The B2B platform for the best purchasing descision. Identify and compare relevant B2B manufacturers, suppliers and retailers
Close
Filter
Continents
Select continent
Locations
Result types
Company type
Select company type
Industries
Select industry
Company status
Select company status preset
Number of employees
Min.
Max.
Founding year
WorkGPU
London, United Kingdom
A
1-10 Employees
2018
Key takeaway
WorkGPU is a decentralized computing platform that emphasizes cost-efficient, GPU-powered cloud technology, offering exceptional speed and processing capabilities particularly beneficial for applications in machine learning, remote work, and 3D graphics. Their Cloud Platform enhances performance for business applications while significantly reducing costs compared to traditional vendors.
Highlighted product
Core business
WorkGPU - GPU powered Cloud Tech
Our technology provides exceptional speed and processing capabilities that outperform other solutions, especially in the fields of machine learning, remote working, and 3D graphics, as well as video rendering.
Stream HPC
Amsterdam, Netherlands
A
11-50 Employees
2010
Key takeaway
Stream HPC specializes in optimizing software performance for both CPUs and GPUs, highlighting their expertise in OpenCL and CUDA. They have developed high-performance solutions, including a fast random number generator for AMD GPUs, which enhances productivity without the need for additional hardware.
Highlighted product
Product
NVIDIA - StreamHPC
NVIDIA mainly makes GPUs: GPUs (GeForce) Low-power GPUs (Tegra) Professional GPUs (Quadro) Accelerators (Tesla) These can be programmed with the following ...
LeaderTelecom B.V.
Amsterdam, Netherlands
A
11-50 Employees
2012
Key takeaway
LeaderGPU® specializes in providing high-performance GPU solutions for applications like machine learning and rendering, offering a range of powerful servers, including models equipped with NVIDIA® RTX 4090 and Tesla GPUs. Their services are highlighted as cost-effective and reliable for tasks such as image processing and deep learning.
Highlighted product
Core business
GPU servers rental for deep learning | LeaderGPU
Rent high quality, top performance GPU bare metal servers for deep learning. Access from any location of the world.
Looking for more accurate results?
Find the right companies for free by entering your custom query!
25M+ companies
250M+ products
Free to use
The Grid Factory
London, United Kingdom
A
1-10 Employees
-
Key takeaway
The company specializes in high-performance custom hosting solutions that support resource-intensive GPU server deployments, highlighting their expertise in NVIDIA technologies like CloudXR and vGPU. This focus on advanced GPU and immersive technology positions them as a key player for those seeking robust graphics processing capabilities.
Highlighted product
Service
Our Expertise - The Grid Factory
We design bespoke solutions using the latest GPU and immersive technology with servers to deliver data centre grade, high-performance environments.
Auxilio AI
Bucharest, Romania
B
1-10 Employees
2020
Key takeaway
Auxilio AI specializes in providing high-performance GPU capabilities for applications such as machine learning and rendering, boasting one of the most efficient GPU infrastructures globally. Their offerings include NVIDIA Ampere™ architecture GPUs, ensuring fast rendering and reliable services for various computational needs.
Highlighted product
Product
Rendering - Auxilio AI
altumea
Tallinn, Estonia
A
11-50 Employees
2017
Key takeaway
Altumea allows GPU owners to monetize their excess computing power, providing access to substantial resources for those in need of extensive calculations, such as artists, engineers, and researchers. This decentralized approach to GPU computing highlights the platform's ability to connect users with the vast computational capabilities of millions of GPUs.
Highlighted product
Core business
Decentralized GPU Computing : Altumea
IPtronics A/S
Roskilde, Denmark
A
11-50 Employees
2003
Key takeaway
NVIDIA DGX™ Cloud offers a powerful solution for AI training, featuring the GPU A10 Tensor Core, which enhances graphics and video processing through AI acceleration. This makes it ideal for developing large-scale generative AI applications.
Highlighted product
Product
GPU A10 Tensor Core | NVIDIA
Accelerated Graphics and Video with AI.
Scalable Graphics
Ludres, France
A
1-10 Employees
2007
Key takeaway
The company specializes in high-performance scalable solutions for Virtual Reality (VR) systems, highlighting their ability to enhance VR applications' performance through parallel image compositing that utilizes multiple Graphics Processing Units (GPUs). Their flagship product, Direct Transport Compositor (DTC), exemplifies this capability, making it particularly relevant for those interested in GPU technology.
Highlighted product
Core business
Scalable Graphics (aka SGX) | High performance pixel streaming, VR, parallel computing & visualization
Panchaea Ltd
Salisbury, United Kingdom
A
1-10 Employees
2020
Key takeaway
Panchaea specializes in providing high-performance graphics cards (GPUs) from top suppliers, having successfully sold over 10,000 GPUs to date. Their expertise in embedded technology and robust supply network ensures they can effectively support various applications with the latest GPU technologies.
