Latest news with #NVIDIAGraceBlackwell
Channel Post MEA
13 hours ago
- Business
- Channel Post MEA
Vertiv to Showcase its AI Solutions at NVIDIA GTC Paris
Vertiv's announcement of its participation at NVIDIA GTC Paris , taking place from June 10 to 12, 2025, at Paris Expo Porte de Versailles, underscores the company's strategic commitment to pioneering AI infrastructure and developing high-density power and liquid cooling solutions specifically designed for NVIDIA's advanced AI computing systems. At booth P06, Vertiv technology experts will present a leap into the near future, unveiling the next generation of power and cooling infrastructure engineered for the most demanding AI workloads — from edge inference to hyperscale AI factories. Visitors will experience firsthand how Vertiv is powering the AI revolution through high-efficiency power systems, advanced liquid cooling and scalable infrastructure solutions. 'AI demands infrastructure that can deliver unprecedented levels of performance, energy efficiency, and reliability,' said Karsten Winther, president of Vertiv in EMEA. 'Our presence at NVIDIA GTC Paris and our collaboration with iGenius for the Colosseum supercomputer underline how Vertiv is leading the way in developing mission-critical infrastructure solutions that enable organizations to harness the full potential of AI while meeting strict requirements for energy efficiency and security.' As recently announced, iGenius has collaborated with Vertiv and NVIDIA to launch the Colosseum supercomputer, a sovereign AI initiative accelerated by NVIDIA Grace Blackwell superchips. Designed to meet the sovereignty and performance demands of industries like finance, healthcare, and public administration, the Colosseum supercomputer brings together: Vertiv 360AI infrastructure platform, engineered for NVIDIA GB200 NVL72 systems NVIDIA accelerated computing and N VIDIA Omniverse iGenius' expertise and sovereign AI data architecture The modular, scalable solution provided by Vertiv will support one of the fastest sovereign AI supercomputers in Europe and showcase the future of digital twin-based infrastructure management and design. During the conference, experts from Vertiv, iGenius and NVIDIA will lead a dedicated session to discuss how secure, compliant, and high-performance AI infrastructure can be deployed rapidly and efficiently. To learn more about Vertiv's participation at NVIDIA GTC Paris, visit our event page .
Techday NZ
19-05-2025
- Business
- Techday NZ
NVIDIA unveils AI supercomputers for desks with DGX Spark, Station
NVIDIA has revealed that leading system manufacturers from Taiwan will produce the DGX Spark and DGX Station personal computing systems focused on artificial intelligence workloads. The company confirmed ongoing collaborations with Acer, GIGABYTE and MSI, expanding the reach of DGX Spark and DGX Station devices. The systems are intended for a global community of developers, data scientists and researchers requiring high levels of performance and efficiency from personal AI supercomputers. The company stated that enterprises, software businesses, government agencies, startups and research bodies now demand workstations that can provide server-level AI capability in desktop form. According to NVIDIA, the rise of advanced agentic AI systems, which support autonomous task execution and decision-making, is intensifying this need. The DGX Spark and DGX Station platforms are powered by the NVIDIA Grace Blackwell platform and are designed to enable model prototyping, fine-tuning and inference at desktop and data centre scales. Jensen Huang, Founder and Chief Executive Officer of NVIDIA, said: "AI has revolutionised every layer of the computing stack — from silicon to software. Direct descendants of the DGX-1 system that ignited the AI revolution, DGX Spark and DGX Station are created from the ground up to power the next generation of AI research and development." The DGX Spark system incorporates the NVIDIA GB10 Grace Blackwell Superchip and fifth-generation Tensor Cores, delivering up to 1 petaflop of AI compute and 128GB of unified memory. The system is capable of seamless model export to NVIDIA DGX Cloud or any compatible accelerated cloud or data centre infrastructure. The company indicated that DGX Spark's compact format allows developers, researchers, data scientists and students to advance generative AI projects and accelerate workloads across multiple industries. The DGX Station