What is Vessl AI?
VESSL AI offers a comprehensive Machine Learning Operations (MLOps) platform designed to accelerate the development, training, and deployment of artificial intelligence (AI) models. VESSL AI provides a unified interface for managing AI workloads across multiple cloud environments. This platform simplifies complex infrastructure management, enabling users to focus on innovation rather than operational overhead. Key features include serverless deployment, automated workflows, real-time monitoring, and seamless integration with popular tools and frameworks.
Key Features
Hub🌐: Access and fine-tune open-source models with zero setup. Deploy various AI workloads effortlessly using pre-configured templates from the VESSL Hub.
Run⚡: Train machine learning models across multiple clouds with a single command. Benefit from batch job scheduling, automatic failover, and cost optimization through per-second billing and spot instances.
Service⚙️: Deploy models serverlessly with persistent endpoints, ensuring automatic scaling based on traffic. Monitor real-time metrics like GPU utilization, latency, and throughput.
Cluster🖥️: Leverage a unified interface across cloud providers and on-premise clusters. Customize resource specifications and prioritize workloads for optimal efficiency.
Pipelines🔄: Automate AI workflows with end-to-end continuous integration and continuous deployment (CI/CD). Manage cron jobs easily and ensure the debuggability of complex machine learning workflows.
Use Cases
Academic Research: KAIST utilizes VESSL AI to provision over 1,000 GPUs to more than 200 machine learning researchers. VESSL AI enables researchers to easily access and utilize GPU resources, fostering collaboration and accelerating research projects. SNU also leverages VESSL AI for provisioning GPU clusters and hosting fastMRI challenges.
Large Language Model Fine-tuning: Scatter Lab uses VESSL AI to simplify the process of fine-tuning large language models. VESSL AI's intuitive interface and powerful features reduce development time and resources.
Autonomous Driving Development: Hyundai integrates over 100TB of data from various regions using VESSL AI, streamlining data pipelines. VESSL AI helped to reduce model deployment time from five months to one week, significantly accelerating the development of autonomous driving technology.
Conclusion
VESSL AI provides a powerful and user-friendly platform for managing AI workloads. VESSL AI simplifies complex tasks and optimizes resource usage, allowing users to save up to 80% in cloud costs. Its comprehensive features and seamless integration capabilities make it an ideal choice for teams looking to streamline their AI development process and achieve faster, more efficient results.
More information on Vessl AI
Launched
2021-06
Pricing Model
Paid
Starting Price
Global Rank
1461152
Follow
Month Visit
16K
Tech used
Next.js,Vercel,Emotion,Gzip,OpenGraph,Webpack,HSTS
Top 5 Countries
70.88%
10.66%
9.73%
6.7%
2.04%
Korea, Republic of
Vietnam
United States
India
Japan
Traffic Sources
2.66%
1.28%
0.05%
10.73%
44.31%
40.86%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Sep 25, 2025)
Vessl AI was manually vetted by our editorial team and was first featured on 2024-12-07.
