DataRobot, a leading provider of AI solutions that drive business value, announced the acquisition of Agnostiq and its open-source distributed computing platform, Covalent. This acquisition further strengthens DataRobot’s capabilities in accelerating the development of agentic AI applications through advanced compute orchestration and optimization.
A recent study highlights a common challenge faced by organizations: the difficulty of translating business needs into agentic AI applications, compounded by fragmented tools and environments. This results in higher costs, inefficiencies, and slower innovation. Businesses require the flexibility to deploy agentic AI across multiple infrastructures and compute environments, as well as the ability to manage agents dynamically based on availability, cost, and performance.
“Businesses are eager to move into an era of agentic AI, but are limited by siloed infrastructure and tooling. This operational complexity is not sustainable or scalable,” said Debanjan Saha, Chief Executive Officer, DataRobot. “By integrating this acquisition, we are empowering AI teams to intelligently and cost-effectively develop and manage agentic AI across compute environments — delivering tangible results for business.”
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With the integration of Covalent, DataRobot is poised to drive rapid advancements in agentic AI development by addressing key challenges such as:
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Heterogeneous Compute Orchestration for Accelerated AI Deployment
- Deploy, scale, and manage AI workloads across a variety of compute environments, including multi-cloud, on-premises, and hybrid configurations, utilizing CPUs, GPUs, and NPUs.
- Orchestrate AI applications across clusters like run:ai, Slurm, Nomad, and K8s to streamline execution.
- Dynamically allocate and burst resources to ensure infrastructure can scale according to business needs, delivering optimal price-performance ratios.
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Reduction in AI Infrastructure Complexity and Costs
- Efficiently share and partition resources to lower costs associated with large-scale and specialized AI workloads.
- Streamline AI tooling without incurring migration costs, offering a unified platform for building, fine-tuning, and deploying AI and agentic flows.
- Implement configurable rules for cost and latency thresholds, creating a priority queue to optimize price and performance based on specific business use cases.
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Open and Agnostic Approach for Increased Tool and Infrastructure Flexibility
- Leverage the support of an established open-source community with thousands of global users.
- Avoid vendor lock-in, adapt infrastructure to specific needs, and scale resources efficiently.
- Seamlessly integrate with existing infrastructure to build more autonomous, multi-modal agents.
“With Covalent’s advanced compute orchestration, we’re thrilled to become part of DataRobot’s journey, working together to help our communities rapidly build and deploy groundbreaking AI solutions with seamless scalability and efficiency,” said Oktay Goktas, Chief Executive Officer, Agnostiq.
Agnostiq, the developer of Covalent, is recognized for its industry-leading AI infrastructure management and compute orchestration platform. Covalent simplifies AI deployment by enabling organizations to scale their AI applications through dynamic resource allocation, maximize cost-efficiency through optimized infrastructure use, and accelerate application development with a user-friendly abstraction layer. Trusted by top global organizations, Covalent has been downloaded over 140,000 times, solidifying its position as a key player in the AI infrastructure space.
With this strategic acquisition, DataRobot continues to empower organizations to unlock the full potential of agentic AI, providing them with the tools to address complex challenges while optimizing performance and reducing costs.