<?xml version="1.0" encoding="utf-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
  <title>VelsTech Solutions</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>2026-10-18T00:00:00Z</updated>
  <author><name>Velmurugan Ponraj</name></author>

  <entry>
    <title>Muse Spark Open: Meta's 816B open-weights model</title>
    <link rel="alternate" href="https://velstech.net/muse-spark-open" />
    <id>https://velstech.net/muse-spark-open</id>
    <published>2026-10-17T00:00:00Z</published>
    <updated>2026-10-17T00:00:00Z</updated>
    <category term="AI" />
    <summary>Meta's 816B open-weights Muse Spark Open explained: 42B active, 1M context, the license's $20M hosting gate, and the 493GB rig it takes to run.</summary>
  </entry>
  <entry>
    <title>NVIDIA RTX Spark laptops: N1X specs, prices, benchmarks, explained</title>
    <link rel="alternate" href="https://velstech.net/rtx-spark-laptops" />
    <id>https://velstech.net/rtx-spark-laptops</id>
    <published>2026-10-16T00:00:00Z</published>
    <updated>2026-10-16T00:00:00Z</updated>
    <category term="Hardware" />
    <summary>RTX Spark laptops launch Oct 16 from $2,599: N1X pairs Blackwell RTX graphics with a Grace CPU and up to 128GB unified memory. Specs and the catch.</summary>
  </entry>
  <entry>
    <title>Tesla Roadster 2028: Performance, Thrust and Rocket variants, explained</title>
    <link rel="alternate" href="https://velstech.net/tesla-roadster-2028" />
    <id>https://velstech.net/tesla-roadster-2028</id>
    <published>2026-10-16T00:00:00Z</published>
    <updated>2026-10-16T00:00:00Z</updated>
    <category term="Hardware" />
    <summary>Tesla unveiled the next-gen Roadster with SpaceX cold-gas thrusters: three variants, a sub-one-second 0-60 claim, 2028 production target. Specs and deposits.</summary>
  </entry>
  <entry>
    <title>GMKtec Evo-X5 Pro: 192GB Ryzen AI Max+ PRO 495 mini PC, explained</title>
    <link rel="alternate" href="https://velstech.net/gmktec-evo-x5-pro" />
    <id>https://velstech.net/gmktec-evo-x5-pro</id>
    <published>2026-10-13T00:00:00Z</published>
    <updated>2026-10-13T00:00:00Z</updated>
    <category term="Hardware" />
    <summary>GMKtec Evo-X5 Pro: Ryzen AI Max+ PRO 495 mini PC with 192GB unified memory and 160GB shared VRAM for $6,799. Specs, price, Linux notes, verdict.</summary>
  </entry>
  <entry>
    <title>Muse Wonder: Meta's frontier agent model, explained</title>
    <link rel="alternate" href="https://velstech.net/muse-wonder" />
    <id>https://velstech.net/muse-wonder</id>
    <published>2026-10-12T00:00:00Z</published>
    <updated>2026-10-18T00:00:00Z</updated>
    <category term="AI" />
    <summary>Meta's Muse Wonder hits the API at $4/$20 per million tokens; Wonder Full stays Muse Code-only. Benchmarks, Active Memory/Focus, and the honest read.</summary>
  </entry>
  <entry>
    <title>Claude Haiku 5.5: benchmarks, pricing, what's new</title>
    <link rel="alternate" href="https://velstech.net/claude-haiku-5-5" />
    <id>https://velstech.net/claude-haiku-5-5</id>
    <published>2026-10-07T00:00:00Z</published>
    <updated>2026-10-07T00:00:00Z</updated>
    <category term="AI" />
    <summary>Claude Haiku 5.5 (Oct 7, 2026): Anthropic's fastest, cheapest model — $0.10/$0.50 per 1M (≤100k), 39.2% Terminal-Bench, 1620 GDPval-AA, adjustable effort, fits Claude stack.</summary>
  </entry>
  <entry>
    <title>How to Make Your Resume ATS-Friendly</title>
    <link rel="alternate" href="https://velstech.net/ats-friendly-resume-guide" />
    <id>https://velstech.net/ats-friendly-resume-guide</id>
    <published>2026-10-07T00:00:00Z</published>
    <updated>2026-10-07T00:00:00Z</updated>
    <category term="Tutorials" />
    <summary>Get past resume robots: what ATS software actually parses, the rules that matter, and a free in-browser checker with job-description matching.</summary>
  </entry>
  <entry>
    <title>GPT-6.1 Sol: near-Astra smarts at one-fifth the price</title>
    <link rel="alternate" href="https://velstech.net/gpt-6-1-sol" />
    <id>https://velstech.net/gpt-6-1-sol</id>