is designed for intensive AI workloads and features the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip. This enables up to 20 petaflops of AI performance and provides 784GB of unified system memory. The system also includes an NVIDIA ConnectX-8 SuperNIC, supporting up to 800Gb/s networking speeds for connectivity and scale across multiple stations. DGX Station can be used as a dedicated desktop for a single user working with local data on advanced AI models, or as a centralised compute resource for multiple users. The model supports partitioning using NVIDIA Multi-Instance GPU (MIG) technology, allowing up to seven distinct instances, each with its own resources. This feature positions the system as a personal cloud for data science and AI development teams. Both DGX Spark and DGX Station mirror the software environments found in industrial-scale AI facilities, operating with the NVIDIA DGX operating system and preconfigured with the most recent NVIDIA AI software stack. They also come with access to NVIDIA NIM microservices and NVIDIA Blueprints. With support for common tools, including PyTorch, Jupyter and Ollama, users of DGX Spark and DGX Station can prototype, fine-tune and run inference on local hardware, with the capability to deploy workloads to DGX Cloud or compatible cloud and data centre infrastructure. Dell Technologies is one of the first companies to develop DGX Spark and DGX Station solutions to meet the increasing enterprise demand for robust local AI computing technology. Michael Dell, Chairman and Chief Executive Officer of Dell Technologies, said: "There's a clear shift among consumers and enterprises to prioritise systems that can handle the next generation of intelligent workloads. The interest in NVIDIA DGX Spark and NVIDIA DGX Station signals a new era of desktop computing, unlocking the full potential of local AI performance. Our portfolio is designed to meet these needs. Dell Pro Max with GB10 and Dell Pro Max with NVIDIA GB300 give organisations the infrastructure to integrate and tackle large AI workloads." HP is also supporting the developments for AI-centric computing, and will provide offerings based on the new hardware. Enrique Lores, President and Chief Executive Officer of HP, said: "Through our collaboration with NVIDIA, we are delivering a new set of AI-powered devices and experiences to further advance HP's future-of-work ambitions to enable business growth and professional fulfillment. With the HP ZGX, we are redefining desktop computing — bringing data-center-class AI performance to developers and researchers to iterate and simulate faster, unlocking new opportunities." DGX Spark systems will be available for purchase from Acer, ASUS, Dell Technologies, GIGABYTE, HP, Lenovo and MSI as well as from global channel partners starting in July. Availability for DGX Station is expected from ASUS, Dell Technologies, GIGABYTE, HP and MSI later in the year.
Yahoo
19-03-2025
- Business
- Yahoo
Synopsys (NasdaqGS:SNPS) Teams With NVIDIA To Accelerate Chip Design By Up To 30x With Advanced AI Solutions
Synopsys experienced a 4% price increase last week, coinciding with significant advancements in its collaboration with NVIDIA. Announced at the GTC global AI conference, the partnership aims to enhance chip design processes up to 30 times faster using the NVIDIA Grace Blackwell platform, highlighting the impact of cutting-edge technology integration on market sentiment. The firm's efforts to optimize its computational lithography tools have resulted in dramatic speed improvements, potentially influencing investor confidence. Concurrently, major U.S. stock indexes, including the tech-heavy Nasdaq Composite, rose slightly ahead of the Federal Reserve's policy statement and economic forecasts, adding context to Synopsys's performance. Broader market movements reflected anticipation around Fed decisions and economic projections, although specific tech stocks like Nvidia gained traction separately. This environment provided a backdrop for Synopsys's positive price movement amid an overall trend of recovery and strategic progress. Buy, Hold or Sell Synopsys? View our complete analysis and fair value estimate and you decide. AI is about to change healthcare. These 24 stocks are working on everything from early diagnostics to drug discovery. The best part - they are all under $10b in market cap - there's still time to get in early. Over the last five years, Synopsys has delivered