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One platform to connect people, data, tools, and compute to accelerate AI and data science model development.
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Be 10x faster without compromising on security: Tired of Docker complexity slowing down your AI projects? HP AI Studio transforms container creation from a frustrating 2-hour debugging marathon to a seamless 1-minute solution. No Dockerfile writing required. Simply name your workflow, add custom packages, and build your container. Designed specifically for data scientists and AI engineers to build secure, reproducible development environments and accelerate innovation.
Ready to experiment with state-of-the-art model families like DeepSeek, Llama and Mistral, but organizational hurdles keep slowing your down?HP AI Studio simplifies AI development with 1-click containerization, creating secure, reproducible environments in seconds. No more spending hours configuring infrastructure—just launch, develop, and deploy with confidence.Join Curtis Burkhalter, HP Product Manager, for a live webinar where we’ll walk through the entire process, from initial setup to advanced implementation.You’ll see how to:Quickly containerize AI projects without complex configurations Ensure data privacy compliance while experimenting with the latest models Save valuable development time with streamlined workflows Event Details:📅 Date: March 7, 2025⏰ Time: 9:00 - 9:30 AM PT🎤 Speaker: Curtis Burkhalter, HP Product Manager Register Here!
Traditional satellite imagery analysis can be slow and inefficient, relying on complex workflows and multiple tools. Z by HP AI Studio changes the game, reducing processing time from days to hours in a single integrated platform.Join us to discover how Z by HP AI Studio streamlines satellite data analysis into a single, integrated environment—reducing setup and processing time from days to hours.HP Product Marketing Manager Ruchi Bhatia, and Ayon Roy, Z by HP Global Data Science Ambassador will demonstrate how AI Studio accelerates deep learning workflows for geospatial analysis, from building detection to land use/land cover (LULC) classification and landslide mapping.📅 Date: January 17th, 2025🕒 Time: 9:00AM PST👉 Register now: https://reinvent.hp.com/AI-Studio-Jan-17
Z by HP AI Studio One platform to connect people, data, tools, and compute to accelerate AI and data science model development. A centralized data science platform bringing data, people, and compute together. Get fast and easy access to tools, templates, and models to collaborate on AI, machine learning, and data science on-prem projects, while spending less time on operational tasks. Deploy Projects Faster - Spend more time working with data models, AI tools, and visualizations, and less time on operational tasks. With AI Studio, you can configure, connect, and share local and remote objects at noticeable speed. Collaborate with Ease - Easily access and share data, templates, and experiments with your team. Smart, user-friendly features help you create, compare, and reuse components, exchange outputs and insights, and gather feedback to move your projects forward. Work Your Way—Online or Offline, Anytime - Tap into the right compute for your AI and data science workflows. AI Studi
Join our Nov 15th webinar to see how Z by HP AI Studio and NVIDIA NGC streamline AI development.Learn how to:🔹 Access GPU-optimized models🔹 Jumpstart projects with preconfigured tools🔹 Streamline workflows with easeJoin Product Managers, Rick Gosalvez (HP), Software Architect, Emila Grant (She/Her) (HP) and Shokoufeh Monjezi Kouchak (NVIDIA) as they walk through these game-changing tools. Register now! https://bit.ly/4elBe6u
AI Studio is designed for data scientists and AI professionals, offering seamless integration with popular AI frameworks and robust collaboration features. With its user-friendly interface, you can quickly build, train, and deploy machine learning models.Have suggestions to enhance AI Studio? 🎉 We’d love to hear them! Share your thoughts in the AI Studio Ideas Portal 👉 Submit your ideas.Your feedback plays a key role in making AI Studio even better. Let’s build something great together!
Hi DS Community! Reminder that there's less than 24 hours until the next AI Studio webinar event.ready to collaborate and hear questions. The team will have subject matter experts and experience managers ready to field questions and ideas. If you're not already using AI Studio but are interested in trying it out for yourself, you can contact the team after the event to get you onboarded. Can't wait to see you there!https://bit.ly/3MFISxkRegister Today!
Ready to dive into the future of AI workflow? Join us for "Skip the Cloud: Train AI models using local resources with AI Studio"! This engaging webinar will give you the lowdown on Z by HP’s latest AI tool that’s set to transform how you work. We’ll explore standout features, reveal how it can streamline your tasks, and answer all your questions in real-time.What to ExpectWelcome & Introduction Live Demo: AI Studio Interactive Q&A Session Next Steps and ResourcesSecure Your Spot Now—Register Here!
Just wanted to say a quick thank you for joining our first Webinar “AI Studio Live Demo: Empowering Early Access Program Participants”. It was great to have you with us, and I hope you found it useful!If you missed anything or want to check it out again, we've got the recording and some extra resources available below.Resources🎥 Webinar Recording AI Studio EAP Sign-up Form AI Studio Frequently Asked QuestionsFeel free to reach out if you have any questions or just want to chat more about what we covered. We're always happy to help!Thanks again and stay tuned for more details about next webinar in a few weeks.
Z by HP AI Studio Webinar Join us for an in-depth live demo of AI StudioWe'll highlight key features, share tips, and host a Q&A session to ensure you make the most of the platformWhat to ExpectWelcome & Introduction Live Demo: Building AI Models with Z by HP AI Studio Interactive Q&A Session Secure Your Spot Now—Register Here!
I recently upgraded my AI Studio to the most current version, but I was prompted to redownload images for environments that I’ve already downloaded in previous versions. I was wondering if anybody else was experiencing the same thing? Is this expected behavior?
When my team works on projects, sometimes we work across three or four systems and environments to experiment and complete a model. For each environment we have to configure systems to work with the notebook files and datasets we are working off of. Passing the projects assets from system to system is an inconvenience for version control, but my biggest pet peeve is configuring and restarting environments over and over again even though our core assets or system requirements have not. Just yesterday I had to work across two online notebook systems and one on-prem system each serving its own purpose, whether it was deployment, centralizing data, or accessing available GPU. It was frustrating when kernels crashed and systems had to be restarted. For my on-prem system, re-running code proved fastest to return to the prior state, whereas the online systems required environment instances to be reset, proving repetitive and time consuming. In my experience, the Z by HP AI Studio simplifies t
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