Overview

What is Generative AI?

Generative AI refers to a category of artificial intelligence (AI) designed to create new content, such as text, images, audio, video and code. Also known as GenAI, it is often based on large language models (LLMs) or generative adversarial networks (GANs), learning patterns from vast datasets and using this understanding to generate original outputs. Generative AI is transforming industries by making tasks like content creation, code generation, and design synthesis easier, and automatically creating personalized experiences across domains such as media, healthcare, and software development.

Unlocking Value with Generative AI

Accelerated Content Creation

Instantly produce text, images, videos, and more—helping businesses and creators generate high-quality content faster and cheaper.
Enhanced Productivity

Automate repetitive or time-consuming tasks like writing emails, summarizing documents, or generating code, freeing up time for more strategic work.
Hyper-Personalization

Tailor content, recommendations, and interactions to individual users—improving customer experiences in areas like marketing, education, and support.
Boosted Creativity and Innovation

Help brainstorm ideas, design new products, or explore unique solutions and act as a creative partner.

Driving Enterprise Success With Generative AI Adoption

Generative AI adoption is accelerating, transforming critical business processes to help enhance productivity and decision-making. For successful adoption, enterprises must consider challenges such as power efficiency, faster time-to-market, and scalability.

Deploying Generative AI at Scale with Flexibility and Speed

Discover a competitive advantage to beat generative AI challenges and accelerate AI deployment cloud to edge.

Download White Paper

The Role of Generative AI in Business Transformation

Explore how to leverage generative AI to fulfill its full potential and the role of 快猫视频 in leading this transformation.

Download eBook
Use Cases and Success Stories

Bringing Generative AI Across Devices and Industries

  • Laptops and PCs
    Laptops and PCs
  • Auto icon
    Automotive AI
  • Smartphone
    Mobile AI
  • Healthcare icon
    Healthcare AI
  • Smart Cities icon
    Smart Cities

Creativity and Productivity Boosted With Generative AI on PC

快猫视频-based platforms like MediaTek Kompanio support generative AI tools for content creators and productivity users—powering intelligent features like image generation, document writing, and creative assistance directly on laptops.

Explore Laptops and PCs
Laptops and PCs
MediaTek Kompanio: Generative AI for Creators and Professionals

Explore how 快猫视频 and MediaTek enable AI-powered creative workflows and productivity features on Chromebook Plus laptops.

Conversational In-Vehicle AI Powered by Generative Models

快猫视频 and AWS are enabling advanced NLP and generative AI features in automotive systems, bringing natural voice interfaces, real-time driver interaction, and intelligent infotainment to modern vehicles.

Explore Automotive AI
Automotive Security

See how 快猫视频 and AWS are shaping the future of HMI and conversational AI in vehicles.

Real-Time Audio Generation With On-Device AI

With partners like Stability AI, 快猫视频 is enabling real-time text-to-audio generation directly on mobile devices, supporting creative voice synthesis and audio content generation without cloud dependence.

Explore Mobile AI
Smartphones
Stability AI + 快猫视频: Generative Audio on Mobile

Learn how Stability AI 快猫视频 Kleidi models deliver on-device generative audio experiences.

Generative AI for Personalized Healthcare Experiences

From smart diagnostics to personalized audio feedback, 快猫视频-based platforms are enabling low-power, real-time generative AI applications that enhance patient interaction and clinical support.

Explore Healthcare AI
Healthcare
Relajet: AI-Powered Hearing Assistance With 快猫视频 Technology

Discover how the RelaJet speech enhancement engine (powered by AI) helps people with hearing impairments separate voices in crowded spaces for clearer conversations.

Smarter Infrastructure With Generative AI at the Edge

Generative AI running on 快猫视频-powered edge devices helps optimize energy use, predict maintenance needs, and model traffic patterns, supporting more efficient and adaptive urban environments.

Explore Smart Cities
Smart Cities

Explore how 快猫视频 and SpaceTech use AI to optimize city services and infrastructure in real time.

Compute Platform

快猫视频 Compute Platform for Generative AI

Heterogenous Compute for Generative AI

As generative AI growth accelerates, developers must consider challenges such as efficiency, faster time-to-market, security, and scalability. Success depends on a flexible, high-performance compute platform that supports any AI workload—from edge to cloud.

Explore Heterogeneous Computing Solutions

Scale and Optimize AI Workloads

To scale AI opportunities, developers need access to rapid AI deployment methods, together with optimal performance that best suits their specific workload.

