Melina Acevedo’s Post

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

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!"

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!

Did you know that large foundation models in #AI have layers in their deep learning architecture? These layers are crucial for enabling complex, nuanced understanding and decision-making capabilities in AI systems. Here’s how it works: Input Layer: The first layer that receives the input data. Hidden Layers: 512 intermediate layers that perform various transformations and computations on the data. Each layer processes the data and passes it to the next, allowing the model to learn and extract complex patterns and features. Output Layer: The final layer that produces the output of the model. At Soluna Cloud, we’re leveraging this depth of learning to offer sustainable AI computing solutions. Our partnership with a leading supercomputing company allows us to deploy NVIDIA H100 GPUs, providing unmatched power and efficiency. Sign-up today and be part of the AI revolution that’s as smart as it is green: solunacloud.com #DeepLearning #EnterpriseTech #CloudComputing Performance matters... Especially when it comes to AI. ✅ 🔍 📥

So, #NVIDIA unveiled Earth-2, a #Cloud platform that uses #AI and #DigitalTwin technology for accurate weather forecasting. It introduces #CorrDiff, an AI model for weather simulations with 12.5X greater resolution, operates 1,000X quicker, and is 3,000X more energy-efficient compared to current numerical weather models. Such developments mark a significant advancement in severe weather forecasting, showcasing the transformative power of cutting-edge AI technologies. Simply incredible! Louise Francis Manoj Vallikkat #WeatherForecasting #DisasterManagement https://lnkd.in/gvsr8SgJ

Did you know that large foundation models in #AI have layers in their deep learning architecture? These layers are crucial for enabling complex, nuanced understanding and decision-making capabilities in AI systems. Here’s how it works: 📥 Input Layer: The first layer that receives the input data. 🔍 Hidden Layers: 512 intermediate layers that perform various transformations and computations on the data. Each layer processes the data and passes it to the next, allowing the model to learn and extract complex patterns and features. ✅ Output Layer: The final layer that produces the output of the model. At Soluna Cloud, we’re leveraging this depth of learning to offer sustainable AI computing solutions. Our partnership with HP Enterprise  allows us to deploy NVIDIA H100 GPUs, providing unmatched power and efficiency. Sign-up today and be part of the AI revolution that’s as smart as it is green: solunacloud.com #DeepLearning #EnterpriseTech #CloudComputing

 AI-Powered Generative Models NVIDIA's Blackwell GPUs are transforming the AI landscape by enabling the training of trillion-parameter generative models. Blackwell offers up to 30 times better inference performance compared to previous generations. Cloud providers like AWS and Microsoft Azure are adopting this technology to power advanced AI applications. With reduced energy costs and increased efficiency, Blackwell is poised to dominate data center operations, enabling advancements in language models and creative AI systems. This innovation underpins NVIDIA's vision for AI-driven industries and reaffirms its leadership in generative AI hardware... https://lnkd.in/gUHzXVJq

🚀 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

Join us tomorrow, October 29th, for a very exciting #MLOpsLive Webinar! Experts Amit Bleiweiss (NVIDIA) and Yaron Haviv (Iguazio (Acquired by McKinsey) will walk through how to build, deploy and scale #LLM and Gen AI applications using #NVIDIA NIM and #MLRun. 💻 What you'll learn: 🔎 NVIDIA NIM's architecture and insights into efficient Gen AI deployment. 👾 MLRun’s role in orchestrating and monitoring your Gen AI applications ✅ How to ensure scalability, performance, and cost efficiency. 🤳 A live demo showcasing the power of NIM and MLRun. Register today to save your seat!: https://hubs.la/Q02SVP3C0 #GenAI #AI #MLOps #NVIDIA #DataScience #AIinProduction #LLMMonitoring #MLOpsLive #MachineLearning #GPUOptimization #OpenSource

The future of mobility as EVs are becoming more sophisticated and it's the same with their technology. — Advanced connectivity — applied AI — Safety-Critical AI — Cloud and edge computing — Generative AI — Immersive-reality tech — Industrialization of machine learning — Next-generation software development