gptkbp:instance_of
|
gptkb:financial_technology
gptkb:microprocessor
gptkb:Company
gptkb:Graphics_Processing_Unit
gptkb:NVIDIA
|
gptkbp:academic_programs
|
Jay Puri
|
gptkbp:acquired
|
gptkb:Mellanox_Technologies
gptkb:Arm_Holdings
Arm Holdings (pending approval)
3dfx Interactive
|
gptkbp:acquisition
|
gptkb:Deep_Learning_AI
gptkb:Deep_Map
gptkb:Mellanox_Technologies
gptkb:NVIDIA_Phys_X
gptkb:Clara_(2020)
gptkb:NVIDIA_Ge_Force_Experience
gptkb:NVIDIA_Clara_AI
gptkb:NVIDIA_Studio_Drivers
gptkb:Arm_Holdings
gptkb:NVIDIA_Studio
gptkb:Omnitrix
gptkb:NVIDIA_Game_Works
gptkb:NVIDIA_Reflex
gptkb:NVIDIA_AI_Enterprise
gptkb:NVIDIA_Broadcast
gptkb:NVIDIA_Clara
gptkb:NVIDIA_Ge_Force_NOW
gptkb:NVIDIA_Isaac
gptkb:NVIDIA_Jetson
gptkb:NVIDIA_Omniverse
gptkb:NVIDIA_Research
gptkb:NVIDIA_Game_Stream
gptkb:NVIDIA_Drive
gptkb:NVIDIA_G-SYNC
gptkb:NVIDIA_RTX_IO
gptkb:Parabricks
gptkb:Swift_Stack
Arm Holdings (proposed)
Arm Holdings (pending)
GTC (GPU Technology Conference)
Arm Holdings (pending approval)
Deep Learning AI (2018)
Deep Map (2021)
Mellanox Technologies (2019)
Omniverse (2020)
Parabricks (2020)
Swift Stack (2020)
3dfx Interactive
|
gptkbp:acquisition_year
|
gptkb:2019
gptkb:2020
gptkb:2021
gptkb:2022
gptkb:2023
|
gptkbp:advances
|
AI-driven diagnostics
predictive analytics in healthcare
AI applications for chronic diseases
|
gptkbp:advances_airesearch_in
|
healthcare applications
|
gptkbp:advertising
|
gptkb:Kirk_Skaugen
gptkb:Geoffrey_L._Yang
|
gptkbp:advocates_for
|
AI regulations in healthcare
|
gptkbp:ai
|
gptkb:NVIDIA_Deep_Learning
gptkb:NVIDIA_Jarvis
gptkb:NVIDIA_Tensor_RT
gptkb:Jensen_Huang
gptkb:NVIDIA_Clara
|
gptkbp:application
|
personalized medicine
|
gptkbp:architectural_style
|
gptkb:Vulkan
gptkb:Direct_X
gptkb:CUDA
gptkb:Open_CL
|
gptkbp:architecture
|
gptkb:NVIDIA_Volta
gptkb:Turing
NVIDIA GPU architecture
|
gptkbp:average_temperature
|
10 to 35 ° C
|
gptkbp:awards
|
Tech Innovation Awards
Best of CES
Best Graphics Card Awards
|
gptkbp:brand
|
gptkb:Tegra
gptkb:Tesla
gptkb:Ge_Force
Quadro
|
gptkbp:can_be_used_for
|
gptkb:simulation
Software development
Video production
Photo editing
image editing
video editing
Streaming games
3 D rendering
|
gptkbp:can_be_used_with
|
gptkb:mac_OS
Multiple monitors
VR headsets
Windows computers
|
gptkbp:ceo
|
gptkb:Jensen_Huang
|
gptkbp:climate
|
10 to 90% non-condensing
|
gptkbp:collaborates_with
|
gptkb:game_developers
gptkb:Samsung
gptkb:Micron
research institutions
AI research projects
|
gptkbp:collaboration
|
healthcare research
healthcare and tech sectors
|
gptkbp:community
|
gptkb:NVIDIA_GTC_Conference
gptkb:NVIDIA_Inception_Program
gptkb:NVIDIA_Research
gptkb:NVIDIA_Foundation
Diversity and inclusion programs
STEM education initiatives
NVIDIA Developer Program
NVIDIA AI Summit
|
gptkbp:community_involvement
|
gptkb:NVIDIA_Jetson_Community
gptkb:NVIDIA_Inception_Program
gptkb:NVIDIA_Omniverse
gptkb:NVIDIA_Foundation
NVIDIA Developer Program
|
gptkbp:compatibility
|
gptkb:Tensor_Flow
gptkb:NVIDIA_CUDA
gptkb:NVIDIA_Deep_Stream
gptkb:NVIDIA_Tensor_RT
gptkb:Keras
gptkb:Caffe
gptkb:Chainer
gptkb:MXNet
gptkb:NVIDIA_RAPIDS
gptkb:gymnasium
gptkb:Py_Torch
gptkb:Theano
|
gptkbp:competes_with
|
gptkb:AMD_Radeon_RX_6000_series
gptkb:Intel
gptkb:AMD
|
gptkbp:competitors
|
gptkb:Qualcomm
gptkb:Samsung
gptkb:Apple
gptkb:Intel
gptkb:AMD
|
gptkbp:conducts_research_on
|
gptkb:Bill_Dally
|
gptkbp:connectivity
|
10 Gb E Ethernet
|
gptkbp:connects
|
gptkb:monitor
gptkb:Docker
gptkb:laptop
gptkb:PCIe
Desktop computer
|
gptkbp:contributes_to
|
drug discovery
|
gptkbp:cooling_system
|
liquid cooling
air cooling
|
gptkbp:created
