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Average Ratings 0 Ratings

Total
ease
features
design
support

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Description

Impossible Cloud is a cloud infrastructure platform built to support enterprise storage, artificial intelligence, and high-performance computing workloads through a unified set of cloud services. The platform combines S3-compatible object storage, dedicated bare metal GPU servers, and managed AI services that allow organizations to build, deploy, and scale modern applications. Its object storage service provides high availability, enterprise-grade durability, transparent pricing, and compatibility with existing S3-based workflows while eliminating egress fees and long-term lock-in. Dedicated bare metal GPU servers give customers exclusive access to physical hardware without virtualization layers, maximizing performance for machine learning, AI inference, and GPU-intensive applications. Managed AI services support large language model deployment, Kubernetes orchestration, and HPC environments while reducing infrastructure management complexity. Impossible Cloud is designed for organizations with strict security and compliance requirements by offering encryption, role-based access control, multi-factor authentication, and certifications including ISO 27001 and SOC 2. Customers can choose deployment regions in Europe or the United States while maintaining data governance aligned with regulatory requirements such as GDPR. A partner ecosystem, enterprise support, and broad integration capabilities make the platform suitable for managed service providers, enterprises, and technology partners. Impossible Cloud delivers scalable cloud infrastructure that combines enterprise storage, AI computing, and transparent pricing without sacrificing performance or data sovereignty.

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

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

Amazon S3
HPE Ezmeral
Kubernetes

Integrations

Amazon S3
HPE Ezmeral
Kubernetes

Pricing Details

$7.99 per month
Free Trial
Free Version

Pricing Details

No price information available.
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

Impossible Cloud

Founded

2021

Country

Germany

Website

www.impossiblecloud.com

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

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

Product Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Virtualization

Archiving & Retention
Capacity Monitoring
Data Mobility
Desktop Virtualization
Disaster Recovery
Namespace Management
Performance Management
Version Control
Virtual Machine Monitoring

Alternatives

No Alternatives

Alternatives