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About

NVIDIA Triton™ inference server delivers fast and scalable AI in production. Open-source inference serving software, Triton inference server streamlines AI inference by enabling teams deploy trained AI models from any framework (TensorFlow, NVIDIA TensorRT®, PyTorch, ONNX, XGBoost, Python, custom and more on any GPU- or CPU-based infrastructure (cloud, data center, or edge). Triton runs models concurrently on GPUs to maximize throughput and utilization, supports x86 and ARM CPU-based inferencing, and offers features like dynamic batching, model analyzer, model ensemble, and audio streaming. Triton helps developers deliver high-performance inference aTriton integrates with Kubernetes for orchestration and scaling, exports Prometheus metrics for monitoring, supports live model updates, and can be used in all major public cloud machine learning (ML) and managed Kubernetes platforms. Triton helps standardize model deployment in production.

About

Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and companies searching for an inference server solution to improve AI production

Audience

Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 1.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

NVIDIA
United States
developer.nvidia.com/nvidia-triton-inference-server

Company Information

PyTorch
Founded: 2016
pytorch.org

Alternatives

NVIDIA NIM

NVIDIA NIM

NVIDIA

Alternatives

Core ML

Core ML

Apple
Create ML

Create ML

Apple
MXNet

MXNet

The Apache Software Foundation
DeepSpeed

DeepSpeed

Microsoft

Categories

Categories

Integrations

NVIDIA DeepStream SDK
AWS Elastic Fabric Adapter (EFA)
Amazon EC2 Inf1 Instances
Amazon SageMaker Model Building
Cameralyze
Collimator
Dataoorts GPU Cloud
Flower
Flyte
Fuzzball
Gemma 2
HStreamDB
Intel Tiber AI Studio
Kubernetes
LTXV
Label Studio
Lightning AI
Robust Intelligence
Tencent Cloud
TensorWave

Integrations

NVIDIA DeepStream SDK
AWS Elastic Fabric Adapter (EFA)
Amazon EC2 Inf1 Instances
Amazon SageMaker Model Building
Cameralyze
Collimator
Dataoorts GPU Cloud
Flower
Flyte
Fuzzball
Gemma 2
HStreamDB
Intel Tiber AI Studio
Kubernetes
LTXV
Label Studio
Lightning AI
Robust Intelligence
Tencent Cloud
TensorWave
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