    <published>2026-10-03T00:00:00Z</published>
    <updated>2026-10-03T00:00:00Z</updated>
    <category term="AI" />
    <summary>GPT-6.1 Sol (Sept 29, 2026) matches Astra on coding at $2/$10 with $0.10 cache. Benchmarks, effort levels, 272K billing cliff, Sol vs Astra picks.</summary>
  </entry>
  <entry>
    <title>DGX Spark 64GB: NVIDIA's cheaper AI desktop, explained</title>
    <link rel="alternate" href="https://velstech.net/dgx-spark-64gb" />
    <id>https://velstech.net/dgx-spark-64gb</id>
    <published>2026-10-03T00:00:00Z</published>
    <updated>2026-10-03T00:00:00Z</updated>
    <category term="Hardware" />
    <summary>64GB DGX Spark lands Oct 23 at $4,999 with the same GB10 chip and 100B-parameter inference. Specs vs 128GB, what fits, India price, who should buy.</summary>
  </entry>
  <entry>
    <title>Gemini 4 Argon: Google's defender-first frontier model</title>
    <link rel="alternate" href="https://velstech.net/gemini-4-argon" />
    <id>https://velstech.net/gemini-4-argon</id>
    <published>2026-10-01T00:00:00Z</published>
    <updated>2026-10-01T00:00:00Z</updated>
    <category term="AI" />
    <summary>Google's Gemini 4 Argon rolls out to trusted cyber defenders first, with a 1M-token output limit and frontier coding and security scores.</summary>
  </entry>
  <entry>
    <title>Claude Sonnet 5.5: benchmarks, pricing, what's new</title>
    <link rel="alternate" href="https://velstech.net/claude-sonnet-5-5" />
    <id>https://velstech.net/claude-sonnet-5-5</id>
    <published>2026-09-29T00:00:00Z</published>
    <updated>2026-09-29T00:00:00Z</updated>
    <category term="AI" />
    <summary>Claude Sonnet 5.5 released Sept 28, 2026: 70.6% Terminal-Bench, pricing ($2 input / $10 output), model ID claude-sonnet-5-5, 30% faster output, safety and where to use it.</summary>
  </entry>
  <entry>
    <title>Muse: Meta's personal AI agent, explained</title>
    <link rel="alternate" href="https://velstech.net/meta-muse" />
    <id>https://velstech.net/meta-muse</id>
    <published>2026-09-24T00:00:00Z</published>
    <updated>2026-10-17T00:00:00Z</updated>
    <category term="AI" />
    <summary>Meta launched Muse on Sept 8, 2026: a personal AI agent on a Secure VM, powered by Muse Spark 1.3. Features, pricing, US-only availability, the Spark and Glimmer model family, API prices, and local-AI takeaways.</summary>
  </entry>
  <entry>
    <title>Claude Opus 5.5: benchmarks, pricing, what's new</title>
    <link rel="alternate" href="https://velstech.net/claude-opus-5-5" />
    <id>https://velstech.net/claude-opus-5-5</id>
    <published>2026-09-24T00:00:00Z</published>
    <updated>2026-09-24T00:00:00Z</updated>
    <category term="AI" />
    <summary>Claude Opus 5.5 released Sept 22, 2026: benchmarks vs Opus 5, Fable 5.1 and GPT-6 Astra, pricing ($4 input / $20 output), 1M context, model ID claude-opus-5-5, speed, safety and where to use it.</summary>
  </entry>
  <entry>
    <title>Local AI vs Cloud API: True Cost Comparison (2026)</title>
    <link rel="alternate" href="https://velstech.net/local-ai-vs-cloud-cost" />
    <id>https://velstech.net/local-ai-vs-cloud-cost</id>
    <published>2026-09-22T00:00:00Z</published>
    <updated>2026-09-22T00:00:00Z</updated>
    <category term="AI" />
    <summary>When does a local GPU beat cloud APIs? Worked break-even math for chat, coding agents and automation using real per-token prices vs hardware costs.</summary>
  </entry>
  <entry>
    <title>LLM Hardware Requirements Checklist: VRAM, RAM, CPU &amp; PSU</title>
    <link rel="alternate" href="https://velstech.net/llm-hardware-requirements" />
    <id>https://velstech.net/llm-hardware-requirements</id>
    <published>2026-09-22T00:00:00Z</published>
    <updated>2026-09-22T00:00:00Z</updated>
    <category term="Hardware" />
    <summary>Will an LLM run on your machine? VRAM by model size, system RAM, CPU, SSD and PSU checklist for running 7B-70B models locally, with calculator links.</summary>
  </entry>
  <entry>
    <title>Xiaomi MiMo V2.6 Pro and Flash: 1M-context open weights</title>
