Rafay Systems, a Kubernetes automation provider, has expanded its enterprise platform capabilities to include support for graphics processing unit-based workloads and introduced a new AI suite to simplify AI application development and deployment.
Its updated enterprise platform offers features like developer and data scientist self-service, AI-optimized user workspaces, GPU matchmaking, and GPU virtualization.
The new AI suite includes pre-configured LLMOps Playgrounds, turnkey MLOps Pipeline, central management of LLM providers and prompts, and AI data source integrations and governance.
Analyst QuickTake: These enhancements will allow businesses to harness GPU resources efficiently, enabling faster data processing and the development of more complex AI models. They will also allow companies to innovate rapidly, improve decision-making, and maintain a competitive edge in the fast-paced AI industry.
By using this site, you agree to allow SPEEDA Edge and our partners to use cookies for analytics and personalization. Visit our privacy policy for more information about our data collection practices.