Audience

Enterprises and development teams looking for a platform to build, deploy, and scale AI components across diverse cloud or on-premises environments

About Pipeshift

Pipeshift is a modular orchestration platform designed to facilitate the building, deployment, and scaling of open source AI components, including embeddings, vector databases, large language models, vision models, and audio models, across any cloud environment or on-premises infrastructure. The platform offers end-to-end orchestration, ensuring seamless integration and management of AI workloads, and is 100% cloud-agnostic, providing flexibility in deployment. With enterprise-grade security, Pipeshift addresses the needs of DevOps and MLOps teams aiming to establish production pipelines in-house, moving beyond experimental API providers that may lack privacy considerations. Key features include an enterprise MLOps console for managing various AI workloads such as fine-tuning, distillation, and deployment; multi-cloud orchestration with built-in auto-scalers, load balancers, and schedulers for AI models; and Kubernetes cluster management.

Integrations

API:
Yes, Pipeshift offers API access

Ratings/Reviews

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Company Information

Pipeshift
Founded: 2023
United States
pipeshift.com

Videos and Screen Captures

Pipeshift Screenshot 1
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Product Details

Platforms Supported
Cloud
On-Premises
Training
Documentation
Live Online
Videos
Support
Online

Pipeshift Frequently Asked Questions

Q: What kinds of users and organization types does Pipeshift work with?
Q: What languages does Pipeshift support in their product?
Q: What kind of support options does Pipeshift offer?
Q: What other applications or services does Pipeshift integrate with?
Q: Does Pipeshift have an API?
Q: What type of training does Pipeshift provide?

Pipeshift Product Features

Infrastructure-as-a-Service (IaaS)

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

Pipeshift Additional Categories