Cerebras WSE-2

GPTKB entity

Statements (56)
Predicate Object
gptkbp:instance_of gptkb:computer
gptkbp:architecture Wafer-scale
gptkbp:competes_with gptkb:NVIDIA_GPUs
gptkbp:contains 2.6 trillion transistors
gptkbp:cooling_system liquid cooling
gptkbp:designed_by gptkb:Cerebras_Systems
gptkbp:designed_for large-scale AI models
gptkbp:developed_by AI inference
gptkbp:features high bandwidth memory
gptkbp:form_factor wafer-scale engine
gptkbp:has over 1 million cores
gptkbp:has_impact_on gptkb:AI_technology
https://www.w3.org/2000/01/rdf-schema#label Cerebras WSE-2
gptkbp:is_adopted_by large enterprises
gptkbp:is_available_in gptkb:cloud_services
gptkbp:is_compatible_with gptkb:Tensor_Flow
gptkb:Py_Torch
gptkbp:is_considered government projects
gptkbp:is_considered_as breakthrough technology
gptkbp:is_discussed_in AI conferences
gptkbp:is_evaluated_by benchmark tests
tech analysts
gptkbp:is_featured_in gptkb:technology_publications
gptkbp:is_integrated_with AI frameworks
gptkbp:is_known_for high performance computing
gptkbp:is_optimized_for AI training
gptkbp:is_part_of gptkb:Cerebras_product_line
AI supercomputing systems
gptkbp:is_promoted_by Cerebras marketing
gptkbp:is_recognized_by industry awards
gptkbp:is_supported_by gptkb:developers
Cerebras software stack
gptkbp:is_tested_for leading AI researchers
gptkbp:is_used_by research institutions
gptkbp:is_used_in gptkb:vehicles
gptkb:robotics
gptkb:scientific_research
financial modeling
healthcare applications
gptkbp:is_utilized_in computer vision
natural language processing
reinforcement learning
gptkbp:manufacturer gptkb:Cerebras_Systems
gptkbp:performance up to 220 petaflops
gptkbp:power_consumption 20 k W
gptkbp:provides high throughput
gptkbp:ram 40 GB on-chip memory
gptkbp:released_in gptkb:2021
gptkb:2022
gptkbp:successor gptkb:Cerebras_WSE-1
gptkbp:supports deep learning
gptkbp:target_market data centers
gptkbp:uses AI workloads
gptkbp:uses_technology 3 D chip stacking
gptkbp:bfsParent gptkb:Cerebras_Wafer_Scale_Engine
gptkbp:bfsLayer 7