QNAP Introduces QAI-h1290FX Edge AI Storage Server for Private LLM and Generative AI Workloads by Lyle Smith on May 1, 2026 Enterprise ◇ Medium NAS QNAP Systems has introduced the QAI-h1290FX, an edge AI storage server designed for organizations that want to run large language models, retrieval-aug… …
… The DataAI Command Platform and the Data and AI Trust Maturity Model are available as part of Veeam’s broader strategy to integrate data protection, security, and AI governance into a unified operational framework. …
… Ryzen AI Max+ PRO 400 Series Model Cores / Threads Boost / Base Frequency Total Cache Graphics Model cTDP NPU TOPS Graphics CUs Unified Memory Ryzen AI Max+ PRO 495 16C / 32T Up to 5.2 GHz / 3.1 GHz 80 MB AMD Radeon 8065S 45 – 120W Up to 55 TOPS 40 Graphics CUs Up to 192GB Ryzen AI Max+ PRO 490 12C… …
… The systems also adhere to electromagnetic interference EMI protection standards and telecom network specifications, supporting 5G core and RAN infrastructure with an aim for five-nines availability. …
… The companies are working to integrate Google’s Gemini models and Gemini Enterprise offerings into IBM’s software portfolio. This effort aims to integrate advanced foundation models into enterprise workflows while maintaining compatibility with existing IBM platforms. …
… In AI and machine learning use cases, NVMe tiers can be used for active model serving, while HDD tiers provide lower-cost capacity for training datasets and archival data. …
… Integrated with Dell AIOps, the model is intended to turn telemetry into recommended or automated actions while keeping the customer in control. …
… Open Models and Managed RL Pipelines for Agentic AI The platform supports a broad model ecosystem, including Google’s Gemini and Gemma models and NVIDIA’s Nemotron open models. …
… AI-Assisted Engineering Model A core component of Project Lightwell is the deployment of a large-scale engineering organization augmented by AI-driven tooling. …
… SUSE is also framing the platform around digital sovereignty, supporting organizations that need to keep models, data, and operational control within their private infrastructure to meet internal policies or regulatory requirements, such as the EU AI Act. …