GLOBAL GPU ACCELERATOR MARKET

INTRODUCTION

 GPU acceleration is the practice of speeding up processing-intensive processes by employing a graphics processing unit (GPU) in addition to a central processor unit (CPU). GPU-accelerated computing is advantageous in data-intensive applications such as AI and machine learning.

The use of a GPU (graphics processing unit) as a co-processor to speed CPUs for general-purpose scientific and engineering computing is known as GPU computing. The GPU speeds up CPU-based programmes by offloading part of the compute-intensive and time-consuming code.

GPU acceleration is a powerful tool that enables your video editing programme to generate effects more effectively by using the graphics card's capability.

GLOBAL GPU ACCELERATOR MARKET SIZE AND FORECAST

The Global GPU accelerator market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.

GLOBAL GPU ACCELERATOR MARKET NEW PRODUCT LAUNCH

NVIDIA Launches Accelerated Ethernet Platform for Hyperscale Generative AI. New NVIDIA Spectrum-X Networking Platform Combines NVIDIA Spectrum-4, BlueField-3 DPUs and Acceleration Software; World-Leading Cloud Service Providers Adopting Platform to Scale Out Generative AI Services.

A platform for accelerated networking that aims to boost the effectiveness and performance of Ethernet-based AI clouds.

The NVIDIA Spectrum-4 Ethernet switch and NVIDIA BlueField-3 DPU are tightly coupled, enabling NVIDIA Spectrum-X to provide 1.7x greater overall AI performance and power efficiency as well as consistent, predictable performance in multi-tenant scenarios.

NVIDIA software development kits (SDKs) and acceleration tools for Spectrum-X enable programmers to create software-defined, cloud-native AI applications.

Massive transformer-based generative AI models' run times are cut down by the supply of end-to-end capabilities. This enables network engineers, AI data scientists, and cloud service providers to enhance outcomes and hasten the process of making wise judgements.

NVIDIA is developing Israel-1, a hyperscale generative AI supercomputer to be installed in its Israeli data centre on Dell PowerEdge XE9680 servers based on the NVIDIA HGXTM H100 eight-GPU platform, BlueField-3 DPUs, and Spectrum-4 switches, as a blueprint and testbed for NVIDIA Spectrum-X reference designs.

The NVIDIA Spectrum-X networking technology has a wide range of applications in artificial intelligence. It is compatible with Ethernet-based stacks and completely standards-based Ethernet.

The platform's first 51Tb/sec Ethernet switch, named Spectrum-4, was created especially for AI networks. The Spectrum-4 switches, BlueField-3 DPUs, and NVIDIA LinkX optics collaborate with advanced RoCE extensions to provide a 400GbE network that is tailored for AI clouds from end to end.

In order to guarantee that tenants' AI workloads operate properly and consistently, NVIDIA Spectrum-X increases multi-tenancy with performance isolation. Additionally, it provides superior insight into AI performance since it has fully automated fabric validation and the ability to detect performance bottlenecks.

GLOBAL GPU ACCELERATOR MARKET KEY PLAYERS

• Advanced Micro Devices, Inc
• NVIDIA Corporation
• Intel Corporation
• Qualcomm Technologies, Inc.
• Advantech Co., Ltd.
• Achronix Semiconductor Corporation
• Micron Technology, Inc.

THIS GLOBAL GPU ACCELERATOR MARKET REPORT WILL ANSWER FOLLOWING QUESTIONS

1. How many GPU accelerators are manufactured per annum globally? Who are the sub-component suppliers in different regions?
2. Cost breakup of a Global GPU accelerator and key vendor selection criteria
3. Where is the GPU accelerator manufactured? What is the average margin per unit?
4. Market share of Global GPU accelerator market manufacturers and their upcoming products
5. Cost advantage for OEMs who manufacture Global GPU accelerator in-house
6. key predictions for next 5 years in Global GPU accelerator market
7. Average B-2-B GPU accelerator market price in all segments
8. Latest trends in GPU accelerator market, by every market segment
9. The market size (both volume and value) of the GPU accelerator market in 2023-2030 and every year in between?
10. Production breakup of GPU accelerator market, by suppliers and their OEM relationship