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  <title>VelsTech</title>
  <subtitle>Technology explained for everyone – plain-language guides, free tools and real experiments, from choosing a first PC to understanding AI.</subtitle>
  <id>https://velstech.net/</id>
  <link rel="alternate" href="https://velstech.net/" />
  <link rel="self" href="https://velstech.net/feed.xml" />
  <updated>2026-09-05T00:00:00Z</updated>
  <author><name>VelsTech</name></author>

  <entry>
    <title>Gated Delta Net on AMD: why ROCm stumbles on hybrid-attention LLMs</title>
    <link rel="alternate" href="https://velstech.net/gated-delta-net-rocm-hybrid.html" />
    <id>https://velstech.net/gated-delta-net-rocm-hybrid.html</id>
    <published>2026-09-05T00:00:00Z</published>
    <updated>2026-09-05T00:00:00Z</updated>
    <category term="AI" />
    <summary>A llama.cpp warning on my RX 6800M exposed the real problem with the new wave of hybrid-attention models (Qwen3.8, Kimi Linear, Nemotron-H): no fused GDN kernel on ROCm – and what that costs in tokens per second.</summary>
  </entry>
  <entry>
    <title>Qwen3.8 27B GSQ-RCO on RX 6800M: IQ2_XS vs IQ3_S – VelsTech Lab</title>
    <link rel="alternate" href="https://velstech.net/qwen38-27b-gsq-rco-rx6800m.html" />
    <id>https://velstech.net/qwen38-27b-gsq-rco-rx6800m.html</id>
    <published>2026-09-04T00:00:00Z</published>
    <updated>2026-09-05T00:00:00Z</updated>
    <category term="AI" />
    <summary>Tested Qwen3.8 27B GSQ-RCO on a 12 GB RX 6800M – IQ2_XS decodes 20.8 tok/s with 52K context at 90% VRAM, while IQ3_S wins prompt eval but gets stuck at 4K context because --fit aborted on a manual -ngl.</summary>
  </entry>
  <entry>
    <title>GPT-6 Astra: OpenAI's new frontier model, explained</title>
    <link rel="alternate" href="https://velstech.net/gpt-6-astra.html" />
    <id>https://velstech.net/gpt-6-astra.html</id>
    <published>2026-09-04T00:00:00Z</published>
    <updated>2026-09-04T00:00:00Z</updated>
    <category term="AI" />
    <summary>OpenAI launched GPT-6 Astra today. The benchmark numbers that matter, the honest caveats, the pricing – and what it means if you run local AI on AMD hardware.</summary>
  </entry>
  <entry>
    <title>Tiel-Coder 35B-A3B on RX 6800M: MTP vs non-MTP at 262K – VelsTech Lab</title>
    <link rel="alternate" href="https://velstech.net/tiel-coder-35b-mtp-rx6800m.html" />
    <id>https://velstech.net/tiel-coder-35b-mtp-rx6800m.html</id>
    <published>2026-09-01T00:00:00Z</published>
    <updated>2026-09-01T00:00:00Z</updated>
    <category term="AI" />
    <summary>Tested Tiel-Coder-35B-A3B Q4_K_XL on RX 6800M – MTP speculative decoding at 29.09 tok/s vs 25.39 tok/s without MTP, at 262K q8 KV, 28-32 CPU experts, ROCm 10.0.</summary>
  </entry>
  <entry>
    <title>ROCm &amp; Vulkan on AMD: running local AI on Radeon</title>
    <link rel="alternate" href="https://velstech.net/rocm-vulkan-amd-guide.html" />
    <id>https://velstech.net/rocm-vulkan-amd-guide.html</id>
    <published>2026-08-30T00:00:00Z</published>
    <updated>2026-08-30T00:00:00Z</updated>
    <category term="AI" />
    <summary>ROCm vs Vulkan on AMD GPUs for local AI – what each backend is, which to choose, how to install, and real benchmark results on the RX 6800M.</summary>
  </entry>
  <entry>
    <title>Running LLMs on Apple Silicon: a practical guide</title>
    <link rel="alternate" href="https://velstech.net/apple-silicon-llm-guide.html" />
    <id>https://velstech.net/apple-silicon-llm-guide.html</id>
    <published>2026-08-30T00:00:00Z</published>
    <updated>2026-08-30T00:00:00Z</updated>
