Description
Synexa is a serverless inference platform for developers who want to run AI models without managing GPU infrastructure themselves. A single HTTP request, with SDKs for Python and Node or a plain curl call, sends a model name and input to Synexa's API and gets a prediction back; there is no server to provision, patch or scale, and no cluster to keep warm between requests.
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The platform hosts more than 100 production-ready models, including image generation and editing (such as Google's Nano Banana Pro), video generation (including Veo 3.1, with higher-fidelity output and context-aware audio), fast text-to-image models (Z-Image Turbo, a 6-billion-parameter model), and 3D asset synthesis (Hunyuan3D 2.0), alongside image restoration, image captioning, speech generation and model fine-tuning. New models are added on a rolling weekly basis, and the model gallery is searchable and browsable from the site so a developer can compare options before committing code to one model.
Infrastructure runs on A100 and H100 GPUs across three continents, with automatic scaling that the company says scales to zero when idle and up without limit during traffic spikes, so a user pays only for what is used rather than for a reserved instance sitting idle. Synexa states sub-100ms latency from its routing and a 99.9% uptime target, and markets its inference engine as up to 4x faster than typical diffusion-model serving, with sub-second generation for models like FLUX.
On pricing, Synexa compares its A100 rate, $2.49 an hour, against Fal.ai at $3.99 an hour and Replicate at $5.04 an hour, positioning itself as the lower-cost option for the same class of GPU. The product is aimed at developers and small teams building applications on top of generative AI models rather than at end users looking for a finished creative app; it does not offer its own custom model training beyond running and fine-tuning the models already in its catalog, and integration is meant to take minutes rather than a dedicated infrastructure project.
- CategoryMLOps & Model Deployment
- Pricing ModelUsage-based
- DeploymentCloud
- PlatformsWeb
Synexa's Core Features
One-line API calls to run AI models, no infrastructure to manage
100+ production-ready models for image, video, speech and 3D generation
Image restoration and image captioning models
Model fine-tuning support
Runs on A100 and H100 GPUs across three continents
Automatic scaling, including scale-to-zero when idle
Python, Node and REST SDKs
New models added on a rolling basis via a searchable model gallery
Pay-per-use pricing, priced below some competitor GPU rates
How to use Synexa?
Get an API key: sign up and get your Synexa API token
Pick a model: browse the model gallery for image, video, speech or 3D models
Call the API: send a POST request with the model name and input, using curl, Python or Node
Run predictions: get results back over the API without managing servers
Scale automatically: let Synexa scale GPU capacity up or down with your traffic
Synexa's Use Cases
- Image generation app
- Video generation
- Model fine-tuning
- Speech generation
