ScaleMatrix Announces GPU-as-a-Service Solution Ideal for HPC, Deep/Machine Learning, and Artificial Intelligence Workloads

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ScaleMatrix, a leading provider of customer-premise and hosted cloud services for HPC and Big Data workloads delivered on the industry’s leading Dynamic Density Control™ (DDC) enclosure platform, announced a GPU-as-a-Service solution with the dense Graphics Processing Unit (GPU) power to deliver unprecedented efficiency gains at an affordable price point for today’s demanding HPC, Deep Learning and Artificial Intelligence (AI) workloads.

We are excited to offer our customers this GPU-as-a-Service option to support their deep learning, AI and HPC needs,” said Chris Orlando, Co-Founder of ScaleMatrix. Orlando continues, “This solution provides organizations a better, faster and less expensive alternative to Amazon P2 Instance at a cost-effective price/performance point that will help them accelerate their workloads and be competitive in today’s business environment.”

With GPU-as-a-Service, ScaleMatrix supplies the servers as a bare-metal cloud offering with flexible payment options and short-term use models for GPUs on premium servers. The solution delivers dedicated direct access with the compliance and security users need without the cloud or virtualization overhead. The system specifications range from 4-8 GPUs, with up to dual Intel® Xeon® processor E5-2630 v4, between 64-128GB RAM and a 1TB SSD NVMe for the primary drive, and 4TB SATA as a secondary drive. The GPU-as-a-Service solutions start as low as $1,464 per month and scale to meet the needs of the consumer’s growing demand for intense GPU compute processing.

In addition, ScaleMatrix delivers up to a 30% improvement on Power Usage Effectiveness (PUE) which is critical to managing the energy efficiency of computing equipment – the lower the PUE rating, the better. With GPU-as-a-Service, ScaleMatrix offers technical expertise in the areas of HPC, Deep/Machine Learning and AI with our Matrix Totalcare™ service that provides seasoned data center experts who take the guesswork out of remote hands support and ensure timely responses to all technical inquiries, big or small.


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