GPU (Graphics processing unit)

Graphics processing technology has evolved to deliver unique benefits in the world of computing. The latest graphics processing units (GPUs) unlock new possibilities in gaming, content creation, machine learning, and more. A graphics processing unit (GPU) is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device. GPUs are used in embedded systems, mobile phones, personal computers, workstations, and game consoles. Modern GPUs are very efficient at manipulating computer graphics and image processing. Their highly parallel structure makes them more efficient than general-purpose central processing units (CPUs) for algorithms that process large blocks of data in parallel. In a personal computer, a GPU can be present on a video card or embedded on the motherboard. In certain CPUs, they are embedded on the CPU die.

A GPU (Graphics Processor Unit) is a familiar term – it’s the component that enables video and sophisticated graphics, such as video games, to run on the PC. GPU Cloud Computing is a fast, stable, and elastic computing service based on GPU ideal for various scenarios such as deep learning training/inference, graphics processing, and scientific computing. GPU Cloud Computing can be managed just like a standard Cloud Virtual Machine instance with speed and ease. GPU is used together with a CPU to accelerate deep learning, analytics, and engineering applications for platforms ranging from artificial intelligence to cars, drones, robots, search engines, interactive speech, video recommendations and much more.

NVIDIA GeForce GTX 1070 1920 CUDA Cores

The NVIDIA GeForce GTX 1070 GPU was the first graphics processing unit within the GTX family with Pascal architecture. The GTX 1070 offers 8GB of GDDR5 memory, 1920 CUDA cores, and support for NVIDIA’s SLI HB Bridge. This GPU delivers game-changing performance, innovative technologies, and immersive, next-generation virtual reality.


  • Intel Xeon E5-2630L v2
  • Hex Core 2.40 GHz
  • NVIDIA GeForce GTX 1070 1920 CUDA Cores
  • RAM: 64 GB
  • Storage: 2 x SATA-SSD 120 GB
  • OS: Ubuntu 20.04
  • Bandwidth: 300 Mbps Unmetered


The NVIDIA GeForce GTX 1070 GPU performs substantially better in games and virtual reality than its predecessor, the GTX 970. Compared to the previous generation Maxwell family GPUs, the Pascal architecture delivers up to three times the speed, enabling 6.5 TFLOPs of overall performance! It can easily handle large workloads to support compute demanding new technologies, plus extreme gaming and rendering applications.


Pascal is built to meet the demands of next generation displays, including VR, ultra-high resolution, and multiple monitors. The GTX 1070 GPU has 1920 CUDA cores and a higher boost clock at 1683MHz compared to the previous generation. The GPU’s 8GB GDDR5 memory features a 256-bit bus delivering 256GB/sec of memory bandwidth.


Outfitted with 1920 CUDA cores, the GTX 1070 GPU has the ability to support DirectX Ray Tracing (DXR) to render shadows, lighting effects and reflections more realistically. The card is perfect for 60 frames/sec and 1440p gaming on multiple monitors and will provide even more power with NVIDIA’s SLI HB Bridge linking a second GPU to share the load. NVIDIA G-SYNC is also compatible with this graphics card for smooth, tear-free immersion.