Statements (58)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Web
|
| gptkbp:aims_to_improve |
AI research efficiency
|
| gptkbp:built |
gptkb:Cerebras_architecture
|
| gptkbp:designed_for |
AI workloads
|
| gptkbp:developed_by |
gptkb:Cerebras_Systems
user feedback |
| gptkbp:enables |
faster model training
faster inference times |
| gptkbp:facilitates |
collaborative research
|
| gptkbp:features |
distributed training capabilities
|
| https://www.w3.org/2000/01/rdf-schema#label |
Cerebras Software Platform
|
| gptkbp:includes |
debugging tools
performance optimization tools |
| gptkbp:is_available_in |
various configurations
|
| gptkbp:is_available_on |
gptkb:Cerebras_CS-1_system
gptkb:Cerebras_CS-2_system |
| gptkbp:is_compatible_with |
gptkb:Tensor_Flow
gptkb:Keras gptkb:MXNet gptkb:Py_Torch |
| gptkbp:is_designed_for |
research and development
|
| gptkbp:is_enhanced_by |
machine learning techniques
|
| gptkbp:is_focused_on |
AI model optimization
|
| gptkbp:is_integrated_with |
gptkb:cloud_services
data analytics tools |
| gptkbp:is_optimized_for |
high throughput
large-scale neural networks |
| gptkbp:is_part_of |
AI infrastructure
AI development lifecycle Cerebras Systems ecosystem |
| gptkbp:is_promoted_by |
Cerebras marketing team
|
| gptkbp:is_scalable |
thousands of cores
|
| gptkbp:is_supported_by |
gptkb:Documentation
Cerebras community |
| gptkbp:is_tested_for |
real-world datasets
|
| gptkbp:is_used_by |
research institutions
enterprise companies |
| gptkbp:is_used_for |
gptkb:scientific_research
commercial applications |
| gptkbp:is_used_in |
computer vision
natural language processing reinforcement learning |
| gptkbp:is_used_to |
accelerate research projects
|
| gptkbp:offers |
customizable solutions
real-time data processing scalability for large models |
| gptkbp:provides |
gptkb:Data
high-performance computing monitoring tools user-friendly interface |
| gptkbp:provides_access_to |
massive compute resources
|
| gptkbp:supports |
multi-GPU configurations
deep learning frameworks model deployment mixed precision training |
| gptkbp:utilizes |
gptkb:Cerebras_Wafer_Scale_Engine
|
| gptkbp:bfsParent |
gptkb:Cerebras_Software
|
| gptkbp:bfsLayer |
6
|