GPU Insights | Sumble

What is GPU?

A GPU (Graphics Processing Unit) 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, and their highly parallel structure makes them more effective than general-purpose CPUs for algorithms where processing of large blocks of data is done in parallel. This makes them suitable for machine learning, video editing, and gaming.

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What other technologies are related to GPU?

GPU Competitor Technologies

CPU

CPUs and GPUs both perform processing tasks, but CPUs are more general-purpose while GPUs are specialized for parallel processing, making them competitors in certain application domains.

mentioned alongside GPU in 40% (2.6k) of relevant job posts

NPU

NPUs (Neural Processing Units) are designed for AI and machine learning tasks, competing with GPUs in these specific domains.

mentioned alongside GPU in 69% (486) of relevant job posts

TPU

TPUs (Tensor Processing Units) are another type of AI accelerator, specifically designed by Google for machine learning tasks, competing with GPUs in that area.

mentioned alongside GPU in 56% (535) of relevant job posts

DPU

DPUs (Data Processing Units) are specialized processors for data management and networking tasks, offering similar offload capabilities for networking and storage as GPUs for compute, making them a competitor in optimized datacenter workloads.

mentioned alongside GPU in 45% (229) of relevant job posts

VPU

VPUs (Vision Processing Units) are specialized processors for computer vision tasks, competing with GPUs, especially in embedded systems and edge computing.

mentioned alongside GPU in 75% (124) of relevant job posts

FPGA

FPGAs (Field-Programmable Gate Arrays) can be configured to perform specialized processing tasks, offering an alternative to GPUs in some applications.

mentioned alongside GPU in 3% (1.3k) of relevant job posts

DSP

DSPs (Digital Signal Processors) are specialized processors for signal processing, competing with GPUs in certain application domains like audio and video processing.

mentioned alongside GPU in 4% (771) of relevant job posts

APU

APUs (Accelerated Processing Units) integrate a CPU and a GPU on the same die. They compete with discrete GPUs in some market segments.

mentioned alongside GPU in 14% (114) of relevant job posts

GPU Complementary Technologies

CUDA

CUDA is a parallel computing platform and programming model developed by NVIDIA. It is complementary to GPUs as it allows developers to utilize the processing power of NVIDIA GPUs.

mentioned alongside GPU in 6% (1.6k) of relevant job posts

HPC

High-Performance Computing (HPC) leverages GPUs as accelerators for computationally intensive tasks, making it a complementary technology.

mentioned alongside GPU in 8% (821) of relevant job posts

CPU/GPU coherency

CPU/GPU coherency allows the CPU and GPU to share memory, making heterogeneous computing much easier and improving performance.

mentioned alongside GPU in 98% (65) of relevant job posts