BOTHELL, WA — April 13, 2021 — Silicon Mechanics, one of the world’s largest private providers of HPC, AI, and enterprise storage solutions, today announced availability of the Silicon Mechanics Atlas AI Cluster™.
The Atlas AI Cluster is optimized for users seeking the speed and performance of the world’s fastest AI supercomputers without the high total cost of ownership (TCO) of thousands of servers or the locked-in design or vendor commitment of the NVIDIA® DGX POD.
This Linux-based cluster delivers five petaflops of AI performance, consolidating the power and capabilities of an entire data center into a single, flexible platform to stay ahead of the exponentially growing size of AI models and data.
Designed with a modular, building block mindset, the Atlas AI Cluster is pre-configured to reduce time-to-result even on the largest AI workloads. At the same time, the modular approach ensures seamless, linear scaling, and easier upgrades.
This complete, balanced system includes 3rd Gen AMD EPYC™, the world’s highest-performing x86 server CPUi, NVIDIA A100 GPUs, providing world’s fastest memory bandwidth (over 2 TB/s) to run the largest models and datasetsii, and GPU partitioning.
Silicon Mechanics, Inc. is one of the world’s largest private providers of high-performance computing (HPC), artificial intelligence (AI), and enterprise storage solutions. Since 2001, Silicon Mechanics’ clients have relied on its custom-tailored open-source systems and professional services expertise to overcome the world’s most complex computing challenges. With thousands of clients across the aerospace and defense, education/research, financial services, government, life sciences/healthcare, and oil and gas sectors, Silicon Mechanics solutions always come with “Expert Included” SM.
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Our engineers are not only experts in traditional HPC and AI technologies, we also routinely build complex rack-scale solutions with today's newest innovations so that we can design and build the best solution for your unique needs.
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