|
AI models for pathology
|
gptkbp:designed_for
|
gptkb:machine_learning
gptkb:AI_technology
big data processing
deep learning
financial modeling
natural language processing
scientific computing
healthcare applications
computer vision applications
robotics applications
smart city applications
environmental applications
telecommunications applications
agriculture applications
transportation applications
energy sector applications
smart agriculture applications
smart energy applications
smart environmental applications
smart healthcare applications
smart transportation applications
|
gptkbp:developed_by
|
gptkb:NVIDIA_Ge_Force_400_series
gptkb:NVIDIA_RTX_A6000
gptkb:Deep_Learning_AI
gptkb:NVIDIA_RTX
gptkb:NVIDIA_GTX_1080
gptkb:NVIDIA_Control_Panel
gptkb:NVIDIA_GTX_1060
gptkb:NVIDIA_Ge_Force_700_series
gptkb:medical_imaging
gptkb:DLSS_technology
gptkb:NVIDIA_Ge_Force_Experience
gptkb:NVLink_technology
gptkb:RTX_series
gptkb:NVIDIA_Studio
gptkb:Phys_X
gptkb:NVIDIA_Ge_Force_100_series
gptkb:NVIDIA_Ge_Force_16_series
gptkb:NVIDIA_Ge_Force_20_series
gptkb:NVIDIA_Ge_Force_300_series
gptkb:NVIDIA_Ge_Force_800_series
gptkb:DLSS
gptkb:NVIDIA_Game_Works
gptkb:NVIDIA_Reflex
gptkb:Tegra_series
gptkb:CUDA
gptkb:NVIDIA_A100
gptkb:NVIDIA_Broadcast
gptkb:NVIDIA_Clara
gptkb:NVIDIA_Ge_Force_NOW
gptkb:NVIDIA_Ge_Force_RTX_40_Series
gptkb:NVIDIA_H100
gptkb:NVIDIA_K80
gptkb:NVIDIA_Omniverse
gptkb:NVIDIA_P100
gptkb:NVIDIA_Shield
gptkb:NVIDIA_V100
gptkb:Ge_Force_NOW
gptkb:NVIDIA_RTX_3080
gptkb:NVIDIA_RTX_3090
gptkb:NVIDIA_Drive
gptkb:NVIDIA_Ge_Force_500_series
gptkb:Ge_Force_series
gptkb:NVIDIA_Omniverse_Avatar
gptkb:Omniverse_platform
gptkb:Quadro_series
gptkb:NVIDIA_G-SYNC
gptkb:NVIDIA_RTX_3050
gptkb:NVIDIA_RTX_3060
gptkb:NVIDIA_RTX_3070
gptkb:NVIDIA_GTX_1070
Jetson platform
CUDA architecture
G-Sync technology
Tesla series
NVIDIA Ge Force 200 series
NVIDIA Ge Force 10 series
NVIDIA Ge Force 900 series
NVIDIA Ge Force 600 series
Phys X technology
|
gptkbp:development
|
surgical assistance
|
gptkbp:develops
|
gptkb:medical_imaging
gptkb:DLSS_technology
gptkb:Graphics_Processing_Unit
gptkb:DLSS
gptkb:CUDA
gptkb:NVIDIA
memory controllers
CUDA technology
graphics processing units (GPUs)
deep learning technologies
Ray Tracing technology
AI computing platforms
|
gptkbp:dimensions
|
24 x 12 x 24 inches
|
gptkbp:direct_xsupport
|
gptkb:Direct_X_12
|
gptkbp:employees
|
over 18,000
over 22,000
Over 18,000
18,100 (2021)
over 18,000 (2021)
|
gptkbp:enables
|
genomic research
|
gptkbp:enables_real_time
|
healthcare monitoring
|
gptkbp:encourages
|
AI in public health
|
gptkbp:enhances
|
patient care
Visual quality
Frame rates
Rendering times
visual quality in games
|
gptkbp:enhances_data_security_in
|
healthcare AI applications
|
gptkbp:enhances_efficiency_in
|
healthcare operations
|
gptkbp:enhances_patient_outcomes_through
|
AI analytics
|
gptkbp:enhances_research_capabilities_in
|
gptkb:medical_imaging
|
gptkbp:events
|
gptkb:CES
gptkb:SIGGRAPH
GTC (GPU Technology Conference)
|
gptkbp:expansion_slots
|
4 PCIe 3.0
|
gptkbp:facilitates
|
telemedicine solutions
|
gptkbp:famous_for
|
gptkb:Tegra_series
gptkb:Ge_Force_series
gptkb:Quadro_series
CUDA programming model
|
gptkbp:features
|
collaborative tools
data processing capabilities
data security measures
security features
user-friendly interface
data management capabilities
energy efficiency measures
data security features
data processing tools
user access controls
AI frameworks
advanced analytics capabilities
data management resources
high availability options
GPU virtualization
|
gptkbp:focus
|
gptkb:Augmented_Reality
