Clarifai, a global leader in AI and pioneer of the full-stack AI platform, is unveiling new compute orchestration capabilities for AI workloads, designed for any AI model, on any compute, at any scale. This innovation enables organizations to better optimize their compute and cloud investments for AI by eliminating vendor lock-in and forwarding efficient compute spend.
Clarifai’s new compute orchestration capabilities help enterprises build and orchestrate AI workloads across any hardware provider, cloud provider, on-premises, or air-gapped environment, ensuring AI flexibility. These compute orchestration capabilities, paired with Clarifai’s SaaS compute, empowers organizations to derive greater value from their cloud, compute, and hardware commitments—all while benefiting from centrally managed and monitored costs, performance, and governance, according to the vendor.
"Clarifai has always been ahead of the curve, with over a decade of experience supporting large enterprise and mission-critical government needs with the full stack of AI tools to create custom AI workloads. Now, we're opening up capabilities we built internally to optimize our compute costs as we scaled to serve millions of models simultaneously. Our customers can now have the same world-leading tools to scale their AI workloads on their compute, wherever it may be," said Matt Zeiler, Ph.D., founder and CEO of Clarifai. "As generative AI grows, our platform enables customers to reduce complexity and seamlessly build and deploy AI in minutes, at a lower cost, with room to scale and flex to meet future business needs easily."
Clarifai's compute orchestration layer features a user-friendly control plane that allows customers to seamlessly govern access to AI resources, monitor performance, and manage costs. Clarifai’s platform handles dependencies and optimizations, abstracting complexity away from orchestration workloads. The platform additionally offers automatic resource usage optimization, leading to reduced costs and higher reliability, according to Clarifai.
"It's the only way you can scale in the end because you make the choices easier for the practitioners rather than getting them to go back to the AI engineering every time, or even worse, trying to upskill them on cloud computing," said a Clarifai customer.
With Clarifai’s full-stack of AI tools—including data labeling, training, evaluation, workflows, and feedback—organizations have a one-stop shop for managing and customizing AI workloads. This is made possible while maintaining enterprise security and flexibility; Clarifai can deploy into a customer's Virtual Private Cloud (VPC) or on-premise Kubernetes cluster without opening up ports into the customer environment, setting up VPC peering, or creating custom Identity and Access Management (IAM) roles in their cloud or data centers. Additionally, admins can define access to AI resources across teams and projects from a single control plane.
To learn more about Clarifai’s latest compute orchestration capabilities, please visit https://www.clarifai.com/.