कोर्स
6077 कोर्स
AI in Transportation - Global Impact and Understanding of AV Computing Energy
Explore the energy demands of autonomous vehicles as they evolve into data centers on wheels, examining computing power needs from ADAS to future foundational models.
OCP Composable Memory Systems Sub-Project Technical Update
Discover scalable memory architectures and hardware-software co-designs for cloud memory expansion, pooling, and sharing in AI and general-purpose computing workloads.
Efficiently Powering the Next Wave of Agentic Reasoning Applications - Making Gen AI Attainable and Sustainable
Discover how d-Matrix enables efficient, sustainable generative AI through innovative hardware solutions for agentic reasoning applications in this 15-minute technical presentation.
Revolutionizing Networking for the Era of Agentic AI
Discover how AI agents are transforming network infrastructure requirements and learn cutting-edge solutions for next-generation distributed AI systems.
Ultra Low Power MicroLED Based Interconnects for AI Scale Up Networks
Discover how microLED technology revolutionizes AI network scaling with ultra-low power interconnects that enable thousands of GPU clusters with superior bandwidth density and energy efficiency.
Simplifying the Deployment of Agentic AI at Scale
Discover how to deploy autonomous agentic AI applications at enterprise scale through composable compute architectures and industry-standard technologies.
Turbocharging Firmware Development and Deployment using Agentic AI
Discover how Generative AI revolutionizes server firmware development through automated platform code generation, Redfish schema creation, and intelligent debugging for faster deployment.
AI in Manufacturing - Weighing Energy Footprints Against Efficiency Gains
Explore how AI deployment in manufacturing balances energy consumption with efficiency gains, featuring cement industry case studies and comprehensive energy impact analysis.
Exploring Energy Efficiency in Scientific and Industrial AI Workloads
Discover how to optimize energy consumption in AI workloads across scientific research and industrial applications through practical efficiency strategies.
Revisiting Jim Gray's 5 Minute Rule in the Storage Next Era - A First Principles Perspective
Explore a modern rethinking of Jim Gray's 5-minute rule for data placement, addressing real hardware constraints and AI workloads with massive datasets exceeding DRAM capacity.
Storage Benchmarking and I/O Characterization for Next Generation AI Workloads
Explore storage optimization for AI workloads through eBPF profiling, MLPerf benchmarking, and analysis of vectorDBs, LLM inference, and generative AI system requirements.
Google AI Studio's Build Feature - Creating Frontend Apps with AI
Discover Google AI Studio's free Build feature that lets backend developers create frontend apps in minutes without UI design struggles.