gptkb:virtual_reality
gptkb:Artificial_Intelligence
gptkb:vehicles
gptkb:cloud_computing
gptkb:automotive_industry
gptkb:machine_learning
gptkb:Deep_Learning
gptkb:Gaming
High-Performance Computing
Data Centers
deep learning
|
gptkbp:focuses_on
|
gptkb:Artificial_Intelligence
|
gptkbp:form_factor
|
gptkb:PCI_Express_3.0
gptkb:computer
desktop
rack-mounted
|
gptkbp:founded
|
gptkb:1993
|
gptkbp:founded_by
|
gptkb:Jensen_Huang
|
gptkbp:founded_in
|
gptkb:1993
gptkb:California
|
gptkbp:founder
|
gptkb:Curtis_Priem
gptkb:Jen-Hsun_Huang
gptkb:Jensen_Huang
gptkb:Chris_Malachowsky
|
gptkbp:funding
|
gptkb:1999
|
gptkbp:game_type
|
gptkb:G-SYNC
gptkb:Ge_Force
gptkb:NVIDIA_Shield
gptkb:Ge_Force_NOW
|
gptkbp:gpu
|
gptkb:RTX_30_Series
gptkb:GTX_16_Series
gptkb:4
gptkb:Tesla
Quadro
|
gptkbp:graphics
|
gptkb:Tesla
gptkb:Ge_Force_GTX
gptkb:Ge_Force_RTX
Quadro
|
gptkbp:has
|
gptkb:NVIDIA_RTX_A6000
gptkb:NVIDIA_Clara_Imaging
gptkb:NVIDIA_Ge_Force_GTX_1660
gptkb:NVIDIA_Ge_Force_Now
gptkb:NVIDIA_Ge_Force_GTX_1050_Ti
gptkb:NVIDIA_Phys_X
gptkb:NVIDIA_Clara_Guardian
gptkb:NVIDIA_Clara_Parabricks
gptkb:NVIDIA_Ge_Force_GTX_1080_Ti
gptkb:NVIDIA_Ge_Force_RTX_2080_Ti
gptkb:NVIDIA_CUDA
gptkb:NVIDIA_DGX_A100
gptkb:NVIDIA_Deep_Stream
gptkb:NVIDIA_Tensor_RT
gptkb:RTX_series
gptkb:NVIDIA_Studio
gptkb:NVIDIA_Game_Works
gptkb:NVIDIA_A40_GPU
gptkb:NVIDIA_Triton_Inference_Server
gptkb:Tensor_RT
gptkb:NVIDIA_Reflex
gptkb:NVIDIA_AI_Enterprise
gptkb:Tegra_series
gptkb:NVIDIA_Broadcast
gptkb:NVIDIA_Clara
gptkb:NVIDIA_Ge_Force_NOW
gptkb:NVIDIA_Ge_Force_RTX_3050
gptkb:NVIDIA_Ge_Force_RTX_3060
gptkb:NVIDIA_Ge_Force_RTX_3070
gptkb:NVIDIA_Ge_Force_RTX_3080
gptkb:NVIDIA_Ge_Force_RTX_3090
gptkb:NVIDIA_Omniverse
gptkb:NVIDIA_Shield
gptkb:NVIDIA_Ge_Force_RTX_2060
gptkb:NVIDIA_Ge_Force_RTX_2070
gptkb:NVIDIA_RTX_3080
gptkb:NVIDIA_RTX_3090
gptkb:NVIDIA_Drive
gptkb:NVIDIA
gptkb:A100_Tensor_Core_GPU
gptkb:DGX_systems
gptkb:Deep_Stream_SDK
gptkb:Ge_Force_series
gptkb:H100_Tensor_Core_GPU
gptkb:NVIDIA_A30_GPU
gptkb:NVIDIA_Clara_platform
gptkb:NVIDIA_Cloud_XR
gptkb:NVIDIA_Drive_platform
gptkb:NVIDIA_Isaac_platform
gptkb:NVIDIA_K80_GPU
gptkb:NVIDIA_Maxine_platform
gptkb:NVIDIA_Omniverse_Avatar
gptkb:NVIDIA_Omniverse_Connectors
gptkb:NVIDIA_Omniverse_Create
gptkb:NVIDIA_Omniverse_Kit
gptkb:NVIDIA_Omniverse_Nucleus
gptkb:NVIDIA_Omniverse_View
gptkb:NVIDIA_P100_GPU
gptkb:NVIDIA_Riva_platform
gptkb:NVIDIA_T4_GPU
gptkb:NVIDIA_V100_GPU
gptkb:Omniverse_platform
gptkb:Quadro_series
gptkb:NVIDIA_Clara_Holoscan
gptkb:NVIDIA_DLSS
gptkb:NVIDIA_G-SYNC
gptkb:NVIDIA_Omniverse_Machinima
gptkb:NVIDIA_RTX_3050
gptkb:NVIDIA_RTX_3060
gptkb:NVIDIA_RTX_3070
gptkb:NVIDIA_RTX_IO
gptkb:NVIDIA_VRWorks
gptkb:NVIDIA_RTX_4000_series
gptkb:NVIDIA_RTX_5000_series
gptkb:NVIDIA_RTX_6000_series
gptkb:NVIDIA_RTX_8000_series
gptkb:NVIDIA_Ge_Force_MX_series
scalability options
Jetson platform
CUDA architecture
Tesla series
|
gptkbp:has_applications_in
|
gptkb:Computer_Vision
gptkb:Artificial_Intelligence
gptkb:machine_learning
gptkb:Data_Analytics
gptkb:Gaming
Scientific Computing
|
gptkbp:has_feature
|
Ray Tracing
|
gptkbp:has_function
|
gptkb:machine_learning
image processing
parallel processing
video playback
Enhance graphics performance
rendering graphics
|
gptkbp:has_headquarters_in
|
gptkb:Santa_Clara,_California
|
gptkbp:has_part
|
gptkb:NVIDIA_Ge_Force_GTX
gptkb:NVIDIA_GRID
gptkb:NVIDIA_RTX_A6000
gptkb:NVIDIA_RTX
gptkb:NVIDIA_Phys_X
gptkb:NVIDIA_Omniverse_Audio2_Face
gptkb:Ge_Force_GTX_Series
gptkb:Ge_Force_RTX_40_Series
gptkb:NVIDIA_DGX_Systems
gptkb:NVIDIA_Ge_Force_GT_Series
gptkb:NVIDIA_Ge_Force_RTX_10_Series
gptkb:NVIDIA_Ge_Force_RTX_Series
