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Flexible deployment options coming for Cohesity Gaia

Our AI-powered conversational data assistant will soon be available as either a self-managed or a SaaS offering.

Cohesity Gaia, our AI-powered conversational data assistant, will soon be available in two flexible deployment options: self-managed (either on-premises or in the cloud) and as a SaaS offering.

This flexibility allows organizations to choose the deployment model that best aligns with their needs and preferences. For customers who manage their backups, Cohesity Gaia—powered by NeMo Retriever and NVIDIA NIM microservices for NVIDIA accelerated computing —delivers actionable insights from their protected data.

Cohesity Gaia combines generative AI, large language models, and retrieval augmented generation (RAG) to provide instant, high-quality insights from an organization’s backup data. Using these AI technologies, Cohesity Gaia enables users to interact with their data using natural language queries, enabling faster and more efficient data discovery and analysis.

Deployment flexibility: Self-managed or SaaS solutions

For organizations that prefer to maintain control over their infrastructure, Cohesity Gaia will provide a robust, self-managed solution. This approach allows businesses to use their existing hardware and software investments while benefiting from Cohesity Gaia’s advanced AI capabilities. Enabling high-performance, self-managed Cohesity Gaia runs on HPE, Cisco, and Nutanix and works with NVIDIA accelerated computing.

Cohesity Gaia deployment image

Our modern platform, which stores all this data, is built atop a file system perfectly suited for interoperating with the AI models transforming enterprises worldwide. We unlock powerful, game-changing capabilities by combining high-quality backup data on this advanced platform with NVIDIA AI, new large language models (LLMs), and world-class hardware from HPE and Cisco UCS for self-managed deployments.

Key features of Cohesity Gaia:

  • Enhanced insights: The self-managed solution integrates NVIDIA NeMo Retriever and NVIDIA NIM microservices to enhance its RAG capabilities. NeMo Retriever improves the accuracy of search results by reranking documents based on relevance, while NVIDIA NIM simplifies the deployment of AI models through performance-optimized, containerized microservices. These technologies enable Cohesity Gaia to deliver faster, more precise insights from enterprise data.
  • Flexible deployment options: Available as self-managed software for on-premises or their preferred cloud environments, providing you full control over your data and infrastructure. Cohesity Gaia is also available as a SaaS model that offers a managed experience, reducing the operational overhead associated with infrastructure management.
  • AI-powered Insights: Cohesity Gaia uses the power of RAG-based AI with LLMs to deliver contextually rich answers from enterprise data. This technology enhances the quality and relevance of the information retrieved—providing instant, high-quality insights from an organization’s backup. By using generative AI, Cohesity Gaia allows users to have a conversation with their data through natural language queries, facilitating efficient data discovery, analysis, and insights.
  • Secure by Design: Cohesity Gaia operates as a read-only interface, which means it cannot modify data. This read-only nature and the immutability of the data ensures that the integrity of the backup data is maintained. Additionally, Cohesity Gaia employs role-based access control (RBAC) to manage user permissions. RBAC ensures that users only have access to the relevant data and functionalities to their roles, enhancing security and reducing the risk of unauthorized access.

Transforming data into knowledge

At its core, Cohesity Gaia is about transforming data into actionable knowledge. Whether assessing cyber resilience, performing financial audits, or serving as a knowledge base for training new employees, Cohesity Gaia’s AI advancements empower organizations to make better, faster decisions. With support for various LLMs and retrieval augmented generation (RAG) technologies, Cohesity Gaia delivers accurate and contextually rich answers to complex business questions.

Get started with Cohesity Gaia today

Cohesity Gaia’s self-managed on-prem, cloud-native, and SaaS solutions represent a significant leap forward in garnering data insights. By offering flexible deployment options and advanced AI capabilities, Cohesity Gaia helps organizations navigate the complexities of modern data environments while driving business resilience and growth.

Cautionary Statement Regarding Forward-Looking Statements: Any forward-looking statements in this release are based on management’s current expectations and beliefs and are subject to change/update without notice.

Written by

Paula Dallabeta

Paula Dallabetta

Sr. Product Marketing Manager

Paula Dallabeta

Paula Dallabetta

Sr. Product Marketing Manager

Paula Dallabetta is a seasoned professional with over 20 years of experience in product marketing. She has worked with both enterprise companies like Hewlett Packard Enterprise and Sun Microsystems, as well as emerging companies such as CreekPath Systems and Qumulo. Currently, she serves as a Senior Product Marketing Manager at Redis, where she focuses on launching and growing storage management and database solutions. Paula holds an M.S. in Computer Science and an MBA in International Marketing from Colorado State University.

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