    <category term="AI" />
    <summary>How M1/M2/M3/M4 Macs run local AI, what unified memory means, which models fit your Mac, and how to get started with Metal.</summary>
  </entry>
  <entry>
    <title>RAG from scratch: ask questions about your own documents</title>
    <link rel="alternate" href="https://velstech.net/rag-from-scratch.html" />
    <id>https://velstech.net/rag-from-scratch.html</id>
    <published>2026-08-30T00:00:00Z</published>
    <updated>2026-08-30T00:00:00Z</updated>
    <category term="AI" />
    <summary>What RAG is, how it works, and a working local example – build a private question-answering system over your own files with an LLM and embeddings.</summary>
  </entry>
  <entry>
    <title>Quantization deep dive: how Q4, Q5, and Q8 change quality and speed</title>
    <link rel="alternate" href="https://velstech.net/quantization-deep-dive.html" />
    <id>https://velstech.net/quantization-deep-dive.html</id>
    <published>2026-08-30T00:00:00Z</published>
    <updated>2026-08-30T00:00:00Z</updated>
    <category term="AI" />
    <summary>How quantization levels (Q4, Q5, Q8) affect LLM quality, size, and speed – with real numbers and practical advice for local AI.</summary>
  </entry>
  <entry>
    <title>KV cache explained: why context windows eat memory</title>
    <link rel="alternate" href="https://velstech.net/kv-cache-explained.html" />
    <id>https://velstech.net/kv-cache-explained.html</id>
    <published>2026-08-30T00:00:00Z</published>
    <updated>2026-08-30T00:00:00Z</updated>
    <category term="AI" />
    <summary>Why longer context windows eat memory, how the key-value cache grows with tokens, and how to calculate it for your own GPU.</summary>
  </entry>
  <entry>
    <title>Flash Attention &amp; speculative decoding: making LLMs faster</title>
    <link rel="alternate" href="https://velstech.net/flash-attention-guide.html" />
    <id>https://velstech.net/flash-attention-guide.html</id>
    <published>2026-08-30T00:00:00Z</published>
    <updated>2026-08-30T00:00:00Z</updated>
    <category term="AI" />
    <summary>How Flash Attention and speculative decoding make LLMs faster and use less memory – and why they matter for running models locally.</summary>
  </entry>
  <entry>
    <title>GGUF explained: the format that makes local LLMs work</title>
    <link rel="alternate" href="https://velstech.net/gguf-explained.html" />
    <id>https://velstech.net/gguf-explained.html</id>
    <published>2026-08-30T00:00:00Z</published>
    <updated>2026-08-30T00:00:00Z</updated>
    <category term="AI" />
    <summary>GGUF is the file format that makes running LLMs locally possible. Here's what it is, what quantization levels mean, and how to pick the right one for your hardware.</summary>
  </entry>
  <entry>
    <title>llama.cpp guide: run GGUF models locally</title>
    <link rel="alternate" href="https://velstech.net/llama-cpp-guide.html" />
    <id>https://velstech.net/llama-cpp-guide.html</id>
    <published>2026-08-30T00:00:00Z</published>
    <updated>2026-08-30T00:00:00Z</updated>
    <category term="AI" />
    <summary>Complete guide to llama.cpp – install it, run GGUF models, enable GPU acceleration, and read the benchmark output. The engine behind Ollama, explained.</summary>
  </entry>
  <entry>
    <title>How to get started with local AI (2026)</title>
    <link rel="alternate" href="https://velstech.net/how-to-get-started-local-ai.html" />
    <id>https://velstech.net/how-to-get-started-local-ai.html</id>
    <published>2026-08-29T00:00:00Z</published>
    <updated>2026-08-29T00:00:00Z</updated>