gptkb:TITAN_Series
gptkb:NVIDIA_Omniverse_Connect
gptkb:NVIDIA_Studio
gptkb:Omnitrix
gptkb:Phys_X
gptkb:NVIDIA_Game_Works
gptkb:Tensor_RT
gptkb:NVIDIA_Reflex
gptkb:Ge_Force_Series
gptkb:NVIDIA_AI_Enterprise
gptkb:Quadro_RTX_Series
gptkb:CUDA
gptkb:NVIDIA_A10
gptkb:NVIDIA_A100
gptkb:NVIDIA_A40
gptkb:NVIDIA_Broadcast
gptkb:NVIDIA_Clara
gptkb:NVIDIA_Ge_Force_GTX_Series
gptkb:NVIDIA_Ge_Force_MX_Series
gptkb:NVIDIA_Ge_Force_NOW
gptkb:NVIDIA_Ge_Force_RTX_20_Series
gptkb:NVIDIA_Ge_Force_RTX_30_Series
gptkb:NVIDIA_Ge_Force_RTX_40_Series
gptkb:NVIDIA_H100
gptkb:NVIDIA_Isaac
gptkb:NVIDIA_Jetson
gptkb:NVIDIA_K80
gptkb:NVIDIA_Omniverse
gptkb:NVIDIA_P100
gptkb:NVIDIA_Shield
gptkb:NVIDIA_T4
gptkb:NVIDIA_V100
gptkb:Ge_Force_NOW
gptkb:NVIDIA_RTX_3080
gptkb:NVIDIA_RTX_3090
gptkb:NVIDIA_Drive
gptkb:Deep_Stream_SDK
gptkb:NVIDIA_Omniverse_Create
gptkb:NVIDIA_Omniverse_Kit
gptkb:NVIDIA_Omniverse_Nucleus
gptkb:NVIDIA_Omniverse_View
gptkb:Ge_Force_RTX_30_Series
gptkb:NVIDIA_DLSS
gptkb:NVIDIA_G-SYNC
gptkb:NVIDIA_Metropolis
gptkb:NVIDIA_Omniverse_Machinima
gptkb:NVIDIA_RTX_3050
gptkb:NVIDIA_RTX_3060
gptkb:NVIDIA_RTX_3070
|
gptkbp:has_partnerships_with
|
gptkb:Nintendo
gptkb:Amazon_Web_Services
gptkb:Google_Cloud
gptkb:IBM
gptkb:Microsoft
gptkb:Oracle
major gaming platforms
|
gptkbp:has_product
|
gptkb:Ge_Force_RTX_series
gptkb:NVIDIA_RTX_A6000
gptkb:NVIDIA_V100_Tensor_Core_GPU
gptkb:TITAN_series
gptkb:Ge_Force_GTX_Series
gptkb:V100_Tensor_Core_GPU
gptkb:Tegra
gptkb:Tesla
gptkb:NVIDIA_Deep_Learning_Accelerator_(NVDLA)
gptkb:NVIDIA_Titan_Series
gptkb:Ge_Force
gptkb:NVIDIA_A100_Tensor_Core_GPU
gptkb:NVIDIA_Ge_Force_RTX_3080
gptkb:NVIDIA_Shield
gptkb:NVIDIA_RTX_3080
gptkb:NVIDIA_RTX_3090
gptkb:NVIDIA
gptkb:A100_Tensor_Core_GPU
gptkb:Quadro_series
gptkb:Ge_Force_RTX_30_Series
gptkb:NVIDIA_Omniverse_platform
gptkb:NVIDIA_RTX_3070
Quadro
Tesla series
NVIDIA Clara for healthcare
NVIDIA Drive for autonomous vehicles
NVIDIA Ge Force NOW cloud gaming service
NVIDIA Isaac for robotics
NVIDIA Jetson for AI at the edge
|
gptkbp:has_product_line
|
gptkb:Ge_Force
Quadro
Professional GPU Lineup
|
gptkbp:has_programs
|
gptkb:Game_Works
gptkb:NVIDIA_Studio
gptkb:Omnitrix
gptkb:Phys_X
gptkb:NVIDIA_Game_Works
gptkb:NVIDIA_GPU_Cloud
gptkb:CUDA
gptkb:NVIDIA_Broadcast
gptkb:NVIDIA_Omniverse
predictive modeling in healthcare
|
gptkbp:has_project
|
gptkb:NVIDIA_AI_Foundations
gptkb:NVIDIA_AI_for_Autonomous_Vehicles
gptkb:NVIDIA_AI_for_Energy
gptkb:NVIDIA_AI_for_Finance
gptkb:NVIDIA_AI_for_Healthcare
gptkb:NVIDIA_AI_for_Manufacturing
gptkb:NVIDIA_AI_for_Research
gptkb:NVIDIA_AI_for_Social_Good
gptkb:NVIDIA_AI_for_Sports
gptkb:NVIDIA_AI_for_Transportation
gptkb:NVIDIA_TAO_Toolkit
gptkb:NVIDIA_DALI
gptkb:NVIDIA_Deep_Stream
gptkb:NVIDIA_Merlin
gptkb:NVIDIA_Tensor_RT
gptkb:NVIDIA_AI_Enterprise
gptkb:NVIDIA_RAPIDS
gptkb:NVIDIA_Riva
gptkb:NVIDIA_Clara
gptkb:NVIDIA_Jetson
gptkb:NVIDIA_Maxine
gptkb:NVIDIA_Omniverse
gptkb:NVIDIA_Research_Labs
gptkb:NVIDIA_Aerial
gptkb:NVIDIA_Bio_Ne_Mo
gptkb:NVIDIA_Isaac_Sim
gptkb:NVIDIA_Ne_Mo
gptkb:NVIDIA_Ne_RF
gptkb:NVIDIA_Style_GAN
gptkb:NVIDIA_Deep_Learning_SDK
NVIDIA AI for Agriculture
NVIDIA AI for Cloud Computing
NVIDIA AI for Computer Vision
NVIDIA AI for Data Science
NVIDIA AI for Edge Computing
NVIDIA AI for Education
NVIDIA AI for Entertainment
NVIDIA AI for Gaming
NVIDIA AI for Natural Language Processing
NVIDIA AI for Robotics
NVIDIA AI for Security
NVIDIA AI for Smart Cities
NVIDIA AI for Telecommunications
NVIDIA GANs
|
gptkbp:has_research_focus
|
gptkb:Artificial_Intelligence
gptkb:Deep_Learning
|
gptkbp:has_technology
|
gptkb:NVLink
gptkb:G-Sync
