GPU and CPU Performance LLM Benchmark Comparison with Ollama

In today’s video, we explore a detailed GPU and CPU performance comparison for large language model (LLM) benchmarks using the Ollama library. We put the RTX 3090, Tesla P40, and Tesla P100 GPUs to the test, alongside CPUs like the Mac M1, Xeon E5-2699 V4, and Ryzen 9 5950X, running across five unique prompts on each hardware setup and various GPU combinations. This benchmarking suite takes a deep dive into key performance metrics, offering critical insights for those interested in LLM optimization on different hardware setups. Key Metrics Evaluated: - Load Duration (s): Time taken to load each model. - Prompt Evaluation Duration (s): Processing time per prompt. - Response Evaluation Duration (s): Time to generate responses. - Total Duration (s): Sum of Load, Prompt, and Response durations. - Tokens per Second (T/s): Speed measure based on tokens generated. - Price per Tokens per Second ($/T/s): Cost-efficiency, calculated by dividing each GPU's price by its tokens-per-second output. We wrap up with a cost-performance evaluation using two scoring benchmarks: - Average rating from Hugging Face’s Open LLM Leaderboard. - Scoring from Chatbot Arena’s LLM Leaderboard, assessing model performance across different scenarios. This comprehensive comparison offers valuable insights into the best hardware choices for speed, cost, and quality in LLM performance, making it ideal for researchers, developers, and businesses alike. Don’t miss out on the full breakdown—like, subscribe, and drop your questions or thoughts in the comments below! #LLMPerformance, #GPUBenchmark, #CPUBenchmark, #AIHardware, #MachineLearning, #Ollama, #RTX3090, #TeslaP40, #TeslaP100, #MacM1, #Ryzen95950X, #XeonE52699, #AIResearch, #TechComparison, #ModelBenchmarking, #MachineLearningHardware, #AITech, #LLMOptimization, #AIInsights 🎥 Other Related Videos: AI/ML/DL GPU Buying Guide 2024: Get the Most AI Power for Your Budget https://youtu.be/YiX9p8A7LqE GPU Benchmarking Made Easy: BenchDaddi's Latest