Question 1

What is the source of this data?

Accepted Answer

Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.

Question 2

How often is the data updated?

Accepted Answer

We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.

Question 3

What is CUDA?

Accepted Answer

CUDA which stands for Compute Unified Device Architecture is a parallel computing platform and programming model developed by NVIDIA It allows software developers to harness the power of NVIDIA GPUs for generalpurpose processing particularly in tasks requiring high computational power By offloading intensive parallel computation tasks from the CPU to the GPU CUDA enables significant acceleration of applications across various domains including scientific simulations deep learning image processing and more

CUDA falls under the category of Machine Learning Tools due to its crucial role in accelerating machine learning algorithms using GPU parallelism Machine learning models often involve complex computations that can benefit greatly from the parallel processing capabilities of GPUs CUDA provides the infrastructure and tools necessary to exploit GPU acceleration for training and inference tasks in machine learning making it a popular choice among data scientists and machine learning engineers

CUDA was founded by NVIDIA Corporation in 2006 with the primary goal of enabling developers to leverage the power of GPU computing for generalpurpose applications The initial motivation behind CUDA was to address the increasing demand for highperformance computing solutions that could handle complex parallel workloads efficiently As a pioneer in GPU technology NVIDIA saw an opportunity to revolutionize parallel computing by providing a platform that could unlock the massive parallel processing capabilities of GPUs for a broader range of applications

Currently CUDA holds a dominant position in the market for GPU computing platforms with a significant market share within the Machine Learning Tools category As the demand for accelerated computing continues to rise fueled by the growth of artificial intelligence and big data analytics CUDA is poised to maintain its market dominance and even expand its reach further The forecast suggests that CUDA is likely to see continuous growth in the future driven by the increasing adoption of GPU acceleration in diverse computing applications

Question 4

How to get an updated list of companies that use CUDA?

Accepted Answer

You can access an updated list of companies using CUDA by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.

Question 5

How many customers does CUDA have?

Accepted Answer

As of now, we have data on 8,887 companies that use CUDA.

Question 6

Who uses CUDA?

Accepted Answer

CUDA is used by a diverse range of organizations across various industries, including "Computer Hardware Manufacturing", "Semiconductor Manufacturing", "Defense and Space Manufacturing", "IT Services and IT Consulting", "IT Services and IT Consulting", "Defense and Space Manufacturing", "Technology, Information and Internet", "Defense and Space Manufacturing", "Defense and Space Manufacturing", "Motor Vehicle Manufacturing". For a comprehensive list of all industries utilizing CUDA, please visit TheirStack.com.

Question 7

What companies use CUDA?

Accepted Answer

Some of the companies that use CUDA include NVIDIA, AMD, Northrop Grumman, Luxoft, Lensa, Lockheed Martin, TieTalent, Leidos, Anduril Industries, Motional and many more. You can find a complete list of 8,887 companies that use CUDA on TheirStack.com.

Question 8

In which countries CUDA is used the most?

Accepted Answer

Based on our data, CUDA is most popular in United States (2,477 companies), United Kingdom (481 companies), France (226 companies), Germany (181 companies), India (180 companies), Canada (159 companies), Spain (97 companies), Netherlands (81 companies), Switzerland (72 companies), Israel (69 companies). However, it is used by companies all over the world.

Question 9

How to find companies that use CUDA?

Accepted Answer

You can find companies using CUDA by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.

Company	Country	Industry	Employees	Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue

Company	Country	Industry	Employees	Revenue	Technologies
NVIDIA	United States	Computer Hardware Manufacturing	43K	$27B	CUDA
AMD	United States	Semiconductor Manufacturing	56K	$23B	CUDA
Northrop Grumman	United States	Defense and Space Manufacturing	85K	$35B
Luxoft	Switzerland	IT Services and IT Consulting	16K		CUDA
Lensa	United States	IT Services and IT Consulting	480		CUDA
Lockheed Martin	United States	Defense and Space Manufacturing	111K	$66B
TieTalent	Switzerland	Technology, Information and Internet	29		CUDA
Leidos	United States	Defense and Space Manufacturing	36K	$14B	CUDA
Anduril Industries	United States	Defense and Space Manufacturing	6.6K	$34M
Motional	United States	Motor Vehicle Manufacturing	1.4K	$6.7M	CUDA

Companies that use CUDA

List of companies using CUDA

CUDA customers by country

How to target CUDA users

United States

United Kingdom

France

Germany

India

Canada

Spain

Netherlands

Switzerland

Israel

CUDA alternatives and competitors

TensorFlow

PyTorch

scikit-learn

ML Flow

MLflow

Microsoft LUIS

Amazon SageMaker

ENorm

Stan

Kubeflow

Neuro

Azure Machine Learning

Lateral

Streamlit

Amazon Machine Learning

NLTK

Perplexity

Triton

Amazon Text to Speech

Kur

Caffe

Appen

Propel

Ludwig

IBM Watson

Document AI

Aquarium

Fritz

Lamina

MXNet

Apache MXNet

Amazon Textract

Tensorflow Lite

Renate

Google AI Platform

Clipper

Igel

DeepSpeed

Bard AI

Amazon Comprehend

RAPIDS

Microsoft Cognitive Services

Weka

Gradio

Manifold

Apache Spark MLlib

OpenVINO

GraphRAG

Amazon Kendra

Run:ai

What is the source of this data?

What is the source of this data?

How often is the data updated?

How often is the data updated?

What is CUDA?

What is CUDA?

How to get an updated list of companies that use CUDA?

How to get an updated list of companies that use CUDA?

How many customers does CUDA have?

How many customers does CUDA have?

Who uses CUDA?

Who uses CUDA?

What companies use CUDA?

What companies use CUDA?

In which countries CUDA is used the most?