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Description

Keepsake is a Python library that is open-source and specifically designed for managing version control in machine learning experiments and models. It allows users to automatically monitor various aspects such as code, hyperparameters, training datasets, model weights, performance metrics, and Python dependencies, ensuring comprehensive documentation and reproducibility of the entire machine learning process. By requiring only minimal code changes, Keepsake easily integrates into existing workflows, permitting users to maintain their usual training routines while it automatically archives code and model weights to storage solutions like Amazon S3 or Google Cloud Storage. This capability simplifies the process of retrieving code and weights from previous checkpoints, which is beneficial for re-training or deploying models. Furthermore, Keepsake is compatible with a range of machine learning frameworks, including TensorFlow, PyTorch, scikit-learn, and XGBoost, enabling efficient saving of files and dictionaries. In addition to these features, it provides tools for experiment comparison, allowing users to assess variations in parameters, metrics, and dependencies across different experiments, enhancing the overall analysis and optimization of machine learning projects. Overall, Keepsake streamlines the experimentation process, making it easier for practitioners to manage and evolve their machine learning workflows effectively.

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 Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

PyTorch Yes 
TensorFlow Yes 
Alibaba CloudAP No 
Amazon EKS No 
Amazon Elastic Container Service (Amazon ECS) No 
Amazon S3 Yes 
Amazon SageMaker No 
Azure Machine Learning No 
Gemini Enterprise Agent Platform No 
Google Cloud Storage Yes 
Google Kubernetes Engine (GKE) No 
JSON Yes 
Kubernetes No 
MXNet No 
NVIDIA DeepStream SDK No 
NVIDIA Morpheus No 
Prometheus No 
Python Yes 
Tencent Cloud No 
Thunder Compute No 

Integrations

PyTorch Yes 
TensorFlow Yes 
Alibaba CloudAP Yes 
Amazon EKS Yes 
Amazon Elastic Container Service (Amazon ECS) Yes 
Amazon S3 No 
Amazon SageMaker Yes 
Azure Machine Learning Yes 
Gemini Enterprise Agent Platform Yes 
Google Cloud Storage No 
Google Kubernetes Engine (GKE) Yes 
JSON No 
Kubernetes Yes 
MXNet Yes 
NVIDIA DeepStream SDK Yes 
NVIDIA Morpheus Yes 
Prometheus Yes 
Python No 
Tencent Cloud Yes 
Thunder Compute Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
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 No 
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 No 
Live Training (Online) No 
In Person No 

Types of Training

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

Vendor Details

Company Name

Replicate

Country

United States

Website

keepsake.ai/

Vendor Details

Company Name

NVIDIA

Country

United States

Website

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

Product Features

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 

Version Control

Branch Creation / Deletion No 
Centralized Version History No 
Code Review No 
Code Version Management No 
Collaboration Tools No 
Compare / Merge Branches No 
Digital Asset / Binary File Storage No 
Isolated Code Branches No 
Option to Revert to Previous No 
Pull Requests No 
Roles / Permissions No 

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

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TensorBoard

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Alternatives

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