NVIDIA-Backed Reflection Used 10,500x GB300 GPUs And 46.4 Million Sandboxes Per Day For 4 Weeks To Train Beam, A 501B Open-Weight Model That Is Insanely Efficient

Western AI labs are finally trying to compete with China's DeepSeek and Zhipu (Z.ai) when it comes to efficient open-weight models. As a case in point, look no further than Reflection's Beam, a 501-billion-parameter, sparse Mixture of Experts (MoE) model that…

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