    <category term="AI" />
    <summary>How to get started with local AI in 2026 – pick the right hardware, install Ollama, download a model, and run it on your own machine. No cloud, no subscription, no jargon.</summary>
  </entry>
  <entry>
    <title>DGX Spark vs RTX Spark vs Ryzen AI Halo: the 2026 local-AI desktop showdown</title>
    <link rel="alternate" href="https://velstech.net/dgx-spark-rtx-spark-ryzen-ai-halo.html" />
    <id>https://velstech.net/dgx-spark-rtx-spark-ryzen-ai-halo.html</id>
    <published>2026-08-29T00:00:00Z</published>
    <updated>2026-08-29T00:00:00Z</updated>
    <category term="Hardware" />
    <summary>NVIDIA DGX Spark, NVIDIA RTX Spark, and AMD Ryzen AI Max (Strix Halo) – three ways to run local AI in 2026. Specs, what each is for, and which one you should buy.</summary>
  </entry>
  <entry>
    <title>Best GPU for running LLMs locally (2026)</title>
    <link rel="alternate" href="https://velstech.net/best-gpu-for-local-llm.html" />
    <id>https://velstech.net/best-gpu-for-local-llm.html</id>
    <published>2026-08-27T00:00:00Z</published>
    <updated>2026-08-27T00:00:00Z</updated>
    <category term="Hardware" />
    <summary>The best GPUs for running LLMs locally in 2026 – RTX vs Radeon, how much VRAM you really need, and what actually matters for llama.cpp and Ollama.</summary>
  </entry>
  <entry>
    <title>How much VRAM do you need for 7B, 14B, and 32B models?</title>
    <link rel="alternate" href="https://velstech.net/how-much-vram-for-llm.html" />
    <id>https://velstech.net/how-much-vram-for-llm.html</id>
    <published>2026-08-27T00:00:00Z</published>
    <updated>2026-08-27T00:00:00Z</updated>
    <category term="AI" />
    <summary>VRAM needed for 7B, 14B, and 32B LLMs – weights, quantization, KV cache, and context length, with a quick-reference table.</summary>
  </entry>
  <entry>
    <title>Best GPU for AI under ₹50,000 (India, 2026)</title>
    <link rel="alternate" href="https://velstech.net/best-gpu-ai-under-50000.html" />
    <id>https://velstech.net/best-gpu-ai-under-50000.html</id>
    <published>2026-08-27T00:00:00Z</published>
    <updated>2026-08-27T00:00:00Z</updated>
    <category term="Hardware" />
    <summary>The best GPUs for AI under ₹50,000 in India – which cards actually fit the budget and can run local LLMs, with VRAM per rupee compared.</summary>
  </entry>
  <entry>
    <title>Xiaomi AI Cube: the mini desktop built for local AI</title>
    <link rel="alternate" href="https://velstech.net/xiaomi-ai-cube.html" />
    <id>https://velstech.net/xiaomi-ai-cube.html</id>
    <published>2026-08-27T00:00:00Z</published>
    <updated>2026-08-27T00:00:00Z</updated>
    <category term="Hardware" />
    <summary>Xiaomi's AI Cube is a small desktop with a big NPU – made to run LLMs locally. Here's what it is, what's inside, and whether it's worth buying.</summary>
  </entry>
  <entry>
    <title>Qwen3.8 Flash Next: Alibaba's new fast reasoning model</title>
    <link rel="alternate" href="https://velstech.net/qwen3-8-flash-next.html" />
    <id>https://velstech.net/qwen3-8-flash-next.html</id>
    <published>2026-08-27T00:00:00Z</published>
    <updated>2026-08-27T00:00:00Z</updated>
    <category term="AI" />
    <summary>Qwen3.8 Flash Next is Alibaba's newest reasoning model – faster, cheaper, and smarter. Here's what changed, how it performs, and how it compares.</summary>
  </entry>
  <entry>
    <title>GLM 5.3: what's new in Zhipu AI's latest model</title>
    <link rel="alternate" href="https://velstech.net/glm-5-3.html" />
    <id>https://velstech.net/glm-5-3.html</id>
