Deploy machine learning models and pipelines without the need for Kubernetes expertise. Convox provides streamlined support for frameworks like TensorFlow, PyTorch, and Scikit-learn, ensuring your AI workflows are production-ready with minimal setup.
Maximize the efficiency of your AI workloads with Convox’s preconfigured cluster templates and customizable instance tuning. Seamlessly scale training and inference operations on GPU-enabled instances, optimizing performance for your specific workload demands.
Connect your AI workflows to the services you need with flexible, built-in access to AWS resources like S3 and Kafka. Convox simplifies service policy assignment, allowing you to configure seamless data flows and streamline machine learning pipelines with ease.
Handle surging AI demands effortlessly with Convox’s powerful autoscaling capabilities. Define scaling rules tailored to each service, whether based on CPU, memory, or custom metrics, ensuring optimal performance at any workload size.
Empower your team with robust, role-based permissions and full granular control over infrastructure access. Convox’s flexible user management ensures secure collaboration while enabling developers to innovate without roadblocks.
Run AI workloads flexibly across multiple clouds or hybrid environments. Convox’s cloud-agnostic orchestration empowers you to optimize cost and performance while reducing reliance on a single provider.