a total shareholder return of 271.38%. This significant return reflects the company's capacity to leverage technological advancements and strategic collaborations. Key factors include the March 2025 announcement of accelerated chip design processes through collaboration with NVIDIA, utilizing new NVIDIA technologies. This partnership highlights Synopsys's role in optimizing semiconductor development, which may have strengthened investor confidence in the firm's technological edge. Further, the March 2020 launch of the DesignWare MIPI C-PHY/D-PHY IP emphasized Synopsys's expansion in high-resolution imaging suitable for advanced automotive applications. The stock market also factored in the firm's robust financial strategies, marked by a substantial share buyback program initiated in December 2021, reinforcing shareholder value. However, over the past year, Synopsys's total return was below both the broad US market and the software industry, underscoring some short-term challenges amid longer-term successes. Gain insights into Synopsys' past trends and performance with our report on the company's historical track record. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Companies discussed in this article include NasdaqGS:SNPS. Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@ Sign in to access your portfolio
Yahoo
18-03-2025
- Business
- Yahoo
Synopsys Accelerates Chip Design with NVIDIA Grace Blackwell and AI to Speed Electronic Design Automation
Announcing Up to 30x Projected Performance Gains on the NVIDIA Grace Blackwell Platform to Speed Circuit Simulations for Next-Generation Semiconductors News Highlights: Today's GTC keynote featured Synopsys as part of the ecosystem with full-stack EDA suite acceleration across design, verification, and manufacturing on NVIDIA GPU and NVIDIA CUDA-X libraries. Leveraging the NVIDIA GB200 Grace Blackwell Superchip, Synopsys PrimeSim is projected to accelerate circuit simulation by up to 30x.1 Leveraging the NVIDIA B200 Blackwell architecture, Synopsys Proteus is projected to accelerate computational lithography simulations by up to 20x.1 NVIDIA NIM inference microservices integration driving 2x faster time-to-information with generative AI-powered Copilot.2 Optimizing more than 15 Synopsys solutions for NVIDIA Grace CPU in 2025. SUNNYVALE, Calif., March 18, 2025 /PRNewswire/ -- Synopsys Inc. (Nasdaq: SNPS) today announced the next phase of its work with NVIDIA to accelerate chip design up to 30x with the NVIDIA Grace Blackwell platform. To achieve this speedup, Synopsys announced at the GTC global AI conference that it is using NVIDIA CUDA-X libraries to optimize its solutions for next-generation semiconductor development. The company is also expanding support for the NVIDIA Grace CPU architecture and enabling more than 15 Synopsys solutions in 2025. "At GTC, we're unveiling the latest performance results observed across our leading portfolio when optimizing Synopsys solutions for the NVIDIA Blackwell platform to accelerate computationally-intensive chip design workflows," said Sassine Ghazi, president and CEO of Synopsys. "Synopsys technology is mission-critical to the productivity and capabilities of engineering teams from silicon to systems. By harnessing the performance of NVIDIA accelerated computing, we can help customers unlock new breakthroughs and deliver innovation even faster." "Chip design is one of the most complex engineering challenges in human history," said Jensen Huang, founder and CEO of NVIDIA. "With NVIDIA Blackwell and CUDA-X, Synopsys is cutting simulation times from days to hours—advancing chip design to power the AI revolution." Synopsys and NVIDIA are advancing a multi-year collaborative effort to accelerate electronic design automation (EDA) workloads. Synopsys is further applying NVIDIA accelerated compute architectures, including the NVIDIA GB200 Grace Blackwell Superchip, to achieve significant, projected runtime gains for workflows including circuit simulation, computational lithography, Technology Computer-Aided Design (TCAD), physical verification, and materials engineering. These accelerated workflows include: Circuit Simulation: Synopsys PrimeSim™ SPICE simulation workloads are projected to achieve a 30x speed up utilizing the NVIDIA Grace Blackwell platform. Today, customers can achieve up to 15x speed up utilizing NVIDIA GH200 Superchips. NVIDIA accelerated computing architectures enable the simulation of challenging