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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.
Description
Zettar zx - High-Performance Data Migration and Transfer
Use Cases
• Replication and Sync
Data Migration
• Transparent Tiering
• In-Cloud Migration
• Hybrid Cloud Data Movement
• Data centralization for AI and Analytics platforms
• Autonomous vehicle data collection
• Recurring edge to core and edge-to cloud ingest workloads
• Data Backup and Recovery
• Data staging
• Data transfer at petabyte scale & Billion files Transfer
• Data Transfer and Forwarding
Real-time streaming
Key Features
• Peer-toPeer Scale Out: Lightning-fast data transfer with cluster-level parallel computing.
• Transparent Compression
• Works with Ethernet and InfiniBand.
• Supports files, objects (including S3 AWS) and S3 multipart APIs.
• Send and receive simultaneously. Users can have a separate data area to read and write.
• Secure and Reliable : TLS encryption to secure data transmission
• SDK & API Integration
• Web Access
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Kubernetes
Yes
Liquid AI
Yes
NVIDIA virtual GPU
Yes
Phind
Yes
VMware Cloud
Yes
Integrations
Kubernetes
No
Liquid AI
No
NVIDIA virtual GPU
No
Phind
No
VMware Cloud
No
Pricing Details
$1.48 per hour
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
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
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
SF Compute
Country
United States
Website
sfcompute.com
Vendor Details
Company Name
Zettar
Founded
2015
Country
United States
Website
zettar.com
Product Features
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
