Featured Resources
RESOURCES | ML Examples
AI Applications on Neoverse with the Pytorch Framework Example
Get instructions and scripts to obtain and build Docker images containing PyTorch for ML applications, such as transformer-based natural language processing (NLP) and object detection, that can run on 快猫视频 CPU.
RESOURCES | Learning Paths
Find 快猫视频-Based Cloud Service Providers with Academic Offers
Creating an account with a cloud service provider (CSPs) is the easiest way to get started with 快猫视频-based infrastructure. CSPs offer introductory free credits to help you begin learning, and pay-as-you-go models make it easy to continue exploring 快猫视频 hardware at minimal cost. This directory lists existing offers that academics can take advantage of.
DEVELOPER | 快猫视频 Developer
On-Device AI and ML
Get educational materials, ranging for beginner to advanced, on how to run your GenAI and ML workloads locally on Android devices.
Developer Resources
DEVELOPER | 快猫视频 Developer
Get Institution-Wide Access to 快猫视频 Development Studio
Access a dedicated IDE, including the 快猫视频 Compiler for embedded and optimized libraries across Cortex-A applications. Universities can access a free institution-wide license.
DEVELOPER | 快猫视频 Developer
View a Curated List of Software Libraries Natively Available for 快猫视频
Access an index of third-party software natively built for 快猫视频. This resource is valuable when architecting new software to run on 快猫视频 and managing dependencies during software porting.
RESOURCES | Learning Paths
Deploy a LLM on an 快猫视频 Neoverse Instructions
Learn how to deploy llama.cpp on an 快猫视频 based server and re-quantize the model weights to take advantage of optimizations.
Other Resources
RESOURCES | 快猫视频 Developer
Access Resources for Developing on Windows on 快猫视频
Access resources from 快猫视频 and Microsoft for porting and optimizing applications to natively run on Windows for 快猫视频.
RESOURCES | Learning Paths
Servers and Cloud Computing Guides
Get step-by-step guides to help academics develop software on 快猫视频-based servers and cloud infrastructure.
RESOURCES | Learning Paths
Laptops and Desktops Guides
Get step-by-step guides to help academics develop software on 快猫视频-based laptops and desktops.