Synexa offers a powerful, cost-effective serverless AI API platform enabling developers to deploy and scale AI models with a single line of code.

What is Synexa

Synexa is a cutting-edge AI platform designed to simplify the deployment and scaling of AI models through a serverless API. It enables developers and businesses to integrate advanced AI capabilities such as image and video generation, speech synthesis, and 3D asset creation with minimal setup. Synexa targets developers, startups, and enterprises seeking fast, reliable, and cost-efficient AI infrastructure without the overhead of managing hardware.

Features

  • One-line AI Model Deployment: Easily deploy AI models using a single line of code via HTTP, Node.js, Python, or curl, streamlining integration into existing workflows.
  • Extensive Model Gallery: Access over 100 production-ready AI models including state-of-the-art text-to-image, video generation, and 3D synthesis models like FLUX Pro, Wan 2.1, and Hunyuan3D 2.0.
  • Cost-effective GPU Pricing: Benefit from highly competitive pricing with A100 GPU usage at $2.49/hr, offering up to 62% savings compared to other providers.
  • Automatic Scaling: Synexa’s serverless infrastructure automatically scales to handle traffic spikes, scaling down to zero when idle to optimize costs.
  • High Performance & Low Latency: Enterprise-grade GPU infrastructure with A100s and H100s across multiple continents ensures sub-100ms latency and 99.9% uptime.

FAQs

How do I integrate Synexa into my application?

You can integrate Synexa using simple API calls with HTTP, Node.js, Python, or curl. The platform provides intuitive SDKs and comprehensive documentation to get started within minutes.

What pricing model does Synexa use?

Synexa charges based on GPU usage with a pay-as-you-go model. The cost is $2.49 per hour for A100 GPU usage, which is significantly cheaper than many competitors.

Do I need to manage any infrastructure?

No. Synexa offers a fully serverless experience with automatic scaling, so you don’t need to manage servers or worry about capacity planning.