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ease
features
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support

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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

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

Kubernetes
Liquid AI
NVIDIA virtual GPU
Phind
VMware Cloud

Integrations

Kubernetes
Liquid AI
NVIDIA virtual GPU
Phind
VMware Cloud

Pricing Details

$1.48 per hour
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

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
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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