Part 1 ~ Intel vs AMD vs Apple vs Qualcomm vs NVIDIA Spark – Explained Every VRAM size for local AI, from an old 6 GB GTX 1060 to a 128 GB box on your desk: which AI models each level of graphics card memory can run at home, what they can actually do, and what the extra gigabytes buy you. 4–6 GB: a small Gemma 4 compressed to 4-bit, reading photos and rewriting emails, fully offline 8 GB: Gemma 4 12B, and why a high quiz score doesn't mean it's good at real work 12 GB: MoE models that spill over into system RAM, plus voice models like Qwen3-TTS and Whisper 16 GB: drawing images with FLUX.2 klein and Z-Image Turbo, and the model that misses by half a gigabyte 24 GB: Qwen3.8-27B with thinking mode, the best-value level for AI at home 32 GB: the RTX 5090, AI agents, and what a home AI really costs next to a subscription 64 GB: NVIDIA's four-GPU A16, two Radeon AI PRO R9700s, and FLUX 3 Image Klein 96 GB: the RTX PRO 6000 Blackwell, and why it writes slower than a 5090 with a small model 128 GB: the DGX Spark and DeepSeek V4.1 Flash Prices, scores and model sizes are as of November 2026. 00:00 Intro 00:10 4–6 GB: GTX 1060 01:56 8 GB: RTX 5060 03:47 12 GB: RTX 3060 05:48 16 GB: RTX 5060 Ti 07:39 24 GB: RX 7900 XTX and RTX 4090 09:46 32 GB: RTX 5090 and Radeon AI PRO R9700 12:11 64 GB: NVIDIA A16 13:30 96 GB: RTX PRO 6000 Blackwell 14:43 128 GB: DGX Spark The Silicon Pixel explains the tech you use every day, from PCs and phones to consoles and the internet, one generation at a time, in pixel art. #LocalAI #VRAM #GPU - @thom.code