Lots of news to come, but suffice it to say the opportunity in Japan is immense.

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Under the leadership of renowned CPU architect Jim Keller and our founder Ljubisa Bajic, Tenstorrent is designing the world's highest performing RISC-V CPU and best-in-class AI accelerators to help power the next generation of generative inference and massive scale out Machine Learning and AI training workloads. I am very excited to announce that Tenstorrent Inc.
