Cerebras Wafer Scale Engine 1

GPTKB entity

Statements (56)
Predicate Object
gptkbp:instance_of gptkb:tachymetric_scale
gptkbp:application AI and machine learning
gptkbp:architecture CS-1
gptkbp:chip_type gptkb:Astra_Zeneca
gptkbp:connects high-speed interconnect
gptkbp:cooling_system liquid cooling
gptkbp:data_usage up to 100 TB/day
gptkbp:design_purpose maximize performance
reduce power consumption
minimize latency
gptkbp:development Cerebras engineering team
gptkbp:die_size 4625 square millimeters
gptkbp:form_factor single chip
wafer scale
gptkbp:fuel_economy 60 TOPS/ Watt
gptkbp:has_units 400,000
https://www.w3.org/2000/01/rdf-schema#label Cerebras Wafer Scale Engine 1
gptkbp:innovation energy-efficient design
real-time inference
high bandwidth memory
high-performance AI training
on-chip memory
custom compute architecture
high-density chip design
large-scale model training
low-latency interconnects
massive parallel processing
wafer-scale integration
gptkbp:integration integrated memory
gptkbp:is_scalable high scalability
gptkbp:manufacturer gptkb:Cerebras_Systems
gptkbp:market_launch gptkb:2020
gptkbp:market_segment high-performance computing
gptkbp:notable_feature largest chip ever made
gptkbp:part_of Cerebras Systems product line
gptkbp:performance up to 1.2 petaflops
1.2 PFLOPS
gptkbp:power_consumption 20 k W
gptkbp:processor custom architecture
gptkbp:provides_support_for gptkb:Tensor_Flow
gptkb:Py_Torch
gptkbp:ram 40 GB
10 TB/s
gptkbp:release_year gptkb:2020
gptkbp:service gptkb:true
gptkbp:successor gptkb:Cerebras_Wafer_Scale_Engine_2
gptkbp:target_market data centers
gptkbp:technology AI accelerator
gptkbp:transistor_count 1.2 trillion
gptkbp:use_case computer vision
deep learning
natural language processing
reinforcement learning
gptkbp:year gptkb:2019
gptkbp:bfsParent gptkb:Cerebras_Wafer_Scale_Engine_2
gptkbp:bfsLayer 6