Silicon Mechanics Atlas AI Cluster Solutions for your AI Workload HOME CLUSTERS ATLAS AI CLUSTER Get to Result Faster with the Atlas AI Cluster Looking for a fast, powerful system designed from the ground up to optimize large AI datasets? Consider the Silicon Mechanics Atlas AI Cluster™. This custom-engineered, Linux-based cluster includes best-of-breed technology (including the NVIDIA® HGX™ A100 and AMD EPYC™), configured for fast deployment and powerful results. Best of all? The Atlas AI Cluster can give you GPU-accelerated computing that scales to any size and still provides stronger ROI compared to the equally powerful but more costly NVIDIA® DGX™. Get More Information Ideal Use Cases Natural Language Processing Machine Learning Deep Learning Predictive Analytics Cybersecurity Business Intelligence Virtual Assistants Robotics Relevant Industries Aerospace/Defense Healthcare/Life Sciences Design & Manufacturing (inc. Automotive) Financial Services Retail Supply Chain Government Pre-Configured for Your AI Workloads Quick setup Atlas AI Clusters are pre-configured for AI, reducing time to result even on the largest workloads. Low TCO Save in the long run with the low total cost of ownership compared to traditional supercomputers. Grows with you Each cluster is designed to give you seamless, linear scaling as your computing needs grow. Superior performance Optional 3rd Gen AMD EPYC™, the world’s highest-performing x86 server CPUi. No platform lock-in Lower initial cost and no platform lock-in compared to the NVIDIA® DGX A100. Blazing fast memory Includes NVIDIA A100 GPUs, providing world’s fastest memory bandwidth (over 2 TB/s) to run the largest models and datasetsii and GPU partitioning. Resources Learn More About the Atlas Cluster Silicon Mechanic engineers were able to achieve so much in a single AI platform by using a building block approach, where computing, storage, and networking components were optimized for specific AI needs. However, because of the way they are integrated, end users can still request changes for today and scale as needed tomorrow. Download the Solution Overview Sheet How a Building Block Approach Enables AI Optimization Download this white paper from InsideHPC and get a deep dive on the various modules inside the Silicon Mechanics Atlas AI Cluster and see how it can help you achieve your AI goals. Download White Paper GPU-Accelerated Compute Node Components PROCESSOR 2x AMD EPYC 7742 64-core CPUs (128 cores total) NETWORK INTERFACE NVIDIA Mellanox® Spectrum® SN2000 GbE HDR switches STORAGE 2x 1.92TB M.2 NVMe storage POWER 4x 3000W power supplies (3+1) OPTION 1 4U server with 8x NVIDIA HGX™ A100 GPUs and 320GB GPU memory 1TB DDR4 system memory 15TB NVMe storage OPTION 2 4U server with 8x NVIDIA HGX™ A100 GPUs and 640GB GPU memory 2TB DDR4 system memory 30TB NVMe storage Benchmark Your Performance Not sure how well the combination of AMD EPYC and NVIDIA HGX A100 will meet your specific workload needs? The Silicon Mechanics engineering team has set up remote compute modules for secure log in so that you can try both a 4x A100 GPUs (160GB memory) version and an 8x A100 GPUs (320GB memory) version. Request a Test Drive Storage Components Includes 8 Weka.IO storage nodes + 1 additional Weka.IO node per additional GPU node. Additional optional storage nodes available as needed. Weka All-Flash Tier 4x High-density, all NVMe Flash storage arrays: 1U dual-node storage server with 36x E1.S (EDSFF) NVMe SSDs Base configuration starts at 200TB NVMe SSD capacity Base configuration scales to 360TB by adding drives, or >360TB by adding storage nodes 2x Mellanox 25GbE adapter ConnectX-6 Dx (2x SFP28) 2x Mellanox 200Gb/s HDR InfiniBand adapter ConnectX-6 VPI (1x QSFP56) 1300W 1+1 Redundant power supplies - 80 PLUS Platinum S3 Object Storage Capacity Tier Node count and drive density based on capacity requirements Supported Software & AI Frameworks Includes the Silicon Mechanics AI Stack, Silicon Mechanics’ Scientific Computing Stack, and support for popular frameworks Get a Quote Quality Assurance for Zero Defects Standard 3- Year Warranty In-House Support Staff Expert Included Our experts can survey the complex technology landscape and develop a solution that fits your unique needs. Read more about our Expert Included approach, or contact us now to get started. Contact Us i MLN-016: Results as of 01/28/2021 using SPECrate®2017_int_base. The AMD EPYC 7763 measured estimated score of 798 is higher than the current highest 2P server with an AMD EPYC 7H12 and a score of 717, https://spec.org/cpu2017/results/res2020q2/cpu2017-20200525-22554.pdf. OEM published score(s) for EPYC may vary. SPEC®, SPECrate® and SPEC CPU® are registered trademarks of the Standard Performance Evaluation Corporation. See www.spec.org for more information. ii https://www.nvidia.com/en-us/data-center/a100 Products Servers Storage Supermicro Workstations Support Support Portal Product Returns Warranties About Our Story Contact Feedback Site Terms Of Sale Privacy Policy Sitemap Social 1-866-352-1173 sales@siliconmechanics.com