Solutions for your AI Workload
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
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 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
2x AMD EPYC 7742 64-core CPUs (128 cores total)
NVIDIA Mellanox® Spectrum® SN2000 GbE HDR switches
2x 1.92TB M.2 NVMe storage
4x 3000W power supplies (3+1)
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
Includes 8 Weka.IO storage nodes + 1 additional Weka.IO node per additional GPU node. Additional optional storage nodes available as needed.
Includes the Silicon Mechanics AI Stack, Silicon Mechanics’ Scientific Computing Stack, and support for popular frameworks
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.