Triton Insights

What is Triton?

NVIDIA Triton Inference Server is a software framework designed to maximize the performance of AI model inference. It supports a variety of models and frameworks (TensorFlow, PyTorch, ONNX Runtime, etc.), enabling deployment on GPUs, CPUs, and cloud platforms. It's commonly used to serve AI models at scale with low latency and high throughput.

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What other technologies are related to Triton?

Triton Competitor Technologies

TensorRT

TensorRT is an SDK for high-performance deep learning inference. It optimizes and deploys trained models, similar to Triton's goals of optimizing kernels, but at a higher level.

mentioned alongside Triton in 9% (367) of relevant job posts

FasterTransformer

FasterTransformer is a library for optimized transformer inference. It provides highly optimized kernels, which is similar to what Triton aims to enable.

mentioned alongside Triton in 54% (51) of relevant job posts

TVM

TVM is a compiler framework for machine learning systems. It automates the optimization of machine learning models, with similar goals to Triton.

mentioned alongside Triton in 4% (72) of relevant job posts

Triton Complementary Technologies

CUTLASS

CUTLASS is a collection of CUDA C++ template abstractions for implementing high-performance matrix-multiplication (GEMM) at all levels and scales within CUDA. Triton can use CUTLASS for optimized kernel generation.

mentioned alongside Triton in 43% (133) of relevant job posts

MLIR

MLIR is a compiler infrastructure that can be used to represent and optimize Triton programs. Triton uses MLIR to generate optimized code for different backends.

mentioned alongside Triton in 12% (298) of relevant job posts

XLA

XLA is a compiler for linear algebra that can be used as a backend for Triton. Triton can generate XLA code.

mentioned alongside Triton in 17% (192) of relevant job posts