GPU

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There are 49 companies in the field of GPU on spotfolio that produce or deliver products, that utilize or research technologies or that are otherwise engaged in topics such as GPU, GPUs, NVIDIA, Computing, Data, CPU, V100, Memory .

Start-ups (18)

Early-stage companies (10)

Established companies (17)

The majority of these companies is located in the following countries.

United States (27)

Korea (South) (2)

Slovakia (2)

United Kingdom (2)

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NVIDIA NVIDIA Corporation

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Apps - For Developers - Technologies - CUDA-X - NVIDIA AMPERE ARCHITECTURE - NVIDIA VOLTA - NVIDIA PASCAL - Magnum - MULTI-INSTANCE GPU - TENSOR CORES

ANWENDUNGEN - FÜR ENTWICKLER - TECHNOLOGIEN - CUDA-X - NVIDIA Ampere-Architektur - NVIDIA VOLTA - NVIDIA PASCAL - Mehr-Instanzen-Grafikprozessor - NVLINK/NVSWITCH

NGC Catalog - Certified Systems - TEST DRIVE - WHERE TO BUY Data Center GPUs - Overview - A100 - A40 - V100 - T4 - RTX 6000 - RTX 8000 - Test Drive ...

Design & Pro Visualization Healthcare & Life Sciences High Performance Computing Networking (Mellanox) Self-Driving Cars Gaming & Entertainment other links

CONFERENCE - NVIDIA Blog - Community - Careers - TECHNOLOGIES Products - GPUs - NVIDIA A100 - NVIDIA V100 - NVIDIA T4 - DGX - HGX Apps - GPU Apps Catalog

Tensor TFLOPs of performance, 576 tensor cores, and 24 GB of ultra-fast GDDR6 memory to your PC. Add to Cart Education Discount from Partners #inception-disc

many as seven instances, each fully isolated with their own high-bandwidth memory, cache, and compute cores. Now administrators can support every workload ...

- NGC Catalog - Virtual GPU - Solutions - Overview - AI and Deep Learning - High Performance Computing - CLOUD GAMING - GPU Cloud Computing - VIRTUALIZATION

the CPU to enable direct IO among GPU memory, network, and storage, resulting in 10X higher bandwidth. System Balance and Utilization Relieves CPU contention

Volta-Grafikprozessor mit 512 Recheneinheiten und Tensor-Recheneinheiten CPU 8 ARM-v8.2-64-Bit-CPU-Kerne, 8 MB L2 + 4 MB L3 Arbeitsspeicher 32 GB 256-Bit LPDDR4x

PLATFORMS Autonomous Machines Cloud & Data Center AI & Data Science Design & Pro Visualization Healthcare & Life Sciences High Performance Computing Networking

PLATFORMS Autonomous Machines Cloud & Data Center AI & Data Science Design & Pro Visualization Healthcare & Life Sciences High Performance Computing Networking

Design & Pro Visualization Healthcare & Life Sciences High Performance Computing Networking (Mellanox) Self-Driving Cars Gaming & Entertainment other links

- TEST DRIVE - WHERE TO BUY Data Center GPUs - Overview - A100 - A40 - V100 - T4 - RTX 6000 - RTX 8000 - Test Drive SOFTWARE - Overview - CUDA-X -

- TEST DRIVE - WHERE TO BUY Data Center GPUs - Overview - A100 - A40 - V100 - T4 - RTX 6000 - RTX 8000 - Test Drive SOFTWARE - Overview - CUDA-X -

Industries - Shop - Drivers - Support - About NVIDIA - View All Products - GPU TECHNOLOGY CONFERENCE - NVIDIA Blog - Community - Careers - TECHNOLOGIES

Company for Advanced Supercomputing Solutions Company for Advanced Supercomputing Solutions LTD

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Education - Quantum Minesweeper - Services - OpenCL™ Development - NVIDIA® CUDA® Development - Cloud Computing Development - HPC Project Management

Education - Quantum Minesweeper - Services - OpenCL™ Development - NVIDIA® CUDA® Development - Cloud Computing Development - HPC Project Management

Disclaimer: Specifications subject to change 3 Tesla C-Series Workstation GPUs C2050 C2070 Processors 1 Tesla 20-series GPU Double precision performance ...

