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Run AI inferencing, optimize models, and deploy across multiple platforms.
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Identify and troubleshoot performance issues in games using system, trace, and frame analyzers.
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Design for Intel® FPGAs, SoCs, and complex programmable logic devices (CPLD) from design entry and synthesis to optimization, verification, and simulation.
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In 9 Days, 16 Hours
Workshop: Build Multimodal Systems on AI PCs
May 29, 2025 | 4:00 PM
Going from voice to text to voice, this hands-on workshop uses PyTorch* to build GPU acceleration into multimodal AI PC applications. Participants learn how to implement and optimize audio-processing pipelines, combining speech recognition and speech synthesis into coherent applications. Transformer-based models will be explored, taking advantage of GPU acceleration and optimizing techniques on AI PCs. Gain real-world experience and skills for creating responsive applications and effectively generating audio.
May 29, 2025, 9:00 a.m. – 12:00 p.m. Pacific Daylight Time (PDT)
In 15 Days, 16 Hours
Webinar: Generate Code for a Stock Trading Application with DeepSeek*
June 4, 2025 | 4:00 PM
Learn how to use DeepSeek* to generate an initial stock trading application. Model inference endpoints are hosted on Intel® Gaudi® AI accelerators and deployed on Denvr Dataworks* cloud servers. The deployment is simplified with an OpenAI*-compatible API key that you can also obtain through the Amazon Web Services (AWS)* Marketplace.
June 4, 2025, 9:00 a.m. Pacific Daylight Time (PDT)
In 22 Days, 16 Hours
Webinar: Enable High-Performance Running of GNNs on Intel® NPUs
June 11, 2025 | 4:00 PM
AI PCs from Intel provide an ideal platform for graph neural network (GNN) workloads with powerful acceleration from built-in neural processing units (NPU). GNNs are crucial for tasks like retrieval augmented generation (RAG) in large language models (LLM) and event-based vision tasks. However, running GNNs involves irregular memory access and control-heavy computations, leading to high inference latency. Discover how GraNNite, a hardware-aware framework developed by Intel, optimizes running GNNs on Intel® NPUs for unparalleled performance and efficiency.
June 11, 2025, 9:00 a.m. Pacific Daylight Time (PDT)