👉 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 🚀
Kicking off April 7th, HP and NVIDIA are launching an AI hackathon where developers, researchers, and innovators can build open-source AI solutions with real-world impact. Whether you're optimizing models, enhancing workflows, or creating entirely new applications, this is your opportunity to push AI development forward in a high-performance local environment.Who Can Participate?Open to U.S. participants only Limited to 1,000 accounts on HP AI StudioWhy Use HP AI Studio?HP AI Studio is designed for local AI development, providing:Secure, containerized workspaces Pre-configured environments for quick setup Seamless integration with NVIDIA NGC libraries High-performance on-prem AI workflows—no cloud dependenciesWith HP AI Studio, you get maximum performance, security, and flexibility for your AI projects. How to JoinFor details on hackathon rules, prizes, and to sign up, click here: hpaistudio.devpost.comHead over to our Hackathon page for more info about the Devpost hackathon.
This month, we’re proud to recognize Ashok Kumar Rupesh Kumar as our Ambassador of the Month.Ashok recently partnered with HP’s Edge Computing teams to prototype a remote Z by HP Workstation setup. The goal: test if enterprise AI workflows can run smoothly without local GPUs. The project demonstrated seamless remote access, multi-region model execution, and flexible experimentation—paving the way for scalable, location-independent data science.At HP’s Customer Retail Event in Paris, Ashok presented live demos using HP Z Workstations to power: Generative AI for automated content creation Computer Vision for smarter product search and recommendations He also took part in VivaTech 2024 and hosted GenAI workshops at HP Innovation Day, where he showcased an F1 Performance Cockpit—an interactive app that turns racing data into real-time strategy and predictions.Outside of work, Ashok recently ran his first 10K in Paris and continues to explore ways to make technical ideas resonate across i
I can’t find the “Local GenAI” image in my catalog. How can I enable it on my machine? (The attached screenshots below show one catalog with “Local GenAI” and another without it.)
What are the best strategies and practices to prevent or resolve errors like these?When using the HP AI Studio Platform, I often encounter pip dependency conflicts inside a Jupyter Notebook — particularly when pulling the NVIDIA NeMo framework from the HP AI Studio Images Catalog to create a new workspace—and then running Jupyter notebooks in the HP AI Blueprint “Agentic RAG for AI Studio with TRT-LLM and LangGraph” (https://github.com/HPInc/AI-Blueprints/tree/main/generative-ai/agentic_rag_with_trt-llm_and_langgraph). A similar dependency issue also occurred when running the notebooks in the “Vacation Recommendation Agent” blueprint (https://github.com/HPInc/AI-Blueprints/tree/main/ngc-integration/vacation_recommendation_agent_with_bert). In both cases, pip reports conflicts such as:ERROR: pip’s dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. numba 0.57.1+1.g5fba9aa8f req
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