Hakim Weatherspoon’s Post

If cloud compute is a significant part of your expenses, Exostellar can help save up to 80% through live migration of workloads to the spot market. (Yes your application/workload migrates from one machine to another while it is running.) Contact me - this stuff is mindblowing.

🚀 AI-Driven Solution to Slash Semiconductor Design Costs by 80% This summer, we welcomed Arm as a customer, and now being featured by our partner Amazon Web Services (AWS) further validates the strength of our technology. We took on one of the toughest industries—where others were hesitant to engage—and turned it into a success story. Our AI-powered solution is adaptable, supporting a wide range of HPC industries, and we’re excited to share the transformative work we’re doing with other HPC companies. At Exostellar Inc., we help businesses cut cloud costs by up to 80% through AI-powered cloud optimization. By running mission-critical and long-running workloads on AWS EC2 Spot Instances, companies can significantly reduce costs without sacrificing performance or speed. Our solution automates cloud resource management, eliminates waste, and enables companies to scale more efficiently. This allows our customers to focus on innovation, knowing their infrastructure is optimized for both cost and performance. 🔗 https://lnkd.in/gXgF2BA7 #CostEfficiency #SemiconductorDesign #CloudOptimization #AWSCloud #BusinessValue #AI #HPC #DigitalTransformation #Exostellar Nayan Lad Zhiming Shen Rohan Prakash Frederic Julien

🚀 80% Cheaper and Faster Semiconductor Design with Amazon Web Services (AWS) and Exostellar Inc.! Like our customer Arm, leverage Exostellar's AI-powered autonomous cloud optimization to accelerate your chip design process for more capacity while reducing costs by up to 80% with AWS EC2 Spot Instances. Run mission-critical EDA workloads with confidence, optimizing your cloud infrastructure for both performance and cost-efficiency. Learn how industry leaders are speeding up their chip design and slashing costs with this cutting-edge solution. 🔗 https://lnkd.in/djdV6Pau #EDA #ChipDesign #CloudOptimization #AWSCloud #DigitalTransformation #SemiconductorDesign #CostEfficiency #AI #Arm #AsteraLabs Tony Shakib Nayan Lad Frederic Julien Rohan Prakash Tracy-Ann Palmer

Revolutionizing Semiconductor Design Costs 🚀 Cutting-edge solutions are changing the game in semiconductor design, and Exostellar is proud to be part of this transformation. This insightful article from AWS dives into how using Amazon EC2 Spot Instances can slash semiconductor design costs by up to 80%! 💡 If you’re looking to optimize your design process and reduce costs, don’t miss this read. #Semiconductors #AWS #CloudComputing #Innovation #CostOptimization

🚀This blog is live again. Thank you to AWS Partner, Exostellar Inc., Allan Carter and the AWS EC2 Spot Service Team for making the necessary changes that benefit our customers. Please check out the link in the post below (the image at the bottom may still give a 404 error) and let us know how you plan on using this secure and cost effective AWS partner solution to accelerate your cloud transformation! 🚀 Semiconductor design workflows are comprised of compute-intensive workloads, particularly in processes such as functional verification,  place and route (P&R), physical verification, electrical signoff or tapeout related steps. These workloads use vast amounts of high-performance computing (HPC) resources (and memory), which can quickly escalate project cost and negatively impact the program budget. Effectively managing these costs while maintaining optimal performance and scalability is critical for managing chip development budgets, especially when utilizing cloud-based EDA tools.   Discover how Exostellar Inc. on Amazon Web Services (AWS) can significantly reduce the costs associated with semiconductor design by reading this blog: https://lnkd.in/gniVnGtw Allan Carter Tony Shakib Nayan Lad Frederic Julien Neel Desai Gautham Unni Ravi Poddar, Ph.D. Tim Murnin Kanwal D. Umesh Sampat Roland Barcia Arun Santharam Erik Loen, Dana Doar Bob Doustdar #cloud #AWS #semiconductors #costoptimization #EC2SpotInstances #eda #cloudbudget #apn #cloudcomputing

