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Digitalfinca

Computer Equipment & Peripherals · Spain · <25 Employees

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About

Headquarters

PO Box, Llucmajor, Balearic Islands, 07620, Spa...

Revenue

<$5 Million

Industry

Computer Networking Equipment Network Security Hardware & Software Computer Equipment & Peripherals Manufacturing

Recent News & Media

No recent news or media

Who is Digitalfinca

Digitalfinca SL business is to provide HPC cloud based computing services and resources for clients worldwide. High performance Cloud Computing ongraphics processing units is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit. The use of multiple video cards in one computer, or large numbers of graphics chips, further parallelizes the already parallel nature of graphics processing. In addition, even a single GPU-CPU framework provides advantages that multiple CPUs on their own do not offer due to the specialization in each chip. Essentially, a GPGPU pipeline is a kind of parallel processing between one or more GPUs and CPUs that analyzes data as if it were in image or other graphic form. While GPUs operate at lower frequencies, they typically have many times the number of cores. Thus, GPUs can process far more pictures and graphical data per second than a traditional CPU. Migrating data into graphical form and then using the GPU to scan and analyze it can create a large speedup. GPGPU pipelines were developed at the beginning of the 21st century for graphics processing (e.g., for better shaders). These pipelines were found to fit scientific computing needs well, and have since been developed in this direction. Datascientists in both industry and academia have been using GPUs for machine learning to perform image classification, video analytics, speech recognition and natural language processing. In particular, Machine and Deep Learning is the area of the future for computing: its the basis for Artificial Intelligence. Although machine learning has been around for decades, two relatively recent trends have sparked widespread use of machine learning: the availability of massive amounts of training data, and powerful and efficient parallel computing provided by GPU computing. GPUs are used to train these deep neural networks using far larger training sets, in an ...Read more

Popular SearchesDigitalfinca SlAdnannySIC Code 35,357NAICS Code 33,334Show more

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Digitalfinca Tech Stack

A closer look at the technologies used by Digitalfinca

Frequently Asked Questions regarding Digitalfinca

Where is Digitalfinca located?
Digitalfinca's headquarters are located at PO Box, Llucmajor, Balearic Islands, 07620, Spain
What is Digitalfinca's official website?
Digitalfinca's official website is www.digitalfinca.com
What is Digitalfinca's Revenue?
Digitalfinca's revenue is <$5 Million
What is Digitalfinca's SIC code?
Digitalfinca's SIC: 35,357
What is Digitalfinca's NAICS code?
Digitalfinca's NAICS: 33,334
How many employees does Digitalfinca have?
Digitalfinca has <25 employees
What industry does Digitalfinca belong to?
Digitalfinca is in the industry of: Computer Networking Equipment, Network Security Hardware & Software, Computer Equipment & Peripherals
What is Digitalfinca competition?
Digitalfinca top competitors include: DroneData, NovuMind Inc, Sage GPU Cloud, Aspen Systems Inc
What technology does Digitalfinca use?
Some of the popular technologies that Digitalfinca uses are: PHP, Rackspace Email Hosting, Cloudflare DNS, Cloudflare Security
What does Digitalfinca do?

Digitalfinca SL business is to provide HPC cloud based computing services and resources for clients worldwide. High performance Cloud Computing on graphics processing units is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by t... he central processing unit. The use of multiple video cards in one computer, or large numbers of graphics chips, further parallelizes the already parallel nature of graphics processing. In addition, even a single GPU-CPU framework provides advantages that multiple CPUs on their own do not offer due to the specialization in each chip. Essentially, a GPGPU pipeline is a kind of parallel processing between one or more GPUs and CPUs that analyzes data as if it were in image or other graphic form. While GPUs operate at lower frequencies, they typically have many times the number of cores. Thus, GPUs can process far more pictures and graphical data per second than a traditional CPU. Migrating data into graphical form and then using the GPU to scan and analyze it can create a large speedup. GPGPU pipelines were developed at the beginning of the 21st century for graphics processing (e.g., for better shaders). These pipelines were found to fit scientific computing needs well, and have since been developed in this direction. Datascientists in both industry and academia have been using GPUs for machine learning to perform image classification, video analytics, speech recognition and natural language processing. In particular, Machine and Deep Learning is the area of the future for computing: its the basis for Artificial Intelligence. Although machine learning has been around for decades, two relatively recent trends have sparked widespread use of machine learning: the availability of massive amounts of training data, and powerful and efficient parallel computing provided by GPU computing. GPUs are used to train these deep neural networks using far larger training sets, in an ...Read More

Is Digitalfinca a public company?
Digitalfinca is private company therefore does not currently have an official ticker symbol
See more information about Digitalfinca

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