3 publications · 3 reports

Reflection debuts Beam, an open-weight AI model to rival Chinese models at lower compute cost

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3 publications
SiliconANGLE ↗
[1] SiliconANGLEPublisher coverage

Reflection AI debuts open-source Beam model with 501B parameters

Reflection AI Inc. today introduced Beam, an open-source large language model with 501 billion parameters. The launch comes a few months after the startup raised funding at a $25 billion valuation. Around the same time, Reflection AI reportedly inked a $6.3 billion deal with SpaceX Corp. to rent Nvidia GB300 NVL72 appliances. It used those…

Excerpt · SiliconANGLE
Read at SiliconANGLE
Wccftech ↗
[3] WccftechPublisher coverage

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 is insanely efficient.

Excerpt · Wccftech
Read at Wccftech