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What happens when two developers with a passion for healthcare and explainability team up for a high-stakes hackathon? You get OpenMed—a promising agentic AI system that helps make diagnostic insights more transparent and accessible for clinicians.We caught up with Yeswanth Bharadwaij and Sriharsha “Sunny” Patallapalli, the minds behind OpenMed, to hear more about their journey through the HP + NVIDIA Hackathon and how they built their winning prototype using HP AI Studio. 💡 The Spark Behind OpenMedSunny, a former data engineer at GE Healthcare and a current Master’s student, had seen firsthand how difficult it can be for doctors to trust black-box AI systems. When he teamed up with Yeswanth, a data analyst with a finance background, the two found common ground in solving a critical pain point: how can AI support medical decisions in a way that clinicians understand and trust?That question led to OpenMed, an interpretable AI assistant designed to work with medical imaging data. By foc
Ever wonder how to turn a pile of unstructured customer feedback into clear, actionable insights—all while keeping your data fully private?Join us for a hands-on session with HP AI Engineer Ata Turhan, as he walks through a complete feedback analysis blueprint built entirely within HP AI Studio, using open-source and local tools like Llama.cpp, LangChain, LangGraph, MLflow, and Streamlit.What to ExpectIn this 45-minute live webinar, you’ll see how survey responses, internal notes, and even dogfooding data can be processed, summarized, and visualized through a local, interactive workflow. Everything runs directly in HP AI Studio—no cloud dependencies, no third-party data sharing.What You’ll Learn How to summarize and analyze unstructured feedback using open-source LLMs How to deploy a full feedback analysis pipeline locally in HP AI Studio How tools like LangGraph and MLflow can fit into a reproducible, end-to-end workflow How to replicate the entire project in your own setup in u
AI Engineers are knee deep in numbers. This is a quick poll to ask...”do you numpad”?
In the last few years, the demand for GPU resources has surged in the evolving landscape on par with the development of new AI powered tech. Traditionally, teams have relied on local workstations or cloud services to meet these needs, however, HP’s introduction of HP Z Boost offers a compelling alternative: remote access to available GPUs within your organization’s workstation.The GPU Dilemma: Local or Remote?In the established scenario where you would like to start using this software and you’re Some time ago, if you were either training a large language model, rendering 3D scenes, or fine-tuning a deep learning model for any kind of research or industry project, there was a single question that was constantly raised:“Should I invest in a beast GPU, or get some sort of remote power/cloud service?”With the arrival of tools like Z by HP Boost, the choice isn’t as black-and-white anymore and you can combine both, and not relying entirely on cloud if you have direct local access to a GPU
🚀 We’re excited to announce the winners of the HP & NVIDIA Developer Challenge!🏆 1st Place – AffectLinkAffectLink brings real-time multimodal emotion analysis to telehealth using HP AI Studio—helping clinicians uncover hidden cues and improve patient outcomes.🥈 2nd Place – Document Analysis ToolsetThis powerful toolkit uses custom-trained vision models to analyze PDFs, detect forgery, extract signatures, and track document version history.🥉 3rd Place – Mira3DMira3D transforms your surroundings into immersive 3D scenes using AI-powered Gaussian splatting.👏 Huge thanks to all participants and judges for your incredible contributions and creativity! Check out the full gallery of submissions here: https://hpaistudio.devpost.com/project-gallery
👉 Join the HP AI PC Developer PortalUnlock access to tools, resources, and a growing network of innovators—all designed to support your AI development journey.🛠️Accelerate your work with cutting-edge solutions from HP partners like Intel, AMD, and NVIDIA. 📄 White papers and technical articles to deepen your expertise 🧠 Fresh AI content and insights 🤝 A growing community of innovators like you
You can now access our full library of on-demand webinars featuring HP AI Solutions such as HP AI Studio, HP Z Boost and powerful workstations—all in one place. These sessions cover real-world workflows, technical demos, and feature deep dives from our engineering team and community experts.Whether you're interested in building agentic RAG pipelines, running local inference, or speeding up enterprise AI workloads, there's something here for you.📍 Explore the library: https://reinvent.hp.com/ai-solutionsHave a favorite session or topic you want us to cover next? Drop your feedback in the comments.
Build Accurate, Custom Agentic RAG Systems Locally with HP AI StudioWant to develop more capable RAG (Retrieval-Augmented Generation) systems using local models? On June 27th, join HP AI Engineer Ata Turhan for a live webinar showcasing how to streamline the development of advanced agentic workflows using HP AI Studio.In this session, Ata will walk through a real-world example of a local Agentic RAG pipeline that combines TRT-LLM and LangGraph to answer platform-related questions by retrieving information from Zdocs—a curated collection of documents about HP AI Studio. The workflow leverages query rewriting, memory, and tool use to generate highly accurate, reference-backed responses.You’ll get a hands-on look at how HP AI Studio makes it easy to prototype, customize, and deploy advanced AI systems directly on local hardware.What You’ll Learn: How to architect a local Agentic RAG system using HP AI Studio Techniques to improve answer quality with query rewriting, memory, and tool cal
Hello everyone! Remember, I posted an announcement about the project we did for HP in Switzerland (above). So, finally I am ready to share the results of our experiments. Late last year we received a special request from HP: to explore the NPU capabilities of their newest machines: ZBook Power (Intel Core U9, RTX 3000 Ada, 64GB) and the ZBook Firefly (Intel Core U7, RTX A500, 32 GB). As you know, HP is a global leader in computing and innovation, developing cutting-edge technology for professionals and businesses. They recently introduced the new generations of mobile workstations with NPUs. NPUs are specialized processors designed for AI and machine learning tasks. They are ideal for Natural Language Processing (NLP) and computer vision applications, reducing the load on the CPU and GPU and offering high performance. Despite their potential, many customers and partners struggle to see the benefits of using AI-powered devices or running AI workloads locally instead of in the cloud.To
We’re excited to share that a new free version of HP AI Studio is now available—giving more creators and developers access to powerful AI tools at no cost.With the free version, you’ll get access to a streamlined set of features designed to help you prototype, build, and manage AI projects with ease:Basic blueprints Pre-defined & customizable workspaces Up to 5 projects Container export Local and remote storage support Access to the NVIDIA NGC Catalog Model artifact management Run local jobs Community-based supportWhether you're testing ideas or building something new, HP AI Studio Free Edition gives you the essentials to get started fast.Ready to build with HP AI Studio for free? Get started now 🚀
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