Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Our infrastructure is designed to fulfill all your computing needs, whether you require a single GPU or thousands, or just one vCPU to a vast array of tens of thousands of vCPUs; we have you fully covered. Our resources are always on standby to support your requirements, anytime you need them. With our platform, switching between GPU and CPU instances is incredibly simple. You can easily deploy, adjust, and scale your instances to fit your specific needs without any complications. Enjoy exceptional machine learning capabilities without overspending. We offer the most advanced technology at a much more affordable price. Our state-of-the-art GPUs are engineered to handle the demands of your workloads efficiently. Experience computational resources that are specifically designed to accommodate the complexities of your models. Utilize our infrastructure for large-scale inference and gain access to essential libraries through our OblivusAI OS. Furthermore, enhance your gaming experience by taking advantage of our powerful infrastructure, allowing you to play games in your preferred settings while optimizing performance. This flexibility ensures that you can adapt to changing requirements seamlessly.
Description
Sengi functions as a managed runner service for GitHub Actions, executing Linux CI tasks on newly provisioned Ubuntu 24.04 x64 virtual machines. Teams can easily link their GitHub repositories and direct applicable workflow jobs to Sengi by adjusting the runner label, all while maintaining their existing Actions workflows, steps, secrets, logs, and triggers intact. The service provides various machine configurations including 2-vCPU/8-GB, 4-vCPU/16-GB, and 8-vCPU/32-GB options for diverse operations like builds, tests, Docker workflows, and handling multiple jobs in parallel. Each user account is granted a monthly quota of 3,000 standard-2-equivalent minutes that can be utilized across different runner sizes, and no payment card is necessary to initiate usage. Job execution charges are applied per minute based on the selected machine size, with boot and teardown times exempt from billing. Sengi aims to serve developers and DevOps teams seeking a hassle-free managed Linux execution solution for GitHub Actions, eliminating the need to maintain their own runner fleet. Currently, the service exclusively supports Ubuntu 24.04 on x64 architecture, ensuring a standardized environment for all users. This makes Sengi an appealing option for teams looking to streamline their CI/CD processes efficiently.
API Access
Has API
Yes
API Access
Has API
No
Screenshots View All
No images available
Pricing Details
$0.29 per hour
Free Trial
No
Free Version
Yes
Pricing Details
$0.003/job minute
Pay per job minute: $0.003 for 2 vCPU/8 GB, $0.006 for 4 vCPU/16 GB, and $0.012 for 8 vCPU/32 GB. Each job is rounded up to a whole minute; boot and teardown are not billed. No subscription or monthly minimum. Monthly free allowance: 3,000 standard-2-equivalent minutes, with size-weighted usage; no card required to start.
Free Trial
No
Free Version
Yes
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Oblivus
Country
United Kingdom
Website
oblivus.com
Vendor Details
Company Name
Sengi
Website
sengi.run/
Product Features
Product Features
Continuous Integration
Build Log
No
Change Management
No
Configuration Management
No
Continuous Delivery
No
Continuous Deployment
No
Debugging
No
Permission Management
No
Quality Assurance Management
No
Testing Management
No