GenAI POD Solution - Accelerating Enterprise Success: Unleashing Swift AI Rollouts

GenAI POD Solution - Accelerating Enterprise Success: Unleashing Swift AI Rollouts

Tuesday, May 14, 2024 5:20 PM to 5:40 PM · 20 min. (Europe/Berlin)
Hall H, Booth L01
HPC Solutions Forum
Data Center Infrastructure and CoolingIndustrial Use Cases of HPC, ML and QCLarge Language Models and Generative AI in HPCSustainability and Energy Efficiency

Information

AFS POD Solution from TWSC (Taiwan Web Service Corporation) offers an enterprise-strength generative AI platform tailored for large language model (LLM) training and inference workloads. With extensive experience operating Taiwan's top-ranked AI and HPC systems, TWSC provides end-to-end services encompassing hardware, software, platform, and operations. The solution follows NVIDIA's design guidelines, optimized for unleashing the full computing power of DGX systems. It integrates advanced technologies like liquid cooling for energy efficiency (PUE as low as 1.17), high-performance networking, and robust security measures adhering to stringent cybersecurity standards. TWSC's GenAI Pod Solution enables swift rollouts with localized LLM expertise, celebrating over 4 years of proven availability records. Successful deployments span academic institutions, research centers, and medical facilities in Taiwan, demonstrating capabilities in computational genomics, new drug discovery, high-fidelity digital twins, and more. With a focus on sustainability and cost management, the solution is designed for optimal power consumption and streamlined operational expenses. TWSC's AI democracy approach empowers enterprises with open, localized, and commercial LLM offerings, paving the way for democratized access to generative AI technologies.
HPC Solutions Forum Questions
Are technologies and configurations for AI and HPC converging or diverging? Is it possible to serve both adequately and efficiently in the same environment?What can be done to make HPC and AI more efficient?Are LLMs a game changer that will be widely adopted, or will they remain the province of a few very large or specialized companies?
Format
On-site