Ankur is a GM at AWS Machine Learning and leads foundational SageMaker services such as SageMaker Studio, Notebooks, Training, Inference, Feature Store, MLOps, etc. Before SageMaker, he led AI services for personalization, forecasting, healthcare & life sciences, edge AI devices and SDKs, as well as thought leadership programs such as AWS DeepRacer. Ankur has worked at Amazon for over 15 years. Before joining AWS, he spent several years in Amazon’s Consumer organization, where he led the development of automated marketing/advertising systems, as well as automated pricing systems.
Advance your AI projects with the Intel® Gaudi® 3 AI Accelerator. Seamlessly integrate into your existing AI workflows using PyTorch, Hugging Face, and DeepSpeed. Discover its compute architecture optimized for large language and multimodal models—experience scaling from single node to massive clusters using standard Ethernet. Explore running inference, fine-tuning, and training on LLMs like Llama and Falcon, leveraging the open software stack and optimized models. With Intel's open, flexible, and scalable AI accelerator solution, gain insights into achieving superior price performance and energy efficiency for demanding training and inference AI workloads.
Principal AI Technical Program Manager and Ecosystem Enabling Lead for Intel Gaudi. As the Ecosystem Enabling Lead, spearheaded the strategy and execution of Intel Gaudi's ecosystem collateral, customer training and positioning. Greg's role is to create content and training that make it easier for customer to use Intel Gaudi.
Intel create world-changing technology that improves the life of every person on the planet. Today they are applying their reach, scale, and resources to enable their customers to capitalize more fully on the power of digital technology. Inspired by Moore’s Law, Intel continuously work to advance the design and manufacturing of semiconductors to help address their customers’ greatest challenges. Power AI everywhere with Intel® with proven AI expertise, un unmatched partner ecosystem, and a comprehensive hardware and software portfolio. Intel can help you deliver the AI results you need.
Hasan Siraj is the Head of Software and AI Infrastructure Products at Broadcom, focused on the company's extensive Ethernet portfolio serving broad markets including the hyperscale, service provider, data center and enterprise segments. Prior to joining Broadcom in 2018, he served in a variety of product management leadership roles at Cisco Systems, including leading the Enterprise Switching, Enterprise Routing / SDWAN products teams - two largest businesses at the company. Mr. Siraj earned a master’s in electrical engineering from Cornell University and an M.B.A. from The Wharton School.
Broadcom Inc. (NASDAQ: AVGO) is a global technology leader that designs, develops, and supplies a broad range of semiconductor, enterprise software and security solutions. Broadcom's category-leading product portfolio serves critical markets including cloud, data center, networking, broadband, wireless, storage, industrial, and enterprise software. Their solutions include service provider and enterprise networking and storage, mobile device and broadband connectivity, mainframe, cybersecurity, and private and hybrid cloud infrastructure. Broadcom is a Delaware corporation headquartered in Palo Alto, CA. For more information, go to www.broadcom.com.
Principal AI Research Scientist at Intel Labs where I lead the Multimodal Cognitive AI team. The Cognitive AI team develops AI systems that can synthesize concept-level understanding from multiple modalities: vision, language, video, etc. leveraging large-scale AI clusters powered by Intel AI HW (eg: Intel Gaudi-based AI clusters). Vasudev’s current research interests include self-supervised training at scale for continuous and high dimensional modalities like images, video and audio; mechanisms to go beyond statistical learning in today’s AI systems by incorporating counterfactual reasoning and principles from causality and exploring full 3D parallelism (tensor + parallel + data) for training and inferencing large AI models on Intel AI HW (eg: Intel Gaudi-based AI clusters in Intel Dev Cloud). Vasudev obtained his PhD in Electrical and Computer Engineering from the University of Michigan, Ann Arbor in 2012.
