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Average Ratings 0 Ratings

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features
design
support

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Description

Data Version Control (DVC) is an open-source system specifically designed for managing version control in data science and machine learning initiatives. It provides a Git-like interface that allows users to systematically organize data, models, and experiments, making it easier to oversee and version various types of files such as images, audio, video, and text. This system helps structure the machine learning modeling process into a reproducible workflow, ensuring consistency in experimentation. DVC's integration with existing software engineering tools is seamless, empowering teams to articulate every facet of their machine learning projects through human-readable metafiles that detail data and model versions, pipelines, and experiments. This methodology promotes adherence to best practices and the use of well-established engineering tools, thus bridging the gap between the realms of data science and software development. By utilizing Git, DVC facilitates the versioning and sharing of complete machine learning projects, encompassing source code, configurations, parameters, metrics, data assets, and processes by committing the DVC metafiles as placeholders. Furthermore, its user-friendly approach encourages collaboration among team members, enhancing productivity and innovation within projects.

Description

The NVIDIA Triton™ inference server provides efficient and scalable AI solutions for production environments. This open-source software simplifies the process of AI inference, allowing teams to deploy trained models from various frameworks, such as TensorFlow, NVIDIA TensorRT®, PyTorch, ONNX, XGBoost, Python, and more, across any infrastructure that relies on GPUs or CPUs, whether in the cloud, data center, or at the edge. By enabling concurrent model execution on GPUs, Triton enhances throughput and resource utilization, while also supporting inferencing on both x86 and ARM architectures. It comes equipped with advanced features such as dynamic batching, model analysis, ensemble modeling, and audio streaming capabilities. Additionally, Triton is designed to integrate seamlessly with Kubernetes, facilitating orchestration and scaling, while providing Prometheus metrics for effective monitoring and supporting live updates to models. This software is compatible with all major public cloud machine learning platforms and managed Kubernetes services, making it an essential tool for standardizing model deployment in production settings. Ultimately, Triton empowers developers to achieve high-performance inference while simplifying the overall deployment process.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Alibaba CloudAP No 
Amazon EKS No 
Amazon Elastic Container Service (Amazon ECS) No 
Amazon SageMaker No 
Azure Kubernetes Service (AKS) No 
Azure Machine Learning No 
FauxPilot No 
Gemini Enterprise Agent Platform No 
Git Yes 
Google Kubernetes Engine (GKE) No 
HPE Ezmeral No 
Kubernetes No 
LiteLLM No 
MXNet No 
NVIDIA Morpheus No 
Prometheus No 
Tencent Cloud No 
TensorFlow No 
Thunder Compute No 
Visual Studio Code Yes 

Integrations

Alibaba CloudAP Yes 
Amazon EKS Yes 
Amazon Elastic Container Service (Amazon ECS) Yes 
Amazon SageMaker Yes 
Azure Kubernetes Service (AKS) Yes 
Azure Machine Learning Yes 
FauxPilot Yes 
Gemini Enterprise Agent Platform Yes 
Git No 
Google Kubernetes Engine (GKE) Yes 
HPE Ezmeral Yes 
Kubernetes Yes 
LiteLLM Yes 
MXNet Yes 
NVIDIA Morpheus Yes 
Prometheus Yes 
Tencent Cloud Yes 
TensorFlow Yes 
Thunder Compute Yes 
Visual Studio Code No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

iterative.ai

Founded

2018

Country

United States

Website

dvc.org

Vendor Details

Company Name

NVIDIA

Country

United States

Website

developer.nvidia.com/nvidia-triton-inference-server

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

Alternatives

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