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About
CUDO Compute is an enterprise AI infrastructure company delivering large scale GPU capacity on the latest generation hardware for organisations that require predictable, production ready AI environments.
Operating at the intersection of Land, Power and Compute, CUDO Compute helps organisations build and scale AI environments with the speed, reliability and engineering expertise required for modern AI workloads. From dedicated GPU clusters and high performance networking to sovereign AI deployments, CUDO enables organisations to move from experimentation to production with confidence.
Built on more than 20 years of experience across data centres, cloud operations and high performance computing, CUDO combines deep infrastructure expertise with a track record spanning 40,000+ GPUs globally. This operational heritage underpins how the company designs, deploys and manages large scale AI environments.
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About
Nextify is a cloud infrastructure platform for provisioning and managing virtual machines, confidential-computing VMs, GPU instances, and related networking and storage. It offers shared- and dedicated-vCPU AMD EPYC machines, AMD SEV-SNP secure VMs with encrypted guest memory, a virtual TPM and remote attestation, and GPU VMs with AMD Radeon AI PRO R9700 cards. Customers can attach NVMe-backed block storage, create snapshots and S3-compatible object-storage buckets, and use public IPv4, firewalls, private networks, VPN gateways and load balancers. Resources can be managed in the web portal or through a REST API and command-line client; the API also supports automation from scripts, CI pipelines and Terraform. Compute instances are billed hourly up to a published monthly cap, with plans for web services, development and test environments, databases, build jobs, GPU inference, fine-tuning and rendering workloads.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Data scientists, and high-performance computing professionals in search of a tool to manage their intensive computational workloads
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Audience
Developers and technical teams running websites, databases, development and test environments, CI/build jobs, and GPU inference, fine-tuning or rendering workloads.
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
$1.73 per hour
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
$3.95/month
Shared-vCPU virtual machines start at $3.95 per month equivalent ($0.0054/hour) in US West 1. Compute is billed hourly while instances run and capped at the plan's monthly price for a 730-hour month; stopped instances do not incur compute charges. Secure VMs start at $30/month equivalent and GPU VMs at $300/month equivalent. Other storage and networking add-ons are priced separately.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationCUDO Compute
United Kingdom
www.cudocompute.com
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Company InformationNextify Now
www.nextifynow.com
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