gptkb:DLSS_2.0
gptkb:DLSS
gptkb:Tensor_Cores
gptkb:CUDA
gptkb:HBM2
Deep learning
Parallel computing
GDDR5
GDDR6
Ray tracing
AI computing
GPU computing
Deep Learning Super Sampling (DLSS)
LPDDR4 X
GDDR5 X
|
gptkbp:headcount
|
18,100 (2021)
|
gptkbp:headquartered_in
|
gptkb:Santa_Clara,_California
|
gptkbp:headquarters
|
gptkb:Silicon_Valley
gptkb:Santa_Clara,_California
|
https://www.w3.org/2000/01/rdf-schema#label
|
NVIDIA
|
gptkbp:includes
|
gptkb:NVIDIA_GPUs
gptkb:cloud_storage
system monitoring tools
user training resources
performance benchmarking tools
system upgrade options
power management features
system configuration tools
system performance metrics
technical support services
system maintenance tools
system diagnostics tools
system performance analysis tools
system performance monitoring tools
AI model training tools
DGX software stack
system configuration resources
system maintenance resources
|
gptkbp:industry
|
gptkb:technology
|
gptkbp:infrastructure
|
healthcare data analysis
|
gptkbp:initiatives
|
healthcare AI
|
gptkbp:innovation
|
remote patient monitoring
|
gptkbp:integrates_with
|
AI into healthcare systems
|
gptkbp:interface
|
gptkb:Thunderbolt
USB-C
2 x 10 Gb E
|
gptkbp:introduced
|
gptkb:Ampere_architecture
gptkb:Pascal_architecture
gptkb:Turing_architecture
gptkb:Volta_architecture
gptkb:Maxwell_architecture
gptkb:Ada_Lovelace_architecture
gptkb:Fermi_architecture
gptkb:Kepler_architecture
CUDA architecture
|
gptkbp:investment
|
healthcare startups
|
gptkbp:ipo
|
gptkb:1999
|
gptkbp:is_a_resource_for
|
healthcare innovation
|
gptkbp:is_a_solution_for
|
healthcare analytics
clinical workflows
healthcare data visualization
|
gptkbp:is_a_tool_for
|
clinical trials
radiology
|
gptkbp:is_available_in
|
Various sizes
Various brands
Different models
various form factors
Different capacities
Stationary designs
Portable designs
|
gptkbp:is_compatible_with
|
gptkb:AMD_graphics_cards
gptkb:Vulkan_API
gptkb:NVIDIA_graphics_cards
gptkb:Open_GL
gptkb:Direct_X_12
gptkb:NVIDIA_NGC
Various operating systems
|
gptkbp:is_connected_to
|
gptkb:computer
gptkb:power_adapter
|
gptkbp:is_considered
|
A solution for limited laptop graphics
A performance booster
A cost-effective upgrade option
A modern solution for graphics needs
An accessory for laptops
|
gptkbp:is_evaluated_by
|
benchmark tests
|
gptkbp:is_integrated_with
|
into a CPU
|
gptkbp:is_involved_in
|
gptkb:blockchain_technology
gptkb:virtual_reality
gptkb:Graphics_Processing_Unit
gptkb:vehicles
gptkb:cloud_computing
gptkb:machine_learning
gptkb:AI_technology
augmented reality
data centers
gaming industry
high-performance computing
edge computing
|
gptkbp:is_known_for
|
gptkb:Artificial_Intelligence
gptkb:research_center
gptkb:Deep_Learning
gptkb:NVIDIA
gptkb:Gaming
real-time ray tracing
ray tracing technology
CUDA programming model
deep learning technologies
|
gptkbp:is_often_compared_to
|
Internal GPU
|
gptkbp:is_often_used_in
|
gptkb:artwork
Gamers
High-end gaming
Content creators
Gaming tournaments
Graphic designers
High-performance tasks
Professional studios
|
gptkbp:is_part_of
|
gptkb:video_game
gptkb:computer
gptkb:cloud_services
gptkb:laptop
Gaming setup
AI accelerators
Creative workstation
|
gptkbp:is_subject_to
|
market competition
driver updates
|
gptkbp:is_used_for
|
Cryptocurrency mining
|
gptkbp:is_used_in
|
gptkb:virtual_reality
Machine learning
augmented reality
cryptocurrency mining
deep learning
gaming
scientific computing
Professional applications
Gaming laptops
|
gptkbp:key_concept
|
gptkb:DLSS
gptkb:Tensor_Cores
gptkb:CUDA
Ray tracing
|
gptkbp:key_people
|
gptkb:Tim_Wright
