Leap Ahead of the Competition With GPU-Accelerated Computing
Moving to a GPU-accelerated strategy allows superior performance by all measures including faster compute time and reduced hardware requirements.
Get Ready for the Future with More Powerful, More Efficient Computing
Having deployed the world’s first HPC cluster powered by AMD and being named NVIDIA's HPC Preferred OEM Partner of the Year multiple times, the Penguin Solutions team is uniquely experienced with building both CPU and GPU-based systems as well as the storage subsystems required for AI/ML architectures and high-performance computing (HPC) and data analytics.
As AI continues to evolve and reshape industries, the role of expert partners in guiding organizations through implementing private AI infrastructures is increasingly vital. Our solutions shorten time to insight and discovery by removing the complexities involved in designing, deploying, and supporting customer’s AI infrastructure.
Our GPU-accelerated compute delivers best of breed solution that powers our technology practices. Our infrastructure offering includes both 19” EIA and 21” OPC servers enabling higher density, and alternative non-air cooling for more compute power per rack.
Additional reading on GPU-accelerators:
Compute Power & Speed
A single GPU can offer the acceleration performance of hundreds of CPUs for certain workloads.
Efficiency & Cost
A single GPU-accelerated server costs much less in upfront, capital expenses and, because less equipment is required, reduces carbon footprint and operational costs.
Flexibility
The inherently flexible nature of GPU programmability allows new algorithms to be developed and deployed quickly across a variety of industries.
Long-Term Benefits
Reliance on GPU-accelerated computing provides not only greater computing power over time, but greater margin of difference over competitors who do not migrate to GPU-accelerated computing.
Supported Applications
Amber, ANSYS Fluent, Gaussian, Gromacs, LS-DYNA, NAMD, OpenFOAM, Simulia Abaqus, VASP, WRF
Deep Learning Frameworks
Caffe2, Microsoft Cognitive Toolkit, MXNET, Pytorch, TensorFlow, Theano
19-inch EIA Servers
Talk to the Experts at Penguin Solutions
Our strong history and relationships with AMD and NVIDIA, combined with our extensive experience in AI and HPC infrastructure, allow us to provide GPU-accelerated cluster solutions tailored for every customer.
Reach out today and let's discuss your AI infrastructure requirements.