    <published>2026-08-27T00:00:00Z</published>
    <updated>2026-08-27T00:00:00Z</updated>
    <category term="AI" />
    <summary>GLM 5.3 is Zhipu AI's newest update – stronger reasoning, better coding, and competitive pricing. Here's what's new and who it's for.</summary>
  </entry>
  <entry>
    <title>Qwen 27B Ridge 3.7bpw on RX 6800M: ROCm vs Vulkan at 16K – VelsTech Lab</title>
    <link rel="alternate" href="https://velstech.net/qwen-27b-ridge-rocm-vs-vulkan.html" />
    <id>https://velstech.net/qwen-27b-ridge-rocm-vs-vulkan.html</id>
    <published>2026-08-27T00:00:00Z</published>
    <updated>2026-08-27T00:00:00Z</updated>
    <category term="AI" />
    <summary>Tested Qwen 27B Ridge at 3.7bpw on a 12GB RX 6800M – ROCm 18.1 tok/s vs Vulkan 21.8 tok/s decode at 16K, with prompt-eval tradeoffs and VRAM fit.</summary>
  </entry>
  <entry>
    <title>Ornith 35B MoE at 262K on RX 6800M: ROCm vs Vulkan – VelsTech Lab</title>
    <link rel="alternate" href="https://velstech.net/ornith-35b-moe-262k-rocm-vs-vulkan.html" />
    <id>https://velstech.net/ornith-35b-moe-262k-rocm-vs-vulkan.html</id>
    <published>2026-08-27T00:00:00Z</published>
    <updated>2026-08-27T00:00:00Z</updated>
    <category term="AI" />
    <summary>Tested Ornith 1.5 35B-A3B MoE at 262K on RX 6800M – ROCm 25.6 tok/s vs Vulkan 19.6 tok/s decode, 83 tok/s prompt, with 28 CPU experts and q8 KV.</summary>
  </entry>
  <entry>
    <title>MoE vs Dense on RX 6800M: 3B Active vs 27B at 16K/262K – VelsTech Lab</title>
    <link rel="alternate" href="https://velstech.net/moe-vs-dense-rx6800m-16k-vs-262k.html" />
    <id>https://velstech.net/moe-vs-dense-rx6800m-16k-vs-262k.html</id>
    <published>2026-08-27T00:00:00Z</published>
    <updated>2026-08-27T00:00:00Z</updated>
    <category term="AI" />
    <summary>Same RX 6800M 12GB – Ornith 35B MoE (3B active, 262K) vs Qwen 27B dense (27B, 16K) at q8 KV, ROCm vs Vulkan head-to-head.</summary>
  </entry>
  <entry>
    <title>Omarchy: the beautiful, opinionated Linux distro everyone's talking about</title>
    <link rel="alternate" href="https://velstech.net/omarchy.html" />
    <id>https://velstech.net/omarchy.html</id>
    <published>2026-08-26T00:00:00Z</published>
    <updated>2026-08-26T00:00:00Z</updated>
    <category term="Operating Systems" />
    <summary>The Arch-based distro made by DHH of Basecamp – beautiful, opinionated, terminal-first. Here's what it is, why it's trending, and whether you should try it.</summary>
  </entry>
  <entry>
    <title>What is machine learning, really?</title>
    <link rel="alternate" href="https://velstech.net/what-is-machine-learning.html" />
    <id>https://velstech.net/what-is-machine-learning.html</id>
    <published>2026-08-25T00:00:00Z</published>
    <updated>2026-09-04T00:00:00Z</updated>
    <category term="AI" />
    <summary>A plain-language look at what learning from data actually means – training, models, and prediction – without the jargon.</summary>
  </entry>
  <entry>
    <title>Installing ROCm on Ubuntu for Radeon GPUs</title>
    <link rel="alternate" href="https://velstech.net/install-rocm-ubuntu.html" />
    <id>https://velstech.net/install-rocm-ubuntu.html</id>
    <published>2026-08-25T00:00:00Z</published>
    <updated>2026-08-25T00:00:00Z</updated>
    <category term="Tutorials" />
    <summary>Step-by-step guide to installing ROCm 7.14 on Ubuntu 26.04 for AMD Radeon (RDNA2/RDNA3) GPUs – from apt setup to rocminfo verification.</summary>
  </entry>
  <entry>
    <title>Installing PyTorch with ROCm on Radeon GPUs</title>
    <link rel="alternate" href="https://velstech.net/install-pytorch-rocm-ubuntu.html" />