Calls, printf support L2 DRAM I/F Usability DRAM I/F Increased Shared Memory from 16 KB to 64 KB Added L1 and L2 Caches ECC on all Internal and External

Provides the runtime required to run CUDA based solutions • Supporting all GPUs starting from G80 (GeForce 8x00 series) Cont. • CUDA 1.1 released in Q4 ...

computation that fits a GPU • Using CUDA we can: – Allocate and transfer memory between a device and host – Run specific “kernel”s (math computations) – ...

familiar with GPU technology and trends • Covered historical developments • Current and latest technologies from NVIDIA and ATI 2nd meeting • GPU computing

based on general purpose GPU architecture with heterogeneous computing (CPU + GPU) capabilities. [toc] The Problem Image registration is known as the

pioneer, cutting-edge, HPC solutions for global markets based on advanced CPU/GPU architectures. In the early days, CASS developed libraries for CUDA,

necessarily image processing • For example: FFT, Monte-Carlo, DataSorting, Data mining and the list continues Continued… • What technological improvements

264/H.265 etc.) - Image/Signal Processing - RADAR - Geophysical Instrument Data Processor - Development Platform for Embedded Solutions HPC/GPGPU Compatibility

Home - Solutions - Embedded GPGPU Platforms - Hoopoe™ – GPU Cloud Computing - CLIPP™ – OpenCL™ Image Processing Primitives - GPUnit™ - Libraries

GPU Clouds – IGT 2009 Cloud Computing Summit Mordechai Butrashvily, CEO moti@hoopoe-cloud.com 02/12/2009 2009 (c) All rights reserved Agenda • Introduction

design information All rights reserved (c) 2008 - Mordechai 4th meeting • GPU computing with AMD (ATI) • StreamComputing programming • CAL.NET • FireStream

Twistcode Twistcode Technologies Sdn Bhd

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machine learning Use the world's most powerful Volta-based graphic card NVIDIA TITAN V GPUs for training and inference of deep neural networks. Solve deep ...

Metal Cloud Ready to use bare-metal servers with 100% dedicated hardware and GPUs that provides high performance computing power and reliability. - Cloud Storage ...

TITAN V and 64GB of RAM. Intermediate configuration. - 36GB of HBM2 GPU memory - 1TB NVMe SSD - Linux 64-Bit @ Windows 10 RM190/Day RM5500/30 Days T-Maria ...

servers with 100% dedicated hardware and GPUs that provides high performance computing power and reliability. - Cloud Storage Store your files in Twistcode's ...

performance computing power and reliability. SUBSCRIBE NOW SPECIFICATIONS GPU-based bare metal servers Accelerate your machine learning Use the world's

server from 01 March 2020 to 01 June 2020. T-MARIA-II is equipped with 3x NVIDIA TITAN V for only $2009/month during this promotion period. READ PREVIOUS

Metal Cloud Ready to use bare-metal servers with 100% dedicated hardware and GPUs that provides high performance computing power and reliability. - Cloud Storage

latent data such as deleted files, and other non-logical data types, such as memory dumps, swap files, temporary files, printer spool files, and metadata that

images are now possible superfast CPU & GPU. Which one is render, which one is real? All renderings are done using CPU, Quadro GV100 and Titan V

For the most parts, supercomputers are built with Central Processing Unit (CPU)s from AMD or Intel, or Graphic Processing Unit (GPU)s from Nvidia or AMD ...

Create and train your computer vision deep learning models — no coding or data science experience are required! - Company Company - About Us We started

Create and train your computer vision deep learning models — no coding or data science experience are required! - Company Company - About Us We started

servers with 100% dedicated hardware and GPUs that provides high performance computing power and reliability. - Cloud Storage Store your files in Twistcode's

Performance Computing & AI Solutions Provider Watch Video - Bare-metal GPU Cloud Promotion Enjoy up to 60% off for monthly subscription of T-MARIA-II

