PlaidML

E99362

PlaidML is an open-source, hardware-agnostic deep learning engine designed to accelerate neural network computation on a wide range of GPUs and other devices.

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All labels observed (1)

Label Occurrences
PlaidML canonical 1

Statements (49)

Predicate Object
instanceOf deep learning engine
machine learning library
open-source software
tensor compiler
acquiredBy Intel Corporation
surface form: Intel
canBeIntegratedWith existing deep learning workflows
category AI framework
GPU computing library
designedFor deep learning acceleration
neural network computation
developedBy Vertex AI
surface form: Vertex.AI
feature automatic kernel generation
backend-agnostic computation
cross-platform support
graph optimization
tensor algebra compiler
goal avoid vendor lock-in
provide high-performance deep learning on diverse hardware
hasComponent Tile IR
backend code generators
implements tile language
isHardwareAgnostic true
maintainer Intel Corporation
surface form: Intel
optimizationTarget performance
portability
programmingLanguage C++
Python
repositoryPlatform GitHub
softwareLicense Apache License 2.0
supportsBackend LLVM
Metal
OpenCL
supportsFramework Keras
ONNX
supportsHardwareType AMD Radeon GCN-based GPU
surface form: AMD GPU

CPU
GPU
Intel Arc
surface form: Intel GPU

Metal devices
GPU
surface form: NVIDIA GPU

OpenCL devices
supportsLanguage C++
Python
supportsOS Linux
Windows
macOS
useCase inference of neural networks
running Keras models on non-CUDA GPUs
training neural networks

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.

Keras supportsBackend PlaidML