Theta EdgeCloud Partners with VentureMind AI for Web3 Robotics Integration

Leveraging the Theta Edge Network for efficient AI model deployment and real-time video processing capabilities

  • Theta Labs announces partnership with VentureMind AI to integrate EdgeCloud services into their ecosystem
  • VentureMind AI platform combines AI tools, NFT trading, and robotics control powered by Theta edge nodes
  • EdgeCloud infrastructure currently serves major academic institutions including Seoul National University and KAIST
  • Partnership focuses on AI compute scaling, robotics control, and video processing optimization
  • VentureMind AI launched in October 2023, adding to Theta’s growing list of enterprise partnerships

Theta EdgeCloud Expands Reach with VentureMind AI Integration

Theta Labs has formed a strategic partnership with VentureMind AI to implement its EdgeCloud technology across the latter’s AI and robotics ecosystem, marking another significant expansion for the decentralized computing platform.

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The collaboration enables VentureMind AI to utilize Theta’s decentralized infrastructure for AI processing, video rendering, and low-latency robotics control operations.

Multi-faceted Platform Integration

VentureMind AI’s platform introduces a novel combination of technologies, allowing users to:
– Create and trade AI tools as NFTs
– Control remote robotics systems through Theta edge nodes
– Build tokenized communities with autonomous agents
– Manage market-making operations

The platform’s robotics capabilities are supported by hardware from Unitree Robotics, with Theta’s edge nodes providing the necessary low-latency infrastructure for real-time control.

Growing Academic and Enterprise Adoption

Since its June 2023 launch, EdgeCloud has secured partnerships with prominent academic institutions, including Seoul National University, University of Oregon, Korea.edu/sites/en/index.do”>Korea University, and KAIST.

The platform has also attracted enterprise clients, including GenAI search provider Liner and e-learning platform Jamcoding, demonstrating its versatility across different sectors.

Implementation Details

VentureMind AI’s integration with EdgeCloud encompasses four primary areas:

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1. AI computation scaling
2. Real-time robotics control through edge nodes
3. Video processing optimization for AI and surveillance
4. Web3 infrastructure for NFTs and autonomous tools

Platform Development and Leadership

Founded by Jermaine Anugwom, VentureMind AI evolved from an initial focus on specialized AI tools to incorporate blockchain technology and remote-controlled robotics capabilities.

The platform’s October 2023 launch represents a significant milestone in combining AI, blockchain, and robotics technologies within a single ecosystem, supported by Theta’s decentralized infrastructure.

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