NVIDIA's Hopper architecture
GPTKB entity
Statements (79)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:architecture
|
| gptkbp:built |
chiplet architecture
|
| gptkbp:competes_with |
gptkb:AMD's_MI200_series
|
| gptkbp:designed_by |
gptkb:NVIDIA
|
| gptkbp:developed_by |
gptkb:AI_technology
|
| gptkbp:enables |
real-time AI inference
|
| gptkbp:enhances |
scalability
|
| gptkbp:features |
gptkb:NVSwitch
gptkb:H100_Tensor_Core_GPU |
| https://www.w3.org/2000/01/rdf-schema#label |
NVIDIA's Hopper architecture
|
| gptkbp:improves |
gptkb:performance
|
| gptkbp:includes |
gptkb:NVLink
gptkb:Tensor_Cores |
| gptkbp:is_adopted_by |
research institutions
startups |
| gptkbp:is_based_on |
7nm process technology
|
| gptkbp:is_compatible_with |
gptkb:Kubernetes
gptkb:Tensor_RT gptkb:CUDA machine learning libraries |
| gptkbp:is_designed_for |
edge computing
high-throughput applications AI training |
| gptkbp:is_designed_to |
reduce latency
maximize efficiency accelerate workloads |
| gptkbp:is_enhanced_by |
software optimizations
AI frameworks |
| gptkbp:is_evaluated_by |
cost-effectiveness
performance comparisons previous architectures real-time scenarios |
| gptkbp:is_focused_on |
AI and ML applications
|
| gptkbp:is_integrated_with |
gptkb:NVIDIA_AI_Enterprise_software
gptkb:NVIDIA_DGX_systems AI development platforms |
| gptkbp:is_optimized_for |
gptkb:machine_learning
deep learning |
| gptkbp:is_part_of |
NVIDIA's data center portfolio
NVIDIA's AI ecosystem NVIDIA's innovation strategy NVIDIA's strategic vision NVIDIA's GPU architecture family |
| gptkbp:is_promoted_by |
industry leaders
NVIDIA marketing campaigns |
| gptkbp:is_promoted_through |
NVIDIA conferences
|
| gptkbp:is_supported_by |
gptkb:Documentation
gptkb:developers community contributions online resources NVIDIA's software stack |
| gptkbp:is_targeted_at |
government agencies
enterprise customers |
| gptkbp:is_tested_for |
gptkb:academic_research
real-world datasets benchmarking environments |
| gptkbp:is_used_for |
image processing
scientific simulations |
| gptkbp:is_used_in |
financial modeling
supercomputers healthcare applications |
| gptkbp:is_utilized_for |
data analytics
|
| gptkbp:is_utilized_in |
gptkb:Telecommunications
gptkb:cloud_computing gptkb:robotics gaming applications energy sector automotive AI |
| gptkbp:provides |
high bandwidth memory
|
| gptkbp:released_in |
gptkb:2022
|
| gptkbp:successor |
gptkb:NVIDIA_Ampere_architecture
|
| gptkbp:supports |
AI workloads
large language models multi-instance GPU technology FP8 precision |
| gptkbp:targets |
high-performance computing
|
| gptkbp:used_in |
data centers
|
| gptkbp:bfsParent |
gptkb:NVLink
|
| gptkbp:bfsLayer |
5
|