    <link rel="alternate" href="https://velstech.net/mimo-v2-6" />
    <id>https://velstech.net/mimo-v2-6</id>
    <published>2026-09-22T00:00:00Z</published>
    <updated>2026-09-22T00:00:00Z</updated>
    <category term="AI" />
    <summary>Xiaomi open-sourced MiMo V2.6 Pro (1T) and Flash (309B) on Sept 21, 2026: 1M omnimodal context, RL trained live in public, AA Index 46.32, DeepSWE 72.6%. Pro vs Flash vs UltraSpeed prices, benchmarks and local-AI takeaways.</summary>
  </entry>
  <entry>
    <title>Grok 4.7: xAI's 2.1T SpaceX-trained flagship, explained</title>
    <link rel="alternate" href="https://velstech.net/grok-4-7" />
    <id>https://velstech.net/grok-4-7</id>
    <published>2026-09-22T00:00:00Z</published>
    <updated>2026-09-22T00:00:00Z</updated>
    <category term="AI" />
    <summary>xAI shipped Grok 4.7 on Sept 21, 2026: 2.1T params, SpaceX-data training, 500K context, $2/$6 pricing, DeepSWE 71% and AA Coding Index 56. What improved, what didn't, and what it means for local AI.</summary>
  </entry>
  <entry>
    <title>Suggest agent skills with Jev: rank, verify, load one</title>
    <link rel="alternate" href="https://velstech.net/jev-skill-suggestion" />
    <id>https://velstech.net/jev-skill-suggestion</id>
    <published>2026-09-20T00:00:00Z</published>
    <updated>2026-09-20T00:00:00Z</updated>
    <category term="AI" />
    <summary>TypeSafe skill-suggestion cookbook: Choice ranking over 182 skills plus Noul gates cuts wrong skill loads 16.8% to 7.3% and needless loads 9.8% to 4.0%.</summary>
  </entry>
  <entry>
    <title>Filter RAG passages with Jev: 4 Nouls before generation</title>
    <link rel="alternate" href="https://velstech.net/jev-rag-passage-gate" />
    <id>https://velstech.net/jev-rag-passage-gate</id>
    <published>2026-09-20T00:00:00Z</published>
    <updated>2026-09-20T00:00:00Z</updated>
    <category term="AI" />
    <summary>TypeSafe RAG cookbook: score each retrieved passage for relevance, evidence, contradiction and injection, route in code — the planted injection scores 0.99 and never reaches the prompt.</summary>
  </entry>
  <entry>
    <title>Dates with Jev: extract parts as Choices, resolve in code</title>
    <link rel="alternate" href="https://velstech.net/jev-date-extraction" />
    <id>https://velstech.net/jev-date-extraction</id>
    <published>2026-09-20T00:00:00Z</published>
    <updated>2026-09-20T00:00:00Z</updated>
    <category term="AI" />
    <summary>TypeSafe date-extraction cookbook: 7 Choice questions read a date's parts off the text, code resolves absolute and relative dates with confidence gating — 6/6 on the demo set.</summary>
  </entry>
  <entry>
    <title>Jev 1.13 jaggedness: 9 failure modes and what to do instead</title>
    <link rel="alternate" href="https://velstech.net/jev-1-13-jaggedness" />
    <id>https://velstech.net/jev-1-13-jaggedness</id>
    <published>2026-09-20T00:00:00Z</published>
    <updated>2026-09-20T00:00:00Z</updated>
    <category term="AI" />
    <summary>Jev 1.13 is fast and calibrated but literal: 9 known jagged edges from TypeSafe docs — counting, dates, indirection, large state — and the code-first fixes that avoid them.</summary>
  </entry>
  <entry>
    <title>Ternary-Bonsai-2-27B on RX 6800M: PTQ1_0 vs PQ2_0</title>
    <link rel="alternate" href="https://velstech.net/ternary-bonsai-2-27b-rx6800m" />
    <id>https://velstech.net/ternary-bonsai-2-27b-rx6800m</id>
    <published>2026-09-19T00:00:00Z</published>
    <updated>2026-09-19T00:00:00Z</updated>
    <category term="AI" />
    <summary>Tested Ternary-Bonsai-2-27B ternary quants on a 12GB RX 6800M – stock llama.cpp rejects type 143/142, Prism fork + gfx1031 source build fixes it, PQ2_0 decodes 32.8 tok/s vs PTQ1_0 18.8 tok/s.</summary>
  </entry>
  <entry>
    <title>Spark-X2.5 4B on RX 6800M: BF16 vs Q8_0 vs Q4_K_M</title>
    <link rel="alternate" href="https://velstech.net/spark-x2-5-quants-rx6800m" />
    <id>https://velstech.net/spark-x2-5-quants-rx6800m</id>
    <published>2026-09-13T00:00:00Z</published>
    <updated>2026-09-13T00:00:00Z</updated>
