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What is Spot Ocean?

Spot Ocean allows users to take full advantage of Kubernetes, minimizing worries related to infrastructure management and providing better visibility into cluster operations, all while significantly reducing costs. An essential question arises regarding how to effectively manage containers without the operational demands of overseeing the associated virtual machines, all while taking advantage of the cost-saving opportunities presented by Spot Instances and multi-cloud approaches. To tackle this issue, Spot Ocean functions within a "Serverless" model, skillfully managing containers through an abstraction layer over virtual machines, which enables the deployment of Kubernetes clusters without the complications of VM oversight. Additionally, Ocean employs a variety of compute purchasing methods, including Reserved and Spot instance pricing, and can smoothly switch to On-Demand instances when necessary, resulting in an impressive 80% decrease in infrastructure costs. As a Serverless Compute Engine, Spot Ocean simplifies the tasks related to provisioning, auto-scaling, and managing worker nodes in Kubernetes clusters, empowering developers to concentrate on application development rather than infrastructure management. This cutting-edge approach not only boosts operational efficiency but also allows organizations to refine their cloud expenditure while ensuring strong performance and scalability, leading to a more agile and cost-effective development environment.

What is SF Compute?

SF Compute operates as a marketplace that provides users with on-demand access to vast GPU clusters, allowing for the rental of high-performance computing resources by the hour without requiring long-term contracts or significant upfront costs. Users can choose between virtual machine nodes or Kubernetes clusters that feature InfiniBand for quick data transfers, enabling them to specify the number of GPUs, the duration of use, and the start time based on their individual needs. The platform allows for customizable "buy blocks" of computing power; for example, clients may opt for a package of 256 NVIDIA H100 GPUs for three days at a set hourly rate, or they can modify their resource allocation to fit their financial plans. Kubernetes clusters can be deployed in just half a second, while virtual machines typically take around five minutes to be ready for use. In addition, SF Compute provides significant storage capabilities, boasting over 1.5 TB of NVMe and more than 1 TB of RAM, and users benefit from zero costs associated with data transfers in or out, ensuring no extra fees for data movement. The architecture of SF Compute cleverly obscures the physical infrastructure, utilizing a real-time spot market alongside a dynamic scheduling system to enhance resource allocation efficiency. This innovative arrangement not only improves usability but also significantly optimizes efficiency for clients aiming to expand their computational capacities, making it an attractive solution for various computing needs. Consequently, SF Compute stands out in the market by offering flexibility and cost-effectiveness that traditional computing solutions often lack.

Media

Media

Integrations Supported

Kubernetes
CloudCheckr
Liquid AI
NVIDIA virtual GPU
Phind
Spot by NetApp
VMware Cloud

Integrations Supported

Kubernetes
CloudCheckr
Liquid AI
NVIDIA virtual GPU
Phind
Spot by NetApp
VMware Cloud

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$1.48 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Spot by NetApp

Date Founded

2015

Company Location

United States

Company Website

spot.io/product/ocean/

Company Facts

Organization Name

SF Compute

Company Location

United States

Company Website

sfcompute.com

Categories and Features

Cloud Management

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

Container Management

Access Control
Application Development
Automatic Scaling
Build Automation
Container Health Management
Container Storage
Deployment Automation
File Isolation
Hybrid Deployments
Network Isolation
Orchestration
Shared File Systems
Version Control
Virtualization

Infrastructure-as-a-Service (IaaS)

Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring

Server Management

CPU Monitoring
Credential Management
Database Servers
Email Monitoring
Event Logs
History Tracking
Patch Management
Scheduling
User Activity Monitoring
Virtual Machine Monitoring

Serverless

API Proxy
Application Integration
Data Stores
Developer Tooling
Orchestration
Reporting / Analytics
Serverless Computing
Storage

Categories and Features

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