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gpu-architecture

Apr 24, 20261 min read

  • concept
  • gpu-architecture
  • nvidia-gpu
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  • large-language-models
  • model-quantization
  • local-inference

Gpu Architecture

Source Notes

  • 2026-04-23: Google: For running well-instructed small Large Language Models (LLMs) on a 48GB VRAM NVIDIA GPU, Llama 3.1 70B (quantized) is a strong contender. Other viable options include quantized versions of Gemma 2 27B, Qwen 2 72B, and Mistral Large. These models, when properly quantized (🧠 Recommended Local LLMs for Accurate JSON Output)

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  • Gpu Architecture
  • Source Notes

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  • INDEX
  • Best small LLM for local inference for instruction following
  • Tools & Platforms
  • Nvidia CUDA GPU Parallel Computing for AI Advancement

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