Supercharge AI Models for AMD GPUs
Recompile your existing AI models (language models, diffusion models) with custom in-house AMD kernels and operators. Paiton delivers over 50% performance improvements with FP8 precision, tensor parallelism, and proven results beating NVIDIA H200.
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.
Recompilation Technology
Transform any existing model with our recompilation engine and custom AMD kernels. Works with language models, vision models, full vLLM support.
Custom AMD Kernels
In-house written kernels and operators specifically designed for AMD architecture. Proven to beat NVIDIA H200 performance in production environments.
How 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 recompile them with our custom AMD kernels and operators.
Recompilation Engine
Our recompilation engine replaces standard operators with custom in-house written kernels specifically designed for AMD GPU architectures.
Deploy & Scale
Deploy your recompiled 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 completely independent models with full vLLM support 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 StudyBeating NVIDIA H200
Paiton FP8 outperforms NVIDIA's flagship H200 GPU using AMD's MI300X hardware
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.