gptkb:Jeff_Fisher
gptkb:Michael_Kagan
gptkb:Jensen_Huang
gptkb:Bill_Dally
gptkb:Chris_Malachowsky
gptkb:Colette_Kress
gptkb:Debora_Shoquist
|
gptkbp:known_for
|
gptkb:Ge_Force_GPUs
gptkb:Quadro_GPUs
gptkb:Tegra_Series
gptkb:Ge_Force_Series
gptkb:Quadro_Series
gptkb:Tegra_series
gptkb:Ge_Force_series
gptkb:Quadro_series
graphics processing units
Tegra processors
|
gptkbp:launch_event
|
gptkb:Gamescom_2018
|
gptkbp:leadership
|
gptkb:NVIDIA
|
gptkbp:manufacturer
|
gptkb:Intel
gptkb:AMD
gptkb:NVIDIA
|
gptkbp:market_cap
|
over $1 trillion
$1 trillion (2021)
$800 billion (2021)
over $800 billion (2021)
$1 trillion (2023)
over $1 trillion (as of 2023)
Over $1 trillion (2021)
|
gptkbp:market_segment
|
enterprise
|
gptkbp:market_share
|
Gaming GPUs
High-end Graphics Cards
High-end GPUs
|
gptkbp:memory_type
|
gptkb:HBM2
GDDR5
GDDR6
|
gptkbp:monitors
|
yes
|
gptkbp:network
|
high-speed interconnects
|
gptkbp:notable_achievement
|
Leader in AI hardware
Developed AI for self-driving cars
First to market with a GPU
Leader in gaming graphics
Pioneered real-time ray tracing
Leader in data center GPUs
|
gptkbp:notable_achievements
|
Leader in AI hardware
Leader in gaming graphics
Developed autonomous vehicle technology
Developed deep learning frameworks
Pioneered GPU computing
|
gptkbp:notable_features
|
gptkb:NVIDIA_Ansel
gptkb:DLSS_2.0
gptkb:NVIDIA_Reflex
gptkb:NVIDIA_Broadcast
gptkb:NVIDIA_G-SYNC
high performance computing
real-time ray tracing
advanced cooling solutions
VR gaming
high frame rates
multi-monitor setups
high bandwidth memory
customizable RGB lighting
AI-enhanced gaming
enhanced visual fidelity
4 K gaming
8 K gaming
|
gptkbp:notable_products
|
gptkb:NVIDIA_DGX
gptkb:NVIDIA_RTX
gptkb:NVIDIA_DGX_systems
gptkb:Jetson
gptkb:Tegra
gptkb:Tesla
gptkb:RTX_series
gptkb:Ge_Force
gptkb:NVIDIA_Jetson
gptkb:NVIDIA_Shield
gptkb:shield
gptkb:Ge_Force_RTX_30_Series
Quadro
|
gptkbp:notable_technology
|
gptkb:NVIDIA_Data_Science_Workbench
gptkb:NVIDIA_Morpheus
gptkb:NVIDIA_DALI
gptkb:NVIDIA_Deep_Stream
gptkb:NVIDIA_Jarvis
gptkb:NVIDIA_Merlin
gptkb:NVIDIA_Tensor_RT
gptkb:DLSS
gptkb:NVIDIA_Triton_Inference_Server
gptkb:NVIDIA_AI_Enterprise_Suite
gptkb:NVIDIA_RAPIDS
gptkb:Deep_Learning
gptkb:CUDA
gptkb:NVIDIA_Clara
gptkb:NVIDIA_Isaac
gptkb:NVIDIA_Maxine
gptkb:NVIDIA_Omniverse
gptkb:NVIDIA_Aerial
gptkb:NVIDIA_Ne_Mo
gptkb:NVIDIA_Deep_Learning_SDK
gptkb:NVIDIA_Metropolis
Ray Tracing
NVIDIA GPU Cloud (NGC)
|
gptkbp:notable_users
|
gptkb:Stanford_University
|
gptkbp:number_of_cores
|
yes
varies by model
|
gptkbp:number_of_employees
|
18,000 (2021)
18,100 (2021)
|
gptkbp:offers
|
gptkb:NVIDIA_Studio_drivers
gptkb:Data
cloud integration
customization options
integration with third-party tools
cloud-based solutions
data analytics capabilities
data analytics services
data integration services
performance optimization tools
data analytics solutions
data integration solutions
data visualization capabilities
HDR support
remote management capabilities
AI frameworks
data analytics frameworks
data processing frameworks
data processing solutions
data processing services
data integration frameworks
CUDA memory management
|
gptkbp:offers_workshops_on
|
healthcare AI technologies
|
gptkbp:operating_system
|
gptkb:Ubuntu_Linux
gptkb:Linux
|
gptkbp:original_purpose
|
AI training
|
gptkbp:overclocking_support
|
yes
to increase performance
|
gptkbp:participates_in
|
healthcare conferences
|
gptkbp:partnership
|
gptkb:Amazon_Web_Services
gptkb:Google_Cloud
gptkb:IBM
gptkb:Mercedes-Benz
gptkb:Microsoft
gptkb:Oracle
gptkb:Amazon
gptkb:Google
gptkb:Tesla
gptkb:Volkswagen
gptkb:Tesla,_Inc.