    <category term="AI" />
    <summary>Three quants of Spark-X2.5 4B side by side on a 12 GB RX 6800M: Q8_0 wins prompt eval at 2149 tok/s, Q4_K_M wins decode at 98.5 tok/s with 254K context fit, and BF16 loses a quality task to both.</summary>
  </entry>
  <entry>
    <title>DeepSeek V4.1 Flash: 552B open MoE at quarter price</title>
    <link rel="alternate" href="https://velstech.net/deepseek-v4-1-flash" />
    <id>https://velstech.net/deepseek-v4-1-flash</id>
    <published>2026-09-11T00:00:00Z</published>
    <updated>2026-09-11T00:00:00Z</updated>
    <category term="AI" />
    <summary>DeepSeek V4.1 Flash is a 552B open-weights MoE with 8B/16B active params, 1M context and native vision – beating V4 Pro on agentic benchmarks at roughly a quarter of the price. Full pricing, benchmarks vs GPT-6 Astra, Claude Fable 5.1 and GLM 5.3, plus what it means for local AI.</summary>
  </entry>
  <entry>
    <title>Claude Fable 5.1: the frontier model left to its work</title>
    <link rel="alternate" href="https://velstech.net/claude-fable-5-1" />
    <id>https://velstech.net/claude-fable-5-1</id>
    <published>2026-09-09T00:00:00Z</published>
    <updated>2026-09-09T00:00:00Z</updated>
    <category term="AI" />
    <summary>Anthropic's Claude Fable 5.1 is less about a flashy chat demo and more about reliable, long-running coding and research. Here is what changed, what the benchmarks really say, and who should care.</summary>
  </entry>
  <entry>
    <title>Claude Fable 5.1 vs GPT-6 Astra: a two-way comparison</title>
    <link rel="alternate" href="https://velstech.net/claude-fable-5-1-vs-gpt-6-astra" />
    <id>https://velstech.net/claude-fable-5-1-vs-gpt-6-astra</id>
    <published>2026-09-09T00:00:00Z</published>
    <updated>2026-09-09T00:00:00Z</updated>
    <category term="AI" />
    <summary>Claude Fable 5.1 and GPT-6 Astra are both frontier cloud models, but they optimize for different kinds of work. A practical comparison of coding agents, computer use, research, price, safeguards, and local-AI implications.</summary>
  </entry>
  <entry>
    <title>“fused Gated Delta Net not supported” on AMD ROCm: fix it</title>
    <link rel="alternate" href="https://velstech.net/gated-delta-net-rocm-hybrid" />
    <id>https://velstech.net/gated-delta-net-rocm-hybrid</id>
    <published>2026-09-05T00:00:00Z</published>
    <updated>2026-09-22T00:00:00Z</updated>
    <category term="AI" />
    <summary>&quot;fused Gated Delta Net (chunked) not supported, set to disabled&quot; — if llama.cpp prints this on your AMD GPU, a hybrid-attention model (Qwen3.8, Kimi Linear, Nemotron-H) has lost its fast kernel on ROCm. What the warning means, what it costs in tok/s on an RX 6800M, and three checks to fix it.</summary>
  </entry>
  <entry>
    <title>Qwen3.8 27B GSQ-RCO on RX 6800M: IQ2_XS vs IQ3_S</title>
    <link rel="alternate" href="https://velstech.net/qwen38-27b-gsq-rco-rx6800m" />
    <id>https://velstech.net/qwen38-27b-gsq-rco-rx6800m</id>
    <published>2026-09-04T00:00:00Z</published>
    <updated>2026-09-22T00:00:00Z</updated>
    <category term="AI" />
    <summary>Qwen3.8 27B GSQ-RCO on a 12 GB RX 6800M – IQ2_XS decodes 20.8 tok/s at 52K context vs IQ3_S stuck at 4K, plus fixes for the --fit abort, TOP_K on ROCm, and the fused GDN warning.</summary>
  </entry>
  <entry>
    <title>GPT-6 Astra: OpenAI's new frontier model, explained</title>
    <link rel="alternate" href="https://velstech.net/gpt-6-astra" />
    <id>https://velstech.net/gpt-6-astra</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</title>
    <link rel="alternate" href="https://velstech.net/tiel-coder-35b-mtp-rx6800m" />
    <id>https://velstech.net/tiel-coder-35b-mtp-rx6800m</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 vs Vulkan on AMD: faster backend for local AI?</title>
    <link rel="alternate" href="https://velstech.net/rocm-vulkan-amd-guide" />
    <id>https://velstech.net/rocm-vulkan-amd-guide</id>
    <published>2026-08-30T00:00:00Z</published>
