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High Performance Storage for AI Applications

High Performance Storage for AI Applications

High Performance Storage for AI Applications

Product catalog summary
Overview
Supermicro's AI Rack Scale Storage Solutions are designed to enhance performance in AI applications by integrating high-performance storage with GPU servers. The solutions aim to address the growing demand for efficient data processing in AI environments, particularly for large language models and recommender systems.
Key Challenges
Businesses face challenges in finding storage solutions that do not bottleneck high-performance GPU clusters. High throughput and low latency storage are essential for training models and performing complex simulations, which in turn reduces AI model training and inference times.
Storage Solution Considerations
  • Storage Requirements: 2 to 4 Bytes per parameter for large language models.
  • Object Storage Options: Consider redundancy and application requirements.
  • Flash Storage Needs: Options include 1U or 2U all-flash systems with EDSFF storage devices.
  • Hybrid Systems: Balance between hot and warm storage needs.
  • Networking: Requirements include 100G/200G/400G Ethernet/InfiniBand.
Supermicro EDSFF E3.S Storage Solutions
  • Balanced architecture to reduce latency.
  • PCIe 5.0 x16 rear I/O for GPU server connection via NVMe-oF.
  • Lower TCO due to increased density and efficiency.
  • Optimized for PCIe 5.0 compatibility and performance.
  • Enhanced thermal performance and increased storage density.
Product Models
  • SSG-121E-NE316R and SSG-221E-NE324R: Feature E3.S media type, 2x 4th Gen Intel Xeon Scalable Processors, and varying storage drive capacities.
  • ASG-1115S-NE316R and ASG-2115S-NE332R: Feature E3.S media type, 1x 4th Gen AMD EPYC, and varying storage drive capacities.
Conclusion
Supermicro provides high-performance storage solutions tailored for AI environments, ensuring optimal performance and efficiency. For more information, visit their website.
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Catalog excerpts

High Performance Storage for AI Applications-1

Accelerate Everything High Performance Storage for AI Applications Create an Effective and Responsive Complete Solution for Demanding AI Environments The recent explosion in AI for everything from large language models to recommender systems is pushing demand for increases in GPU performance in order to maximize the value and efficiency of GPU servers. A complete solution which includes the right combination of CPUs, GPUs, tiered storage and networking will ensure optimal performance to meet users’ specific application requirements. One of the biggest challenges facing businesses looking to capitalize on the growth of AI, is finding a storage solution that won’t become the bottleneck in their high performance GPU cluster. High throughput, low latency storage is vital to feed massive amounts of data to train models and perform complex simulations and analysis, reducing AI model training and inference times, as well as TCO. Choosing a High Performance Storage Solution for AI requires an understanding of the following: 1. How much storage do I need? a. 2 to 4 Bytes Per Parameter in a Large Language Model 2. What are the options for object storage? a. Single/dual node for redundancy? Understand the application requirements. b. What capacity do I need for warm storage with 3.5” top-loading servers? 3. How much fast flash do I need? a. 1U or 2U All Flash featuring EDSFF storage devices 4. What about a Hybrid System? a. How much hot and how much warm storage do I need? 5. Will workloads be executed? a. Networking requirements: 100G/200G/400G Ethernet/InfiniBand AI Rack Scale Storage Solutions from Supermicro Storage for high end AI environments where very large (>1 Trillion parameters) or multiple training scenarios execute at the same time, require solutions designed at the rack level. Benefits of Supermicro EDSFF E3.S storage solutions • Balanced architecture to reduce latency • PCIe 5.0 x16 rear I/O for connection to GPU servers via NVMe-oF • Lower TCO due to increased density and efficiency • E3.S is optimized for PCIe 5.0 compatibility and performance • Enhanced thermal performance of the E3.S form factor • Increased storage density compared to U.2 • Increased number of devices per server © 2023 Copyright Super Micro Computer, Inc. All rights res

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High Performance Storage for AI Applications-2

Supermicro Storage for AI Applications Supermicro solutions for high performance storage for AI environments: 2x 4th Gen Intel® Xeon® Scalable Processors 2x 4th Gen Intel® Xeon® Scalable Processors Number Storage Drives Number Storage Drives MODEL Media Type CPU Supermicro High Performance Storage Partners: Go to https://www.supermicro.com/en/products/storage or scan the QR code to visit the Supermicro Storage for AI web page: © 2023 Copyright Super Micro Computer, Inc. Specifications subject to change without notice. All other brands and names are the property of their respective owners. All...

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