Gemini 2.5 Pro is the Long awaited assistant!
@jeffdean
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Consumer GPU limitations for running large AI models
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I'm not trolling. The original statement by @jeremyphoward was that it couldn't run on "consumer GPUs" (plural), and I genuinely didn't understand why. If the original statement was "it's too large to run efficiently on a single consumer GPU", then that would make more sense.
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Gemma 3 Open Source Models Run Single GPU TPU
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Fwiw, this exact reason is why we made the Gemma 3 open source models something that developers could easily run on a single GPU or TPU.
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Running Large Models on Consumer GPUs: Parallelism and Quantization
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I don't really use GPUs, as most of our work uses TPUs. I was just confused by @jeremyphoward 's statement that it wouldn't run on consumer GPUs, when the normal techniques of model parallelism, quantization, right compression, etc. seem like they should work just fine to run it
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Model Efficiency on Consumer-Grade GPU Hardware
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Why? It seems as though the model can run on 4 consumer-grade GPUs, no?
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Running AI Models on Consumer GPUs: Feasibility Analysis
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You can probably run the model on 4 (or maybe 8?) consumer GPUs, no?
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Gemini Team Achieves Recognition for AI Advancement
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Thanks! Kudos should go to the whole Gemini team!