- Category
- Developer Tools
- Rank
- No. 3547Tools index
Previous survey · No. 3402 ·
- Pricing
- Open Source
- Type
- TOOL
- Use case
- Models: Train & Run
- GitHub
- 64 stars
- Latest release
- v0.2.18-runpod-hub
- Date
About
Reflex is a GGUF-native inference engine written in Rust and CUDA, built to minimize the time from process launch to first token on serverless GPU platforms. Its CUDA kernels are compiled ahead of time by nvcc and shipped in the binary rather than compiled at runtime, which avoids a multi-second startup delay on first use. It targets real-time agent decision loops rather than sustained server throughput.
At a glance
Reflex is a Rust and CUDA engine for running one local model request at a time. It compiles GPU kernels ahead of time, which makes it worth evaluating when a worker starts, answers a short request and exits before startup costs can be spread across many requests.
Good fit
Teams measuring first-result latency for short inference jobs on NVIDIA GPUs with a supported GGUF model.
Consider something else when
Choose a serving engine designed for batches if you need concurrent requests or sustained throughput.
Start here
On a supported test GPU, time a short prompt from process launch to first result. Compare it with your existing engine on the same model and hardware, with both warm and cold file caches.
Cost and requirements
The engine is MIT-licensed. Building it requires the CUDA toolkit, and running it requires a compatible NVIDIA GPU and supported GGUF weights. Rented GPU time is a separate cost.
Limits to know
Published timings depend on the model, GPU and cache state. Reflex handles one request at a time, and its HTTP adapter runs as a separate process.
Sources checked 2026-11-05. Source-based assessment.
Intel on Reflex
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