Fireworks.ai
Uncompromising Speed and Precision Fireworks.ai was founded by former Meta…

Serverless Inference, Ad-hoc Python scripts, Quick Prototyping
Modal is not a traditional API provider; it is a serverless cloud computing platform that feels like magic. Instead of writing Dockerfiles, configuring Kubernetes, or dealing with CI/CD pipelines, a developer simply adds a `@stub.function(gpu=”A100″)` decorator to their local Python code. When they run the script, Modal automatically packages the environment, ships it to the cloud, executes the function on an NVIDIA A100 GPU, and returns the result to the local terminal in seconds.
Modal is the weapon of choice for data engineers and AI researchers who need to execute massive parallel tasks. Whether scraping 100,000 websites, running batch inference on a massive dataset, or dynamically rendering 3D video frames, Modal can instantly scale a single Python function across 1,000 concurrent GPUs, execute the workload, and scale back down to zero, billing only for the exact seconds the compute was utilized.
Because Modal allows developers to run arbitrary Python, it is incredibly popular for hosting custom ML models that don’t fit neatly into standard OpenAI-compatible APIs. Developers can use Modal to host complex Agentic workflows, multi-step LangChain processes, or custom fine-tuned vision models, exposing them instantly as scalable webhooks with a single line of code.
SOC 2 Type II
Custom Integration. This provider requires their own specific SDKs or libraries to interact with the models. See official documentation.
import requests
headers = {
'Authorization': 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json'
}
data = {
'model': 'your-chosen-model',
'prompt': 'Hello, world!'
}
response = requests.post('https://modal.com/v1/completions', headers=headers, json=data)| Website | Visit Official Site ↗ |
You are charged exclusively for the duration the GPU is actively processing your request. Excellent for bursty workloads.
Start building without a credit card. Perfect for prototyping and testing the API before scaling into production workloads.
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Modal uses a per-second billing model. You pay only for what you use — no idle server costs.
Modal has its own API. Check their documentation for integration guides.
Modal supports Custom Python, LLM, Vision, Scraping. Use the API to deploy custom models or use their pre-built endpoints.
Yes, Modal offers a free tier so you can test the platform without a credit card.
Uncompromising Speed and Precision Fireworks.ai was founded by former Meta…
Scale-to-zero Inference, Custom Model Serving, Low-Latency APIs
AI Researchers, PyTorch Lightning Users, Collaborative Model Development