The chatbot still remains the most popular AI assistant worldwide with over 1.1 billion monthly users, followed by Gemini with 662 million and Claude with 245 million.
The good thing is that a deepseek can be run locally relatively well with consumer hardware. I trust chinese companies as much as i trust american companies with my data and my prompts.
I mainly use DeepSeek v4 Flash now, it’s the cheapest around and the quality is high enough for coding. At work we’re throwing tons of money at Claude, but even there I usually stick to Sonnet (as Opus is burning money).
You don’t need 170+ GB of VRAM. Whole model can be run at around 1 token/second on a modern hardware from an ssd. Which is slow, don’t get me wrong, but it still somewhat useable.
Upd.Once again, for those who use AI because struggles to read: it is slow, but it is usable. Which is, by definition, means that you don’t need 170+ GB of VRAM to run this model. Period. It runs from ssd. That is a fact.
The good thing is that a deepseek can be run locally relatively well with consumer hardware. I trust chinese companies as much as i trust american companies with my data and my prompts.
You have 170+ GB VRAM at home? (:
I mainly use DeepSeek v4 Flash now, it’s the cheapest around and the quality is high enough for coding. At work we’re throwing tons of money at Claude, but even there I usually stick to Sonnet (as Opus is burning money).
You don’t need 170+ GB of VRAM. Whole model can be run at around 1 token/second on a modern hardware from an ssd. Which is slow, don’t get me wrong, but it still somewhat useable.
Upd.Once again, for those who use AI because struggles to read: it is slow, but it is usable. Which is, by definition, means that you don’t need 170+ GB of VRAM to run this model. Period. It runs from ssd. That is a fact.
1 token/second isn’t remotely acceptsble lol
“Somewhat” is doing a lot of heavy lifting there 😂 How much time does it take to process your average request?