Companies also announce free IPU Test Drive with Graphcore AI hardware and Spell software.
Two 5-year-old startups – one each from the UK and the USA – today announced a partnership to design and build what they describe as “the next generation of AI infrastructure.”
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2021 Cool Vendors Tackle Complexity With Connected, Customized and Complementary Solutions: A Gartner Trend Insight Report
Published 4 January 2022 - ID G00761055
By Carlie Idoine, Janelle Hill, Adrian Lee, Adrian Leow, Daryl Plummer, Rita Sallam
We're in good company with other featured vendors including NVIDIA, AWS, Google Cloud Platform, Microsoft, HPE, IBM, and Dell.
Named one of the hottest companies in AI.
It's all about Infrastructure.
Spell provides an MLOps platform for developing, training, and optimizing models for deep learning use cases.
Gartner® names Spell as a Cool Vendor™ for Enterprise AI Operationalization and Engineering in their October 2021 report.
Gartner® names Spell as a Representative Vendor for ModelOps in the September 2021 Market Guide for AI Trust, Risk and Security Management report.
Deep learning model development and management drives special requirements, especially around the provisioning of hardware. Spell introduced a machine learning operations (MLOps) platform last week that caters to these very needs.
New York-based startup, Spell, has launched what it calls a cloud-agnostic MLOps platform that is targeted to serve the more complex and unique needs of deep learning using the principles of MLOps used for machine learning.
Spell today unveiled an operations platform that provides the tooling needed to train AI models based on deep learning algorithms.
Unique “Dlops” Software Manages and Automates the Full AI Life Cycle for Enhanced Governance, Time-to-Value, and ROI
Spell’s new cloud-agnostic, end-to-end platform for deep learning tracks, manages, and automates the entire deep learning workflow, from developing and training to deploying and optimizing models at scale.
Spell.ml develops a machine learning platform for deep learning operations (DLOps) that the company says goes beyond traditional machine learning with its capabilities for preparing, training, deploying and managing the full lifecycle of machine learning and deep learning models.
Spell.ml develops a machine learning platform for deep learning operations (DLOps) that the company says goes beyond traditional machine learning with its capabilities for preparing, training, deploying and managing the full lifecycle of machine learning and deep learning models. Spell.ml says its cloud-agnostic platform can help reduce the costs of deep learning model development.
Spell.ML’s machine learning platform for deep learning operations goes beyond traditional machine learning with its capabilities for preparing, training, deploying and managing the full life cycle of machine learning and deep learning models.