This workshop is a deep dive into generative AI on the New Era AI PC. Learn how to leverage AI acceleration capabilities for GenAI across CPU, GPU, and NPU. Designed for developers, this session is a comprehensive overview of using GPU and NPU for image-based generative AI and using OpenVINO™ to optimize the implementation and deployment of AI models such as Stable Diffusion, Latent Consistency Models, and more.
We’ll explore parallels and comparisons between different GenAI algorithms and visual, multimodal capabilities on AI PC. This includes text, audio, and images while identifying lessons learned during the development and optimization process. You’ll see live demonstrations showcasing the performance and power efficiency of AI applications on the AI PC, including multimodal applications such as Kosmos-2 and Llava.
- Learn what an AI PC is, and its AI acceleration capabilities across CPU, GPU, and NPU.
- Explore a range of AI use cases, including both conventional and generative AI, and see their practical applications on AI PC.
- Discover how generative AI applications can be powered by CPU, GPU, and NPU heterogeneously to reach maximum performance and power efficiency.
- Experience live demonstrations showing how to seamlessly transition AI applications to the CPU, GPU, and NPU with OpenVINO.
- Discover how developers can experiment with and leverage OpenVINO on AI PC to enhance their generative AI projects
Presenter Bios:
Dmitriy Pastushenkov,AI PC EvangelistDmitriy has over 20 years of experience working on the enablement and optimization of real-time functional safety and AI edge workloads. |
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Garth Long,Principal Engineer in AIGarth has over 20 years of experience at Intel Corporation driving innovation and performance in various sectors including Client Computing, Internet of Things, and now the Data Center and AI Group. Garth is now focused on helping ISVs and OEMs take advantage of AI acceleration on Intel Platforms. |
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