Fastvideo

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necessary to have NVIDIA GPU (Kepler, Maxwell, Pascal, Volta) installed to run the software on GPU. For the latest NVIDIA drivers visit NVIDIA Drivers Downloads

could be performed much faster on GPU. We've implemented that filter on NVIDIA GPU with Fastvideo SDK and it's working very fast even on laptop GPUs. On

and Image Processing SDK for NVIDIA GPUs. That software could work at maximum performance with full range of NVIDIA GPUs, starting from mobile Jetson to professional

compression of video streams on NVIDIA GPU. NVIDIA’s latest generation of GPUs based on the Kepler and Maxwell architectures, contain a hardware-based H

channel input data array from CPU or GPU memory - Output format: 24/48-bit output data array in CPU or GPU memory - High quality and high speed denoise algorithms

Input images: 8/10/12/14/16-bit per pixel DNG, PGM, byte array in CPU/GPU memory - Optional input image formats: Uncompressed DNG and Blackmagic Design Cinema

GPU-accelerated video processing pipeline that significantly outperforms conventional CPU video processing pipelines in widely spread transcoding applications. Video

the amount of data will be tripled. Trying to do that even on the fastest CPU we will see that performance for image processing would be far from realtime ...

generate significant amounts of raw data and it's a complicated problem how to perform image processing and save recorded data in realtime. One can choose simple

recording from high speed camera is a problem because of camera data rate. Usually data rate is more than 1000 MByte/s and one have to use RAID or SSD drives

applications and for high-speed imaging - Imaging solutions for GPU cloud computing - Algorithm design for high performance and high quality imaging - FFmpeg

GPU architecture. TK1 offers very high CPU and GPU performance to mobile computing. PC class imaging applications that require high performance, low energy

resize on-the-fly at 1000 fps on Tesla V100 August 2018 - Fastvideo SDK benchmark on professional NVIDIA Tesla V100 May, 2018 - JPEG2000 decoder on GPU

Here you can see more info about JPEG Resizer benchmarks on NVIDIA Tesla V100 and review for the latest solutions and benchmarks on GPU and FPGA. Recently

Products - CUDA JPEG Codec - CUDA JPEG Library - GPU Debayer for CUDA - CUDA Debayer Library - CUDA Resizer - GPU Denoiser - Fast CinemaDNG Processor - JPEG

realtime image processing on GPU Fastvideo is developing high quality innovative products for fast image and video processing on GPU. Taking the most from NVIDIA’s

Cloudalize Cloudalize, Nv.,

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EMEA DaaS Desktop-as-a-Service Design, compute & render without limits NVIDIA Quadro GPU cards Windows-powered virtual desktop Any CAD, CAE & BIM software

for cloud service providers (CSPs). Powered by NVIDIA GRID graphics virtualization software and the NVIDIA Tesla M60 GPU, the Cloudalize platform enables

businesses in the 21st century. For the Cloudalize team, cloud computing and GPUs are part of our DNA. Our cutting-edge technology is built on a highly sophisticated ...

and graphical performance than the more well-known central-processing unit (CPU) and allow Cloudalize to deliver unbeatable performance for businesses and ...

accessible businesses in the 21st century. For the Cloudalize team, cloud computing and GPUs are part of our DNA. Our cutting-edge technology is built on a

GPU Cloud delivers best-in-class cloud technologies powered by the latest GPUs on-premises or in a third party’s data centre with your hardware choice. ...

DEMO Private GPU Cloud Cloudalize delivers GPU Power on-premises for your enterprise or educational institution. Deliver best-in-class GPU-powered Cloud

minimise latency. The container scheduler takes into account GPU type and GPU memory resource requirements to ship the container on a worker node and exposes ...

REQUEST A DEMO Kubernetes GPU Cloud Kubernetes on Cloudalize Cloudalize’s Kubernetes GPU Cloud is a pre-configured GPU-based Kubernetes platform for

innovate with no guidelines, under budget pressure all with aging technology and CPU power. Cloudalize’s Cloud Platform is the answer. Cloudalize unifies, standardises

critical business asset: your data. We employ industry best practices and have ISO-certified data centres to ensure your data is protected against unauthorised

are my data and desktops located? - Password policy - Does Cloudalize backup my data? View all Data 6 Articles - Who is accountable for the data stored

Cloudalize Blog Applications 26/10/2018 Software Licensing in Cloud Computing In our new blog post, we address the most frequently asked questions about

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