VESSL AI

Overview

VESSL AI is a startup founded in April 2020, operating out of San Francisco, California, United States, with additional offices in Gangnam, Seoul, and Silicon Valley. The company delivers an advanced end-to-end platform focused on Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps), enabling users to efficiently build, train, optimize, and deploy AI models—removing the complexity typically encountered with machine learning infrastructure.

The platform comprises several modular components to streamline and automate AI workflows. VESSL Run facilitates model training with a single command and multi-cloud support, while VESSL Service provides serverless model deployment and real-time monitoring. VESSL Pipelines and VESSL Cluster optimize data preprocessing and GPU resource management. Integration with common software tools and support for both cloud and on-premise environments make VESSL AI a fit for enterprises seeking scalable AI project execution. Its client base includes Hyundai Motor Company and Seoul National University, with expanding partnerships worldwide.

Basic Information

Contact Details

• Phone: 1-82-10-2274-3161
• Website: vessl.ai
• LinkedIn: linkedin.com/company/vesslai

Key Focus Areas & Initiatives

• Machine learning
• MLOps
• Developers tool
• Artificial intelligence
• Software development
• Auto-failover
• Data storage integration
• Model registry
• Open source models
• LLM fine-tuning
• Inference scaling
• CI/CD automation
• Resource provisioning
• Model versioning
• Cost optimization
• Information technology and services
• Multi-cloud GPU management
• Multi-cloud infrastructure
• Distributed training
• Batch job scheduling
• AI project scaling
• Real-time monitoring
• GPU cloud
• Generative AI deployment
• Model training
• AI model testing
• Cloud computing
• High-performance ML workflows
• AI infrastructure abstraction
• Workflow automation
• Open source model hub
• Serverless deployment
• GPU utilization
• Data pipeline integration
• Kubernetes orchestration
• AI deployment
• Traffic splitting
• Cloud clusters
• Model deployment
• Model serving API
• Model fine-tuning
• YAML configuration
• AI workload orchestration
• Fuse support
• AI model management
• Model lifecycle management
• B2B
• Services
• Computer systems design and related services
• Enterprise software
• Enterprises
• Computer software

Technologies Used

• AI
• CloudFlare
• Docker
• Gmail
• Google Apps
• Google Tag Manager
• Hubspot
• Leadfeeder
• Microsoft Office 365
• Mobile Friendly
• Notion
• Pipedrive
• Route 53
• Vercel