Interested in artificial intelligence and high performance application development? Hewlett Packard Enterprise (HPE) is as well and is excited to announce its participation as a Diamond sponsor of NVIDIA GTC, September 19-22. GTC is the developer conference for the era of AI and the metaverse, exploring development, design and simulation, robotics, and applied real-time technologies. It’s an online event where students, developers, researchers, creators, IT decision-makers, and business leaders gather to learn how to shape our world with the power of AI, computer graphics, data science, and more.

Register for NVIDIA GTC now.

Hear from industry leaders from around the world through over 200+ curated conference talks—including technical, business strategy, and getting-started sessions designed to accelerate tech careers. GTC will provide networking opportunities to connect with HPE and NVIDIA experts.

Accelerate your AI with these HPE-sponsored GTC sessions

Catch our two HPE-sponsored GTC sessions, which focus on our partnership to bring you advanced technologies to accelerate your AI efforts. Find and register for them in the session catalog. NVIDIA CEO and founder Jensen Huang’s inspiring keynote is also something not to miss, so make sure you attend this event on September 20 at 8:00 a.m. PT. Click here to watch once it’s available. (Registration isn’t required to view the keynote.)

Accelerate AI by teaming up with the right crew and the best infrastructure (A41399)

Hear from Evan Sparks, Vice President of AI and HPC at HPE, as he describes the complete canonical stack required to accelerate AI–starting with the best-of-breed servers and GPU accelerators and optimized development stacks, such as HPE Machine Learning Development Environment. In this on-demand session, you’ll learn about tips and pitfalls to avoid that will help you speed up your AI projects. You’ll also hear about Champollion, an AI supercomputer built by HPE in collaboration with NVIDIA, which was recently added to the TOP500 list of the most powerful non-distributed computer systems.

Accelerating AI Edge to Cloud with NVIDIA and HPE GreenLake (A41396)

In this Simulive session, HPE subject-matter experts will cover how to combine NVIDIA with HPE GreenLake to accelerate AI edge-to-cloud services. Join in and hear Jeroen Bronkhorst, HPE GreenLake Cloud Services Portfolio Manager for AI/ML, and Terry Chiang, Data Scientist / MLOPs Product Manager for HPE Ezmeral, discuss today’s increased focus on ML model life-cycle management and the new hardware accelerators and optimized open-source tooling that’s popping up at every step of the AI model life cycle. You’ll learn about the latest innovations in data acquisition and preparation, model development and training, and model deployment and inference enabled by HPE, NVIDIA, and partner ecosystems that can be delivered as an on-premises cloud service through HPE GreenLake.

Attend our Watch Party!

NVIDIA and HPE will also be teaming up for a Watch Party, an interactive session hosted by NVIDIA to interact with other attendees via chat while you watch a GTC session together. Join Ilene Carpenter, Earth Sciences Segment Manager at HPE, and Karthik Kashinath, AI-HPC and engineering lead of Earth-2 at NVIDIA, as they host [NVIDIA's Earth-2: Progress and Challenges Towards Building a Digital Twin of the Earth for Weather and Climate A41326]. The Watch Party will be held on Thursday, September 22, at 4:30-6:00 p.m. CET. Hear about NVIDIA’s recently launched Earth-2 initiative, which aims to build digital twins of the Earth to address one of the most pressing challenges of our time – climate change. Join us and learn how NVIDIA’s Earth-2 digital twin continues to advance what is possible in the application of AI to meteorology.

Don't miss the chance to connect with AI developers and innovators at GTC, September 19-22, 2022. Register for NVIDIA GTC today! And join the NVIDIA Developer Program for free and exclusive access to SDKs, technical documentation, peer, and domain expert help. NVIDIA offers tools and training to accelerate AI, HPC, and graphics applications.