    <updated>2026-09-22T00:00:00Z</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>Run LLMs on Mac: Apple Silicon Guide (M1–M4, Memory, Metal)</title>
    <link rel="alternate" href="https://velstech.net/apple-silicon-llm-guide" />
    <id>https://velstech.net/apple-silicon-llm-guide</id>
    <published>2026-08-30T00:00:00Z</published>
    <updated>2026-09-22T00:00:00Z</updated>
    <category term="AI" />
    <summary>Run LLMs on Mac: how M1/M2/M3/M4 Apple Silicon runs local AI, what unified memory means, which Mac fits which model, 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" />
    <id>https://velstech.net/rag-from-scratch</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: how Q4, Q5 and Q8 change quality, speed</title>
    <link rel="alternate" href="https://velstech.net/quantization-deep-dive" />
    <id>https://velstech.net/quantization-deep-dive</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" />
    <id>https://velstech.net/kv-cache-explained</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: faster LLMs</title>
    <link rel="alternate" href="https://velstech.net/flash-attention-guide" />
    <id>https://velstech.net/flash-attention-guide</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" />
    <id>https://velstech.net/gguf-explained</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>How to Run llama.cpp Locally – Install, GPU &amp; GGUF Guide</title>
    <link rel="alternate" href="https://velstech.net/llama-cpp-guide" />
    <id>https://velstech.net/llama-cpp-guide</id>
    <published>2026-08-30T00:00:00Z</published>
    <updated>2026-09-22T00:00:00Z</updated>
    <category term="AI" />
    <summary>How to run llama.cpp: build from source on Linux, macOS and Windows, run your first GGUF model, enable CUDA/ROCm/Vulkan GPU offload, and read tok/s benchmark output.</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" />
    <id>https://velstech.net/how-to-get-started-local-ai</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: desktop showdown</title>
    <link rel="alternate" href="https://velstech.net/dgx-spark-rtx-spark-ryzen-ai-halo" />
    <id>https://velstech.net/dgx-spark-rtx-spark-ryzen-ai-halo</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" />
    <id>https://velstech.net/best-gpu-for-local-llm</id>
    <published>2026-08-27T00:00:00Z</published>
    <updated>2026-09-22T00:00:00Z</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" />
    <id>https://velstech.net/how-much-vram-for-llm</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" />
    <id>https://velstech.net/best-gpu-ai-under-50000</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" />
    <id>https://velstech.net/xiaomi-ai-cube</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" />
    <id>https://velstech.net/qwen3-8-flash-next</id>
    <published>2026-08-27T00:00:00Z</published>
    <updated>2026-09-22T00:00:00Z</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" />
    <id>https://velstech.net/glm-5-3</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</title>
    <link rel="alternate" href="https://velstech.net/qwen-27b-ridge-rocm-vs-vulkan" />
    <id>https://velstech.net/qwen-27b-ridge-rocm-vs-vulkan</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</title>
    <link rel="alternate" href="https://velstech.net/ornith-35b-moe-262k-rocm-vs-vulkan" />
    <id>https://velstech.net/ornith-35b-moe-262k-rocm-vs-vulkan</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 vs 27B at 16K/262K</title>
    <link rel="alternate" href="https://velstech.net/moe-vs-dense-rx6800m-16k-vs-262k" />
    <id>https://velstech.net/moe-vs-dense-rx6800m-16k-vs-262k</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</title>
    <link rel="alternate" href="https://velstech.net/omarchy" />
    <id>https://velstech.net/omarchy</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" />
    <id>https://velstech.net/what-is-machine-learning</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" />
    <id>https://velstech.net/install-rocm-ubuntu</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" />
