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MCP vs. Agent Skills - What are the differences, and why do they matter for NetApp?
In the AI world new concepts and approaches come and go almost daily. In 2023, Retrieval-Augmented Generation (RAG) received all the attention because it was the first efficient way to add your own data to Large Language Models (LLMs) without having to train or fine-tune the model itself. It quickly became visible that,…
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User access mapping with Amazon S3 Access Points for Amazon FSx for NetApp ONTAP
Amazon Web Service (AWS) and NetApp recently announced integration of Amazon FSx for NetApp ONTAP (FSx for ONTAP) with a wide variety of AI and machine learning (AI/ML) and analytics services using Amazon S3 Access Points. You can now attach S3 access points to your FSx for ONTAP file systems, enabling access to file data…
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Unlock fleet-wide storage intelligence with NetApp Digital Advisor APIs
In today’s data-driven landscape, organizations managing large fleets of NetApp controllers or partners supporting multiple customers, face growing complexities in maintaining efficient storage environments. Having the right visibility at the right time is critical to ensuring operational health and driving smarter storage…
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Two Ways Customers Are Using StorageGRID for Analytics and Data Protection
Introduction Modern data platforms rarely serve a single purpose. The same object store that feeds analytics and AI pipelines is often expected to support other applications including long-term retention, backup, and recovery. Across industries, we are seeing two leading StorageGRID usage patterns emerge: Analytics and AI…
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Evolving Observability with AIOps: How AI Assistant Transforms Data Infrastructure Insights
The observability landscape has evolved dramatically over the past decade. What began as simple monitoring has transformed into comprehensive observability platforms that ingest massive volumes of telemetry data from increasingly complex, hybrid infrastructure environments. Despite these advances, organizations face a…
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Introducing a New Memory Tier for AI: Inference Context Memory Storage
At CES 2026 in Las Vegas, NVIDIA unveiled several groundbreaking technologies to accelerate AI adoption—not just improving performance but also providing greater energy efficiency. One standout announcement was the Inference Context Memory Storage (ICMS) platform, introduced during Jensen Huang’s keynote. What is ICMS and…
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KV cache offloading - exploring the benefits of shared storage
Today, we continue our exploration of KV cache offloading. If you missed my previous posts on this topic, be sure to check them out here, here, and here. In this post, I will further explore the benefits of offloading your KV cache to shared storage. I will show the benefits of a shared storage tier and explain why, with…
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Hybrid RAG in the Real World: Graphs, BM25, and the End of Black-Box Retrieval
In the earlier posts in this series, we talked about what happens when Retrieval-Augmented Generation leans too hard on vector search. The first post, From "Trust Me" to "Prove It": Why Enterprises Need GraphRAG, walked through why enterprises need retrieval that behaves more like a knowledge graph than a fuzzy lookup…
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AI-Powered Storage Management Moves from Console to VS Code
Author: Cloud Storage Product Team - Nitya Gupta, Prabu Arjunan, Sagar Gupta, Chahat Gill In Google Cloud environments, managing storage for ML workloads shouldn't pull engineers away from their notebooks and pipelines. Yet many data science teams find themselves bouncing between the Google Cloud Console, infrastructure…
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Designed for devs: Introducing the Visual Studio Code extension for Amazon FSx for NetApp ONTAP
AI-assisted coding with GitHub Copilot has transformed how millions of developers write code. Yet, when provisioning the infrastructure their applications depend on, developers still face time-consuming manual workflows that break focus and slow delivery. That’s because, while infrastructure-as-code (IaC) automates many…