Gamehaus Unveils Gamehaus 2.0 for Predictable Game Publishing
Gamehaus Holdings Inc. has announced Gamehaus 2.0, a global, lifecycle-integrated publishing model designed to make hit creation more predictable, announced in a press release. This new strategy combines an outside-in approach, integrating the best-fit creative teams at each stage of a game's lifecycle, with an inside-out engine known as the Gamehaus Business System (GBS). The GBS standardizes and scales enablement across discovery, development, launch, and live operations.
Gamehaus 2.0 aims to address the industry's challenge of unpredictable hits by breaking data silos and efficiently integrating supply chain resources throughout the game lifecycle. The model is embedded throughout the entire game lifecycle, providing end-to-end oversight from concept to commercialization. This approach allows Gamehaus to manage channels and user acquisition, acting as the organizer of traffic during the publishing and promotion stages.
Additionally, Gamehaus is advancing AI integration by embedding AI technologies such as AIGC and AI Agents into the GBS platform. This integration aims to build a digital infrastructure for the game industry, enhancing the discovery, empowerment, and amplification processes. Gamehaus 2.0 aspires to reshape global standards in creative game production, ensuring each success in the global casual-mobile publishing value chain is traceable and teachable.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Daily AI Brief.
Also, consider following us on social media:
More from AI in Game Development
Oct 13 Epic Games Reportedly Orders AI-First Development for Disney Shooter Oct 7 Google Labs Launches Playground for AI Game Creation Sep 22 Meshy Details Mora Architecture and Releases Meshy 7.1 Sep 19 Generative AI Use Reaches 85.8% Among Surveyed Japanese Game Developers Aug 27 Tencent Games Motus Shows AI Animation Pipeline at GamescomDaily AI Brief
Daily report covering major AI developments and industry news, with both top stories and complete market updates
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 moreYou may also like
HG Insights Launches Contextual Intelligence Platform
Google Labs Launches Playground for AI Game Creation
The Engine Will Launch AI Content and Sales Platform on October 15
GUDEA Uses AI to Track Online Narratives Before Crises Spread
Hi3D Launches AI Agent for 3D Creation
Daily AI Brief: the AI news that matters, in your inbox.