Gabriel Chapman

By Gabriel Chapman, senior solutions engineer, Lightbits Labs Ltd. SAN have long been a popular choice for customers who are looking for high performance, predictability, scale, and durability for their mission-critical data on-premises while at the same time allowing customers to scale compute and storage independently of each other.

Storage Area Networks have long been a popular choice for customers who are looking for high performance, predictability, scale, and durability for their mission critical data on-premises while at the same time allowing customers to scale compute and storage independently of each other. Many organizations have made significant investments in SAN technologies over the years, and have architectured robust infrastructure platforms to address their growing data needs.

Skip to content Every CEO has data and analytics anxiety. GPUs are expensive. Analytics use of GPUs is very different during the various stages of the project such as model training and production. Many companies have GPUs sitting idle because they can’t keep them supplied with data. This is the definition of an opportunity for Service Providers to provide GPUs as a service for your customers. Customers want to access a pool of GPU capacity that can be delivered to a host upon request.