This open beta access of VideoGen is up to 49% faster and 78% more cost-effective than competing platforms, thanks to GMI Cloud's state-of-the-art optimizations and infrastructure. The platform supports both text-to-video and image-to-video generation across leading models, including:

• WAN.ai
• Kling
• Google Veo3
• Luma-Ray2

"We believe content creation should be limited only by imagination—not platform constraints or pricing walls," said Alex Yeh, CEO of GMI Cloud. "VideoGen is built to empower developers with the flexibility and speed needed to go from idea to video, without compromise."

New models are added constantly, and users can switch between them using a unified SDK and billing system—no more complex integrations or fragmented tools.

Features include:

• Single API endpoint with token-based authentication
• Built-in task tracking and dashboard management
• Negative prompting to reduce low-quality generations
• Concurrency handling and stable queuing
• TeaCache™ for performance optimization

GMI Cloud's VideoGen roadmap includes LLM-powered prompt extensions to simplify complex video generation, ComfyUI support for building visual workflows, and a centralized RAG system for managing media and prompt assets. Future releases will also introduce fine-tuning plugins, a Benchmark Arena for cross-model comparisons, and advanced observability tools to provide deeper insight into performance and generation quality.

Recognized as part of NVIDIA's Reference Platform Cloud, GMI Cloud's infrastructure delivers low-latency, high-availability compute that powers leading AI applications. With VideoGen, GMI offers unmatched transparency and performance for teams building the next generation of video content. To learn more about GMI Cloud's open beta access of VideoGen, click here.

GMI Cloud also invites developers and creators to join its growing community via Discord to explore, build, and share video workflows.