Nervana Neural Network Processor
GPTKB entity
Statements (81)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:neural_networks
|
| gptkbp:aims_to |
Accelerate AI workloads
|
| gptkbp:architecture |
Custom architecture
|
| gptkbp:competes_with |
gptkb:NVIDIA_GPUs
|
| gptkbp:designed_for |
gptkb:Deep_Learning
|
| gptkbp:developed_by |
gptkb:Intel
Enterprise applications |
| gptkbp:enables |
Real-time inference
|
| gptkbp:exhibited_at |
Tech conferences
|
| gptkbp:features |
Parallel processing capabilities
|
| gptkbp:has |
Multiple cores
|
| https://www.w3.org/2000/01/rdf-schema#label |
Nervana Neural Network Processor
|
| gptkbp:integrates_with |
Machine learning frameworks
|
| gptkbp:is_adopted_by |
Startups
Tech companies |
| gptkbp:is_analyzed_in |
Industry analysts
|
| gptkbp:is_available_in |
Various configurations
|
| gptkbp:is_compatible_with |
AI frameworks
Various software tools |
| gptkbp:is_considered |
Predictive analytics
Machine learning tasks |
| gptkbp:is_considered_as |
A solution for AI training
|
| gptkbp:is_designed_for |
High-performance computing
|
| gptkbp:is_designed_to |
Reduce latency
|
| gptkbp:is_documented_in |
Technical papers
Intel documentation |
| gptkbp:is_evaluated_by |
Performance metrics
Cost-effectiveness Performance benchmarks Benchmark tests Competitor products Tech reviewers Pilot projects |
| gptkbp:is_integrated_with |
Cloud platforms
Big data technologies Data science tools Data analytics platforms |
| gptkbp:is_known_for |
Energy efficiency
|
| gptkbp:is_optimized_for |
Cloud computing environments
|
| gptkbp:is_part_of |
gptkb:Nervana_Systems
gptkb:ecosystem AI hardware solutions Intel's AI strategy |
| gptkbp:is_promoted_by |
Tech influencers
AI development Intel marketing |
| gptkbp:is_promoted_through |
Webinars
|
| gptkbp:is_supported_by |
gptkb:developers
Open-source projects Community forums Intel's software ecosystem Intel's research initiatives |
| gptkbp:is_targeted_at |
Large enterprises
Data scientists |
| gptkbp:is_tested_for |
gptkb:AI_technology
Scalability Industry standards Real-time applications Real-world scenarios |
| gptkbp:is_used_for |
Image recognition
|
| gptkbp:is_used_in |
gptkb:AI_technology
Autonomous vehicles Healthcare applications |
| gptkbp:is_utilized_by |
Research institutions
|
| gptkbp:is_utilized_for |
Natural language processing
Speech recognition |
| gptkbp:is_utilized_in |
gptkb:financial_services
Retail analytics |
| gptkbp:marketed_as |
gptkb:developers
AI accelerator AI hardware accelerator |
| gptkbp:performance |
High throughput
|
| gptkbp:provides |
Scalability for data centers
|
| gptkbp:released_in |
gptkb:2016
|
| gptkbp:supports |
Batch processing
FP16 precision Tensor operations |
| gptkbp:uses |
Neural network algorithms
|
| gptkbp:utilizes |
High bandwidth memory
|
| gptkbp:bfsParent |
gptkb:Nervana_Engine
|
| gptkbp:bfsLayer |
6
|