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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Nextify serves as a cloud infrastructure platform designed for the provisioning and oversight of various virtual machines, including confidential-computing VMs, GPU instances, and associated networking and storage solutions. The platform features both shared and dedicated vCPU offerings powered by AMD EPYC processors, alongside AMD SEV-SNP secure VMs that provide encrypted guest memory, a virtual TPM, and remote attestation capabilities. Additionally, it supports GPU VMs equipped with AMD Radeon AI PRO R9700 graphics cards, enabling high-performance computing tasks. Customers are granted the ability to attach NVMe-backed block storage, generate snapshots, and set up S3-compatible object storage buckets, as well as utilize public IPv4 addresses, firewalls, private networks, VPN gateways, and load balancers. Resource management can be executed via a web portal or through a REST API and command-line interface, with the API facilitating automation through scripts, CI pipelines, and Terraform configurations. Furthermore, compute instances are charged on an hourly basis, capped at a specified monthly limit, and are suitable for a variety of use cases such as web services, development and testing environments, databases, build jobs, GPU inference, fine-tuning, and rendering tasks. This flexibility makes Nextify a comprehensive solution for businesses looking to efficiently manage their cloud infrastructure needs.

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 Yes 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

Kubernetes No 
Liquid AI No 
NVIDIA virtual GPU No 
Phind No 
Terraform Yes 
VMware Cloud No 

Integrations

Kubernetes Yes 
Liquid AI Yes 
NVIDIA virtual GPU Yes 
Phind Yes 
Terraform No 
VMware Cloud Yes 

Pricing Details

$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 Trial No 
Free Version No 

Pricing Details

$1.48 per hour
Free Trial No 
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 Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
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 No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Nextify Now

Website

www.nextifynow.com

Vendor Details

Company Name

SF Compute

Country

United States

Website

sfcompute.com

Product Features

Infrastructure-as-a-Service (IaaS)

Analytics / Reporting No 
Configuration Management No 
Data Migration No 
Data Security No 
Load Balancing No 
Log Access No 
Network Monitoring No 
Performance Monitoring No 
SLA Monitoring No 

Virtual Machine

Backup Management No 
Graphical User Interface No 
Remote Control No 
VDI No 
Virtual Machine Encryption No 
Virtual Machine Migration No 
Virtual Machine Monitoring No 
Virtual Server No 

Product Features

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