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I built a server with 768GB VRAM for frontier, but all new frontier open source models are likely to be two…

By PulseAugur Editorial · [1 sources] ·

A user invested €18,000 in a server with 768GB of VRAM and twelve 64GB GPUs, anticipating the use of large, frontier open-source AI models. However, they are finding that even current advanced models like DeepSeek V4 Pro are too large for their setup, and future models such as GLM 6 are expected to be significantly larger. This has led the user to question whether to abandon their AI

RANK_REASON [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

I built a server with 768GB VRAM for frontier, but all new frontier open source models are likely to be two…

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COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/myreala ·

    I built a server with 768GB VRAM for frontier, but all new frontier open source models are likely to be two trillion or above now, including next GLM 6, am I cooked?

    <!-- SC_OFF --><div class="md"><p>This epyc server cost me €18k to build and I am using twelve cards with 64 GB memory, plus 256GB ram. Looking at the most capable models in open source, GLM 5.3 seems to be the only option, but with Astra releasing it will likely be fairly behind…