NVIDIA Cloud FunctionsNVIDIA
|
||||||
Related Products
|
||||||
About
NVIDIA Cloud Functions (NVCF) is a serverless API designed to deploy and manage AI workloads on GPUs, providing security, scalability, and reliability. It supports HTTP polling, HTTP streaming, and gRPC protocols for accessing workloads. Cloud Functions is primarily suited for shorter-running, preemptable workloads such as inferencing and fine-tuning. It supports two function types: "Container" and "Helm Chart", allowing users to define functions based on their specific requirements. Workloads are ephemeral and preemptable, so users should ensure they save their work appropriately. Models, containers, helm charts, and additional resources are hosted and pulled from the NGC Private Registry. To get started, users can follow the functions quickstart guide, which provides an end-to-end workflow for creating and deploying a container-based function using the fastapi_echo_sample container.
|
About
dstack is an orchestration layer designed for modern ML teams, providing a unified control plane for development, training, and inference on GPUs across cloud, Kubernetes, or on-prem environments. By simplifying cluster management and workload scheduling, it eliminates the complexity of Helm charts and Kubernetes operators. The platform supports both cloud-native and on-prem clusters, with quick connections via Kubernetes or SSH fleets. Developers can spin up containerized environments that link directly to their IDEs, streamlining the machine learning workflow from prototyping to deployment. dstack also enables seamless scaling from single-node experiments to distributed training while optimizing GPU usage and costs. With secure, auto-scaling endpoints compatible with OpenAI standards, it empowers teams to deploy models quickly and reliably.
|
|||||
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 looking for a solution to deploy and manage AI workloads on GPUs
|
Audience
Machine learning teams and enterprises seeking a unified, cost-efficient orchestration layer to manage GPU-based development, training, and inference across cloud, Kubernetes, and on-prem environments
|
|||||
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
No information available.
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationNVIDIA
Founded: 1993
United States
docs.nvidia.com/cloud-functions/index.html
|
Company Informationdstack
Founded: 2022
Germany
dstack.ai/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
|
|
|
|||||
Categories |
Categories |
|||||
Integrations
Amazon Web Services (AWS)
Datadog
Docker
Google Cloud Platform
Grafana Cloud
Helm
Kubernetes
Microsoft Azure
NVIDIA DGX Cloud
NVIDIA DGX Cloud Serverless Inference
|
Integrations
Amazon Web Services (AWS)
Datadog
Docker
Google Cloud Platform
Grafana Cloud
Helm
Kubernetes
Microsoft Azure
NVIDIA DGX Cloud
NVIDIA DGX Cloud Serverless Inference
|
|||||
|
|
|