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Rackspace Technology Announces Rackspace AI Business, A Comprehensive AI-Ready Platform Engineered to Optimize Enterprise AI Workloads

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Rackspace Technology (NASDAQ: RXT) has unveiled Rackspace AI Business, a comprehensive AI-optimized hybrid cloud platform designed for enterprises with AI training and inferencing needs. The platform, announced on March 25, 2025, combines advanced private cloud infrastructure powered by Dell Servers and NVIDIA GPUs with enterprise-grade security features.

The solution addresses key challenges in AI deployment and scaling, offering specialized infrastructure for:

  • Distributed training with multi-GPU and multi-node capabilities
  • Scalable inferencing for real-time predictions
  • Fine-tuning capabilities for pre-trained models

Developed in collaboration with the Foundry for AI by Rackspace (FAIR™), this fully managed private cloud solution aims to accelerate time-to-value while maintaining security and compliance standards for enterprise operations.

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Positive

  • Launch of specialized AI infrastructure platform addressing enterprise market needs
  • Strategic partnership with Dell and NVIDIA for hardware components
  • Comprehensive offering combining training, inferencing, and fine-tuning capabilities

Negative

  • No specific performance metrics or benchmarks provided
  • Pricing and cost structure not disclosed

News Market Reaction – RXT

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On the day this news was published, RXT declined 5.82%, reflecting a notable negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Fully managed private AI solution combines cutting-edge AI capabilities with enterprise-grade security and privacy protections

SAN ANTONIO, March 25, 2025 (GLOBE NEWSWIRE) -- Rackspace Technology® (NASDAQ: RXT), a leading end-to-end hybrid cloud and AI solutions company, today announced Rackspace AI Business, a versatile, secure and high-performance AI-optimized hybrid cloud platform that targets customers with AI training and inferencing requirements to unlock the full potential of AI. 

In today's rapidly evolving business landscape, enterprises face unprecedented challenges in deploying and scaling their AI initiatives. The complexity of managing AI workloads across diverse environments, coupled with the need for specialized infrastructure and expertise, has become a significant barrier to realizing the full potential of artificial intelligence technologies. As AI becomes mission-critical for business operations, the need for a flexible, high-performance platform that seamlessly operates across hybrid environments has never been more urgent. 

Rackspace AI Business meets this critical market need by providing a private cloud solution engineered explicitly for AI workloads. By combining cutting-edge infrastructure with deep AI expertise from the Foundry for AI by Rackspace (FAIR™), this innovative platform enables organizations to overcome deployment challenges, accelerate time-to-value, and scale their AI initiatives confidently—all while maintaining the security, compliance, and performance standards that enterprise operations demand.  

"Our Rackspace AI Business platform is for organizations seeking innovative and secure AI implementations, and it empowers organizations to seize new opportunities, support decision-making, and stay at the forefront of today's data-driven IT landscape," said Lance Weaver, Chief Product and Technology Officer, Rackspace Technology. "The Rackspace Technology approach to AI represents the future of AI implementation, where proximity, security, and technological excellence converge."  

Rackspace AI Business Equips Organizations to Optimize AI   
Rackspace AI Business is engineered to enable companies to implement AI successfully, offering a powerful foundation for enterprises ready to harness AI's transformative potential. Built on an advanced private cloud platform powered by Dell Servers and NVIDIA GPUs, the solution is specifically optimized to handle diverse AI workloads—from complex training to high-demand inferencing. This fully managed private cloud solution seamlessly merges cutting-edge AI capabilities with enterprise-grade security and privacy protections, allowing organizations to innovate confidently while keeping sensitive data secure.  

By providing the specialized infrastructure needed for AI to become more powerful, efficient, and adaptable, Rackspace AI Business removes the technical barriers that have traditionally slowed AI adoption, enabling organizations to focus on extracting maximum business value from their AI initiatives and delivering the following: 

Distributed training:   

  • Robust distributed training infrastructure for large-scale model training   
  • Efficient resource utilization and parallelization  
  • Support for multi-GPU and multi-node training

Scalable inferencing:   

  • High-performance inferencing capabilities for real-time predictions   
  • Scaling to handle fluctuating workloads  
  • Support for batch and online inferencing

Fine-tuning capabilities:   

  • Easy fine-tuning of pre-trained models for domain-specific tasks   
  • Support for various model architectures and frameworks   

"Enterprises today face a critical challenge: they need specialized infrastructure for AI workloads but can't afford to compromise on security, flexibility, or performance," said Srini Koushik, President of AI, Technology, and Sustainability at Rackspace Technology. "Our AI Business platform directly addresses this pain point by providing the optimal foundation for both fine-tuning and inference workloads. We've built this solution specifically for organizations that need to scale their AI initiatives without building and managing complex infrastructure themselves. This isn't just about technology—it's about removing barriers so businesses can focus on extracting real value from their AI investments." 

For additional information on Rackspace AI Business, click here.  

About Foundry for AI by Rackspace (FAIR)  
FAIR (Foundry for AI by Rackspace) is an industry-leading global practice that drives practical innovation through strategic AI adoption. With over 70 successful Enterprise AI implementations across multiple industries, FAIR helps organizations navigate complex challenges to achieve measurable business outcomes. Rackers provide the expertise needed to accelerate revenue growth, improve operational efficiency, and enhance customer experiences—delivering tangible returns within weeks rather than months.

About Rackspace Technology    
Rackspace Technology is a leading end-to-end hybrid cloud and AI solutions company. We can design, build, and operate our customers' cloud environments across all major technology platforms, irrespective of technology stack or deployment model. We partner with our customers at every stage of their cloud journey, enabling them to modernize applications, build new products, and adopt innovative technologies.    

Media Contact: Natalie Silva, publicrelations@rackspace.com    


FAQ

What are the key features of Rackspace AI Business platform announced on March 25, 2025?

The platform features distributed training infrastructure, scalable inferencing capabilities, and fine-tuning support, built on Dell Servers and NVIDIA GPUs with enterprise-grade security.

How does Rackspace AI Business (RXT) address enterprise AI deployment challenges?

It provides a fully managed private cloud solution with specialized infrastructure for AI workloads, combining security features with high-performance computing capabilities.

What training capabilities does the new Rackspace AI Business platform offer?

The platform offers distributed training infrastructure supporting multi-GPU and multi-node training, with efficient resource utilization and parallelization capabilities.

What inferencing features are included in Rackspace's new AI platform?

It provides high-performance inferencing for real-time predictions, supports both batch and online inferencing, and can scale to handle fluctuating workloads.

How does Rackspace AI Business handle model customization?

The platform enables easy fine-tuning of pre-trained models for domain-specific tasks and supports various model architectures and frameworks.