Thank you for Subscribing to CIO Applications Weekly Brief
CIO Applications Weekly Brief
Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from CIO Applications
Thank you for Subscribing to CIO Applications Weekly Brief
There are significant barriers to entry to implement an AI strategy. In addition to employing data scientists, installing just a few multi-GPU nodes along with the requisite supporting equipment, facilities, power and cooling utilities and IT personnel can cost millions, putting it out of reach for most small—and many mid-sized—companies. Meanwhile, the cloud technology giants have focused primarily on CPU processing, only recently adding virtualized GPU capability. Regardless of the marketing spin, virtualization means shared equipment resulting in slower performance and multi-tenant security concerns.
“Our on-demand dedicated offerings for project-based workflows enable remote access to supercomputing hardware when needed,” explains Tim Miller, President of SkyScale. “With these systems, users get root level control and don’t face the multi-tenant downsides related to virtualization. The resulting upside to our customers includes enhanced performance, flexibility, and multiple levels of cost savings based on usage and capital and facilities expense.”
SkyScale’s standard offerings include NVIDIA’s latest generation GPUs: the P100 (Pascal™) and the V100 (Volta™), as used in the benchmark tests. Both are available in single nodes of up to 16 GPUs, which can be clustered with Infiniband™ interconnects for the ultimate in AI training processing power. All of the elements—processors, GPUs, storage, and networking—are high-end components and tuned for AI workflows.
“We work with each customer to strategically create the best cloud infrastructure to meet their requirements,” adds Miller. “Once configured, the system rental price is quoted and fixed so there are no surprises, and direct access to technicians is a key differentiator.”
SkyScale’s systems are located in industry-leading HIPAA and ITAR compliant data centers on both coasts and in the south, ensuring complete physical and cyber security along with robust, redundant power, cooling, and networking. A tour of their San Diego data center is an education in itself.
During our investigation into cloud-based AI and ML technologies, SkyScale emerged as the leader in GPU supercomputing with uncompromising security and competitive pricing.
I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info