cnvrg.io Metacloud tackles this challenge with a flexible software-as-a-service (SaaS) interface, where developers can pick cloud or on-premise compute resources and storage services of their choice to match the demand of their AI/ML workloads.
In an interview with CRN, cnvrg.io CEO Yochay Ettun talks about his ambitions of cnvrg.io becoming the ‘Switzerland for AI computing,’ how the new Metacloud service is helping AI developers fight against vendor lock-in and why Intel acquired his company last year.
cnvrg.io, the operating system for artificial intelligence (AI) and machine learning (ML) built by data scientists, announced the exclusive early release of the cnvrg.io Metacloud, a new managed service enabling AI developers full flexibility, to run AI/ML workloads on a mix of infrastructure and hardware choices, even within the same AI/ML workflow or pipeline.
cnvrg.io Metacloud introduces a new, flexible interface for running AI workloads instantly -- BYOC (Bring Your Own Compute) and BYOS (Bring Your Own Storage) -- by delivering a developer-friendly portal to set up and launch AI/ML workflows. Cnvrg.io Metacloud works with any AI infrastructure provider because it is designed with cloud-native technologies such as containers and Kubernetes.
cnvrg.io Metacloud, a new managed service enabling AI developers full flexibility, to run AI/ML workloads on a mix of infrastructure and hardware choices, even within the same AI/ML workflow or pipeline. Available platform integrations include Intel, AWS, Azure, GCP, Dell, Redhat, VMWare, Seagate and more.
An in depth interview with today’s Woman in Tech: Leah Kolben, CTO and Co-founder of cnvrg.io. Leah developed her passion for technology at a very young age. By High School, she had already completed a BSc in Mathematics and Physics, and continued along this path in the Israel Defense Force (IDF) Intelligence unit, as an electrical engineer.
cnvrg.io has been named “Best Machine Learning Company” in recognition of our commitment to actualize the AI-driven enterprise. Find out why this year has been a breakthrough year for cnvrg.io more than ever before.
cnvrg.io, the leading operating system for machine learning, along with Lenovo Infrastructure Solutions Group, today announce the release of their end to end AI solution built to enable enterprise AI.
As organizations increasingly become analytics driven, a process for managing analytics operational risk will safeguard the company from unpleasant surprises and ensure that analytics continue to operate effectively.
cnvrg.io is thrilled to announce its new capability of deploying ML models to production with a streaming architecture of producer/consumer interface with native integration to Apache Kafka and AWS Kinesis.
cnvrg.io data science solution for enterprises has been validated for NVIDIA DGX systems, further increasing productivity and accelerating AI workflows
Cnvrg.io, a data science startup headquartered in Jerusalem and New York, today released a community version of its machine learning automation platform designed to help enterprises manage and scale AI.
Interview with Yochay Ettun, Co-founder & CEO of cnvrg.io, an end-to-end machine learning platform to build and deploy AI models at scale.
cnvrg.io, the data science platform simplifying model management with MLOps and continual machine learning automation, announces its advanced MLOps solution will be integrated with the NVIDIA NGC container registry.