pharmaceutical companies
healthcare organizations
|
gptkbp:partnerships
|
gptkb:Amazon_Web_Services
gptkb:Microsoft
gptkb:Google
|
gptkbp:performance
|
high
1 peta FLOPS
FPS (Frames Per Second)
TFLOPS (Tera Floating Point Operations Per Second)
VRAM (Video RAM)
AI training speed
|
gptkbp:power_consumption
|
300 W
varies by model
measured in watts
|
gptkbp:power_output
|
AC 100-240 V
|
gptkbp:power_supply
|
3200 W
|
gptkbp:price
|
approximately $69,000
|
gptkbp:price_range
|
$499 -$1499
|
gptkbp:produced
|
gptkb:Ge_Force_8800_GTX
gptkb:Tegra
gptkb:Quadro_series
gptkb:Ge_Force_RTX_30_Series
|
gptkbp:produces
|
gptkb:vehicles
gptkb:gamepad
gptkb:AI_technology
Graphics Processing Units
GPUs
Graphics Cards
Graphics Processing Units (GPUs)
graphics cards
data center hardware
graphics processing units (GPUs)
automotive hardware
deep learning hardware
deep learning platforms
AI hardware platforms
system on chips (So Cs)
|
gptkbp:product
|
gptkb:Ge_Force_700
gptkb:Ge_Force_256
gptkb:Ge_Force_10
gptkb:Ge_Force_100
gptkb:Ge_Force_2
gptkb:Ge_Force_20
gptkb:Ge_Force_200
gptkb:Ge_Force_3
gptkb:Ge_Force_30
gptkb:Ge_Force_300
gptkb:Ge_Force_400
gptkb:Ge_Force_500
gptkb:Ge_Force_6
gptkb:Ge_Force_9
gptkb:Ge_Force_900
gptkb:RIVA_128
gptkb:Ge_Force_7
gptkb:Ge_Force_8
Ge Force 4
Ge Force 600
Ge Force 800
Ge Force FX
NV1
TNT2
|
gptkbp:products
|
gptkb:NVIDIA_RTX
gptkb:Ge_Force_GPUs
gptkb:Quadro_GPUs
gptkb:automotive_industry
gptkb:NVIDIA_Shield
gptkb:AI_technology
gptkb:Tesla_GPUs
AI Software
Graphics Processing Units (GPUs)
mobile computing
graphics processing units (GPUs)
Mobile Processors
Tegra processors
|
gptkbp:promotes
|
data-driven healthcare
|
gptkbp:promotes_aiuse_in
|
mental health services
|
gptkbp:provides
|
gptkb:NVIDIA_G-SYNC_technology
collaboration tools
data visualization tools
high-performance computing
real-time analytics
model evaluation tools
software development kits (SDKs)
memory bandwidth
model optimization tools
model training capabilities
data science tools
training datasets
high-speed memory
model training resources
model optimization capabilities
AI-powered graphics solutions
GPU computing solutions
model deployment frameworks
model evaluation capabilities
model evaluation resources
model optimization resources
model training frameworks
|
gptkbp:provides_access_to
|
healthcare data
|
gptkbp:provides_guidance_on
|
AI ethics in healthcare
|
gptkbp:provides_information_on
|
healthcare trends
|
gptkbp:provides_opportunities_for
|
AI talent in healthcare
|
gptkbp:provides_support_for
|
gptkb:Gaming
Video editing
3 D rendering
AI-based health apps
healthcare AI startups
medical AI ethics
|
gptkbp:provides_training_for
|
gptkb:healthcare_professionals
|
gptkbp:ram
|
512 GB
high-bandwidth memory
|
gptkbp:ray_tracing_support
|
yes
|
gptkbp:release_date
|
gptkb:2017
September 20, 2018
|
gptkbp:released
|
gptkb:2016
GTC 2017
Ge Force drivers
healthcare AI software tools
|
gptkbp:requires_power_supply
|
External power source
|
gptkbp:research
|
gptkb:NVIDIA_Research
|
gptkbp:research_focus
|
gptkb:Artificial_Intelligence
gptkb:Graphics_Processing_Unit
gptkb:Deep_Learning
gptkb:Gaming
Self-Driving Cars
|
gptkbp:resolution
|
7680 x 4320 (8 K)
|
gptkbp:revenue
|
over $16 billion
$26.91 billion (2023)
$16.68 billion (2021)
$26.91 billion (2021)
|
gptkbp:services_provided
|
NVIDIA Enterprise Support
|
gptkbp:slogan
|
GPU Computing
Visual Computing
AI for Everyone
Accelerating the Future of Computing
The Way It's Meant to Be Played
AI Computing Company
Accelerating Computing
The Way It's Meant to be Played
