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IntroductionIn the rapidly evolving landscape of digital creativity, HP's AI Studio emerges as a transformative platform designed to empower creators, developers, and innovators. As generative AI continues to redefine how content is produced, AI Studio by HP provides a robust ecosystem that integrates cutting-edge technologies with user-friendly tools to streamline workflows and unlock new creative possibilities. In-Depth Features of AI StudioAI Studio is built on the foundation of high-performance computing and intuitive design. It seamlessly integrates with Z by HP workstations powered by NVIDIA GPUs, offering creators the computational power needed to train and deploy complex AI models.Key capabilities include:Pre-trained and Custom Models: Access a library of pre-trained models or build your own using the intuitive training interface. Model Testing Environment: Evaluate performance and accuracy before deployment. Collaboration Tools: Real-time team collaboration for AI-driven proje

This demo shows how AI Studio connects with NVIDIA's NGC Catalog, giving you quick access to hundreds of ready-to-use AI models. Instead of building models from scratch, you can simply search, download, and use pre-made models for tasks like image recognition, text analysis, and speech processing.It also explains how to add these models to your projects in just four simple steps and shows real examples of how they work. This makes creating AI applications much faster and easier, letting you focus on solving problems rather than training models.Video:  

 Hi, I’m Rick Gosalvez, AI Product @ HP, and I recently had the chance to speak at AI Summit London about the work we’re doing with HP AI Studio—and what’s coming next.It was a fantastic event. The energy around AI this year is unlike anything I’ve seen before, and it was exciting to share how we’re helping teams build AI securely, on their own terms.Why HP AI Studio?Many of the customers I work with are asking the same question: “How can we build AI using our own data—without sending it to the cloud?”That’s exactly what HP AI Studio was designed for. It’s a platform that allows teams to train and develop custom AI models directly on-premises—without giving up control, privacy, or performance.If you have sensitive data, strict IT policies, or cost concerns around cloud usage, this is your solution.🚀 What We Just LaunchedAt the summit, I announced two features I’m particularly proud of:✅ BlueprintsThese are pre-configured workflows that get you building fast. Add your data, click throu

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

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

Hello, I am trying to open my HP AI studio, I downloaded it from the page you can see before in my local machine. In theory I meet all the hardware and software requirements, I have installed Cuda and WSL 2 is fine. But HP AI studio is stuck in "configuring certificates" while trying to open it (see image below). What can I do? Thank you in advance for your help.

 The ZBook Ultra: Power Meets Portability for Creators and DevelopersIf you’re juggling creative projects and AI development on the go, the new HP ZBook Ultra might be your next favorite tool. In this quick walkthrough, a user shares their first impressions after a few weeks of hands-on experience—and it’s all praise.Compact Form, Full-Size PowerDespite its slim, portable frame, the ZBook Ultra packs a full-size keyboard that’s comfortable for everyday work. It’s noticeably smaller than traditional 15" or 16" laptops, but with no compromise in performance or usability.Built for Creatives and GamersThis specific model includes 128GB of RAM and a vibrant OLED display with a 128Hz variable refresh rate. Whether you’re editing video, designing, gaming, or just browsing, the screen delivers buttery-smooth visuals and deep contrast.AI PC with NPU for Smarter PerformanceAs an AI PC, the ZBook Ultra includes a Neural Processing Unit (NPU) designed to optimize AI workloads and extend battery li

I was hoping to get some context for two error codes (2503, 2502) when trying to install AI Studio. Please advise. Thank you for your time.

I’m new to HP AI Studio and wanted to use the product to learn how to train models. I’m currently running into the issue of it using 80% of my CPU when the AI Studio is open without it running any tasks or projects while using 0% of the GPU. How am I supposed to use this platform if it already consumes that much of my cpu when it’s doing nothing?! Specs:CPU : 12th gen Intel i7-12650HGPU: RTX 3070Ti LaptopMemory: 32gb 4800 MT/s

