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AI & Workstations
Research on DGX Spark, DGX Station, ASUS Ascent GX10, local LLM deployment and AI PCs: capability, cost and fit.
327 articles
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Microsoft 365 Outage Hit AI Too: Copilot, ChatGPT and Claude Connectors Reported Affected
During the November 2026 Microsoft 365 outage, Microsoft listed Copilot as potentially impacted, and OpenAI and Anthropic reported Microsoft 365 connector issues. What was reported and what to...
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What Happens If Your AI Workstation SSD Fails Tomorrow?
One SSD failure can erase months of AI work. What is lost, how recovery goes with and without a backup, and the workflow that makes it a minor...
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The 3-2-1 Backup Rule for AI Infrastructure: Is It Still Enough in 2027?
The 3-2-1 rule still stands, but ransomware exposed two gaps. What 3-2-1-1-0 adds, and how to apply it to models, datasets and AI servers.
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Your AI Is Only as Safe as Your Backup: Why AI Infrastructure Needs a Recovery Plan
Companies spend heavily on AI compute and almost nothing protecting what it produces. What an AI recovery plan covers and what it should cost.
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Synology NAS for AI Developers: A Practical Storage Buying Guide
A storage buying guide for AI developers: how to work out capacity, how many bays, which drives, what network speed, and which NAS class fits each team size.
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How to Back Up Your AI Models, Datasets and Training Checkpoints
Not everything in an AI project needs the same protection. What is replaceable, what is not, how to handle checkpoints, and a backup plan that fits.
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Building a Small AI Lab: Can Multiple AI Workstations Share One Synology NAS?
Several AI workstations can share one NAS if the network, folder layout and permissions are planned. How to build a small multi-user AI lab around it.
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Synology NAS vs Local SSD: Where Should You Store Your AI Models?
Local NVMe loads models fastest; a NAS holds far more and protects it. How the two compare on speed, capacity, reliability and cost, and how to use both.
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Synology NAS + NVIDIA DGX Spark: Building a Complete Local AI Setup
How to pair an NVIDIA DGX Spark with a Synology NAS: what each one does, how to connect them, a folder layout that works, and the backup that...
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AI Workstation + NAS + UPS: The Complete Small Business AI Infrastructure Setup
An AI system alone is not an AI setup. The four other parts a small business needs, with two worked configurations and what each one costs.
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Can AI Search 10 Years of Company Documents in Seconds?
Searching is fast; preparing the index is the work. How semantic search over years of documents works, how long indexing takes and what hardware it needs.
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From File Server to AI Knowledge Hub: Giving Your Company Documents a Second Life
Years of files on a NAS can feed a private AI assistant, but only after some housekeeping. What to clean up, what to add, and what the NAS...
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What Is Test-Time Compute and Why Does It Matter for AI Hardware?
Test-time compute explained: how reasoning models spend extra computation at inference, the effect on tokens, latency and cost, and hardware sizing.
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Small Language Models vs Large Language Models: Is Smaller Better?
Small language models vs large language models: accuracy, cost, efficiency and the memory and hardware each needs, with a practical sizing table.
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Multimodal AI Explained: When AI Can See, Hear and Understand
Multimodal AI and vision-language models explained: how they read images, audio and video, business applications, and what hardware runs them locally.
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What Is World Model AI? The Next Step Beyond Large Language Models
What world models are, how they differ from large language models, examples such as Genie 3 and NVIDIA Cosmos 3, business uses and hardware needs.
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What Is Physical AI? Why Robots Need More Than Just GPUs
Physical AI and embodied AI explained for Singapore businesses: the sense-think-act loop, sensors, simulation, world models and Jetson edge computers.
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Ollama vs LM Studio vs vLLM: Which Is Best for Local AI?
Ollama vs LM Studio vs vLLM compared: licence, ease of use, multi-user performance and which fits a laptop, a team server or production.
