Keywords AI
Fireworks AI vs Modal
Compare Fireworks AI and Modal side by side. Both are tools in the Inference & Compute category.
Quick Comparison
| Category | Inference & Compute | Inference & Compute |
| Pricing | Usage-based | Usage-based |
| Best For | Developers deploying open-source models who need fast, reliable, and cost-efficient inference | Python developers who want serverless GPU infrastructure without managing containers or Kubernetes |
| Website | fireworks.ai | modal.com |
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When to Choose Fireworks AI vs Modal
- Production inference for open-source LLMs
- Fine-tuned model deployment
- Low-latency AI applications
- Serverless model inference
- Data processing pipelines
- Batch jobs with GPU acceleration
About Fireworks AI
Fireworks AI is a generative AI inference platform that offers fast, cost-efficient model serving. The platform hosts popular open-source models and supports custom model deployments with optimized inference using proprietary serving technology. Fireworks specializes in compound AI systems with features like function calling, JSON mode, and grammar-guided generation that make it easy to build structured AI applications.
About Modal
Modal is a serverless cloud platform for running AI workloads with zero infrastructure management. Developers write Python code and Modal handles containerization, GPU provisioning, scaling, and scheduling automatically. The platform supports GPU-accelerated functions, scheduled jobs, web endpoints, and batch processing, making it particularly popular for ML pipelines, model serving, and data processing tasks.
What is Inference & Compute?
Platforms that provide GPU compute, model hosting, and inference APIs. These companies serve open-source and third-party models, offer optimized inference engines, and provide cloud GPU infrastructure for AI workloads.
Browse all Inference & Compute tools →