    <id>https://velstech.net/install-pytorch-rocm-ubuntu.html</id>
    <published>2026-08-25T00:00:00Z</published>
    <updated>2026-08-25T00:00:00Z</updated>
    <category term="Tutorials" />
    <summary>Step-by-step guide to installing PyTorch with ROCm support on Ubuntu for AMD Radeon (RDNA2) GPUs – venv setup, pip install, and GPU verification.</summary>
  </entry>
  <entry>
    <title>Apple's new Mac desktops: Mac Studio M5 Max/Ultra and Mac mini M6/M5 Pro</title>
    <link rel="alternate" href="https://velstech.net/new-mac-desktops.html" />
    <id>https://velstech.net/new-mac-desktops.html</id>
    <published>2026-08-25T00:00:00Z</published>
    <updated>2026-08-25T00:00:00Z</updated>
    <category term="Hardware" />
    <summary>Apple's compact desktops land on 22 September – the Mac Studio with M5 Max and M5 Ultra, plus the Mac mini with M6 and M5 Pro. Here's what changed and which one is yours.</summary>
  </entry>
  <entry>
    <title>What is a Large Language Model, really?</title>
    <link rel="alternate" href="https://velstech.net/what-is-an-llm.html" />
    <id>https://velstech.net/what-is-an-llm.html</id>
    <published>2026-08-24T00:00:00Z</published>
    <updated>2026-08-24T00:00:00Z</updated>
    <category term="AI" />
    <summary>A plain-language look at how LLMs work under the hood – tokens, context, and probabilities – without the jargon.</summary>
  </entry>
  <entry>
    <title>How to write better prompts</title>
    <link rel="alternate" href="https://velstech.net/better-prompts.html" />
    <id>https://velstech.net/better-prompts.html</id>
    <published>2026-08-24T00:00:00Z</published>
    <updated>2026-08-24T00:00:00Z</updated>
    <category term="AI" />
    <summary>Practical prompting patterns that get better answers from ChatGPT, Claude, and similar tools.</summary>
  </entry>
  <entry>
    <title>Local vs cloud AI: which should you choose?</title>
    <link rel="alternate" href="https://velstech.net/local-vs-cloud-ai.html" />
    <id>https://velstech.net/local-vs-cloud-ai.html</id>
    <published>2026-08-24T00:00:00Z</published>
    <updated>2026-09-04T00:00:00Z</updated>
    <category term="AI" />
    <summary>Privacy, cost, and capability – a comparison of running models on your own hardware versus cloud APIs.</summary>
  </entry>
  <entry>
    <title>How to choose parts for your first PC build</title>
    <link rel="alternate" href="https://velstech.net/first-pc-build.html" />
    <id>https://velstech.net/first-pc-build.html</id>
    <published>2026-08-24T00:00:00Z</published>
    <updated>2026-09-04T00:00:00Z</updated>
    <category term="Hardware" />
    <summary>A beginner-friendly guide to picking a CPU, GPU, RAM, and storage that actually match how you'll use the PC.</summary>
  </entry>
  <entry>
    <title>CPU vs GPU: what does each one do?</title>
    <link rel="alternate" href="https://velstech.net/cpu-vs-gpu.html" />
    <id>https://velstech.net/cpu-vs-gpu.html</id>
    <published>2026-08-24T00:00:00Z</published>
    <updated>2026-09-04T00:00:00Z</updated>
    <category term="Hardware" />
    <summary>Breaking down the two most important components in your machine and when each one matters most.</summary>
  </entry>
  <entry>
    <title>SSD vs HDD: the upgrade that changes everything</title>
    <link rel="alternate" href="https://velstech.net/ssd-vs-hdd.html" />
    <id>https://velstech.net/ssd-vs-hdd.html</id>
    <published>2026-08-24T00:00:00Z</published>
    <updated>2026-09-04T00:00:00Z</updated>
    <category term="Hardware" />
