Vendor: VeriSilicon Microelectronics (Shanghai) Co., Ltd. Category: GPU

AI-Capable 3D GPU

Vivante AI-GPU augments the stunning 3D graphics rendering capabilities of the Vivante 3D engines with a dedicated Neural Network…

Contact Provider Request Datasheet

Overview

Vivante AI-GPU augments the stunning 3D graphics rendering capabilities of the Vivante 3D engines with a dedicated Neural Network Engine (NN) and Tensor Processing Fabric to support advanced capabilities such as computer vision and deep neural networks.

Key features

  • The AI-GPU cores come fully packed with cutting-edge features accessible through the latest industry standard APIs, including Vulkan®, OpenGL® ES, OpenVX™, OpenCL®, DirectX, and OpenVG™
  • It also supports the latest AI and ML frameworks and APIs, including TensorFlow, TensorFlow Lite, Caffe, Caffe2, Darknet, Android NN, ONNX.
  • Building on success across a wide range of market segments, Vivante support for operating systems now includes the latest Android, ChromeOS, GoogleTV, Linux, Windows, QNX, Green Hills, and other ISV platforms.

Specifications

Identity

Part Number
GC8000L-VIP
Vendor
VeriSilicon Microelectronics (Shanghai) Co., Ltd.

Provider

VeriSilicon Microelectronics (Shanghai) Co., Ltd.
HQ: USA
VeriSilicon Microelectronics (Shanghai) Co., Ltd. (VeriSilicon, 688521.SH) is committed to providing customers with platform-based, all-round, one-stop custom silicon services and semiconductor IP licensing services leveraging its in-house semiconductor IP. Under the unique "Silicon Platform as a Service" (SiPaaS) business model, depending on the comprehensive IP portfolio, VeriSilicon can create silicon products from definition to test and package in a short period of time, and provides high performance and cost-efficient semiconductor alternative products for fabless, IDM, system vendors (OEM/ODM), large internet companies and cloud service provider, etc. VeriSilicon's business covers consumer electronics, automotive electronics, computer and peripheral, industry, data processing, Internet of Things (IoT) and other applications. VeriSilicon presents a variety of customized silicon solutions, including high-definition video, high-definition audio and voice, in-vehicle infotainment, video surveillance, IoT connectivity, smart wearable, high-end application processor, video transcoding acceleration and intelligent pixel processing, etc. In addition, VeriSilicon has six types of in-house processor IPs, namely GPU IP, NPU IP, VPU IP, DSP IP, ISP IP and Display Processor IP, as well as more than 1,400 analog and mixed signal IPs and RF IPs. Founded in 2001 and headquartered in Shanghai, China, VeriSilicon has 7 design and R&D centers in China and the United States, as well as 11 sales and customer service offices worldwide. VeriSilicon currently has more than 1,200 employees.
Contact VeriSilicon Microelectronics (Shanghai) Co., Ltd.

Learn more about GPU IP core

Tape-out Risk in the Age of Edge AI: The Case for GPU IP

A full SoC tape-out at 5nm approaches $400M in fully loaded, non-recurring engineering and mask costs. At 3nm, estimates push past $600M. Every IP block on that die is a commitment to a set of assumptions about what the silicon will need to do. In AI, those assumptions have a shorter shelf life than they used to.

What Does a GPU Have to Do With Automotive Security?

The automotive industry is undergoing the most significant transformation since the advent of electronics in cars. Vehicles are becoming software-defined, connected, AI-driven, and continuously updated. This evolution brings extraordinary new capability – but it also brings greater levels of cybersecurity and functional-safety risks.

How Alternate Geometry Processing Enables Better Multi-Core GPU Scaling

Scaling GPU performance across multiple cores sounds simple in theory: add more cores, get more performance. In practice, it’s one of the toughest challenges in graphics architecture. While some workloads scale well thanks to their independent nature, some workloads, especially geometry processing, introduce order dependencies that make linear performance scaling a tricky problem to solve for every GPU architecture in the industry.

NVIDIA GPU Confidential Computing Demystified

In this paper, the authors aim to demystify the implementation of NVIDIA GPU-CC system by piecing together the fragmented and incomplete information disclosed from various sources.

Frequently asked questions about GPU IP cores

What is AI-Capable 3D GPU?

AI-Capable 3D GPU is a GPU IP core from VeriSilicon Microelectronics (Shanghai) Co., Ltd. listed on Semi IP Hub.

How should engineers evaluate this GPU?

Engineers should review the overview, key features, supported foundries and nodes, maturity, deliverables, and provider information before shortlisting this GPU IP.

Can this semiconductor IP be compared with similar products?

Yes. Buyers can compare this product with similar semiconductor IP cores or IP families based on category, provider, process options, and structured technical specifications.

×
Semiconductor IP