whereismyai
Reflex
Reflex is an inference engine that executes GGUF models on NVIDIA GPUs using Rust and CUDA.
Reflex is a local inference engine built for cold starts and real-time decision loops. It processes one request at a time with no batching or internal network server. It supports GGUF format checkpoints across multiple architectures including Qwen3, Llama, Mistral, and DeepSeek-V2. Weights are held as f16 on the GPU by default or kept quantized with a flag. It is designed for single-shot work like tool calls and classifications on NVIDIA GPUs.
Reflex at a glance
- Best for: Software engineer
- Runs on: Web, Docker, AWS, Kubernetes, API, self-hosted, open source
- Pricing: Free
- Released: September 2026
- Category: AI coding tool
- Website: github.com/lateos-ai/reflex
Key features
- Compiles CUDA kernels ahead of time
- Supports GGUF model files
- Processes single requests without batching
- Provides an OpenAI-compatible HTTP sidecar
- Offers C FFI and local IPC embeddings
- Keeps weights as f16 on the GPU by default
Use it for
- Run bursty single-shot inference on serverless GPUs
- Execute real-time agent decision loops
- Perform classifications and tool calls
Alternatives to Reflex
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- TensorRT — Speeds up inference by 36X compared to CPU-only platforms.
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- Shimmy — Runs local AI models with zero Python or C++ dependencies.
- Infernix — Serves massive Qwen models quickly on a single consumer GPU with advanced caching.
- Resin — Builds high-performance inference engines for complex models like DeepSeek and GLM.
- Narwhal — It automatically hot-swaps prefill and decode roles without reloading model weights.
- fal — Access 1,000+ generative models and high-performance serverless GPUs.
- GPUStack — Unifies AI model serving and GPU compute management across heterogeneous hardware.
- audio.cpp — Runs modern audio models locally with high-performance, native C++ execution.
- AirLLM — Runs massive 70B+ parameter models on small 4GB consumer GPUs.
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