v2.0 Production Ready | Built with Rust 🦀

PRONAX
AI ENGINE

Sub-millisecond AI inference. Memory-safe. Production-grade.

Next-generation multimodal AI infrastructure crafted in Rust. Featuring native GGUF support, CUDA/Metal acceleration, and OpenAI-compatible APIs.

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System Architecture

5-layer architecture designed for maximum performance and scalability

🌐 API Gateway Layer

OpenAI Compatible • Anthropic Claude • WebSocket

REST WS gRPC

🔐 Intelligence Middleware

Auth Engine • Rate Limiter • KV Cache • Load Balancer

JWT Redis Queue

🧠 Neural Model Registry

Gemma 4 • DeepSeek 3 • LLaMA 4 • Mistral 3 • BERT

GGUF ONNX SafeTensors

⚙️ ML Execution Engine

GGML Core • CUDA Kernels • Metal GPU • Vulkan Compute

CUDA Metal Vulkan

🖥️ Hardware Abstraction Layer

GPU Detection • CPU Optimization • Memory Management

NVIDIA Apple Silicon AMD

Feature Matrix

Complete AI infrastructure capabilities

🧠

Gemma 4 Multimodal

Audio + Vision + Text native support with state-of-the-art performance

Production Ready
🔍

DeepSeek 3 OCR

Document understanding with layout preservation and structured output

Production Ready
🦙

LLaMA 4 Vision

Meta's latest with advanced vision capabilities and reasoning

Production Ready
⚡

Smart KV Caching

10x faster sequential inference with intelligent memory management

Optimized
🎯

GGUF/GGML Native

Zero-overhead model format integration with custom quantization

Core Feature
🔌

OpenAI Compatible

100% API compatible drop-in replacement for seamless migration

Compatible

Performance Benchmarks

Real-world inference metrics on production hardware

Inference Performance

Model Size Tokens/sec Latency (TTFT) Platform
Gemma-4-9B Q4_K_M 85 tok/s 45ms RTX 4090
DeepSeek-3-8B Q4_K_M 92 tok/s 38ms RTX 4090
LLaMA-4-8B Q4_K_M 88 tok/s 42ms RTX 4090
Gemma-4-4B Q4_K_M 120 tok/s 25ms M3 Max
BERT-Embed Base 2,500 tok/s 5ms CPU (16 cores)

Live Demo

See Pronax AI in action with real-time inference

pronax-ai-demo — zsh
➜ ~ pronax --version
pronax-ai v2.0.1-production (rust 1.75, cuda 12.2, metal 3.0)
➜ ~ pronax pull gemma-4-9b-it-q4_k_m.gguf
📦 Downloading gemma-4-9b-it-q4_k_m.gguf...
✓ Model downloaded (5.2 GB) in 45s
➜ ~ pronax serve --model gemma-4-9b-it --port 8080
🚀 Initializing Pronax AI Server...
[INFO] GPU: NVIDIA RTX 4090 (24GB VRAM)
[INFO] CUDA: 12.2 | Tensor Cores: Enabled
[INFO] KV Cache: Smart caching enabled
✓ Server ready on http://localhost:8080
➜ ~ curl -X POST http://localhost:8080/v1/chat/completions \\ -H "Content-Type: application/json" \\ -d '{"model":"gemma-4","messages":[{"role":"user","content":"Explain quantum computing"}]}'
ASSISTANT | streaming...