Скачать или смотреть Benchmarking LLMs on Ollama with Nvidia RTX 4060 GPU Server

🚀 Curious about how well large language models (LLMs) perform on an Nvidia RTX 4060 GPU server using Ollama? We put it to the test! In this video, we benchmark different models, analyze inference speed, VRAM usage, and overall efficiency.

📌 Timestamp:
DeepSeek-R1 with 7B Parameters: 0:25
DeepSeek-R1 with 8B Parameters: 0:50
LLaMA3.1 with 8B Parameters: 1:21
Mistral with 7B Parameters: 1:50
Gemma2 with 9B Parameters: 2:10
Qwen2.5 with 7B Parameters: 2:36

🔗 Full Test Data & Analysis: https://www.databasemart.com/blog/oll...

🔔 Like, subscribe, and turn on notifications for more GPU hosting insights!
#ai #llm #ollama #rtx4060 #gpuserver #machinelearning #deeplearning #nvidiagpus #gpubenchmark #deepseek #gemma #qwen

🔹If you are looking for a Linux VPS/Windows VPS/Dedicated Server/GPU Server, take a look at:
https://bit.ly/3bXdevZ
Thanks for watching. If you like our videos, don't forget to give us a like and follow us.
Leave your feedback down below in the comments.
Like and share this video with your friends who may be interested.
Subscribe to our channel for continuous how-to videos about managing applications or services on hosted servers.
   / @databasemart8440  
Let's connect!
Facebook:   / databasemart  
Linkedin:   / database-mart