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GPU 解决方案

单个 GPU 的计算能力相当于 100 个 CPU,因此可帮助科学家解决以前无法解决的问题。 Altair 的 GPU 解决方案可帮助客户优化设计,从而改善产品性能和最终用户体验,实施高级监控和预测性维护,降低运营成本,以及延长产品寿命。 GPU 在现代高性能计算 (HPC)、人工智能 (AI) 和机器学习应用程序框架中至关重要。

NVIDIA 和 ALTAIR

NVIDIA GPU 提供支持,将 AI 推向科学新高度

NVIDIA 的 Dai Yang 博士和 Michael Liebenthron 讨论了使用全球首个基于 NVIDIA A100 Tensor Core GPU 构建的 AI 系统 DGX A100,将人工智能和仿真推向科学新高度。

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优化设计,提高产品性能和最终用户体验

通过 GPU 加快数值仿真速度,意味着能更好地研究和调整设计,并根据更准确的结果更快地做出决策。 可以在 GPU 中对多物理场进行准确仿真,在本地或云中实现灵活且多环境的研究和评估方案,显著加快设计工作流程。

降低运营成本并延长产品寿命

GPU 能够显著提高速度和吞吐量,从而缩短产品上市时间。 客户可以自由部署更节能的计算系统,并能在本地或云中创建灵活的设计和仿真混合环境。

实施高级监控和预测性维护

与同等配置的 CPU 相比,在执行密集的计算操作时速度提高了六倍,使您的产品在现实世界中先对手一步。

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让您的渲染画面栩栩如生

随着渲染越来复杂,质量越来越高,各个行业的设计师、工程师和美工都在努力寻找比以往更快的速度制作视觉上更丰富的内容,同时克服基于 CPU 的低效解决方案带来的局限性。

Altair 基于物理的全局照明渲染器,可在 GPU 中提供近乎完美的可扩展性,它具有多个引擎,能够创造出色的逼真场景和复杂动画。 Altair 可通过功能强大的 GPU,提供高效且完备的渲染解决方案,从桌面上的交互式会话到数据中心的最终批量渲染全部覆盖。

特色资源

The Keys to Scalable, Cost-Effective CFD Investment

Fluid mechanics simulation is a critical tool for late-stage failure risk mitigation, as well as a driver of design insights throughout the product development process. Used across all levels of product design and validation, from design engineers seeking to understand fluid and thermal effects on a design proposal to analysts performing advanced aerodynamic modeling, Computational Fluid Dynamics (CFD) serves a broad array of applications and a range of users with varied levels of expertise. The sometimes complex and computationally intensive nature of CFD necessitates careful consideration of the software and hardware investments required to produce accurate solutions and scale them at the speed of a company’s development process.

技术文档
Future.Industry 2023 HPC presentation

Altair Expert: HPC is Exciting Again (Finally!)

Join Dr. Bill Nitzberg in conversation with Dr. Rosemary Francis from Altair as they share their enthusiasm for the future of HPC. For most of the previous two decades, HPC has been boring, with everyone using the same old plumbing (cookie-cutter clusters of connected CPU-based computers, same software, same applications, same, same, same). Over the last few years, there's been a Cambrian-like explosion in diversity, and HPC has become interesting again: cloud adoption is becoming mainstream; Intel CPUs are one of many, many, choices now, with GPUs, ARM64, AI machines, and quantum computing on the horizon, and even the business of HPC is transforming from a bottom-line expense to a top-line revenue generator for many organizations.

Presented as part of Altair's 2023 Future.Industry conference.

The presentation is in English by default.  The following languages are available by clicking on Audio Description 'AD))' on the video screen: DE, ES, FR, IT, ES, PT, KO, and CN.

Duration: 20 minutes

Future.Industry

Accelerate Decision-Making with GPUs

Harnessing the computational capabilities of the graphics processing unit (GPU) is one of the cornerstones of Altair's mission to empower its customers. First and foremost, utilizing GPUs to accelerate numerical simulation delivers significant increases in speed and therefore, throughput. That means more opportunities to explore and fine-tune designs, faster decision-making based on more accurate results, and consequently the prospect of considerable reductions in time to market. In addition, creativity is enhanced, with more vivid, realistic and accurate rendering and visualization put within easier reach.

产品概述视频

Artificial Intelligence Taking to the Cloud

This presentation outlines Oracle's vision for the future of artificial intelligence, including how AI and automation will drive the next wave of business transformation, the proliferation of technologies focused on understanding human language, intent, and context, like natural language processing (NLP), and how they are reshaping our interactions and businesses, as well as the critical role of high-performing, low-latency infrastructure in driving successful AI initiatives.

This keynote by Clay Magouyrk, Vice President for Oracle Cloud Infrastructure, was presented at the 2021 Altair HPC Summit, and is over 16 minutes long.

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