Highlighted product
Product
Graphics Cards (GPUs) - Panchaea
Graphics Cards (GPUs) Delivering high-performance graphics cards from world-leading suppliers Our focus With thousands of graphic processing units (GPUs sold […]
Iguazio
Herzliya, Israel
B
51-100 Employees
2014
Key takeaway
Iguazio offers a GPU as a Service solution, which accelerates machine learning, deep learning, and data processing, enabling faster and scalable AI-based applications. This service addresses the critical need for efficient data science workflows, helping teams implement their innovations seamlessly into business applications.
Highlighted product
Product
GPU as a Service | Iguazio
Accelerate machine learning, deep learning and data processing using a single GPU as a Service solution, for faster and scalable AI-based applications
Technologies which have been searched by others and may be interesting for you:
A Graphics-Processing-Unit (GPU) is a specialized electronic circuit designed to accelerate the creation of images and animations for output to a display. It performs rapid mathematical calculations, primarily for rendering graphics, which makes it essential for gaming, video editing, and other graphic-intensive tasks. Modern GPUs also support parallel processing, allowing them to handle multiple tasks simultaneously. This capability enhances performance in applications such as machine learning and cryptocurrency mining, where large datasets require quick processing. As technology advances, GPUs continue to evolve, offering increased speed, efficiency, and functionality for various computing needs.
The performance of a Graphics-Processing-Unit (GPU) significantly influences gaming experiences. A powerful GPU enhances visual fidelity by rendering high-resolution textures, complex models, and realistic lighting effects. This capability allows games to run smoothly at higher frame rates, preventing lag and stuttering, which is crucial for immersive gameplay. Additionally, GPUs support advanced features like ray tracing and machine learning techniques, delivering more lifelike graphics and dynamic environments. This results in a more engaging gaming experience, where players can enjoy detailed worlds and responsive controls, particularly in graphically demanding titles.
1. Performance
When selecting a Graphics-Processing-Unit (GPU), performance is a critical factor. It is essential to consider the GPU's clock speed, core count, and memory bandwidth. These specifications directly influence the GPU's ability to handle complex graphics rendering and computational tasks efficiently.
2. Compatibility
Another important aspect is compatibility with existing hardware and software. Ensure that the GPU fits the motherboard’s PCIe slot and is supported by the computer's power supply. Additionally, verify that the operating system and any intended applications can utilize the specific GPU effectively.
3. Cooling Solutions
Cooling solutions are vital for maintaining optimal performance and preventing overheating. Look for GPUs with robust cooling systems, such as multiple fans or liquid cooling options, especially for high-performance models that generate significant heat during operation.
4. Price and Budget
Budget considerations play a significant role in the selection process. GPUs come in a wide range of prices, and it is crucial to balance performance with cost. Identify a budget that aligns with performance needs while ensuring long-term value.
5. Brand Reputation
The reputation of the manufacturer can impact the reliability and longevity of the GPU. Established brands often provide better customer support and warranty options, which can be critical in case of hardware issues or failures.
A Graphics-Processing-Unit (GPU) specializes in handling multiple tasks simultaneously, making it highly efficient for rendering graphics and processing complex calculations. Unlike a Central Processing Unit (CPU), which is designed for general-purpose computing and excels at sequential task execution, a GPU consists of thousands of smaller cores that work together, enabling parallel processing. This architecture allows GPUs to perform tasks like image rendering and machine learning computations much faster than CPUs, which are limited to fewer cores optimized for single-threaded performance. Additionally, GPUs are optimized for high throughput, meaning they can process large blocks of data at once, significantly benefiting applications that require real-time rendering and computations. In contrast, CPUs are better suited for tasks that require strong single-thread performance and quick decision-making capabilities.
1. Enhanced Performance
Utilizing a dedicated Graphics-Processing-Unit (GPU) significantly boosts the performance of video editing applications. A GPU can handle parallel processing tasks more efficiently than a CPU, which allows for faster rendering times and smoother playback of high-resolution video files.
2. Improved Visual Rendering
A dedicated GPU excels in visual rendering, providing better quality graphics and effects. This is particularly important for video editors who work with complex effects, transitions, and color grading. The superior processing power of a GPU ensures that these tasks are completed more quickly and with higher fidelity.
Some interesting numbers and facts about your company results for Graphics-Processing-Unit (Gpu)
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 2926 |
| Amount of suitable service providers | 2503 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2003 |
| Youngest suiting company | 2020 |
20%
40%
60%
80%
Some interesting questions that has been asked about the results you have just received for Graphics-Processing-Unit (Gpu)
What are related technologies to Graphics-Processing-Unit (Gpu)?
Based on our calculations related technologies to Graphics-Processing-Unit (Gpu) are Magnets, Printed Electronics, Industrial Amplifiers, Electronic Transducers, Electronic Oscillators
Who are Start-Ups in the field of Graphics-Processing-Unit (Gpu)?
Start-Ups who are working in Graphics-Processing-Unit (Gpu) are Auxilio AI, Panchaea Ltd
Which industries are mostly working on Graphics-Processing-Unit (Gpu)?
The most represented industries which are working in Graphics-Processing-Unit (Gpu) are IT, Software and Services, Other, Marketing Services, Media and Entertainment, Computer Hardware
How does ensun find these Graphics-Processing-Unit (Gpu) Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
