TVM Insights | Sumble

What is TVM?

Apache TVM is an open source deep learning compiler framework for CPUs, GPUs, and specialized accelerators. It aims to close the gap between the productivity-focused deep learning frameworks and the performance or efficiency-focused hardware backends. TVM enables deep learning workloads to run efficiently on a wide range of hardware platforms by providing tools to optimize and compile models. It is commonly used for deploying and optimizing deep learning models on various platforms, including embedded systems, mobile devices, and servers.

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What other technologies are related to TVM?

TVM Competitor Technologies

XLA

XLA is a domain-specific compiler for linear algebra that optimizes TensorFlow computations. It competes with TVM in optimizing machine learning workloads, though it is primarily focused on TensorFlow.

mentioned alongside TVM in 43% (482) of relevant job posts

Glow

Glow is a machine learning compiler and execution engine focused on hardware acceleration. As such, it is a direct competitor of TVM.

mentioned alongside TVM in 70% (292) of relevant job posts

IREE

IREE is a compiler infrastructure and runtime environment for executing machine learning models, focusing on efficient execution on various hardware backends, similar to TVM.

mentioned alongside TVM in 48% (123) of relevant job posts

TensorRT

TensorRT is an SDK for high-performance deep learning inference on NVIDIA GPUs. It directly competes with TVM for optimizing and deploying deep learning models on NVIDIA hardware.

mentioned alongside TVM in 7% (283) of relevant job posts

TFLite

TFLite is TensorFlow's solution for deploying models on mobile and embedded devices. It provides similar functionality to TVM for deploying optimized models, making it a competitor.

mentioned alongside TVM in 14% (68) of relevant job posts

ONNX Runtime

ONNX Runtime is a cross-platform, high-performance scoring engine for ONNX models. It competes with TVM in optimizing and deploying machine learning models.

mentioned alongside TVM in 10% (58) of relevant job posts

TensorFlow Lite

TensorFlow Lite is TensorFlow's solution for deploying models on mobile and embedded devices. It provides similar functionality to TVM for deploying optimized models, making it a competitor.

mentioned alongside TVM in 6% (54) of relevant job posts

TVM Complementary Technologies

MLIR

MLIR is a compiler infrastructure that can be used as a component in TVM's compilation pipeline. It provides a flexible and extensible framework for defining and transforming tensor operations.

mentioned alongside TVM in 38% (918) of relevant job posts

LLVM

LLVM is a compiler infrastructure project that TVM utilizes for code generation. TVM leverages LLVM to compile optimized code for various target architectures.

mentioned alongside TVM in 18% (700) of relevant job posts

Halide

Halide is a programming language designed for image processing that allows developers to separate algorithm specification from scheduling. TVM can integrate Halide code for optimizing specific parts of a computation graph.

mentioned alongside TVM in 54% (159) of relevant job posts