Strada的动态

In my recent focus work on Sustainability in AI and Hybrid Cloud, I found an interesting Harvard Business Review article on 'How to Make Generative AI Greener'. A few key takeaways: 1. Utilizing pre-trained models to decrease the energy demand of training from scratch. 2. Optimizing data centers for energy efficiency, focusing on advanced cooling methods and sustainable power sources 3. Encouraging transparency in carbon footprint reporting to hold companies accountable for their AI's environmental impact. https://lnkd.in/gCFkyBxN Dr. Goh at Global Marketing, HPE talks about the considerations required to develop more sustainable AI solutions. https://lnkd.in/gUV-37rb

Check out the latest news from Archetype AI: "Key advantages of on-prem AI include lightning-fast responses with low latency, enhanced security for sensitive data, and cost-efficiency compared to cloud solutions. Curious to learn how Newton can transform the way we monitor and optimize operations, from factories to construction sites? Check out our most recent blog post. Discover how lightning-fast responses, enhanced data security, and cost-efficiency can revolutionize your operations. From factory floors to construction sites, Newton is transforming the way businesses monitor and optimize their processes. Check out our latest blog post to learn more!"

?? Closing the Manufacturing Skills Gap with Generative AI! ?? Generative AI, using the Retrieval Augmented Generation (RAG) architecture, is transforming access to information in manufacturing, providing employees with fast and accurate answers. ??? By integrating AI with proprietary data, tools like smart chatbots deliver instant, relevant responses, enhancing decision-making on the factory floor. ?? This results in quicker equipment repairs and less downtime, boosting productivity and efficiency across operations. ?? Read more:?https://lnkd.in/eYDpEN9B #AWS?#GenerativeAI #Manufacturing #Innovation - - - - - - - - - - Follow me for more posts on cloud, solutions and resources Flah Ahmad

Physical AI Case Study: Edge Computing Meets Sensor Data ?? Here's how Archetype AI's Newton is transforming industrial AI deployment: Imagine running sophisticated AI models on a single GPU, no cloud required! In July 2024, we showcased Newton at?Khasm Labs Lab’s?Summer Social in Kirkland, WA. The demo was straightforward—traffic analytics at an intersection—but the real focus was on demonstrating edge deployment. Key advantages of on-prem AI: ???Lightning-fast responses with low latency ???Enhanced security for sensitive data ?? Cost-effective compared to cloud solutions From factories to construction sites, Newton is transforming how we monitor and optimize operations. Read the full case study: https://lnkd.in/ezBPsUUS #PhysicalAI #Manufacturing

Archetype AI just hit a major milestone with several technological breakthroughs in one case study. These innovations are setting new standards and opening exciting possibilities. Want to see how we're transforming the future of Newton and Physical AI? Check out our latest update!

Legacy cloud environments struggle to meet the demands of large-scale AI initiatives. In a conversation with Disruptive Tech News, Joseph Y. discussed how supercomputers drive advanced AI projects with high-speed data access and specialized hardware. Explore how HPE leads the way with energy-efficient supercomputers, empowering organizations to unlock the full potential of AI. #hp #ai #data #futureisnow at Hewlett Packard Enterprise

???Unlocking AI Potential: The Crucial Role of Storage??? As enterprises ramp up their AI initiatives, many overlook a vital component: storage. While computing power and networking often take center stage, the need for massive, high-performance storage is just as critical. ???Key Insights: **Large AI projects can generate terabytes of data, necessitating advanced storage solutions. **Traditional HDDs may not cut it for real-time AI applications; low-latency options like NVMe drives are essential. **High-capacity SSDs, though pricier, offer efficiency and space savings that can significantly benefit AI workloads. **Private clouds and co-location facilities can reduce costs by up to 60% compared to public cloud options. ???How Park Place Technologies can help: At Park Place Technologies, we specialize in providing tailored storage solutions that ensure your AI projects perform at their best. From high-capacity storage arrays to efficient data management systems, we can help you optimize your infrastructure for AI success. ?? Read the full article here from CIO Online, https://lnkd.in/dsQPv8tb #AI #DataStorage #CloudComputing #ITInfrastructure #ParkPlaceTechnologies #EnterpriseSolutions #DataManagement #NVMe #SSD #PrivateCloud #TechInnovation

Discover how lightning-fast responses, enhanced data security, and cost-efficiency can revolutionize your operations. From factory floors to construction sites, Newton is transforming the way businesses monitor and optimize their processes. Check out our latest blog post to learn more!

This is a great read! As the hype around GenAI continues to grow, it’s crucial to remember that without solid data foundations and infrastructure, the results will be superficial at best – this article is offering valuable insights for IT leaders. ? GenAI projects demand massive computing power, storage, and cooling, which can quickly lead to unsustainable costs. The article suggest innovative strategies from to manage such challenges effectively. ? Things to watch out for: -??Resource Demands: GenAI projects are resource-intensive, requiring substantial investments. Consider that carefully when running POCs! -??Strategic Approaches: Balancing on-premises and cloud infrastructure, and using small language models (SLMs) can significantly reduce costs. -??Future Trends: AI-specialised hardware and sustainable practices are on the horizon to help mitigate power consumption and expenses. ? Remember, if you are looking to harness the true potential of GenAI (and you should!), having a robust plan and investing in robust data foundations and strategic infrastructure planning are essential! https://lnkd.in/gxx4hzxq #GenAI #cloudtransformation #modernisation #innovation

Curious about Edge AI and Edge Computing? Let's break it down with a sprinkle of humour! So, imagine Edge AI as your brainy buddy who doesn't need Wi-Fi to work its magic. It's like having a pocket-sized genius that can process data faster than you can say "cloud computing." But first, let's understand Edge Computing. Picture the cloud as your favourite takeaway spot – you order, they prepare, and you wait. Now, imagine Edge Computing as having your own kitchen at home. No waiting, just instant access to delicious data right then and there! Now, let's add a dash of Artificial Intelligence to the mix! Edge AI is like having a brainiac chef in your kitchen, whipping up smart decisions without needing to consult a recipe book (or Google). AI's all about making split-second choices, whether you're driving a car, flying a drone, or chatting with your digital assistant. And hey, speaking of digital assistants, ever wonder how they know exactly what you need, even when you're offline? That's right – Edge AI at your service, making sure your queries are answered pronto, no internet required! So, whether you're cruising in a self-driving car, sending a package via drone, or unlocking your phone with a smile, remember – Edge AI is the secret sauce behind the scenes, making it all happen seamlessly. Now that's what we call smart computing! Discover more: https://bit.ly/3U7W0Pb #EdgeAI #EdgeComputing #SmartTech #ArtificialIntelligence