Pick your GPU.
Start building.

Choose from H100, A100, H200, B200, and more—spin up in minutes, scale on demand, pay only for what you use.

No waitlists. No complexity. Just GPUs.

VESSL AI Platform
Tmap Mobility
Hanwha Life
LIG Nex1
Scatter Lab
Upstage
Hudson AI
Rebellions
Stanford
CMU
MIT
Seoul National University
KAIST AI
Tomorrow Robotics
Columbia University
NYU
Wanted
Sionic AI
GS Retail
KT
Yanolja
42MARU
Hyundai
Ministry of Interior & Safety
University of Washington
University of Minnesota
University of Michigan
USC
Yonsei University
NVIDIA
AWS
Google Cloud
Oracle
Nebius
CoreWeave
Naver Cloud
Samsung SDS
LG U+
NHN Cloud
MARA
Tmap Mobility
Hanwha Life
LIG Nex1
Scatter Lab
Upstage
Hudson AI
Rebellions
Stanford
CMU
MIT
Seoul National University
KAIST AI
Tomorrow Robotics
Columbia University
NYU
Wanted
Sionic AI
GS Retail
KT
Yanolja
42MARU
Hyundai
Ministry of Interior & Safety
University of Washington
University of Minnesota
University of Michigan
USC
Yonsei University
NVIDIA
AWS
Google Cloud
Oracle
Nebius
CoreWeave
Naver Cloud
Samsung SDS
LG U+
NHN Cloud
MARA

GPUs, your way.

The simplest path from zero to running AI workloads.

Choose spot, on-demand, or reserved capacity. Pick from H100, A100, H200, B200, and more. Mix and match to fit your workload and budget.

Run your way
AI Startups

Move fast.
Scale faster.

Built for teams who
can't wait for GPUs.

Stop waiting on cloud quotas. Access H100, A100, H200, B200 across multiple providers through one platform. Scale from prototype to production without re-architecting.

  • No quota limits or waitlists
  • Multi-cloud failover built-in
  • Pay-as-you-go pricing
  • Production-ready reliability

Everything you need to
run AI at scale.

Trusted by leading teams

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Customers including enterprise, startups, government & academia

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Strategic partnerships

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Cloud partners

24/7

Platform monitoring

Built for real workloads

LLM post-training
Inference at scale
Physical AI
Academic research

Web Console

Visual cluster management

CLI

vessl run native workflows

Auto Failover

Seamless provider switching

Multi-Cluster

Unified view across regions

AWS
Google Cloud
Oracle
Nebius
CoreWeave
Naver Cloud
Samsung SDS
NHN Cloud

GPU products for every stage

From research to production, pick the reliability level that matches your needs.

Spot

Best-effort, lowest cost

Best for: Research, batch jobs, experimentation

Best-effort availability
Up to 90% savings
Preemptible capacity
Auto-checkpointing
Get Started
Most Popular

On-Demand

Reliable with failover

Best for: Production workloads

High availability with failover
Automatic failover
Pay-as-you-go
Real-time monitoring
Get Started

Reserved

Guaranteed capacity

Best for: Mission-critical AI

Enterprise-grade reliability
Capacity guarantee
Volume discounts
Dedicated support
Contact Sales

Start flexible. Scale with confidence.

GPU Cloud Pricing

GPUVRAMOn-DemandSpotReserved
H100 SXM80GB$2.39/hrComing SoonContact Sales
A100 SXM80GB$1.55/hrComing SoonContact Sales
B200192GB$5.00/hrComing SoonContact Sales
Reserved discounts: up to 40% with commitment
Academic programs available

Storage Pricing

TypeRate
Cluster StorageComing Soon
Object Storage$0.07 GB/month

Frequently Asked Questions

What's the difference between Spot and On-Demand?

Spot instances use excess capacity at steep discounts but can be preempted. On-Demand provides reliable capacity with automatic failover.

What's the difference between Cluster Storage and Object Storage?

Cluster Storage allows you to share files across multiple workloads and provides faster network performance, ideal for collaborative training jobs. Object Storage is best for storing large datasets and artifacts at a lower cost.

Do you offer academic pricing?

Yes. Research labs and universities can access discounted rates and flexible terms. Contact us for details.

What's included in Reserved pricing?

Reserved plans include guaranteed capacity, dedicated support, and volume discounts. Terms start at 3 months.

Trusted by AI teams worldwide

“

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. In particular, reliable compute availability of VESSL allowed me to significantly reduce monitoring efforts with fire-and-forget.

”

Joseph Suh

  • Time shifted from job wrangling to experiment design
  • Monitoring efforts significantly reduced with fire-and-forget

Stop chasing GPUs.
Start shipping AI.

Unified access to GPU capacity across providers. One platform, transparent pricing.

  • No credit card required
  • Start in minutes
  • Multi-cloud failover
  • High availability built-in
  • 24/7 support available