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Description
Joyent offers a Single Tenant Public Cloud that combines the robust security, cost efficiency, and management capabilities of a private cloud. This service is entirely managed by Joyent, ensuring that users have complete control over their private cloud environment, along with comprehensive installation, onboarding, and support services. Customers can opt for either open-source or commercial assistance for their on-premises, user-managed private clouds. The infrastructure is designed to efficiently deliver virtual machines, containers, and bare metal resources, while being capable of handling workloads at an exabyte scale. Joyent’s engineering team provides extensive support for contemporary application frameworks, including microservices, APIs, development tools, and container-native DevOps practices. Triton is a hybrid, modern, and open solution specifically optimized to host the most substantial cloud-native applications. With Joyent, users can expect not only cutting-edge technology but also a partnership that supports their long-term growth and innovation.
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
Integrations
Alibaba CloudAP
No
Amazon EKS
No
Amazon SageMaker
No
Azure Kubernetes Service (AKS)
No
Azure Machine Learning
No
FauxPilot
No
Google Kubernetes Engine (GKE)
No
HPE Ezmeral
No
Kubernetes
No
LiteLLM
No
Integrations
Alibaba CloudAP
Yes
Amazon EKS
Yes
Amazon SageMaker
Yes
Azure Kubernetes Service (AKS)
Yes
Azure Machine Learning
Yes
FauxPilot
Yes
Google Kubernetes Engine (GKE)
Yes
HPE Ezmeral
Yes
Kubernetes
Yes
LiteLLM
Yes
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
Yes
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
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
No
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Joyent
Founded
2004
Country
United States
Website
www.joyent.com
Vendor Details
Company Name
NVIDIA
Country
United States
Website
developer.nvidia.com/nvidia-triton-inference-server
Product Features
Container Management
Access Control
No
Application Development
No
Automatic Scaling
No
Build Automation
No
Container Health Management
No
Container Storage
No
Deployment Automation
No
File Isolation
No
Hybrid Deployments
No
Network Isolation
No
Orchestration
No
Shared File Systems
No
Version Control
No
Virtualization
No
Data Center Management
Audit Trail
No
Behavior-Based Acceleration
No
Cross Reference System
No
Device Auto Discovery
No
Diagnostic Testing
No
Import / Export Data
No
JCL Management
No
Multi-Platform
Yes
Multi-User
Yes
Power Management
No
Sarbanes-Oxley Compliance
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
