Statements (67)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:microprocessor
|
| gptkbp:architectural_style |
custom architecture
|
| gptkbp:competes_with |
gptkb:NVIDIA_DGX_systems
|
| gptkbp:cooling_system |
liquid cooling
|
| gptkbp:designed_by |
gptkb:Cerebras_Systems
|
| gptkbp:developed_by |
cutting-edge technology
advanced semiconductor technology large-scale AI models |
| gptkbp:enables |
faster model training
|
| gptkbp:features |
over 1.2 trillion transistors
|
| gptkbp:has |
large memory capacity
|
| https://www.w3.org/2000/01/rdf-schema#label |
Cerebras CS-1 system
|
| gptkbp:is_adopted_by |
leading universities
|
| gptkbp:is_available_in |
data centers
|
| gptkbp:is_based_on |
wafer-scale technology
|
| gptkbp:is_compatible_with |
popular AI frameworks
|
| gptkbp:is_considered |
large datasets
future AI applications |
| gptkbp:is_considered_as |
a breakthrough in AI hardware
|
| gptkbp:is_considered_to_be |
a game changer in AI technology
a pioneer in AI hardware development cost-effective for AI training |
| gptkbp:is_designed_for |
high efficiency
|
| gptkbp:is_evaluated_by |
AI competitions
energy efficiency industry experts benchmark tests traditional GPU systems |
| gptkbp:is_integrated_with |
gptkb:cloud_services
AI research workflows |
| gptkbp:is_known_for |
high performance computing
|
| gptkbp:is_optimized_for |
gptkb:neural_networks
|
| gptkbp:is_part_of |
gptkb:Cerebras_product_line
gptkb:ecosystem AI hardware landscape AI hardware revolution |
| gptkbp:is_promoted_by |
AI research and development
Cerebras marketing team high-performance AI tasks |
| gptkbp:is_recognized_as |
a leader in AI hardware
|
| gptkbp:is_recognized_by |
AI research community
tech analysts |
| gptkbp:is_recognized_for |
its unique architecture
innovation in computing |
| gptkbp:is_supported_by |
gptkb:Documentation
user community Cerebras software tools Cerebras community |
| gptkbp:is_targeted_at |
AI workloads
|
| gptkbp:is_tested_for |
performance benchmarks
leading tech companies other supercomputers |
| gptkbp:is_used_by |
research institutions
|
| gptkbp:is_used_in |
various industries
|
| gptkbp:is_utilized_by |
startups and enterprises
government research labs |
| gptkbp:is_utilized_for |
machine learning applications
real-time data processing |
| gptkbp:is_utilized_in |
gptkb:scientific_research
|
| gptkbp:marketed_as |
AI supercomputer
|
| gptkbp:performance |
high throughput
|
| gptkbp:provides |
massive parallel processing
|
| gptkbp:released_in |
gptkb:2020
|
| gptkbp:supports |
deep learning
|
| gptkbp:uses |
gptkb:tachymetric_scale
|
| gptkbp:bfsParent |
gptkb:Cerebras_Software_Platform
|
| gptkbp:bfsLayer |
7
|