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AI Cloud
Core inference acceleration engine optimizes model performance with millisecond-level response.
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Empowering developers to seamlessly integrate AI capabilities and applications with one-click.
APIs for language, speech, image, video, and more scenarios. Pay-as-you-go, simplifying application development.
Host fine-tuned large language models with no need to manage underlying resources, reducing maintenance costs.
Boost inference efficiency for enterprise models, enhancing business operations.
Customized for enterprise scenarios, removing complexities of deployment, optimization, and resource management.
QwQ-32B-Preview, Llama-3.3-70B-Instruct, InternVL2-26B...
fish-speech-1.5, fish-speech-1.4, GPT-SoVITS...
Flux.1[pro], stable-diffusion-3.5-large, stable-diffusion-3-medium...
LTX-Video, HunyuanVideo, mochi-1-preview
10X+ Speed Improvement
Llama2 70B model, System Prompt scenario, compared to vLLM.
1s Image Generation
SDXL model compared to PyTorch.
100ms Speech Generation
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100+ Serverless Models
.
100B+ Tokens/day
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2M+ Registered Users
.
46% Language Models
Compared to Qwen2.5-72B.
64% Cost Reduction for Image Models
Compared to Flux.1 Dev.
52% Lower Hosting Costs for Clients
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Provides efficient and intelligent content generation and personalized recommendation services, supports quick model switching, accelerates AI generation speed, optimizes GPU computing efficiency, helps platforms overcome performance bottlenecks, and comprehensively enhances user experience and operational efficiency.
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