VESSL Is Now VESSL Cloud

VESSL has been reborn as VESSL Cloud. Stop wrestling with infrastructure. Get high-performance GPUs on demand and focus entirely on your experiments and training.

Why We Built VESSL Cloud

VESSL started as an MLOps platform — helping teams with experiment tracking, model deployment, and pipeline management across the ML workflow. After working with hundreds of teams, we had a realization.

"In countless conversations with customers, we spotted a pattern. The real bottleneck wasn't the MLOps platform — it was GPU infrastructure itself. We learned that the greatest value for AI teams is being able to secure good GPUs fast and start experimenting without any setup." — Jaeman Ahn, CEO of VESSL AI

So we pivoted entirely — from MLOps platform to GPU-as-a-Service (GPUaaS). This isn't just a rebrand. We rebuilt the product from the ground up so you can get GPUs faster and iterate on experiments more easily.

Here's what changed, why it matters now, and what problems VESSL Cloud solves.

Changes at a Glance

• GPUaaS-first: We focus on delivering "ready-to-use GPU resources" so you never have to worry about infrastructure ops.
• Workspace-centric: A purpose-built research environment for model training and experimentation.
• Compute-storage separation: GPU (compute) and storage run independently. When you pause, the GPU stops and only storage persists — so you only pay for storage while idle.

Notice

• Start using the new GPU cloud right now at VESSL Cloud.
• The existing VESSL MLOps Platform remains available.
• Need to migrate data or workloads? Reach out to support@vessl.ai

Need large-scale GPUs? We can help based on the lineup below.

• A100 / H100 / B200: For usage and pricing inquiries → Talk to sales

How It Works

Forget about complex GPU infrastructure. VESSL Cloud handles it all.

• Seamless GPU access (Fluid Computing): We find and connect optimal GPUs across Korea, the US, Europe, and beyond. If one region is full, we automatically route to another.
• Fully automated operations: From resource allocation to scaling and failover — the system handles everything. No Kubernetes configs or YAML files required.
• Ready-made dev environments: PyTorch, CUDA, and everything you need is pre-installed. Custom images are supported, too.
• Connected in 1 minute: Jump into JupyterLab instantly or connect via SSH to VS Code.
• Fast, secure storage: Your data stays safe even when GPUs are off. (See separate documentation for data retention policy on Terminate.)

What's Different?

This isn't just a name change. We completely rebuilt the product to help you get GPUs faster and iterate more easily.

1. No More Infrastructure Management

No need to bring your own cloud (BYOC). VESSL Cloud is a fully managed GPU cloud (GPUaaS) — one click, and you're running. Try A100 and H100 right now. (B200 coming soon!)

✅ What's better: Focus on models, not infrastructure. What used to take days now takes minutes.

2. Zero Setup, Instant Start

CUDA drivers, frameworks, library dependencies — no more headaches.

VESSL Cloud eliminates all of that. We provide images pre-loaded with JupyterLab and key ML libraries, so you get a consistent environment every time. No more "it works on my machine" problems.

3. Uninterrupted Research Environment (Workspace)

AI development is all about iterating — experiment, tweak, repeat. Workspace keeps that flow going.

• Pause & Resume: Stop anytime. Your files and environment stay intact. Resume later and pick up right where you left off.
• Flexible scaling: Started on A100, but need H100? Switch specs without rebuilding your environment.
• Cost savings: Pay for the GPU only when you're using it. While paused, you only pay for storage.

4. Shared Storage for Teams

Collaborate more easily with your team.

• Shared team volumes: Share data across team members effortlessly.
• Persistent data: Your data is safe even when Workspaces are paused.
• Object storage integration: Manage datasets and model artifacts systematically.

5. Use Your Favorite Tools

Work with the tools you already know. All you need is an SSH key.

• JupyterLab: Launch and start coding immediately.
• SSH-based IDE connection: Connect your favorite IDE (like VS Code Remote-SSH) seamlessly.

6. Enterprise-Grade Security

VESSL AI is SOC 2 Type II certified (trust.vessl.ai). We support enterprise-level security and audit logs. For detailed security information, contact our sales team.

Why VESSL Cloud, Why Now?

GPUs are getting harder to secure while models keep growing. VESSL Cloud was built to solve exactly this.

• GPUs without the wait: Start immediately when you need them.
• No setup headaches: Stop wasting time on configuration.
• Fair pricing: A billing model that doesn't slow down your experiments.
• Solid fundamentals: Built for team-level workflows.
• End-to-end results: From training to inference, all in one place.

GPU Lineup & Pricing

• Per-minute billing: Not per hour. Billed by the minute, so even short experiments stay affordable.
• Competitive pricing: Starting at $2.39/hr for H100. Pay only for what you use.
• Prices shown are on-demand. For reserved instances (RI), contact us.
  • On-demand means you use resources when you need them and pay only for what you consume.

GPU demand is exploding, but securing them is harder than ever. Building your own GPU cluster means high upfront costs and operational burden. Using major clouds (AWS, GCP) means a complex setup and non-predictable pricing.

What Our Customers Say

"VESSL meaningfully reduces the time I spend on job wrangling — resource requests, environment quirks, monitoring — and shifts that time back into experiment design and analysis. Reliable compute availability allowed me to significantly reduce monitoring efforts with fire-and-forget." — Joseph Suh, PhD Researcher @ Stanford University

"VESSL enabled our autonomous driving team to consolidate multi-region data monitoring into a single dashboard and automate visualization reports — reducing deployment time from 5 months to 1 week." — Autonomous Driving Team, Hyundai Motor

"VESSL eliminated months of procurement time and let us start projects immediately. With Managed Cloud, we allocate high-performance resources on demand without complex hardware ordering or setup, and the integrated Workspace and Storage let us focus purely on analysis." — Data Analytics Lab, Hanwha Life

Who Is It For?

If any of these sound like your team, VESSL Cloud can help.

• AI Research/Engineering teams: Need to iterate quickly on fine-tuning and large-scale training.
• Startups / Product teams: Short on infra engineers but need GPUs.
• Enterprise teams: Want to run quick PoCs without a complex setup.

What Can You Do?

Perfect for any AI development task that needs GPUs.

• LLM fine-tuning and large-scale training
• Vision / multimodal model training
• Batch inference and experiment iteration
• Jupyter / SSH-based development workflows

Get Started Now

Seeing is believing — the fastest way is to try it yourself.

• Create a workspace now at VESSL Cloud.
• From setup to access to cost optimization, check our guide below for answers.
• Enterprise customer? Email biz-us@vessl.ai for credits.

Wrapping Up

VESSL Cloud was built to turn "time spent finding GPUs" into "time spent improving models" for AI teams.

We'll keep thinking about what matters most to you and building a better platform.