Stock Markets February 18, 2026

Rackspace Shares Rally After Deal to Deliver Palantir AI Platforms to Customers

Collaboration pairs Rackspace implementation and hosting services with Palantir Foundry and AIP to speed enterprise AI deployments

By Marcus Reed RXT PLTR
Rackspace Shares Rally After Deal to Deliver Palantir AI Platforms to Customers
RXT PLTR

Rackspace Technology's stock more than doubled after the company announced a strategic alliance with Palantir Technologies to help customers deploy and operate Palantir’s Foundry and Artificial Intelligence Platform (AIP). Rackspace will supply implementation expertise, cloud hosting, and data migration support aimed at moving AI projects into production more quickly, while scaling a trained engineering workforce to support migrations and managed operations.

Key Points

  • Rackspace stock rose by more than 100% after announcing a strategic partnership with Palantir to deploy Palantir Foundry and AIP for customers.
  • Rackspace will provide implementation expertise, cloud hosting, and data migration support to move AI use cases into production faster, with an initial 30 Palantir engineers trained and plans to scale to over 250 engineers in 12 months.
  • The collaboration includes plans to run Palantir software in Rackspace’s Private Cloud and UK Sovereign data centers, targeting regulated and data-sensitive industries.

Overview

Rackspace Technology (NASDAQ:RXT) saw its share price surge by over 100% following news of a strategic partnership with Palantir Technologies (NYSE:PLTR). The agreement is designed to combine Rackspace’s governed operating model and managed services with Palantir’s Foundry and Artificial Intelligence Platform (AIP) to accelerate the deployment of AI use cases into production.


Scope of the collaboration

Under the partnership, Rackspace will provide implementation support, cloud hosting, and data migration services to help customers move Palantir software from pilot stages into production environments in weeks rather than the more typical months or years. The firms said the integrated approach is intended to reduce operational burdens and speed time to value for organizations adopting Palantir’s AI offerings.

Rackspace has already trained 30 Palantir engineers to deliver data migration services as part of the collaboration, and it plans to expand that team to more than 250 engineers over the next 12 months. The companies are also collaborating to run Palantir software inside Rackspace’s Private Cloud and UK Sovereign data centers, addressing data sovereignty and regulatory requirements for certain customers.


Statements from leadership

Gajen Kandiah, CEO of Rackspace Technology, emphasized the need for practical AI implementations. "Organizations need AI that works in production, not just in demos," he said, describing the partnership as a turnkey deployment model aimed particularly at regulated and data-sensitive organizations.

Sameer Kirtane, Head of US Commercial at Palantir, highlighted the potential impact on migration timelines, stating: "Organizations that adopt our AI Operating Systems fundamentally change their unit economics. In the context of migrating complex data environments, Palantir AIP is taking completion timelines from years to days."


Capabilities being combined

The collaboration leverages Rackspace’s 25 years of experience managing enterprise workloads across hybrid environments along with Palantir’s decision-intelligence platform. Together the companies plan to offer end-to-end infrastructure hosting, data migration, implementation services, and ongoing managed operations as a cohesive service for customers adopting Palantir’s AI technology.


Market reaction and implications

Market participants reacted strongly to the announcement, driving Rackspace stock sharply higher. The partnership is presented as a commercial route for enterprises, particularly those in regulated sectors, to bring Palantir’s AI platforms into production with vendor-supported hosting and migration services.


Limitations

The companies outlined intended capabilities, staffing plans, and hosting objectives in their announcement. The article reflects those statements and does not include additional performance metrics, timelines beyond the staffing projection, or detailed customer adoption figures.

Risks

  • Planned staffing expansion and service rollouts are projections; actual scaling to over 250 trained engineers within 12 months is a stated plan but not guaranteed - impacts workforce and services sectors.
  • Running Palantir software in private and sovereign data centers aims to address data sovereignty requirements, but implementation in regulated industries could face operational or compliance complexities - impacts regulated industries and cloud hosting markets.
  • Statements emphasize shorter production timelines for migrations, but the announcement does not provide independent metrics or customer adoption outcomes to validate those claims - impacts enterprise AI adoption and managed services demand.

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