🚀 𝟴𝟬% 𝗖𝗼𝘀𝘁 𝗥𝗲𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗶𝗻 𝗦𝗲𝗺𝗶𝗰𝗼𝗻𝗱𝘂𝗰𝘁𝗼𝗿 𝗗𝗲𝘀𝗶𝗴𝗻 𝘄𝗶𝘁𝗵 𝗔𝗜-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗖𝗹𝗼𝘂𝗱 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 At 𝗘𝘅𝗼𝘀𝘁𝗲𝗹𝗹𝗮𝗿, we’ve developed an 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝗰𝗹𝗼𝘂𝗱 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 solution that reduces semiconductor design costs by up to 𝟴𝟬% using 𝗔𝗪𝗦 𝗘𝗖𝟮 𝗦𝗽𝗼𝘁 𝗜𝗻𝘀𝘁𝗮𝗻𝗰𝗲𝘀. Tried and tested by our partner AWS, our technology enables companies to run mission-critical 𝗘𝗗𝗔 𝘄𝗼𝗿𝗸𝗹𝗼𝗮𝗱𝘀 faster and more efficiently, with real-time infrastructure scaling that ensures optimal performance. By automating cloud resource management, we eliminate over-provisioning and reduce costs—allowing engineers to focus on innovation, not infrastructure. Learn how our solution is driving faster, cheaper chip design: https://lnkd.in/gp7cs3uP

AWS is making big moves to help businesses stay ahead at re:Invent 2024! From improving AI performance to making data management easier, they’re all about helping companies move faster and more efficiently. The new updates are designed to simplify workflows, reduce costs, and drive innovation. AWS is truly setting the stage for the next level of cloud computing. #AWS #Innovation #CloudTech #AI #BusinessGrowth

AWS has launched its Graviton4 cloud processors, enhancing the Amazon EC2 R8g instances with up to 30% better performance and improved energy efficiency. Available in various AWS regions, these processors offer significant upgrades, including faster performance for web applications and databases, more memory bandwidth, and reduced energy consumption by up to 60%. This makes them ideal for high-performance workloads and organisations aiming to meet sustainability goals. These processors could help reduce the rising power consumption driven by AI activities. By leveraging these chips, organisations running AI workloads can achieve significant power savings while maintaining high performance, addressing both operational costs and sustainability goals. #AWS #CloudComputing #Graviton4 #Sustainability #TechInnovation #EC2 #DataCenters #AI #EnergyEfficiency

📰🚨Amazon EC2 Trn2 Instances and Trn2 UltraServers for AI/ML training and inference are now available by Jeff Barr 🚀 Exciting news! Amazon EC2 Trn2 instances & UltraServers are here, offering 4x faster ML training with 30-40% better price performance than GPUs! Perfect for frontier models. Dive into the future of AI/ML with AWS! #AWS #MachineLearning #AI #CloudComputing 🚀 #AWSNews #AWS

🚀 Amazon EC2 C7i-flex Instances Now Available in More AWS Regions! AWS just expanded the reach of its Amazon EC2 C7i-flex instances, offering even more flexibility and performance for your cloud workloads. These instances are now available in additional AWS regions, bringing cutting-edge compute power to even more global locations. What’s New with EC2 C7i-flex Instances? The C7i-flex instances are designed to offer optimal price-performance for compute-intensive applications, combining the power of the 3rd Gen Intel Xeon Scalable processors with flexible resource configurations. This makes them ideal for workloads like: • High-performance computing (HPC) • Machine learning (ML) training and inference • Scientific simulations • Video transcoding • Data analytics Key Benefits: 1. Flexibility in Resource Allocation: These instances allow you to adjust vCPU and memory resources independently, optimizing costs for your specific workload without over-provisioning. 2. Enhanced Performance: With up to 30% better price-performance than previous generation instances, C7i-flex delivers high throughput, low latency, and fast processing power. 3. Cost Optimization: The flexible nature of these instances ensures you’re only paying for what you use, helping businesses scale more cost-effectively while achieving peak performance. 4. Global Availability: With their availability in new regions, organizations can run high-performance workloads closer to end-users, reducing latency and enhancing user experiences across the globe. 📍 C7i-flex instances are available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Europe (Frankfurt, Ireland, London, Paris, Spain, Stockholm), Canada (Central), Asia Pacific (Mumbai, Seoul, Singapore, Sydney, Tokyo), and South America (São Paulo). #AWS #EC2 #CloudComputing #C7iFlex #HighPerformanceComputing #MachineLearning #DataAnalytics #AWSCloud #TechInnovation