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Average Ratings 0 Ratings
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
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