Knowledge Base
Explore latest tutorials, guides, and articles about AI.
Local LLMs on Consumer Hardware: Tiered Memory and Streaming Engines
How a new generation of execution engines spreads models across VRAM, RAM and NVMe so that large LLMs can run on consumer computers.
Read ArticleUnderstanding Perplexity in AI Models and How Quantization Changes It
What perplexity means in an AI model and how it changes across different quantization levels.
Read ArticleBest Consumer Local AI Build of September 2026: Dual RTX 3090 or 4090 Running Qwen 3.8 27B at 3.5 bpw
A practical guide to running Qwen 3.8 27B GSQ-RCO GGUF at 3.5 bpw on two RTX 3090 or 4090 cards, with a Q8 KV cache and a full 256k context.
Read ArticleUnderstanding IQ (Importance Matrix Quants) and NVFP4
Learn about IQ and NVFP4 quantization, their performance, hardware requirements, and how they differ on NVIDIA GPUs.
Read ArticleBest Performance-to-Price AI Models in September 2026
A comparison of Meta Spark 1.3, Gemini 3.8 Flash, DeepSeek V4.1 Flash and ChatGPT Terra: benchmarks, token speed and price per million tokens.
Read ArticleAI Coding Harnesses in September 2026: The Best Value-for-Money Tools
A practical overview of AI coding harnesses in 2026: Google Antigravity IDE, Cline, Aider, OpenCode and OpenHands as cheaper alternatives to OpenAI Codex and Anthropic Claude Code.
Read ArticleGemma 4 E2B vs E4B for Mobile: Quantization, RAM, Tokens, and Intelligence
A practical comparison of Google's Gemma 4 E2B and E4B models for on-device deployment, covering quantized memory usage, context window, KV cache tradeoffs, device fit, and intelligence between text-only and multimodal workloads.
Read ArticleLPDDR6 vs LPDDR5/LPDDR5X: A New Memory Era for On-Device AI
Compare speed, architecture, market timing, and the impact of LPDDR6 on memory prices and unified-memory AI hardware.
Read ArticleDLSS 5 Leak: What Nvidia’s Neural Rendering Means for Older GPUs
A leaked DLSS 5 build designed for RTX 5000 cards has been modified to run on RTX 3000 and 4000 GPUs, with significant performance penalties and promising neural rendering results.
Read ArticleNeural OCR on Mobile Devices: CRAFT, CRNN, EasyOCR and ExecuTorch
How CRAFT and CRNN combine to perform neural OCR, which image size limits to expect on smartphones, and how EasyOCR-style models can be ported to on-device inference with ExecuTorch.
Read ArticleQwen 3.8 27B: 4-bit Quantization, vLLM Tensor Parallelism, and VRAM/Context Analysis
A technical guide to loading Qwen 3.8 27B with vLLM tensor parallelism, calculating VRAM usage for weights and KV cache, and estimating max context on 2x RTX 3090 and 2x RTX 5090.
Read ArticleQwen 3.8 27B: The New Open-Weight Powerhouse for Local AI
Explore the technical architecture, company background, benchmark improvements, and local deployment potential of Alibaba's Qwen 3.8 27B model.
Read ArticleDeepSeek V4 Flash 0731 vs Pro 0813: Post-Training Update Comparison
A detailed comparison of DeepSeek's V4 Flash 0731 and Pro 0813 models, focusing on benchmarks, costs, coding efficiency, and model size.
Read ArticleGemini 3.7 Flash: Efficiency Meets Intelligence in Production AI
Google's new Gemini 3.7 Flash model offers cutting-edge coding and agentic performance at a discounted price, challenging GPT-5.6 Terra and DeepSeek V4-Pro.
Read ArticleUnderstanding AI Vision: From Image Classification to Instance Segmentation
Explore the differences between image classification, object detection, semantic segmentation, and instance segmentation, and their real-world applications.
Read ArticleFrom Text to Speech: How AI Models Convert Graphemes to Audio
Explore the pipeline of text-to-speech synthesis, from grapheme-to-phoneme conversion to mel-spectrograms and vocoders, and see how Kokoro exemplifies efficient AI-driven speech generation.
Read ArticleQwen 3.8 Max and 27B: Open-Weight AI Models Compared
Comparison of Qwen 3.8 Max and 27B with Kimi K3, focusing on parameters, costs, and local deployment.
Read ArticleWhisper Model for Edge AI on Mobile
Learn how OpenAI's Whisper ASR model runs on mobile devices, comparing model sizes, language variants, and deployment techniques like ExecuTorch and CoreML.
Read ArticleOffline LLMs on Mobile: Qwen 3.5, Qwen 2.5, and Llama SpinQuant Compared
A practical guide to running small quantized LLMs on mobile devices, comparing model families, RAM usage, and quantization techniques.
Read ArticleDeepSeek V4 Flash 0731: The Most Cost-Efficient AI Model
Discover the advanced agentic performance and aggressive pricing of DeepSeek V4 Flash 0731, released July 31, 2026.
Read ArticleCNN vs. Transformer: Global Context and NVIDIA DLSS
Explanation of the differences between CNNs and Transformers, why Transformers offer better global context, and how NVIDIA leverages this in DLSS.
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