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Description
Cocoon represents a decentralized network focused on “confidential compute,” which allows individuals to execute AI tasks on a distributed GPU infrastructure while maintaining strict control over their data privacy. Utilizing the TON blockchain along with a network of GPU providers, it facilitates the execution of AI workloads in encrypted settings, ensuring that no singular company or node operator can access sensitive information, thereby restoring compute and data ownership to the users rather than centralized cloud services. Tasks are performed only for the necessary duration and do not leave residual data on centralized storage systems, significantly enhancing privacy, security, and decentralization. The structure of Cocoon is designed to challenge traditional big-tech cloud monopolies by providing a transparent, crypto-supported framework where resource contributors are compensated, often in native tokens, while users gain access to robust computing capabilities without relinquishing control. This innovative approach not only empowers users but also fosters a more equitable ecosystem in the realm of AI and data management.
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
Integrations
Kubernetes
Liquid AI
NVIDIA virtual GPU
Phind
TON Wallet
Telegram
VMware Cloud
Integrations
Kubernetes
Liquid AI
NVIDIA virtual GPU
Phind
TON Wallet
Telegram
VMware Cloud
Pricing Details
Free
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
Cocoon
Country
United States
Website
cocoon.org
Vendor Details
Company Name
SF Compute
Country
United States
Website
sfcompute.com
