SourceIT › News › Articles by: Wei Fei
Wei Fei
Wei Fei is an IT nerd with over 12 years of experience in the technology industry. Passionate about all things tech, he enjoys exploring the latest gadgets, IT solutions and emerging technologies. With hands-on experience in the IT and AV industry, he shares practical insights, industry trends and tech discoveries in a simple, down-to-earth way. Keen to collaborate or explore something together? Drop him a note at sales@sourceit.com.sg!
1071 Articles
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Do AI Artists Really Need an RTX 5090?
Do AI artists need an RTX 5090? FLUX and SDXL speeds vs RTX 5060 Ti and 3090, VRAM needs for FLUX.2 and cheaper GPU alternatives.
Wei Fei
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Undervolting an RTX 5090: Can Less Power Deliver Almost the Same Performance?
RTX 5090 undervolting and power limits: published results, frames per watt, AI throughput at 400 W, Singapore running-cost savings and risks.
Wei Fei
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RTX 5090 for Blender: Could One GPU Transform Your 3D Rendering Workflow?
RTX 5090 Blender performance from Blender Open Data: medians vs RTX 4090, 5080, 3090 and RTX PRO 6000, VRAM limits and how to benchmark.
Wei Fei
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RTX 5090 vs ASUS Ascent GX10: Should AI Developers Buy a Gaming PC Instead?
RTX 5090 gaming PC vs ASUS Ascent GX10 for AI developers: 32GB VRAM vs 128GB unified memory, GX10 models, workloads, prices in Singapore.
Wei Fei
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RTX 5090 Has 32GB VRAM. Why Are AI Developers Still Complaining?
Why 32GB on the RTX 5090 runs out for AI: model sizes, KV cache and long context, multi-user serving, fine-tuning limits and alternatives.
Wei Fei
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One RTX PRO 6000 or Four RTX PRO 6000 GPUs: Why OEM Workstation Design Matters
Four RTX PRO 6000 Blackwell cards in one workstation: PCIe topology, GPU spacing, Max-Q cooling, 2.2–2.7 kW power and OEM-validated configurations.
Wei Fei
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The End of DIY AI Workstations? Why Enterprise Buyers Are Turning to OEM Systems
DIY vs OEM AI workstations for business: warranty, validated multi-GPU configs, ISV certification, power design, fleet management and when DIY still wins.
Wei Fei
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The RTX 5090 Shortage: Why System Builders Might Have the Upper Hand
How OEMs and system builders kept RTX 5090 PCs on sale in 2026 when cards vanished, why they absorb memory costs better, and where that edge ends.
Wei Fei
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Building Your Own RTX PRO 6000 Workstation? Here's What Could Go Wrong.
DIY RTX PRO 6000 Blackwell build risks: card fit, 600 W power, heat, stacked GPUs, BIOS boot errors and who handles warranty when parts fail.
Wei Fei
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RTX 5090 vs RTX PRO 6000: Which One Should AI Developers Buy During a GPU Shortage?
RTX 5090 or RTX PRO 6000 for AI development in a shortage: availability, whole-system cost, licence, ECC and the GB10 and laptop-GPU alternatives.
Wei Fei
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Is NVIDIA Quietly Pushing Buyers Towards Complete Workstations?
What NVIDIA has said, which market signals look like a push to complete systems, and why the simpler explanation is memory supply and economics.
Wei Fei
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HP vs Lenovo vs Dell vs ASUS: Who Builds the Better RTX PRO 6000 Workstation?
RTX PRO 6000 workstations compared: HP Z8 Fury, Lenovo ThinkStation P8 and PX, Dell Precision and Pro Max, ASUS ET900A. Limits, power, warranty, SG prices.
Wei Fei
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From 10,000 Documents to One Private AI Brain: What Can DGX Station Really Deliver?
What a DGX Station GB300 delivers for private AI search across 10,000 documents: corpus sizing, RAG pipeline, users served, permissions and pitfalls.
Wei Fei
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Can NVIDIA DGX Station Become the Foundation of Your Company's Private AI Cloud?
Turn a DGX Station GB300 into a private AI cloud: OpenAI-compatible API, gateway budgets, SSO, audit logs, MIG quotas and the limits of a single node.
Wei Fei
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Can NVIDIA DGX Station Reduce the Cost of Enterprise AI Customer Service?
AI customer-service cost per ticket on Claude, GPT and Gemini APIs vs an owned DGX Station GB300, with break-even volumes and agent-workflow scenarios.
Wei Fei
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NVIDIA DGX Station's 748GB Memory: Can It Really Handle a Trillion-Parameter AI Model?
A 1T model needs ~500GB at 4-bit, 1,000GB at 8-bit. KV cache, context length, HBM3e vs LPDDR5X and what DGX Station GB300 can really run.
Wei Fei
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How Many Tokens Must a DGX Station Generate Before It Pays for Itself?
Break-even maths for a DGX Station: tokens per month needed at S$120k-S$180k hardware against hosted open models, GPT, Sonnet and Opus API prices.
Wei Fei
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The Sovereign AI Revolution: Why Singapore Businesses Should Consider Running AI Locally
PDPC GenAI guidelines, MAS AI risk rules, vendor processing locations and EDGE grants: when Singapore businesses should run AI locally, and when not.
Wei Fei
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Inside NVIDIA DGX Station GB300: What Can 20 Petaflops Actually Do?
What 20 petaflops means on the DGX Station GB300: measured 6.1 PF NVFP4, Grace CPU, Tensor Cores, memory bandwidth and the workloads that use the compute.
Wei Fei
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A S$150,000 AI Workstation: How Much Productivity Must It Generate to Justify the Investment?
A transparent three-year ROI model for an NVIDIA DGX Station in Singapore: costs, hours to save per employee, sensitivity and how to test the case.
Wei Fei
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