Accelerating the World’s AI
Visual Computing Leader
|
gptkbp:social_media
|
gptkb:Twitter
gptkb:Instagram
gptkb:Linked_In
gptkb:Pinterest
gptkb:Reddit
gptkb:Snapchat
gptkb:Tik_Tok
gptkb:Discord
gptkb:You_Tube
gptkb:Facebook
|
gptkbp:sponsors
|
gptkb:NVIDIA_Studio
gptkb:NVIDIA_Game_Works
gptkb:NVIDIA_AI_Research
NVIDIA Developer Program
|
gptkbp:stall_speed
|
gptkb:NVIDIA_Tesla_V100
|
gptkbp:stock_exchange
|
gptkb:NASDAQ
|
gptkbp:stock_symbol
|
gptkb:NVDA
|
gptkbp:storage
|
8 TB SSD
|
gptkbp:subsidiaries
|
gptkb:NVIDIA_Deep_Learning_Institute
gptkb:NVIDIA_Game_Works
gptkb:NVIDIA_AI_Enterprise
gptkb:NVIDIA_Research
|
gptkbp:subsidiary
|
gptkb:Mellanox_Technologies
gptkb:NVIDIA_Deep_Learning_Institute
gptkb:NVIDIA_Game_Works
gptkb:NVIDIA_Research
|
gptkbp:successor
|
gptkb:Ge_Force_RTX_30_series
gptkb:NVIDIA_DGX_Station_A100
|
gptkbp:support
|
multiple monitors
ray tracing
High-resolution displays
AI workloads
High refresh rates
high resolutions
NVIDIA support services
healthcare AI implementation
|
gptkbp:supports
|
gptkb:NVIDIA_Ansel
gptkb:medical_imaging
gptkb:NVIDIA_Studio
gptkb:DLSS
gptkb:NVIDIA_Reflex
gptkb:NVIDIA_Broadcast
gptkb:NVIDIA_G-SYNC
data analysis
data preprocessing
data analysis tools
data analytics
data governance
data integration
data lineage tracking
data sharing
data transformation
data visualization tools
gaming performance
multi-GPU configurations
multi-cloud environments
real-time data processing
real-time ray tracing
edge computing
collaborative research
containerized applications
data modeling
deep learning frameworks
AI workloads
data compliance
data exploration
data governance frameworks
data governance tools
data modeling tools
data quality assurance
data visualization capabilities
AI model deployment
data security compliance
data compliance tools
data analysis frameworks
data compliance frameworks
data exploration tools
data visualization frameworks
high-performance networking
AI ethics compliance
data modeling frameworks
high dynamic range (HDR) gaming
|
gptkbp:supports_aiintegration_in
|
healthcare devices
|
gptkbp:supports_interoperability_in
|
healthcare systems
|
gptkbp:sustainability
|
Renewable energy usage
renewable energy initiatives
Green initiatives
carbon neutral by 2025
Carbon neutrality goal by 2025
Energy-efficient GPUs
|
gptkbp:system
|
AI supercomputer
|
gptkbp:target_audience
|
research institutions
|
gptkbp:target_market
|
professionals
content creators
data scientists
enterprise customers
gamers
research institutions
|
gptkbp:technology
|
gptkb:virtual_reality
gptkb:Artificial_Intelligence
gptkb:research_center
gptkb:DLSS
gptkb:Deep_Learning
gptkb:CUDA
gptkb:AI_technology
Deep learning
Machine learning
Ray Tracing
Ray tracing
ray tracing
self-driving cars
AI computing
DLSS (Deep Learning Super Sampling)
AI and deep learning
AI and Deep Learning
CUDA (Compute Unified Device Architecture)
|
gptkbp:thermal_design_power
|
varies by model
|
gptkbp:traded_on
|
gptkb:NASDAQ
|
gptkbp:training_programs
|
healthcare AI practitioners
|
gptkbp:upgrades
|
gptkb:NVIDIA
in a desktop
|
gptkbp:use_case
|
deep learning
|
gptkbp:uses
|
gptkb:CUDA
memory bandwidth optimization
|
gptkbp:utilizes
|
gptkb:DLSS_technology
gptkb:Tensor_Cores
AI for diagnostics
|
gptkbp:video_output
|
gptkb:HDMI
HDMI 2.0b
Display Port 1.4a
|
gptkbp:vrready
|
yes
|
gptkbp:warranty
|
3 years
|
gptkbp:website
|
www.nvidia.com
|
gptkbp:weight
|
45 kg
|
gptkbp:bfsParent
|
gptkb:Stanford_University
gptkb:Telecommunications
gptkb:Legacy
gptkb:NASA
gptkb:war
|
gptkbp:bfsLayer
|
3
|