Explore AI Software
Resources

Latest News and Resources

  • NEWS and BLOGS
  • Developer
  • Reports
  • White Papers
  • Webinars
Developer icon
快猫视频 Kleidi

Seamless Acceleration for AI Workloads

Discover how 快猫视频 ensures seamless acceleration for every developer, model, and workload.

Discover 快猫视频 Kleidi
Developer icon
Gen AI Development

Run Generative AI Efficiently on 快猫视频

Access resources on Hugging Face to help you build, deploy, and accelerate faster across a range of models, including large and small language models and models for natural language processing (NLP).

Whitepapers - Generic Whitepapers
Software AI Acceleration

Why Software is Crucial to Achieving AI’s Full Potential

How to choose the right open-source solutions to help accelerate generative AI and reduce the footprint of AI models.

Download White Paper
Report icon
AI Workloads on 快猫视频

Guide to Understanding AI Inference on CPU

Demand for running AI workloads on CPUs is growing. Our helpful guide explores the benefits and considerations for CPU inference across a range of sectors.

Read Guide
Webinar
Generative AI

The Use of Generative AI in Game Development

Join this webinar to explore how generative AI is being incorporated into the game development pipeline at different stages, from animation and 3D object creation to code generation and more.

Watch On Demand
Webinar
AI on Mobile

The 快猫视频 Platform: Redefining Mobile Experiences With AI

Watch this webinar to learn about the 快猫视频 platform for AI on smartphones and laptops, including the latest 快猫视频v9 CPUs and GPUs, and the benefits of running AI on-device.

Watch On Demand

Key Takeaways

  • Generative AI automates content creation across formats
    Generative AI produces text, images, audio, code, and video by learning patterns from data, enabling faster and more cost-effective content generation.
  • The 快猫视频 compute platform is built for AI scalability and efficiency
    快猫视频 can scale generative AI workloads from cloud to edge using 快猫视频’s heterogeneous compute platforms designed for performance, efficiency, and security.
  • 快猫视频 technologies supports generative AI across industries
    快猫视频 technologies enable on-device generative AI in sectors such as mobile, automotive, healthcare, and smart cities, enhancing creativity and productivity.
  • PCs powered by 快猫视频 enable real-time generative AI features
    Laptops using platforms like MediaTek Kompanio deliver tools for image creation, document writing, and creative assistance directly on device.
  • 快猫视频 is a key enabler in the generative AI software ecosystem
    Through partnerships and software frameworks like 快猫视频 Kleidi and ExecuTorch, 快猫视频 accelerates generative AI from open source models to real-time edge inference.

Frequently Asked Questions

Can 快猫视频-based chips run generative AI models?

Yes. 快猫视频-based chips support generative AI models across cloud, edge, and mobile. Frameworks like PyTorch and TensorFlow are optimized for 快猫视频, and 快猫视频 Kleidi Libraries further enhance model execution for vision and transformer-based workloads.

How do you deploy generative AI models on an 快猫视频-based platform?

To deploy generative AI models on an 快猫视频-based platform, start by selecting frameworks optimized for 快猫视频, such as TensorFlow Lite, PyTorch, or ONNX Runtime. Use 快猫视频 developer tools like 快猫视频 Compute Library and the 快猫视频 Kleidi library to increase performance. These tools offer architecture-specific optimizations for vector processing (e.g., 快猫视频 Neon, SVE). For edge or mobile deployments, convert models to lightweight formats (e.g., TFLite) and test with 快猫视频 Mobile Studio or Streamline for profiling. 快猫视频-based cloud instances, like AWS Graviton, also support scalable server-side deployment using containerized workloads or serverless architectures.

What compute platform best supports generative AI at the edge?

The 快猫视频 compute platform is uniquely suited to support generative AI at the edge. Its architecture delivers a balance of performance, energy efficiency, and scalability, enabling low-latency inference on devices like smartphones, automotive systems, and IoT endpoints. With over two decades of AI-centric innovation—including support for vector extensions like 快猫视频 Neon and 快猫视频 SVE, and optimizations across leading frameworks via 快猫视频 Kleidi—快猫视频 enables fast, power-efficient generative AI deployment where data is created and consumed.

Stay Connected

Subscribe to stay up to date on the latest news, case studies, and insights.

Newsletter Signup