Klang Partners with Google Cloud for AI-Driven MMO SEED

Mar 17, 2025
Klang has announced a partnership with Google Cloud to enhance its AI-driven simulation game, SEED, using advanced cloud technologies.

Klang has announced a strategic partnership with Google Cloud to power its AI-driven simulation game, SEED, announced in a press release. This collaboration aims to create a dynamic virtual world using Google Cloud's technologies such as Google Kubernetes Engine, Vertex AI, and Gemini models.

SEED is a massively multiplayer online (MMO) experience where AI-powered virtual inhabitants, known as Seedlings, live and evolve in real-time. The game leverages Google Cloud's infrastructure to ensure scalability and reliability, allowing for seamless growth and continuous operation of its complex ecosystem.

Klang's CEO, Mundi Vondi, highlighted the ambition to build the largest simulation of humanity's future, with detailed environments and interactive Seedlings. Google Cloud's technology enables these Seedlings to exhibit unique personalities and form relationships, enhancing the in-game experience through natural conversations and persistent interactions.

The partnership also includes Google Cloud Consulting services to optimize generative AI solutions for cost and scalability, ensuring SEED delivers an unparalleled AI-powered experience.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Enterprise AI Stefan Hof AI Brief AI Brief (X)
Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

Guide
Hosted Speech Recognition APIs

Hosted Speech Recognition APIs

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.