Top 10 Reasons to Chose NetApp Keystone STaaS for Enterprise AI
Put AI-ready infrastructure within reach. AI brings plenty of unknowns-from capacity and costs to security and management. NetApp Keystone STaaS for Enterprise AI offers a flexible, consumption-based solution that lets you start small and scale as demands evolve. View the infographic to discover 10 ways you can reduce upfront costs, simplify operations, strengthen security, and build AI-ready infrastructure.
How does NetApp Keystone STaaS help us start AI projects without big upfront costs?
NetApp Keystone STaaS for Enterprise AI is designed to help you operationalize AI at your own pace without a big capital outlay.
Instead of purchasing hardware and locking into long, rigid contracts, you can:
- Shift from CapEx to OpEx: Turn what would normally be a large capital expense into a predictable operating expense through a single subscription.
- Start small and scale: Begin with a low-TiB, 1-year commitment, which helps you diminish operational and financial risk while you validate use cases.
- Pay as you go: You only pay for the storage you actually use, which is especially useful when AI storage needs are uncertain, seasonal, or fluctuate as projects grow.
This model lets you get access to advanced AI-ready storage and expertise right away, while keeping your budget flexible and aligned with real demand.
What makes Keystone STaaS AI-ready and easier to manage for our teams?
NetApp Keystone STaaS for Enterprise AI is built to be AI-ready and AI-optimized, so your teams can focus more on models and outcomes, and less on infrastructure.
Key capabilities include:
- AI-focused architecture: NetApp’s AFX architecture and AI Data Engine help you address challenges in both AI development and deployment, while improving performance, efficiency, and scalability.
- Seamless integration: The platform integrates with popular AI frameworks, tools, and accelerators, so you can plug into existing workflows instead of rebuilding them.
- Unified management: With the integrated NetApp Console and Data Infrastructure Insights, you get automated management and observability, reducing manual effort and complexity.
- On-demand scalability: You can scale storage capacity and performance for AI workloads on demand, without complex capacity planning or overprovisioning.
Together, these capabilities help you reimagine how you run AI infrastructure—simplifying day-to-day operations so IT and data science teams can spend more time on higher-value work.
How does Keystone STaaS support security, reliability, and long-term AI strategy?
NetApp Keystone STaaS for Enterprise AI is designed to give you a secure, resilient foundation that can evolve with your AI strategy.
It supports you in three key ways:
- Built-in security and protection: You get robust security and data protection features to help defend against threats such as ransomware, while simplifying backup, recovery, and compliance.
- High reliability and flexibility: The architecture supports diverse AI frameworks, tools, and libraries, making it easier to adapt to new approaches and integrate with existing environments.
- Future-ready platform: Keystone STaaS provides an efficient, scalable, secure, and intelligent AI data management platform that can adapt to emerging technologies and help you stay competitive over the long term.
Because NetApp combines unified data storage, integrated data services, and CloudOps solutions, you can manage data consistently across environments and continuously optimize performance and efficiency as your AI workloads grow.
Top 10 Reasons to Chose NetApp Keystone STaaS for Enterprise AI
published by RYCOMM LLC
Trusted by many small and medium size businesses in New England and nationwide, RYCOMM is an IT services company, focused on helping businesses with their IT needs and challenges.
We have been providing simplified IT solutions for unique customers since 1998. We use the latest technology in the market and have years of experience supporting companies. Our expertise is unmatched in the Managed IT Service provider space because we have seen what works and what doesn’t, both operating as a service provider and on the receiving end, managing outsourced IT Service providers ourselves to fill in gaps in large enterprise deployments.
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