VESSL AI

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Claimed

Operationalize full spectrum AI & LLMs with easy deployment and management.

Pricing Model: Consumption
Updated: 06/03/2025
Employees Not Disclosed
Founded in Not Disclosed
Funding Series Not Disclosed
Funding Amount Not Disclosed

VESSL AI is an MLOps platform designed to support the development and deployment of AI and Large Language Models (LLMs). The platform offers an impressive range of services, from model training and deployment to resource management and workflow automation, all designed to streamline AI operations. With VESSL AI, users can deploy AI models in a serverless environment, maximize cost efficiency with GPU usage, and scale workloads across multiple cloud providers. Ideal for ambitious AI projects, it supports real-time monitoring and a user-friendly interface for consistent operations across different environments.

VESSL AI is particularly suited for teams looking to efficiently deploy and manage sophisticated machine learning workflows, offering features that automate AI workflows with end-to-end CI/CD. Whether dealing with small-scale models or large-scale AI deployments, VESSL AI promises to optimize resource usage and simplify infrastructure complexities, making it a robust solution for businesses across various sectors.

Pros:

  • Comprehensive AI deployment and management suite
  • Serverless deployment optimizes resource usage
  • Supports multi-cloud and on-premise operations
  • Real-time monitoring and management

Cons:

  • May require integration effort with existing systems
  • Cost may vary with scale and usage
  • Learning curve for advanced features

Features:

  • Hub - Open source models with zero setup
  • Run - Train models with a single command
  • Service - Serverless deployment of AI models
  • Cluster - Monitor system metrics in real-time
  • Pipeline - Automate AI workflows with end-to-end CI/CD
  • Real-time monitoring - Track worker count, GPU utilization, and more

Integrations:

  • GitHub - Integrates with GitHub for version control and code management
  • Multiple Cloud Providers - Supports deployment on AWS, Google Cloud, Azure, or on-premises

Pricing:

  • Pay as you go - $1.8/h for A100 GPUs
  • Per-second billing - Optimize costs with precision billing methods

Implementation Timeline

Not Disclosed

Onboarding

Not Disclosed

Sandbox

No

Compliance

Not Disclosed

Buying Persona

CRO, CFO, VP of Sales, Director, CMO, Sale Manager, RevOps, Product Marketing Manager, VP of Demand Generation, Brand Manager, Customer Success Manager, VP, FP&A Manager, Sales Finance Manager

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