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Description
OneSource Cloud specializes in the design, construction, and management of sovereign AI infrastructure tailored for organizations in regulated sectors that cannot utilize public cloud for sensitive operations, such as healthcare and life sciences, financial services, government and defense, energy, legal, and research sectors.
Our services include the provision of dedicated GPU compute as a managed offering, encompassing cluster design, hardware acquisition, data center colocation, deployment, and ongoing maintenance. The clusters are equipped with NVIDIA GPUs connected via InfiniBand for efficient multi-node training and inference, complemented by high-performance storage solutions and dedicated private networking. Each client benefits from a unique, isolated environment that ensures their data and models do not share hardware with other users, safeguarding their confidentiality.
Our managed services extend to capacity planning, provisioning, workload scheduling, system monitoring, patching, and customer support. Each environment is meticulously configured to meet the client’s compliance standards, including regulations such as NIST 800-171 and specific data residency requirements.
Currently, we operate over 20,000 GPUs across more than 96 data centers, ensuring robust support for our clients' complex needs in an increasingly data-sensitive landscape. This extensive infrastructure positions us as a leader in providing secure AI solutions for organizations facing strict regulatory demands.
Description
SF Compute serves as a marketplace platform providing on-demand access to extensive GPU clusters, enabling users to rent high-performance computing resources by the hour without the need for long-term commitments or hefty upfront investments. Users have the flexibility to select either virtual machine nodes or Kubernetes clusters equipped with InfiniBand for rapid data transfer, allowing them to determine the number of GPUs, desired duration, and start time according to their specific requirements. The platform offers adaptable "buy blocks" of computing power; for instance, clients can request a set of 256 NVIDIA H100 GPUs for a three-day period at a predetermined hourly price, or they can adjust their resource allocation depending on their budgetary constraints. When it comes to Kubernetes clusters, deployment is incredibly swift, taking approximately half a second, while virtual machines require around five minutes to become operational. Furthermore, SF Compute includes substantial storage options, featuring over 1.5 TB of NVMe and upwards of 1 TB of RAM, and notably, there are no fees for data transfers in or out, meaning users incur no costs for data movement. The underlying architecture of SF Compute effectively conceals the physical infrastructure, leveraging a real-time spot market and a dynamic scheduling system to optimize resource allocation. This setup not only enhances usability but also maximizes efficiency for users looking to scale their computing needs.
API Access
Has API
API Access
Has API
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Integrations
Kubernetes
Liquid AI
NVIDIA virtual GPU
Phind
VMware Cloud
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$1.48 per hour
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
OneSource Cloud
Founded
2014
Country
United States
Website
onesourcecloud.net
Vendor Details
Company Name
SF Compute
Country
United States
Website
sfcompute.com
