cnvrg.io Data Science Platform Certified by NVIDIA DGX-Ready Software Program

cnvrg.io data science solution for enterprises has been validated for NVIDIA DGX systems, further increasing productivity and accelerating AI workflows

cnvrg.io today announced that its data science platform has been successfully certified for the NVIDIA DGX-Ready Software program. The cnvrg.io enterprise data science platform simplifies model management with MLOps and continual machine learning automation. After intensive testing and evaluation the solution is now certified to run on all NVIDIA DGX™ systems, including the newly announced NVIDIA DGX A100, and will dramatically increase its ability to support the unique demands of deep learning and machine learning workloads.

Enterprises across industries are tapping into the power of AI to drive better business outcomes. NVIDIA DGX systems offer enterprises a streamlined path to AI infrastructure that accelerates deployments and simplifies ongoing operations. The NVIDIA DGX-Ready Software program complements DGX deployments by accelerating AI data pipelines and workflows, and increasing accessibility and utilization of DGX resources.

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As a DGX-Ready Software program partner, cnvrg.io offers DGX deployments the following features:

• End-to-end tracking and monitoring capabilities
• Native Kubernetes and meta-scheduler
• Integration with NVIDIA NGC GPU-optimized containers
• 100% resource utilization with advanced compute querying and autoscale
• NVIDIA GPU dashboard to optimize and manage resources

“We see a significant need for data science pipeline management at scale for customers using on-premises NVIDIA DGX systems and cnvrg.io is the answer,” said Yochay Ettun, CEO and co-founder of cnvrg.io. “As data science professionals ourselves, we’ve built cnvrg.io to help ML professionals minimize complexity with MLOps, so they can focus on the real magic — algorithms.”

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“cnvrg.io tools help unleash the full potential of NVIDIA DGX-based AI infrastructure and contributes significantly to the DGX customer experience,” said John Barco, senior director of DGX software product management at NVIDIA.

cnvrg.io can be directly installed via the NGC container registry. CORE — a light version of cnvrg.io — is now available free of charge, and can be installed on-premises or in a cloud environment.

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