circuits to achieve signoff with SPICE-level accuracy, reducing runtimes from days to hours. Computational Lithography: The production-proven choice for accelerating computational lithography for more than two decades, Synopsys Proteus™ provides optical proximity correction (OPC) software and inverse imaging technology (ILT) to resolve challenges at leading technology nodes. By leveraging NVIDIA technologies, Synopsys is delivering game-changing technology to advance this computationally-intensive manufacturing process. Today, Synopsys Proteus is optimized for NVIDIA H100 GPUs and integrated with the NVIDIA cuLitho library, achieving a 15x speed up of OPC. Leveraging the NVIDIA Blackwell platform, Synopsys Proteus is expected to accelerate computational lithography simulations by up to 20x. TCAD Simulation: Early results applying GPU-enabled capabilities and NVIDIA CUDA-X libraries to the Synopsys Sentauras™ TCAD process and device simulation solution is projected to accelerate time to results up to 10x. This solution is currently under development and is expected to be available to customers later this year. Materials Engineering: Synopsys QuantumATK® delivers atomic-scale modeling for semiconductor and materials research and development. Utilizing CUDA-X libraries on the NVIDIA Hopper architecture can accelerate time to results up to 100x, enabling customers to simulate and analyze a wide range of materials with greater efficiency. Synopsys plans to continue enabling accelerated computing on NVIDIA platforms throughout its portfolio. Advancing Synopsys Solutions with NVIDIA AI SoftwareSynopsys and NVDIA's efforts to accelerate chip design extend to speeding chip design with generative AI using NVIDIA NIM microservices: Generative AI Software for Chip Design: Today, customers using Synopsys' Gen AI-powered knowledge assistant, Copilot, are realizing an average 2x productivity improvement compared to prior methods. The integration of NVIDIA NIM microservices is projected to enable an additional 2x speedup for even faster time to answers.2 Optimizing Synopsys EDA with Grace CPU Additionally, Synopsys is enabling more than 15 solutions using the Grace CPU architecture for Synopsys EDA workloads spanning circuit simulation, physical verification, static timing analysis, and functional verification. The company plans to further increase support on the Grace CPU architecture in 2025. Synopsys at GTC 2025Synopsys is demonstrating at GTC 2025 March 18th through 21st in booth #222 in the Design and Simulation Pavilion. The company is also presenting sessions on semiconductor manufacturing and materials engineering and AI-driven chip design. For more information about Synopsys' presence at GTC, visit 1 Compared to CPU-based models.2 Copilot knowledge assistance without NVIDIA NIM integration. About SynopsysCatalyzing the era of pervasive intelligence, Synopsys, Inc. (Nasdaq: SNPS) delivers trusted and comprehensive silicon to systems design solutions, from electronic design automation to silicon IP and system verification and validation. We partner closely with semiconductor and systems customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. Learn more at © 2025 Synopsys, Inc. All rights reserved. Synopsys, the Synopsys logo, and other Synopsys trademarks are available at Other company or product names may be trademarks of their respective owners. Forward-Looking StatementsThis press release contains forward-looking statements, including, but not limited to, statements regarding strategies related to products, technology and services and planned product releases and capabilities. These statements involve risks, uncertainties and other factors that could cause our actual results, time frames or achievements to differ materially from those expressed or implied in such forward-looking statements. Such risks, uncertainties and factors that could affect Synopsys' results is included in filings we make with the SEC from time to time, including in the sections entitled "Risk Factors" in our latest Annual Report on Form 10-K and in our latest Quarterly Report on Form 10-Q. The information provided herein is as of March 18, 2025. Synopsys undertakes no duty to, and does not intend to, update any forward-looking statement, whether as a result of new information, future events or otherwise, unless required by law. Editorial ContactKelli WheelerSynopsys, View original content to download multimedia: SOURCE Synopsys, Inc.
