Lightning LitServe vs NVIDIA Triton Inference Server

Lightning LitServe

LitServe is a lightweight and customizable inference server focused on serving models with minimal overhead. It is fairly minimalistic but flexible and self-contained.

Like Triton, LitServe is task-agnostic, meaning it is designed to balance the needs of vision models with NLP, audio, and tabular models. This means it's not as feature-rich for computer vision applications (for example, it doesn't have any built-in features for streaming video). It is also highly focused on model serving without an abstraction layer like Workflows (offered by Roboflow Inference) for model chaining and integrations with other tools.

Choose LitServe if: you are working on general-purpose machine learningtasks and were previously considering rolling your own server but wanta more featureful starting point.

NVIDIA Triton Inference Server

Triton is a powerhouse tool for machine learning experts to deploy ML models at scale. Its primary focus is on extremely optimized pipelines that run efficiently on NVIDIA hardware. It can be tough to use, tradingoff simplicity and a quick development cycle for raw speed and isgeared towards expert users. It can chain models together, but doingso is a rigid and manual process.

Make any camera an AI camera with Inference

Inference turns any computer or edge device into a command center for your computer vision projects.

  • 🛠️ Self-host your own fine-tuned models
  • 🧠 Access the latest and greatest foundation models (like Florence-2, CLIP, and SAM2)
  • 🤝 Use Workflows to track, count, time, measure, and visualize
  • 👁️ Combine ML with traditional CV methods (like OCR, Barcode Reading, QR, and template matching)
  • 📈 Monitor, record, and analyze predictions
  • 🎥 Manage cameras and video streams
  • 📬 Send notifications when events happen
  • 🛜 Connect with external systems and APIs
  • 🔗 Extend with your own code and models
  • 🚀 Deploy production systems at scale

Get started today.

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