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Home»Machine-Learning»DataRobot Acquires Agnostiq to Speed up Agentic AI Software Improvement
Machine-Learning

DataRobot Acquires Agnostiq to Speed up Agentic AI Software Improvement

Editorial TeamBy Editorial TeamFebruary 10, 2025Updated:February 10, 2025No Comments3 Mins Read
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DataRobot Acquires Agnostiq to Speed up Agentic AI Software Improvement
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DataRobot, the supplier of AI that makes enterprise sense, immediately introduced it has acquired Agnostiq and its open-source distributed computing platform, Covalent. With this acquisition, DataRobot continues to speed up agentic AI utility improvement with superior compute orchestration and optimization.

Based mostly on a current examine, organizations are struggling to translate enterprise wants into agentic AI functions, and handle these functions throughout fragmented tooling and environments — resulting in greater prices, inefficiencies, and slower innovation. Companies want the pliability to deploy agentic AI throughout a number of infrastructures and compute environments, in addition to the power to dynamically handle brokers primarily based on availability, value, and efficiency.

“Companies are keen to maneuver into an period of agentic AI, however are restricted by siloed infrastructure and tooling. This operational complexity shouldn’t be sustainable or scalable,” stated Debanjan Saha, Chief Govt Officer, DataRobot. “By integrating this acquisition, we’re empowering AI groups to intelligently and cost-effectively develop and handle agentic AI throughout compute environments — delivering tangible outcomes for enterprise.”

Learn Extra: Maintaining with AI in Accounting: 5 Essential Abilities to Study

This acquisition will quickly advance agentic AI improvement with:

Heterogeneous compute orchestration to speed up AI deployment.

  • Deploy, scale, and handle AI workloads throughout compute environments in multi-cloud, on-premises, and hybrid configurations, together with CPUs, GPUs, and NPUs.
  • Orchestrate throughout clusters like run:ai, Slurm, Nomad, and K8s to execute agentic AI functions.
  • Allocate and burst assets dynamically so infrastructure scales to assist enterprise wants with the b*********-performance.

Diminished AI infrastructure complexity and prices.

  • Make the most of environment friendly sharing and partitioning of assets and compute to cut back prices for specialised and large-scale AI workloads.
  • Streamline AI tooling with out incurring migration prices by a single platform for constructing, fine-tuning, deploying AI and agentic flows.
  • Configure guidelines to arrange thresholds for value and latency in addition to create a queue of priorities to optimize value and efficiency tailor-made to enterprise use circumstances.

Open and agnostic method for higher device and infrastructure flexibility.

  • Leverage a longtime open-source group of hundreds of worldwide customers.
  • Keep away from vendor lock-in, adapt infrastructure, and scale effectively.
  • Combine with present infrastructure to construct more and more autonomous multi-modal brokers.

“With Covalent’s superior compute orchestration, we’re thrilled to turn out to be a part of DataRobot’s journey, working collectively to assist our communities quickly construct and deploy groundbreaking AI options with seamless scalability and effectivity,” stated Oktay Goktas, Chief Govt Officer, Agnostiq.

Agnostiq develops Covalent, an industry-leading AI infrastructure administration and compute orchestration platform. Covalent permits organizations to simply scale AI deployments with dynamic useful resource allocation, save prices by environment friendly use of infrastructure, and speed up AI utility improvement with user-friendly infrastructure abstraction. With over 140,000 downloads, Covalent is trusted by main groups and organizations all over the world.

Learn Extra: International Fintech Sequence Interview with Frank Pagano, Govt Gross sales Director at VizyPay

[To share your insights with us, please write to psen@itechseries.com ]



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