LLM System and Hardware Requirements - Running Large Language Models Locally #systemrequirements

This is a great 100% free Tool I developed after uploading this video, it will allow you to choose an LLM and see which GPUs could run it... : https://aifusion.synergize.co/llm-vs-gpu Min Hardware requirements (up to 16b q4 models) (eg. Llama3.1 - 8b) RTX 3060 12GB VRAM : https://amzn.to/3M0HvsL Intel i5 or AMD Ryzen 5 Intel i5 : https://amzn.to/3WGZtp3 Ryzen 5 : https://amzn.to/46IigoC 36GB RAM 1TB SSD : https://amzn.to/4cBebEd Recommended Hardware requirements (up to 70b q8 models) (eg. Llama3.1 - 70b) RTX 4090 24GB VRAM : https://amzn.to/3AjIHow Intel i9 or AMD Ryzen 9 Intel i9 : https://amzn.to/3YCeLxW AMD Ryzen 9 : https://amzn.to/3YIaUiT 48GB RAM 2TB SSD : https://amzn.to/3YFQ83A Professional Hardware requirements (up to 405b and more) (eg. Llama3.1 - 405b) Stack of A100 GPUs or A6000 GPUs https://amzn.to/3yojZ5T Enterprise grade CPUs https://amzn.to/3YDgByw https://amzn.to/4dEbfY2 Welcome to our ultimate guide on running Large Language Models (LLMs) locally! In this video, we delve into the essential system and hardware requirements for setting up your own LLM workstation. Whether you’re just starting out or looking to upgrade, we’ve got you covered. We’ll explore the importance of GPUs and how VRAM affects your ability to run large models. Learn how different GPUs, from the entry-level RTX 3060 to the high-end RTX 4090, stack up in terms of handling LLMs. Discover how quantization techniques, including FP32, FP16, INT8, and INT4, can optimize performance and memory usage. We’ll also cover other critical components, such as CPUs, RAM, and storage, and explain their roles in managing LLMs. Get real-world examples of various setups, from budget-friendly options to high-performance configurations for advanced applications. By the end of this video, you’ll have a clear understanding of how to build an LLM workstation that fits your needs and budget. Start experimenting with powerful AI models locally and take your projects to the next level! Patreon :   / aifusion   Disclaimer: Some of the links in this video/description are affiliate links, which means if you click on one of the product links, I may receive a small commission at no additional cost to you. This helps support the channel and allows me to continue making content like this. Thank you for your support! #LargeLanguageModels #LLMs #RunningLLMsLocally #AIHardware #GPURequirements #VRAM #QuantizationTechniques #FP32 #FP16 #INT8 #INT4 #RTX3060 #RTX4060 #RTX3090 #RTX4090 #NVIDIAA100 #AIWorkstation #ModelOptimization #AIModels #Llama3.1 #AISetup #ComputingHardware #HighPerformanceComputing #DataProcessing #MachineLearning #AIResearch #TechGuide #SystemRequirements #RAMforLLMs #StorageforLLMs #NVMeSSD #HDDStorage #AIPerformance #QuantizedModels #AIHardwareSetup #AIPerformanceOptimization #opensource #llama3 #llama #qwen2 #gemma2 #largelanguagemodels #mistralai #mistral #localllm #llm #local #llama3.1 #llama3.1-8b #llama3.1-70b #llama3.1-405b #405b