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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Secure your workloads, streamline adherence to regulations, and ensure data sovereignty with IBM Cloud Secure Virtualization. A reliable cloud infrastructure must address critical concerns regarding corporate governance, security, and compliance. Customers seek to establish a setting where administration, workload performance, and data accessibility are limited to specific geographic locations while maintaining comprehensive audit capabilities. During the setup process, it is essential to determine the firmware settings that will be permitted and the hypervisor settings that have received approval. Carefully catalog each physical host along with its location, generating a snapshot or fingerprint of the launch configuration for each trusted host. This information is compiled into an allowlist. When the BIOS and hypervisor measurements of a host align with those recorded in the allowlist, the boot environment is verified. Consequently, the host is initiated in a state deemed secure and trusted, ensuring the integrity of the cloud environment throughout its operation. By implementing these protocols, organizations can confidently manage their cloud resources while meeting stringent security standards.

Description

NVIDIA Run:ai is a cutting-edge platform that streamlines AI workload orchestration and GPU resource management to accelerate AI development and deployment at scale. It dynamically pools GPU resources across hybrid clouds, private data centers, and public clouds to optimize compute efficiency and workload capacity. The solution offers unified AI infrastructure management with centralized control and policy-driven governance, enabling enterprises to maximize GPU utilization while reducing operational costs. Designed with an API-first architecture, Run:ai integrates seamlessly with popular AI frameworks and tools, providing flexible deployment options from on-premises to multi-cloud environments. Its open-source KAI Scheduler offers developers simple and flexible Kubernetes scheduling capabilities. Customers benefit from accelerated AI training and inference with reduced bottlenecks, leading to faster innovation cycles. Run:ai is trusted by organizations seeking to scale AI initiatives efficiently while maintaining full visibility and control. This platform empowers teams to transform resource management into a strategic advantage with zero manual effort.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

HPE Ezmeral No 
HyTrust Yes 
IBM Cloud Yes 

Integrations

HPE Ezmeral Yes 
HyTrust No 
IBM Cloud No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

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

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/architecture/architectures/virtualization_security_hytrust/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

www.nvidia.com/en-us/software/run-ai/

Product Features

Virtualization

Archiving & Retention No 
Capacity Monitoring No 
Data Mobility No 
Desktop Virtualization No 
Disaster Recovery No 
Namespace Management No 
Performance Management No 
Version Control No 
Virtual Machine Monitoring No 

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Virtualization

Archiving & Retention No 
Capacity Monitoring No 
Data Mobility No 
Desktop Virtualization No 
Disaster Recovery No 
Namespace Management No 
Performance Management No 
Version Control No 
Virtual Machine Monitoring No 

Alternatives

Alternatives