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gptkbp:instanceOf
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artificial intelligence hardware system
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gptkbp:announced
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2021
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gptkbp:countryOfOrigin
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gptkb:United_States
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gptkbp:designedFor
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large language models
deep learning workloads
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|
https://www.w3.org/2000/01/rdf-schema#label
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CS-2 systems
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gptkbp:main_processor
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Wafer Scale Engine 2 (WSE-2)
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gptkbp:manufacturer
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gptkb:Cerebras_Systems
|
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gptkbp:memoryBusWidth
|
20 PB/s
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gptkbp:networkInterface
|
100 GbE
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gptkbp:notableClient
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gptkb:Argonne_National_Laboratory
gptkb:Lawrence_Livermore_National_Laboratory
gptkb:Pittsburgh_Supercomputing_Center
GlaxoSmithKline
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gptkbp:notableFeature
|
massive parallelism
high bandwidth memory
largest chip ever built
single wafer-scale processor
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|
gptkbp:peak_performance
|
up to 1.2 PFLOPS (FP16)
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gptkbp:powerSource
|
20 kW
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gptkbp:predecessor
|
CS-1 system
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gptkbp:primaryUse
|
artificial intelligence training
artificial intelligence inference
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|
gptkbp:rack_size
|
15U
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gptkbp:supports
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gptkb:TensorFlow
gptkb:PyTorch
gptkb:ONNX
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gptkbp:WSE-2_core_count
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850,000
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gptkbp:WSE-2_memory
|
40 GB SRAM
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|
gptkbp:WSE-2_process_technology
|
7nm
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gptkbp:WSE-2_transistor_count
|
2.6 trillion
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gptkbp:bfsParent
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gptkb:C1_supercomputer
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gptkbp:bfsLayer
|
8
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