Supercharge Sovereign AI on AMD MI300X
Optimize language, diffusion, and Mixture-of-Experts models with in-house AMD kernels. Paiton pairs FP8 precision, tensor/data parallelism, and vLLM-native execution to beat NVIDIA H200/B200 on 1M-token workloads while running entirely on AMD infrastructure.
Latest Breakthrough
Paiton MoE kernels on MI300X beat NVIDIA H200/B200 at 1M tokens
Our new mixture-of-experts runtime delivers higher throughput and lower cost on AMD hardware without compromising sovereignty. See how we close the trillion-token gap.
Advanced Paiton Features
Real Performance Results
See how Paiton delivers exceptional performance improvements across different model types and sizes.
Live Performance Demonstration
Watch Paiton dramatically accelerate Llama-3.1-405B startup and inference performance compared to standard implementations
Demonstration: Dramatically faster startup and sustained performance improvements with Paiton on AMD MI300X
Llama-3.1-405B
Performance BoostDeepseek & Gemma
Language ModelsFP8 Precision
Inference SpeedNVIDIA H200
with MI300XWhy Choose Paiton?
Unlock the full potential of AMD GPUs for AI inference with our enterprise-grade optimization platform
Lightning Fast Performance
Achieve up to 10x faster inference speeds with our advanced AMD GPU optimizations and intelligent kernel fusion.
Optimization Technology
Transform any existing model with our optimization engine and custom AMD kernels. Weights stay unchanged - we create optimized .so files that work with your existing models.
Custom AMD Kernels
In-house written kernels and operators specifically designed for AMD architecture. Proven to beat NVIDIA H200 performance in production environments.
Supported AI Models
Paiton optimizes virtually any AI model architecture. From popular language models to cutting-edge vision models, we've already optimized hundreds of models and can optimize yours too.
Language Models
Already Optimized
Instant Support
All Llama variants, Qwen models, Deepseek, Gemma, Mistral, CodeLlama and any standard transformer architecture
Vision & Diffusion
Already Optimized
Instant Support
All Stable Diffusion variants, Flux models, ControlNet and standard diffusion architectures
Advanced Models
Custom Optimization
Custom Work Required
We can optimize any architecture—custom kernels for MoE, MLA, and proprietary attention patterns included.
Universal Model Support
If it's a neural network, we can optimize it. Paiton's optimization engine works with any model architecture. Standard models get instant optimization, while advanced architectures receive custom kernel development.
Instant Optimization
Standard transformer and diffusion architectures
Custom Optimization
Advanced architectures requiring kernel development
Don't see your model? Contact us - we love optimization challenges!
Performance Results & Case Studies
Read detailed benchmarks, case studies, and performance analysis from our Paiton optimization work including Llama-3.1-405B results and NVIDIA H200 comparisons
View Paiton Performance BlogHow It Works
Get your AI models running on AMD GPUs in three simple steps
Import Your Model
Send us your existing AI models (language models, vision models) from any framework. We'll optimize them with our custom AMD kernels and operators.
Optimization Engine
Our optimization engine creates custom .so files with in-house written kernels specifically designed for AMD GPU architectures. Your model weights remain unchanged.
Deploy & Scale
Deploy your optimized models with custom AMD kernels, full vLLM support, and scale inference workloads achieving over 50% performance improvements.
Advanced Technical Capabilities
Paiton supports cutting-edge precision formats and parallel processing for maximum performance
FP8 Precision Support
Advanced 8-bit floating-point precision optimization for maximum inference speed while maintaining model accuracy. Proven to beat NVIDIA H200 performance.
Tensor Parallelism
Distribute model computation across multiple AMD GPUs for handling massive models like Llama-3.1-405B with linear scaling performance.
FP8 + Tensor Parallelism = Ultimate Performance
Combine FP8 precision with tensor parallelism to achieve breakthrough performance on the largest models while maintaining production-grade accuracy and reliability.
Built for Performance
Paiton creates optimized .so files with full vLLM support, tensor parallelism, data parallelism, and native AMD GPU acceleration
vLLM
Complete vLLM support and integration
Independent
No framework dependencies, no PyTorch, no TensorFlow
Optimized
AMD-optimized models with custom kernels
ROCm
Native AMD acceleration, using HIP
Supported AMD GPU Architectures
CDNA 4.0
Next-gen datacenter
CDNA 3.0
Current datacenter flagship
CDNA 2.0
High-performance datacenter
CDNA 1.0
First compute-optimized
RDNA (Beta)
Consumer gaming GPUs
Enterprise Focus: Best performance with CDNA series datacenter GPUs. RDNA consumer GPUs supported in Beta with community ROCm drivers.
Proven Results in Production
Read about our real-world Paiton achievements and performance benchmarks
Llama-3.1-405B Performance
Dramatically faster startup and performance improvements for the largest language models
Read Case StudyMoE Kernels Beat H200/B200
1M-token benchmark shows MI300X + Paiton MoE runtime outperforming NVIDIA's latest datacenter GPUs.
Read BenchmarkCost Efficiency Analysis
Faster tokens for fewer dollars: comprehensive cost-performance comparison
Read AnalysisReady to Accelerate Your AI?
Join enterprise teams already deploying high-performance optimized models with Paiton. Get custom optimization for your business-critical AI workloads.