LocalLLaMA

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Community to discuss about Llama, the family of large language models created by Meta AI.

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Comparing 4060 Ti 16GB + DDR5 6000 vs 3090 24GB: looking for 34B model benchmarks (alien.top)

submitted 1 year ago by regunakyle@alien.top to c/localllama@poweruser.forum

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I am going to build a LLM server very soon, targeting 34B models (specifically phind-codellama-34b-v2.Q4 GGUF GPTQ AWQ).

I am stuck between these two setups:

12400 + DDR5 6000MHz 30CL + 4060 Ti 16GB (GGUF; Split the workload between CPU and GPU)
3090 (GPTQ/AWQ model fully loaded in GPU)

Not sure if the speed bump of 3090 is worth the hefty price increase. Does anyone have benchmarks/data comparing these two setups?

BTW: Alder Lake CPUs run DDR5 in gear 2 (while AM4 run DDR5 in gear 1). AFAIK gear 1 offers lower latency. Would this give AM4 big advantage when it comes to LLM?

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[–] candre23@alien.top 1 points 1 year ago

The 3090 will outperform the 4060 several times over. It's not even a competition - it's a slaughter.

As soon as you have to offload even a single layer to system memory (regardless of the speed), you cut your performance by an order of magnitude. I don't care if you have screaming fast DDR5 in 8 channels and a pair of the beefiest xeons money can buy, your performance will fall off a cliff the minute you start offloading. If a 3090 is within your budget, that is the unambiguous answer.