MemVerge and Micron enhance NVIDIA GPU performance through CXL Memory integration.

MemVerge, a leading AI-first Big Memory Software company, has partnered with Micron to introduce an innovative solution that utilizes intelligent tiering of CXL memory. This collaboration aims to enhance the performance of large language models (LLMs) by offloading data from GPU HBM to CXL memory. The solution is currently being demonstrated at Micron booth #1030 at GTC, allowing attendees to witness the transformative impact of tiered memory on AI workloads.

Charles Fan, CEO and Co-founder of MemVerge, highlighted the significance of overcoming the HBM capacity bottleneck in scaling LLM performance. He emphasized the importance of keeping GPUs supplied with data and explained that the demo at GTC showcases how pools of tiered memory not only boost performance but also maximize GPU resource utilization. The demo, conducted by engineers from MemVerge and Micron, featured a FlexGen high-throughput generation engine and OPT-66B large language model running on a Supermicro Petascale Server equipped with components.

The results of the demonstration were impressive, with the FlexGen benchmark completing tasks in less than half the time compared to conventional NVMe storage methods. Additionally, GPU utilization significantly increased from 51.8% to 91.8% thanks to the seamless management of data tiering across DIMMs and CXL modules facilitated by MemVerge Memory Machine X software.

This collaboration between MemVerge, Micron, and Supermicro represents a significant milestone in advancing the capabilities of AI workloads. It enables organizations to achieve unprecedented levels of performance, efficiency, and time-to-insight. By harnessing the power of CXL memory and intelligent tiering, businesses can unlock new opportunities for innovation and accelerate their journey towards AI-driven success.

Raj Narasimhan, senior vice president and general manager of Micron’s Compute and Networking Business Unit, expressed his excitement about the collaboration. He stated that through their partnership with MemVerge, Micron can demonstrate the substantial benefits of CXL memory modules in improving GPU throughput for AI applications. This ultimately leads to faster time to insights for customers. Narasimhan also emphasized that Micron’s innovations across the memory portfolio provide compute with the necessary capacity and bandwidth to scale AI use cases from cloud to edge environments.

Background Information

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About Micron Technology: Micron Technology, headquartered in Boise, Idaho, is a global leader in innovative memory and storage solutions. Founded in 1978 by Ward Parkinson, Joe Parkinson, Dennis Wilson, and Doug Pitman, Micron has played a pivotal role in advancing semiconductor technology. The company produces dynamic random-access memory (DRAM), flash memory, and USB flash drives. Micron’s products cater to various applications, including AI, automotive, mobile devices, data centers, and client PCs. Their commitment to innovation and memory technology has positioned them as a key player in the industry.

  

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About Supermicro: Supermicro is a reputable American technology company founded in 1993 and headquartered in San Jose, California. Specializing in high-performance server and storage solutions, Supermicro has become a trusted name in the data center industry. The company offers a wide range of innovative and customizable server hardware, including motherboards, servers, storage systems, and networking equipment, catering to the needs of enterprise clients, cloud service providers, and businesses seeking reliable infrastructure solutions.

  

Technology Explained

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GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.

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LLM: A Large Language Model (LLM) is a highly advanced artificial intelligence system, often based on complex architectures like GPT-3.5, designed to comprehend and produce human-like text on a massive scale. LLMs possess exceptional capabilities in various natural language understanding and generation tasks, including answering questions, generating creative content, and delivering context-aware responses to textual inputs. These models undergo extensive training on vast datasets to grasp the nuances of language, making them invaluable tools for applications like chatbots, content generation, and language translation.

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NVMe: Non-Volatile Memory Express (NVMe) is a newly developed technology that has been gaining traction in the computer industry. This technology is a standard interface which allows for high-speed storage and retrieval of data from solid state drives (SSDs). NVMe is designed to increase the speed of data transfers in storage systems by enabling a direct connection to PCI Express (PCIe) bus, resulting in significantly faster access times compared to traditional interface protocols such SSDs. NVMe is particularly useful for applications that require lightning-fast access to large amounts of high-value data. NVMe-based SSDs are being widely adopted in the computer industry and are being employed to power data centers, high-end workstations, and gaming machines to support lightning-fast data processing and retrieval, which unlocks possibilities for machine learning, real-time analytics, edge computing, and other cutting-edge applications. NVMe is proving to be an invaluable tool in the field of computing, offering immense