StorageGRID 12.1: Global scale and higher performance for AI and modern workloads

If you're building AI pipelines, modernizing data lakes, or running distributed applications, you need object storage that scales with you, moves data fast, and gives you tight control over how it's accessed and managed. That's especially true if you're running a neo-cloud, providing storage services, or managing a global enterprise environment.

NetApp StorageGRID 12.1 builds on the AI-focused capabilities introduced in 12.0, with improvements that help you scale distributed AI data environments, process data faster, and manage production AI workflows with stronger data management and security.

Scale distributed environments without increasing complexity

Today, StorageGRID gives you a single global namespace within a cluster, scaling up to 1 exabyte.

With StorageGRID 12.1, you can go much further. The new Global Federated Namespace lets you run multiple StorageGRID environments under one unified namespace, scaling up to nearly 10 exabytes, well beyond the limits of a single cluster.

If you're a service provider running multiple regional deployments, or you're managing separate environments across business units or geographies, this changes how you work. You manage everything as one logical system. You don't redesign applications to support it.

You can isolate fault domains where it matters. And you simplify how you support distributed AI and analytics, without changing the operating model you already know.

The end result isn't just more capacity.

It's a simpler way to run distributed data at scale.

Improve throughput for AI and inference workloads

Scale only matters if performance keeps up. Otherwise, your data gets harder to use and your costs go up.

With StorageGRID 12.1, you get up to 4x higher throughput depending on workload and object size, with 30–60% gains across common workloads. The biggest improvements show up in small object and mixed workloads, the types of workloads that often create bottlenecks in AI and analytics environments.

What does that mean for you?

Your AI and analytics pipelines move through data faster. Your large processing jobs finish quicker and use infrastructure more efficiently. And you can run very different workloads on the same platform without forcing tradeoffs, because object storage often struggles with mixed workloads, and StorageGRID is built to handle them seamlessly.

Data management and governance for production AI workloads

As AI and analytics move into production, scale and throughput aren't enough. You need to process less data for faster inference, control costs as datasets grow, and stay clear on who can access and change your data. StorageGRID 12.1 helps you do all three through S3 Bucket Change Tracking, S3 Batch Operations, and multi-admin verification.

S3 Bucket Change Tracking

If you're running inference or retrieval workflows like RAG pipelines, the hard part isn't storing the data, it's figuring out what changed so you don't reprocess everything. With StorageGRID 12.1, you can identify exactly what changed in an S3 bucket and focus your processing on just that data. You skip unnecessary compute, speed up your inference workflows, and run your pipelines more efficiently at scale.

S3 Batch operations

When you're managing billions of objects, even simple tasks can take complex scripts and significant effort. With S3 Batch Operations in StorageGRID 12.1, you can run large-scale batch replication jobs across massive object sets without writing custom tooling. Additional batch job types are planned for future releases.

Multi-admin verification

When your environment moves into production, administrative actions carry more risk. Policy changes, security updates, and controls on sensitive data aren't things you want one admin doing alone. With multi-admin verification in StorageGRID 12.1, critical operations require approval from another administrator before they take effect, so you keep your team moving, but you protect against accidental deletes, unauthorized policy changes, or compliance issues.

How customers benefit

StorageGRID 12.1 lets you simplify how you run distributed environments, move data faster across your workloads, and stay in control of how your data is processed and accessed in production. You scale further, get more from your infrastructure, and make object storage a more active part of how your AI and analytics work gets done.

Final thought

StorageGRID has always been built to support data-intensive workloads.

With 12.1, that scale becomes more practical. Run distributed environments as one system, move and process more data faster, and keep tight control as your workloads grow.

NetApp was also recently recognized externally. NetApp was named a Leader in Forrester's inaugural evaluation of the object storage market, which to NetApp reflects the continued focus on scale, performance, and data management that StorageGRID 12.1 represents.

If you're building AI pipelines, expanding analytics, or modernizing how you manage distributed data, this release is built for what's next.

Explore more about StorageGRID 12.1 and explore the updated capabilities.