Synopsys Users Group (SNUG)’s Post

Customers are seeking to reap the benefits of generative AI across use cases such as code creation, digital assistants, content creation (and others) using on-premises environments that maximize security and performance. They also want choice in those environments - choice in the network topologies used for the environment interconnects, choice in the silicon vendor used for the GPUs at the heart of the solutions and choice in the software stack that unlocks the value in the environments. Given the above above factors, we're delighted to announce the release of the Dell Validated Design for Generative AI with AMD, providing on-premises design guidance for an open-source based generative AI architecture with ethernet based networking using networking technologies from Dell and Broadcom combined with Dell PowerEdge compute powered by AMD MI300x and utilizing Dell PowerScale storage for the data that fuels AI initiatives. The design guide link is shown below and is required reading for your next AI initiative! #IWork4Dell Dell Technologies AMD Broadcom https://lnkd.in/e--W5Rad

Broadcom Inc has announced the availability of its 3.5D eXtreme Dimension System in Package (XDSiP™) platform technology, enabling consumer AI customers to develop next-generation custom accelerators (XPUs). The 3.5D XDSiP integrates more than 6000 mm2 of silicon and up to 12 high bandwidth memory (HBM) stacks in one packaged device to enable high-efficiency, low-power computing for AI at scale. #Broadcom #Electronics #Semiconductor

Today’s #SoC designers need to design #PCIexpress 7.0 into new #AI chip designs. First-pass silicon success is critical to meet the increasing performance and bandwidth demands of data-intensive applications. Gary Ruggles of https://lnkd.in/gw29bqyJ explains. https://lnkd.in/grp2cqrH

Alif Semiconductor Boosts Endpoint-AI with PyTorch (ExecuTorch) Integration https://lnkd.in/dRe4xU5u #Readmagazine #news #industries #Artificialintelligence #semiconductor #AlifSemiconductor #PyTorch #ExecuTorch #machinelearning #microcontroller 

Discover the next frontier in AI with HPE ProLiant Gen11. Engineered for optimal AI performance, these servers, powered by Intel® Xeon® and NVIDIA GPUs, redefine computing at the edge and data center. HPE ProLiant Gen11 is your gateway to advanced AI applications, from computer vision to natural language processing. Ready to harness the power of AI in your enterprise? Contact Abrahams Consulting LLC today and step into a new era of AI capabilities.

Graph-Driven XAI: Rethinking AI Infrastructure Cost with GPU and CPU A Case Study in Balancing Performance, Cost, and ESG Using Graph Analytics In today’s AI landscape, GPUs are often seen as the go-to solution for intensive computing. Ultipa shows that there’s a better way. With its unique CPU-centric architecture - leveraging both X86 and ARM platforms - they’ve achieved 5-10x performance improvements compared to traditional GPU-based systems, all while lowering total cost of ownership (TCO) by 70% and cutting energy consumption by 75%. This isn’t just theory; this architecture is already powering real-world applications for global customers, including financial institutions, revenue agencies, supply chain enterprises, and organizations undergoing digital transformation. Looking ahead, Ultipa is partnering with CPU, FPGA and ASIC manufacturers to further optimize costs and energy efficiency while pushing the performance envelope even further. This approach ensures superior TCO, ROI, and time-to-value (TTV), making it a future-proof solution for AI infrastructure. Join Ricky Sun to learn how this graph-augmented XAI framework is reshaping the AI infrastructure landscape, delivering unmatched performance, sustainability, and value to customers. #GraphDB #ESG #Analytics #ROI #UseCase #HPC https://lnkd.in/g3szg5xV

#AI presents a tremendous opportunity (and responsibility), and designing, deploying, and operating #AIFactories is equally hard. Specialized skills, tools, and knowledge are required. Life just got a bit easier for IT leaders looking to scale their AI infrastructure with Penguin Solutions #OriginAI.

Entering the Era of Choice in AI Putting Dell PowerEdge XE9680 Server with AMD Instinct™ MI300X Accelerators to the Test by Fine-tuning and Deploying Llama 2 70B Chat Model. #PowerEdge #AMD #iwork4dell

Discover the next frontier in AI with HPE ProLiant Gen11. Engineered for optimal AI performance, these servers, powered by Intel® Xeon® and NVIDIA GPUs, redefine computing at the edge and data center. HPE ProLiant Gen11 is your gateway to advanced AI applications, from computer vision to natural language processing. Ready to harness the power of AI in your enterprise? Contact Abrahams Consulting LLC today and step into a new era of AI capabilities.

Unlocking the Potential of RISC-V: A Game-Changer in Processor Innovation As OEMs and silicon vendors strive to innovate, reduce costs, and outpace competition, RISC-V is emerging as a transformative force in the industry. RISC-V, pronounced "risk five," is ushering in a new era of collaborative processor innovation. RISC-V's journey began in 2010 at the University of California, Berkeley, where researchers created a simple yet powerful instruction set architecture (ISA) that was open to all with minimal restrictions. Released in 2015 as a free and open-standard ISA, RISC-V allows anyone to design, manufacture, and sell processors based on its specification—without the burden of royalties or license fees. This openness has unlocked new avenues for companies to develop custom processors, fostering innovation across a diverse range of products and applications. The open-standard nature of RISC-V allows architects, designers, and developers to modify and enhance the existing ISA, creating a flexible environment that encourages experimentation and collaboration. Thanks to its adaptability and cost-saving benefits, RISC-V is rapidly gaining traction as an ideal solution for customizing computing environments without the high costs associated with proprietary ISAs. Industries are increasingly recognizing its potential, leading to its adoption in applications such as: 1. AI image sensors 2. Security management 3. AI computing 4. Machine control systems for 5G networks 5. Advanced storage, graphics, and machine learning applications The 3 Main Advantages of RISC-V: 1. Flexibility: RISC-V offers unparalleled customization and optimization opportunities, enabling faster development cycles and more efficient design trade-offs in performance, power, and area. 2. Control: By eliminating reliance on third parties and avoiding license fees, RISC-V gives developers greater control over their computing environments, allowing for fine-tuning and tailored solutions. 3. Visibility: The open nature of RISC-V provides transparency into the codebase, making it easier to understand development roadmaps and proactively address potential security risks. #innovation #techrevolution #processordesign