High-End GPUs, Ready in Minutes
Secure H100/A100/B200 GPU clusters fast—right-sized by quantity and term—with setup and ops support included.
Trusted by the top enterprises
Pricing
On-demand GPUs.
Production-ready from day one.
Define your GPU resources and point to your code & dataset—VESSL handles the orchestration.
Develop in Workspace (Jupyter/SSH), then scale runs on clusters with logs and metrics built in.
A100 80G SXM
$1.55/hr
on-demand
H100 80G SXM
$2.39/hr
on-demand
A100 80G SXM
$1.55/hr
on-demand
H100 80G SXM
$2.39/hr
on-demand
Pricing
On-demand GPUs.
Production-ready from day one.
Define your GPU resources and point to your code & dataset—VESSL handles the orchestration.
Develop in Workspace (Jupyter/SSH), then scale runs on clusters with logs and metrics built in.
A100 80G SXM
$1.55/hr
on-demand
H100 80G SXM
$2.39/hr
on-demand
The Problem
The Infrastructure Bottleneck
Hardware shortage
H100/A100 supply is constrained,
with multi-month lead times.
CAPEX burden
High upfront CAPEX +
ongoing ops costs lower ROI.
Hyperscalers
“Managed” still means
complexity & unpredictable costs.
The Management Burden
Raw VM Providers
Raw VMs shift ops burden
to your engineers.
Resource Scarcity & CAPEX
Hardware shortage
H100/A100 supply is constrained,
with multi-month lead times.
CAPEX burden
High upfront CAPEX +
ongoing ops costs lower ROI.
Hyperscalers
“Managed” still means
complexity & unpredictable costs.
The Management Burden
Raw VM Providers
Raw VMs shift ops burden
to your engineers.
Resource Scarcity & CAPEX
The Problem
The Infrastructure Bottleneck
Hardware shortage
H100/A100 supply is constrained,
with multi-month lead times.
CAPEX burden
High upfront CAPEX +
ongoing ops costs lower ROI.
Hyperscalers
“Managed” still means
complexity & unpredictable costs.
The Management Burden
Raw VM Providers
Raw VMs shift ops burden
to your engineers.
Resource Scarcity & CAPEX
A100 80GB SXM
H100 80GB SXM
B200 192GB SXM
A100 80GB SXM
H100 80GB SXM
B200 192GB SXM
Our Solution
Zero Ops. Maximum Research Velocity.
Start instantly on H100/A100/B200 with fully managed infrastructure—hardware to drivers, networking, and day-2 ops included.
A100 80GB SXM
H100 80GB SXM
B200 192GB SXM
Our Solution
Zero Ops. Maximum Research Velocity.
Start instantly on H100/A100/B200 with fully managed infrastructure—hardware to drivers, networking, and day-2 ops included.
features
Fully Managed Infrastructure
GPU Workspaces for ML Development
Spin up a workspace and work the way you like—Jupyter, SSH, and VS Code—on GPU-backed environments.
Shared Volumes for Teams
VESSL
VESSL Storage
Capacity
2TB
Created volumes
8
Cluster availibility
All Clusters
Manage Storage
Create S3-backed, POSIX-compatible shared volumes and mount them across workspaces.
Leverage JupyterLab, SSH & VS Code
Use your preferred workflow and keep the same environment across the team.
Leverage JupyterLab, SSH & VS Code
Use your preferred workflow and keep the same environment across the team.
Collaboration with Shared Storage
Multiple workspaces can read/write the same shared volume—ideal for team training and handoffs.
Collaboration with Shared Storage
Multiple workspaces can read/write the same shared volume—ideal for team training and handoffs.
Consistent Docker Environments
Docker-based images keep dependencies consistent across workspaces and teammates.
Consistent Docker Environments
Docker-based images keep dependencies consistent across workspaces and teammates.
features
Fully Managed Infrastructure
GPU Workspaces for ML Development
Spin up a workspace and work the way you like—Jupyter, SSH, and VS Code—on GPU-backed environments.
Shared Volumes for Teams
VESSL
VESSL Storage
Capacity
2TB
Created volumes
8
Cluster availibility
All Clusters
Manage Storage
Create S3-backed, POSIX-compatible shared volumes and mount them across workspaces.
Leverage JupyterLab, SSH & VS Code
Use your preferred workflow and keep the same environment across the team.
Collaboration with Shared Storage
Multiple workspaces can read/write the same shared volume—ideal for team training and handoffs.
Consistent Docker Environments
Docker-based images keep dependencies consistent across workspaces and teammates.
