New Software Platform Accelerates AI Initiatives
Learn about Bitfusion Flex, a software platform that removes the complexity of clustering, sharing, and scaling deep learning infrastructure, making the delivery of AI applications faster and more economical.
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It was great talking to Subbu Rama, Co-Founder/CEO of Bitfusion, an end-to-end application development and management platform for artificial intelligence (AI) and deep learning. Subbu and his team just launched Bitfusion Flex, a software platform that removes the complexity of clustering, sharing, and scaling deep learning infrastructure, making the delivery of AI applications faster and more economical.
Bitfusion Flex significantly reduces the time and expense associated with AI projects by accelerating development times and cutting infrastructure costs. The infrastructure management software allows AI developers to streamline the development and deployment of deep learning applications by dynamically scaling and sharing on-demand compute power.
Powered by Bitfusion’s core virtualization engine, Bitfusion Flex optimizes deep learning workflows throughout the AI application lifecycle including development, training, and inference. It can be deployed in any datacenter or cloud and dramatically enhances the use of GPUs, FPGAs, and other AI compute resources across all major deep learning frameworks.
Bitfusion’s core virtualization technology provides a transparent software layer that combines multiple systems into a single elastic compute cluster that supports the sharing and scaling of compute resources. It works out of the box with pre-existing AI applications and is compatible with bare metal, containerized, and virtualized environments. Bitfusion Flex provides the end-to-end management framework for developers to easily leverage the core virtualization engine across AI applications and environments.
“The promise of AI and deep learning is immense but in practice leveraging GPUs and other compute architectures for performance presents huge challenges for AI developers,” according to Subbu. “By providing an end-to-end solution focused on the unique needs around AI development, we’re enabling companies to leverage these efficient architectures with very little effort. This massively accelerates time to business value for AI initiatives.”
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