Redapt, an end-to-end technology solutions provider bringing clarity to a dynamic technical environment, has partnered with cloud-native compute infrastructure platform maker Run:ai.
Run:ai helps organizations accelerate their AI journey — from building initial models to scaling AI in production. The platform gives data scientists access to all the pooled compute power they need to accelerate AI development and deployment, whether it is on-premises or in the cloud. The platform also provides IT and MLOps with real-time visibility and control over scheduling and dynamic provisioning of GPUs to deliver more than 2X gains in infrastructure utilization. Built on Kubernetes, Run:ai enables MLOps workflows and seamless integration with existing IT and data science tools.
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“We are excited to partner with Run:ai to better help customers leverage our deep and broad experience with AI/ML,” said Rick Cantu, Co-founder and CEO of Redapt. “The ability to use the appropriate MLOps tools in conjunction with Run:ai software will allow customers to migrate workloads seamlessly.”
“AI infrastructure is complex, with compute-related challenges often getting in the way of companies adopting artificial intelligence,” said Omri Geller, co-founder and CEO of Run:ai. “Data scientists need access to GPUs in order to build the technology that will fulfill the promise of AI, and as Run:ai addresses those challenges. We’re proud to partner with Redapt, which has built a reputation of helping companies accelerate their growth by delivering the very best technology solutions.”
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