    <summary>Why an SSD makes an old computer feel new again, and how to pick the right drive and size.</summary>
  </entry>
  <entry>
    <title>Linux for beginners: getting started</title>
    <link rel="alternate" href="https://velstech.net/linux-beginners.html" />
    <id>https://velstech.net/linux-beginners.html</id>
    <published>2026-08-24T00:00:00Z</published>
    <updated>2026-08-24T00:00:00Z</updated>
    <category term="Operating Systems" />
    <summary>Picking a distro, installing it, and surviving your first week without breaking anything.</summary>
  </entry>
  <entry>
    <title>Essential terminal commands everyone should know</title>
    <link rel="alternate" href="https://velstech.net/terminal-commands.html" />
    <id>https://velstech.net/terminal-commands.html</id>
    <published>2026-08-24T00:00:00Z</published>
    <updated>2026-08-24T00:00:00Z</updated>
    <category term="Operating Systems" />
    <summary>Navigation, files, permissions, and package management – the commands you'll use every single day.</summary>
  </entry>
  <entry>
    <title>Windows vs Linux: when to use which</title>
    <link rel="alternate" href="https://velstech.net/windows-vs-linux.html" />
    <id>https://velstech.net/windows-vs-linux.html</id>
    <published>2026-08-24T00:00:00Z</published>
    <updated>2026-09-04T00:00:00Z</updated>
    <category term="Operating Systems" />
    <summary>An honest comparison of the two for daily use, gaming, and development work.</summary>
  </entry>
  <entry>
    <title>How does the internet actually work?</title>
    <link rel="alternate" href="https://velstech.net/how-internet-works.html" />
    <id>https://velstech.net/how-internet-works.html</id>
    <published>2026-08-24T00:00:00Z</published>
    <updated>2026-09-04T00:00:00Z</updated>
    <category term="Networking" />
    <summary>A straightforward walkthrough of IP addresses, DNS, and routing – the basics that make the internet tick.</summary>
  </entry>
  <entry>
    <title>Setting up a domain and pointing it anywhere</title>
    <link rel="alternate" href="https://velstech.net/setup-domain.html" />
    <id>https://velstech.net/setup-domain.html</id>
    <published>2026-08-24T00:00:00Z</published>
    <updated>2026-08-24T00:00:00Z</updated>
    <category term="Networking" />
    <summary>How to buy a domain, configure DNS records, and connect it to GitHub Pages, a VPS, or a home server.</summary>
  </entry>
  <entry>
    <title>Self-hosting 101: what can you run at home?</title>
    <link rel="alternate" href="https://velstech.net/self-hosting-101.html" />
    <id>https://velstech.net/self-hosting-101.html</id>
    <published>2026-08-24T00:00:00Z</published>
    <updated>2026-08-24T00:00:00Z</updated>
    <category term="Networking" />
    <summary>From a media server to a personal cloud – services you can run on a Raspberry Pi or old laptop.</summary>
  </entry>
  <entry>
    <title>The only 5 security habits you really need</title>
    <link rel="alternate" href="https://velstech.net/security-habits.html" />
    <id>https://velstech.net/security-habits.html</id>
    <published>2026-08-24T00:00:00Z</published>
    <updated>2026-08-24T00:00:00Z</updated>
    <category term="Security &amp; Privacy" />
    <summary>Passwords, two-factor authentication, updates, backups, and skepticism – the checklist that covers most risks.</summary>
  </entry>
  <entry>
    <title>Password managers: why you need one</title>
    <link rel="alternate" href="https://velstech.net/password-managers.html" />
    <id>https://velstech.net/password-managers.html</id>
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