 When it comes to AI development, having the right tools isn't just helpful—it’s transformative. That’s exactly how Senior Data Scientist, Robert Luchiani, feels about the HP Z6 workstation. In his words, “The Z6 is actually a one-man army.”Traditionally, running high-end AI workloads meant relying on a fleet of machines in a data center. But the Z6 breaks that mold. With the power to consolidate what’s typically spread across many machines, Robert and his team can now operate independently on a single workstation—no more waiting in line for cloud access or coordinating across shared infrastructure.This workstation is equipped with three Blackwell GPUs (96GB each), allowing you to run multiple large AI models at once. It's not just for testing—it's for building and deploying real-world systems.The Z6 is whisper-quiet, incredibly reliable, and designed for multi-user workflows. Robert even keeps one in his bedroom running for days without issue.Whether you're developing multimodal model

Getting issue while installing HP AI Studio

 This project compares two convolutional neural network architectures on the Fashion MNIST dataset:SimpleCNN: A basic CNN with 2 convolutional layers. DeeperCNN: A deeper CNN with 4 convolutional layers.The goal is to evaluate and visualize the marginal performance differences between these models using accuracy, loss, ROC curves, and probability-based visualizations. How to Run Create New AIS Project    Install dependencies: pip install -r requirements.txt3. Run the notebook: Open fashion_mnist_comparison.ipynb in Jupyter Lab and execute all cells sequentially. Resources:https://github.com/HPInc/aistudio-samples/tree/main/hackathon-sample-projects/hackathon-retail-MNIST

Hi everyone,I work at a marketing agency where I handle web development, campaign management, and paid ads. I’m currently using a Windows ThinkPad laptop, but lately, it’s been lagging and slowing down my workflow.I’ve heard good things about HP laptops being faster and more efficient for multitasking. I’m considering switching — mainly to improve speed and productivity.

This demo shows how to download code and use AI Studio to run the notebooks and scripts for predicting the Remaining Useful Life (RUL) of turbofan engines using a Recurrent Neural Network (RNN) model. The project is inspired by the work on Weibull Time-To-Event Recurrent Neural Networks (WTTE-RNN) for churn modeling, as detailed in this blog post.Start with this git repo. Watch the demo for step by step instructions on using the code in the AIS project.Most importantly, have fun!

 Overview This project implements an AI-powered system for marketers and IT managers to identify potential customers based on their technologynology adoption patterns. The system uses natural language processing to match user profiles with specific queries, enabling targeted marketing and product recommendations based on technology adoption behaviors.Features Natural language query interface for finding similar technology users Semantic search using sentence transformers MLflow integration for model versioning and deployment Interactive demo interface with visual gauge indicators Comprehensive technology user profile analysis Support for filtering based on adopter categories and technology preferencesAI Studio Benefits for Technology Adoption Projects Custom workspace configuration allows tailoring resources to specific technology adoption model needs Connect to multiple data stores across local and cloud networks, essential for accessing user behavior data from different sources Local

OverviewThis project implements an AI-powered system for banking relationship managers to identify suitable customers for personalized product recommendations. The system uses natural language processing to match customer profiles with specific queries, moving beyond traditional rule-based targeting to a more nuanced approach.Features Natural language query interface for finding similar customers Semantic search using sentence transformers MLflow integration for model versioning and deployment Interactive demo interface Comprehensive customer profile analysis Support for filtering based on credit scores and other metricsAI Studio Benefits for Banking ProjectsCustom workspace configuration allows tailoring resources to specific banking model needs Connect to multiple data stores across local and cloud networks, essential for accessing sensitive banking data from different secure sources Local computation capabilities support processing large financial datasets without network vulnerabil

This is an example of AI Studio project for predicting Crypto prices. This tool creates a "what-if" scenario showing how stock and cryptocurrency prices might behave over time. Think of it like a weather forecast, but for financial markets. Instead of using real market data, it creates realistic fictional price movements based on mathematical models.Steps to get it running in AI Studio:Copy (git clone) the code to your local machine: Open AI Studio, create New Project or add a Worksp[ace to an existing Project. Drag and drop the Notebook and requirements.txt to the Workspace Install the requirements (from AIS Terminal) Run the Notebook!git repo: https://github.com/HPInc/aistudio-samples/tree/main/hackathon-sample-projects/Stocks-cryptoStep by step Walkthrough:https://vimeo.com/1076094469?share=copy