Gloo AI Gateway

Gloo AI Gateway

Gloo AI Gateway offers a robust cloud-native solution for managing AI applications with advanced security and control. It seamlessly integrates large language models (LLMs) across diverse cloud environments, featuring fine-grained access control, prompt management, and real-time analytics. Enhanced safeguards protect against abuse, optimizing model performance and operational efficiency.

Top Gloo AI Gateway Alternatives

1

MLflow

MLflow is an open-source platform designed to streamline the machine learning lifecycle, encompassing experimentation, deployment, and model management.

2

LiteLLM

LiteLLM serves as an AI Gateway, enabling seamless access to over 100 Large Language Models through a unified interface.

3

Kong AI Gateway

Kong AI Gateway empowers developers to accelerate the adoption of Generative AI by seamlessly integrating and securing popular Large Language Models (LLMs).

4

AI Gateway

AI Gateway serves as a secure, centralized solution for managing AI tools, empowering employees to enhance productivity.

5

AI Gateway for IBM API Connect

The AI Gateway for IBM API Connect serves as a pivotal control hub, enabling organizations to seamlessly access AI services through public APIs.

6

Arch

Effortlessly build AI applications with Arch, an intelligent proxy server designed to streamline prompt management and enhance user interactions.

7

BaristaGPT LLM Gateway

Acting as a secure conduit for the Espressive virtual agent, it streamlines employee assistance across...

8

Undrstnd

Offering inference speeds up to 20 times faster than GPT-4 and costs up to 70...

9

Kosmoy

By integrating various LLMs with pre-built connectors, it centralizes compliance and billing while enabling intelligent...

10

NeuralTrust

Its features include real-time threat detection, automated data sanitization, and customizable policies...

Top Gloo AI Gateway Features

  • Secure AI application governance
  • Fine-grained access control
  • Real-time LLM analytics
  • Token-weighted rate limiting
  • Prompt management and augmentation
  • Semantic caching for latency reduction
  • Guardrails against LLM attacks
  • Cloud-native scalability
  • Automated configuration as code
  • Self-service platform capabilities
  • Integration with Backstage
  • Multi-cloud environment support
  • Comprehensive observability features
  • Zero-downtime connectivity
  • Customizable client interactions
  • Advanced data integration patterns
  • Secure credential management
  • Protection against data exfiltration
  • Enhanced model performance metrics
  • AI consumption visibility.