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Description
NVIDIA Cloud Functions (NVCF) is a serverless API tailored for deploying and managing AI tasks on GPUs, ensuring security, scalability, and dependable performance. It accommodates various access methods, including HTTP polling, HTTP streaming, and gRPC protocols, for interacting with workloads. Primarily, Cloud Functions is optimized for brief, preemptable tasks such as inferencing and model fine-tuning. Users can choose between two types of functions: "Container" and "Helm Chart," enabling them to customize functions according to their specific needs. Since workloads are transient and preemptable, it is crucial for users to save their progress diligently. Additionally, models, containers, helm charts, and other essential resources are stored and retrieved from the NGC Private Registry. To begin utilizing NVCF, users can refer to the quickstart guide for functions, which outlines a comprehensive workflow for establishing and launching a container-based function utilizing the fastapi_echo_sample container. This resource not only highlights the ease of setup but also encourages users to explore the full potential of NVIDIA’s serverless infrastructure.
Description
Microservice operating system that delivers atomic updates while utilizing a read-only btrfs root filesystem, MicroOS is specifically crafted to support containerized workloads with features for automated maintenance and patch management. By installing openSUSE MicroOS, users can quickly create a compact environment ideal for running containers or other tasks that require transactional updates. As a rolling release distribution, it ensures that all software remains current and up-to-date. Additionally, MicroOS provides an offline image option for easier installation. The key distinction between the offline image and the self-install/raw images lies in the inclusion of an installer in the offline version, while the raw and self-install images allow for greater customization through combustion or manual adjustments after the image has been deployed. Furthermore, MicroOS includes the possibility of utilizing a real-time kernel for enhanced performance. Users can explore MicroOS in virtual machines on platforms such as Xen or KVM, while those with Raspberry Pi or similar system-on-chip devices can take advantage of the preconfigured image combined with combustion for seamless boot integration. This versatility makes MicroOS an appealing choice for a variety of deployment scenarios.
API Access
Has API
API Access
Has API
Integrations
Cyrus IMAP
Datadog
Docker
Grafana Cloud
Helm
Kasm Workspaces
Kubernetes
NVIDIA DGX Cloud
NVIDIA DGX Cloud Serverless Inference
Raspberry Pi OS
Integrations
Cyrus IMAP
Datadog
Docker
Grafana Cloud
Helm
Kasm Workspaces
Kubernetes
NVIDIA DGX Cloud
NVIDIA DGX Cloud Serverless Inference
Raspberry Pi OS
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
docs.nvidia.com/cloud-functions/index.html
Vendor Details
Company Name
openSUSE
Country
United States
Website
get.opensuse.org/microos/
