Tech Trends
57 articles
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AI Workstations Are Getting Smaller, but Data Centres Aren't Going Away
GB10, Mac Studio and RTX Spark put 128–512 GB AI on a desk, while hyperscalers spend ~US$720B+. Which AI work belongs where for Singapore firms.
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The Death of the Traditional Server Room? Why SMEs Are Rethinking On-Premise IT
Hybrid, not dead: what Singapore SMEs keep on-premise, what moves to SaaS or cloud, and what repatriation surveys really show.
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NVIDIA vs AMD for Enterprise AI: Is CUDA Lock-In Becoming a Business Risk?
Where CUDA lock-in really sits in 2026: ROCm 10, vLLM and SGLang support, the CUDA licence clause and how SMEs can keep AI code portable.
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Is LTO Tape Backup Still Relevant in 2027, or Is It Finally Obsolete?
LTO-10 capacity, shipment data, cost per TB vs hard drives, the air-gap case and when Singapore SMEs should skip tape for NAS or cloud backup.
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The AI Storage Crisis: Why Fast SSDs May Become the Next Expensive Bottleneck
Why AI demand pushed enterprise SSD prices up in 2026, when storage speed really limits AI, and how SMEs should plan capacity and endurance.
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Why Your Next Business Laptop Could Cost More but Deliver Less
Laptop prices are up 10–45% in 2026 on memory costs. What analysts and PC makers report, which specs are being trimmed and how to compare quotes.
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Mac Studio vs RTX Spark: Which AI Computer Will Be Obsolete First?
Mac Studio vs RTX Spark longevity: soldered memory, 128GB vs 512GB, bandwidth, macOS support history, CUDA on Windows on Arm status and roadmaps compared.
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Mac Studio M5 Ultra vs NVIDIA RTX Spark: Is 128GB Still Enough for Local AI?
Is 128GB still enough for local AI? What fits on RTX Spark vs Mac Studio M5 Ultra 256GB and 512GB, GPU memory limits, model trends and Singapore prices.
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The End of CUDA Dominance? Apple's Biggest Opportunity in Local AI
CUDA vs Apple Metal and MLX for local AI in 2026: what runs on a Mac Studio, DGX Spark and RTX Spark, where CUDA still wins, and what...
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Your GPU Has 20 Petaflops of Power. So Why Is Your AI Model Still Slow?
Why a 20-petaflop GB300 can still run slow: memory bandwidth, CPU-GPU links, storage, software and network bottlenecks, with figures to diagnose each.
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ASUS ProArt GR1X and the Death of the Traditional AI Desktop? Not So Fast
Can compact RTX Spark agent computers like the ASUS ProArt GR1X replace GPU towers? Memory, bandwidth, expansion and software compared.
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ASUS ProArt GR1X: Should You Buy Now or Wait for the Next NVIDIA AI Chip?
Should you buy the ASUS ProArt GR1X now or wait? NVIDIA's RTX Spark roadmap, memory prices, software maturity and a simple checklist to decide.
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Will the ASUS ProArt GR1X Become Obsolete Faster Than a Traditional GPU Workstation?
Will the ASUS ProArt GR1X age faster than a GPU workstation? Soldered memory, model growth, NVIDIA's roadmap, driver support and how to buy for 3 years.
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PCIe 6.0 vs NVIDIA NVLink: Is Traditional GPU Connectivity Reaching Its Limits?
PCIe 6.0, 7.0 and 8.0 vs NVLink 5 and 6 per direction and bidirectional, first Gen6 products, UALink and what it means for multi-GPU workstations.
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37TB of Memory and 130TB/s NVLink: Is NVIDIA GB300 NVL72 the Ultimate AI Factory?
GB300 NVL72's 37TB memory, 130TB/s NVLink and 1.44EF FP4: model capacity, training, inference, 132-142kW power and whether it is the ultimate AI factory.
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Is NVLink NVIDIA's Biggest Competitive Advantage, Not Its GPUs?
NVLink and NVSwitch vs AMD Helios, Google TPU, AWS Trainium and UALink: the evidence for and against NVLink as NVIDIA's competitive moat in 2026.
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RTX PRO 6000 Blackwell Uses PCIe 5.0. So Why Does NVIDIA GB300 Need NVLink?
Why the RTX PRO 6000 is fine on PCIe 5.0, when PCIe becomes the bottleneck, and why GB300 uses NVLink-C2C and an NVL72 NVLink fabric. Figures compared.
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Why NVIDIA's Most Powerful AI Systems Don't Rely on PCIe Alone
NVLink 5, NVLink-C2C and NVSwitch vs PCIe: bandwidth, coherence, 72-GPU switching and power. Where PCIe still fits in GB300 and DGX Station.
