NVIDIA Tesla data center GPUs

All labels observed (15)

Label	Occurrences
NVIDIA Tesla GPU	2
NVIDIA data center GPUs	2
NVIDIA A-series for data center	1
NVIDIA A100 data center GPUs	1
NVIDIA GPU with Tensor Cores	1
NVIDIA H100 data center GPUs	1
NVIDIA Tesla	1
NVIDIA Tesla GPUs	1
NVIDIA Tesla K20	1
NVIDIA Tesla K40	1
NVIDIA Tesla K80	1
NVIDIA Tesla P100	1
NVIDIA Tesla V100 GPU	1
NVIDIA Tesla data center GPUs canonical	1
NVIDIA data center GPU	1

How this entity was disambiguated

This entity first appeared as the object of triple T1893299 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: NVIDIA Tesla data center GPUs
Context triple: [NVIDIA Corporation, products, NVIDIA Tesla data center GPUs]

A. NVIDIA AI Enterprise software suite
NVIDIA AI Enterprise software suite is a comprehensive, enterprise-grade collection of AI tools, frameworks, and optimized software designed to accelerate the development and deployment of AI and data analytics workloads across modern data centers and clouds.
B. NVIDIA DGX
NVIDIA DGX is a line of high-performance, AI-optimized computing systems designed for training and deploying large-scale machine learning and deep learning models.
C. NVIDIA CUDA
NVIDIA CUDA is a parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose high-performance computing.
D. GPU
The GPU (State Political Directorate) was the Soviet Union’s early secret police and intelligence agency that operated in the 1920s, overseeing political repression and internal security before later reorganizations.
E. GPU
GPU is the vehicle registration code used on license plates for cars registered in Poland’s Pomeranian Voivodeship.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: NVIDIA Tesla data center GPUs
Target entity description: NVIDIA Tesla data center GPUs are high-performance graphics processing units designed for accelerated computing workloads such as AI, machine learning, and high-performance computing in server and data center environments.

A. NVIDIA AI Enterprise software suite
NVIDIA AI Enterprise software suite is a comprehensive, enterprise-grade collection of AI tools, frameworks, and optimized software designed to accelerate the development and deployment of AI and data analytics workloads across modern data centers and clouds.
B. NVIDIA DGX
NVIDIA DGX is a line of high-performance, AI-optimized computing systems designed for training and deploying large-scale machine learning and deep learning models.
C. NVIDIA CUDA
NVIDIA CUDA is a parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose high-performance computing.
D. GPU
The GPU (State Political Directorate) was the Soviet Union’s early secret police and intelligence agency that operated in the 1920s, overseeing political repression and internal security before later reorganizations.
E. GPU
GPU is the vehicle registration code used on license plates for cars registered in Poland’s Pomeranian Voivodeship.
F. None of above. chosen

Statements (49)

Predicate	Object
instanceOf	GPU product line ⓘ data center accelerator ⓘ
architectureBasedOn	NVIDIA Kepler architecture ⓘ NVIDIA Maxwell architecture ⓘ linked to: Nvidia Maxwell GPU NVIDIA Pascal architecture ⓘ NVIDIA Volta architecture ⓘ
deploymentFormFactor	PCIe add-in card ⓘ SXM module ⓘ
designedFor	artificial intelligence workloads ⓘ data centers ⓘ deep learning inference ⓘ deep learning training ⓘ high-performance computing ⓘ machine learning workloads ⓘ scientific computing ⓘ servers ⓘ technical computing ⓘ
enables	large-scale data analytics ⓘ large-scale neural network training ⓘ parallel computing ⓘ simulation and modeling workloads ⓘ
includesModel	NVIDIA Tesla K20 ⓘ linked to: NVIDIA Tesla data center GPUs NVIDIA Tesla K40 ⓘ linked to: NVIDIA Tesla data center GPUs NVIDIA Tesla K80 ⓘ linked to: NVIDIA Tesla data center GPUs NVIDIA Tesla P100 ⓘ linked to: NVIDIA Tesla data center GPUs NVIDIA Tesla P4 ⓘ linked to: NVIDIA Pascal architecture NVIDIA Tesla P40 ⓘ linked to: NVIDIA Pascal architecture NVIDIA Tesla V100 ⓘ linked to: NVIDIA Pascal architecture
manufacturer	NVIDIA ⓘ linked to: NVIDIA Corporation
marketedAs	accelerators for HPC and AI ⓘ
powerOptimizedFor	rack-mounted servers ⓘ
successorBrand	NVIDIA data center GPUs under the A100 and H100 branding ⓘ
supports	CUDA ⓘ linked to: NVIDIA CUDA NVIDIA GPU computing ecosystem ⓘ linked to: NVIDIA CUDA NVLink interconnect ⓘ PCI Express interface ⓘ linked to: PCI Express double-precision floating point ⓘ mixed-precision computing ⓘ single-precision floating point ⓘ
supportsEcosystem	GPU-accelerated libraries for HPC ⓘ NVIDIA CUDA Toolkit ⓘ linked to: NVIDIA CUDA NVIDIA NCCL ⓘ linked to: NCCL NVIDIA cuDNN ⓘ linked to: cuDNN
targetCustomer	cloud service providers ⓘ enterprise data centers ⓘ supercomputing centers ⓘ
usedIn	GPU-accelerated clusters ⓘ GPU-accelerated servers ⓘ supercomputers ⓘ

How these facts were elicited

Referenced by (17)

Full triples — surface form annotated when it differs from this entity's canonical label.

NVIDIA Corporation → products → NVIDIA Tesla data center GPUs ⓘ

subject linked to: NVDA

NVIDIA Corporation → products → NVIDIA A100 data center GPUs ⓘ

subject linked to: NVDA