MemoryX

product on 1 show · 3 statements across 1 episodes · said 28 times in 1 episodes since 2024

Latent Space 28

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2024 28 mentions in 1 episode

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3 statements about MemoryX, every show

LATENT SPACE Assertion Supported
Cerebras weight streaming prunes up to 90% of data without accuracy loss
“And so memory, and so as MemoryX streams weights through SwarmX, it eliminates zero and near zero values, and so this reduces bandwidth requirements significantly, pruning up to 90% of the data while maintaining accuracy.”
Sarah Chieng Dec 7, 2024 ▶ 36:28 [Paper Club] Weight Streaming on Wafer-Scale Clusters (w/ Sarah Chieng of Cerebras)
LATENT SPACE Assertion Supported
Cerebras MemoryX scales to 2.4 petabytes to support 120-trillion-parameter AI models
“And you know, it scales from four terabytes to 2.4 petabytes, Supports models with up to 120 trillion parameters and then it utilizes DRAM and flash storage.”
Sarah Chieng Dec 7, 2024 ▶ 26:22 [Paper Club] Weight Streaming on Wafer-Scale Clusters (w/ Sarah Chieng of Cerebras)
LATENT SPACE Assertion Supported
Cerebras streams weights from MemoryX and computes updates externally
“And instead of storing all the weights that the compute units need on [737] Sarah Chieng: On the compute unit, it's storing it externally in an external memory service. In this case, it's called memory X. And during training, these weights are streamed from me…”
Sarah Chieng Dec 7, 2024 ▶ 12:11 [Paper Club] Weight Streaming on Wafer-Scale Clusters (w/ Sarah Chieng of Cerebras)

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