Start off quickly, save money on computing, and simply scale to very large IPUs as needed.
To help developers everywhere make new strides in artificial intelligence, G-Core Labs cloud services are now accessible with free trials and a variety of payment options. An easy method to add current AI computing on demand without having to set up on-premises hardware or create an AI infrastructure from start is through the use of the scalable cluster known as the Core AI.
Features and Benefits…
There are many advantages of a dedicated cloud-based AI infrastructure for accelerating machine learning:
- Performance for natural language processing at the highest level.
- Utilize a dashboard, an API, or Terraform to create, train, and deploy ready-to-use machine learning models.
- Data set management and S3/NFS storage integration.
- Safe and reliable cloud platform.;
- SLA 99.9% uptime guarantee.
- World-class performance in graphics networks, computer vision, and natural language processing.
- A distinctive architecture for solutions that differ.
- Output with less lag.
- ML models from a broad variety are supported.
- Create novel discoveries to acquire a competitive edge.
- Help from AI professionals.
- Extensive manuals, guides, and ready-made models.
- Support for well-known platforms for machine learning.
- High-caliber technical assistance 24/7.
- Open egress lanes (for public or hybrid solutions).
Customers can now simply train custom code or compare models thanks to AI infrastructure, and all of your models are kept in a single central model repository. Now, these models on the Gcore AI infrastructure may be deployed to the same endpoints. The G-core Labs-powered artificial intelligence cloud is intended to assist businesses in a variety of industries, including manufacturing, healthcare, finance, and scientific research. Every stage of their AI journey, from proof of concept to training and deployment, is supported by it. The brand-new AI infrastructure may be fully deployed as a service using G-Core Labs hardware and edge cloud.