GMI Cloud, an AI-native GPU cloud provider, has officially launched the open beta of VideoGen, its high-performance video generation platform designed for developers, creators, and enterprises seeking greater flexibility, speed, and control in producing AI-generated video content at scale.
Amid growing demand for generative video solutions, GMI’s VideoGen sets itself apart by addressing common industry limitations such as slow rendering, rigid pricing, and limited model accessibility. With multi-model support and developer-first infrastructure, VideoGen delivers up to 49% faster performance and 78% lower costs compared to existing platforms.
“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.”
VideoGen supports both text-to-video and image-to-video capabilities across top-tier models including WAN.ai, Kling, Google Veo3, and Luma-Ray2. Users can easily switch between models via a unified SDK and billing system, eliminating integration hassles.
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Key features include a single API endpoint with token-based authentication, built-in task tracking, negative prompting for quality control, and concurrency handling with stable queuing. Its proprietary TeaCache™ boosts performance, while upcoming enhancements on the roadmap include LLM-based prompt extensions, ComfyUI integration, a centralized RAG system for asset management, and tools for fine-tuning, benchmarking, and advanced observability.
As part of NVIDIA’s Reference Platform Cloud, GMI Cloud ensures low-latency, high-availability infrastructure—offering a robust foundation for teams developing the next wave of generative video innovation.