Spotlight

Case Study Microsoft

How Microsoft scaled global content delivery

Find out how Microsoft used Gcore to strengthen delivery across regions.

case study ProSieben GNTM app TOPSHOT

How ProSieben scaled GNTM's app TOPSHOT

Explore how ProSieben brought real-time AI portraits to GNTM's audience.

case study Higgsfield

How Higgsfield scaled AI video generation

See how Gcore helped Higgsfield scale with GPUs and Managed Kubernetes.

case study Fawkes Games

How Fawkes Games stopped DDoS attacks

See how Gcore protected gaming servers from massive DDoS threats without disrupting gameplay.

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WebAssembly for AI Inference

WebAssembly for AI Inference

Discover how we ran an AI image classification model on our CDN infrastructure using WebAssembly.

For innovators exploring the intersection of AI and edge computing, this guide reveals the potential of WebAssembly for AI inference. Learn how to overcome challenges, push technological boundaries, and harness global CDN networks to power advanced AI workloads.

What’s Inside:

  • Insights into running AI inference on Gcore’s WebAssembly-at-the-edge environment, FastEdge.
  • Challenges and solutions for adapting edge computing to AI workloads.
  • The role of MobileNet V2 and OpenVINO in enabling lightweight image classification.
  • Performance metrics, including latency and resource utilization.
  • Practical applications and opportunities for experimentation with edge-based AI.

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