    <id>https://velstech.net/install-pytorch-rocm-ubuntu</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: Studio M5 Max/Ultra, mini M6</title>
    <link rel="alternate" href="https://velstech.net/new-mac-desktops" />
    <id>https://velstech.net/new-mac-desktops</id>
    <published>2026-08-25T00:00:00Z</published>
    <updated>2026-09-24T00:00:00Z</updated>
    <category term="Hardware" />
    <summary>Mac Studio (M5 Max/Ultra) and Mac mini (M6/M5 Pro) are on sale now – 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" />
    <id>https://velstech.net/what-is-an-llm</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" />
    <id>https://velstech.net/better-prompts</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" />
    <id>https://velstech.net/local-vs-cloud-ai</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" />
    <id>https://velstech.net/first-pc-build</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" />
    <id>https://velstech.net/cpu-vs-gpu</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" />
    <id>https://velstech.net/ssd-vs-hdd</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" />
    <id>https://velstech.net/linux-beginners</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" />
    <id>https://velstech.net/terminal-commands</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" />
    <id>https://velstech.net/windows-vs-linux</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" />
    <id>https://velstech.net/how-internet-works</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" />
    <id>https://velstech.net/setup-domain</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" />
    <id>https://velstech.net/self-hosting-101</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" />
    <id>https://velstech.net/security-habits</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" />
    <id>https://velstech.net/password-managers</id>
    <published>2026-08-24T00:00:00Z</published>
    <updated>2026-09-04T00:00:00Z</updated>
    <category term="Security &amp; Privacy" />
    <summary>How a password manager works, what to look for, and why reusing passwords is the biggest risk most people have.</summary>
  </entry>
  <entry>
    <title>Spotting phishing attempts</title>
    <link rel="alternate" href="https://velstech.net/spotting-phishing" />
    <id>https://velstech.net/spotting-phishing</id>
    <published>2026-08-24T00:00:00Z</published>
    <updated>2026-09-04T00:00:00Z</updated>
    <category term="Security &amp; Privacy" />
    <summary>Real examples of fake emails and messages, and the red flags that give them away before you click.</summary>
  </entry>
  <entry>
    <title>How to start learning to code in 2026</title>
    <link rel="alternate" href="https://velstech.net/learn-to-code" />
    <id>https://velstech.net/learn-to-code</id>
    <published>2026-08-24T00:00:00Z</published>
    <updated>2026-09-04T00:00:00Z</updated>
    <category term="Programming &amp; Web" />
    <summary>A realistic roadmap – pick a language, build tiny projects, and avoid the tutorial trap.</summary>
  </entry>
  <entry>
    <title>HTML vs CSS vs JavaScript: beginner guide with examples</title>
    <link rel="alternate" href="https://velstech.net/html-css-js" />
    <id>https://velstech.net/html-css-js</id>
    <published>2026-08-24T00:00:00Z</published>
    <updated>2026-09-22T00:00:00Z</updated>
    <category term="Programming &amp; Web" />
    <summary>HTML vs CSS vs JavaScript – what each one does, how they differ, and how the three fit together on every website. A plain-language beginner guide with examples.</summary>
  </entry>
  <entry>
    <title>Version control with Git for complete beginners</title>
    <link rel="alternate" href="https://velstech.net/git-beginners" />
    <id>https://velstech.net/git-beginners</id>
    <published>2026-08-24T00:00:00Z</published>
    <updated>2026-08-24T00:00:00Z</updated>
    <category term="Programming &amp; Web" />
    <summary>Why every developer uses Git, and the handful of commands that cover 90% of daily work.</summary>
  </entry>
</feed>
