Kamran Khan

Hear from four AI leaders building experiences that didn't exist a year ago: real-time video generation, world models, physical AI, and LLMs for drug discovery. These breakthroughs demand both high performance and low cost to work at all.

Unlock the next generation of AI capabilities with Hugging Face on AWS AI chips. In this chalk talk, explore implementing Mixture-of-Experts (MoE) models, reasoning systems, and multi-step AI workflows.

Dive into the journey of a foundation model on AWS Trainium, from distributed training to fine-tuning and deployment. This talk showcases how to optimize each of these stages using Neuron SDK.

Revolutionize your applications with multi-modal AI. Learn how to harness the power of AWS AI chips to create intelligent systems that understand and process text, images, and video.

Generative-AI-powered conversational agents can eliminate the frustration customers may feel when interacting with primitive chatbots that fall short due to narrow scope and limitations. However, cost considerations are paramount when scaling these conversational agents to serve millions of customers.

As you increase the use of machine learning (ML) to transform your business at scale, rising costs in your model deployment infrastructure adversely impact your ability to innovate and deliver delightful customer experiences. Amazon EC2 Inf1 instances, powered by AWS Inferentia chips, deliver up to 70 percent lower cost per inference and up to 2.3 times higher throughput than comparable...

With the world’s increasing need for computing and machine learning becoming mainstream, continually innovating at the chip level is critical to sustainably powering the workloads of the future. In this session, learn how AWS continues to innovate on chip design as the organization works toward Amazon’s goal of achieving net-zero carbon by 2040.