AI Cloudfor All Models

B300
ReservableBlackwell
$7.29/hr
Memory288GB HBM3e
Bandwidth8 TB/s
FP810 PFLOPS
400 Gbps NDR InfiniBand (multi-node)Full specs

Most memory in NVIDIA's lineup, newest silicon

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B200
ReservableBlackwell
$5.79/hr
Memory192GB HBM3e
Bandwidth8 TB/s
FP89 PFLOPS
400 Gbps NDR InfiniBand (multi-node)Full specs

The new standard for next-gen training

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GB300
ReservableBlackwell
Reserved only
Memory288GB × N HBM3e
Bandwidth8 TB/s
FP810 PFLOPS
400 Gbps NDR InfiniBand (multi-node)Full specs

Cluster-scale builds

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H200
ReservableHopper
$4.29/hr
Memory141GB HBM3e
Bandwidth4.8 TB/s
FP83,958 TFLOPS
400 Gbps NDR InfiniBand (multi-node)Full specs

Big models, fast inference

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H100
ReservableHopper
$3.19/hr
Memory80GB HBM3
Bandwidth3.35 TB/s
FP83,958 TFLOPS
Full specs

The workhorse for large-scale training

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A100
ReservableAmpere
$1.39/hr
Memory80GB HBM2e
Bandwidth2.0 TB/s
BF16624 TFLOPS
Full specs

The value pick for fine-tuning

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L40S
ReservableAda Lovelace
$1.80/hr
Memory48GB GDDR6
Bandwidth864 GB/s
FP81,466 TFLOPS

Built for image and video generation

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B300
ReservableBlackwell
$7.29/hr
Memory288GB HBM3e
Bandwidth8 TB/s
FP810 PFLOPS
400 Gbps NDR InfiniBand (multi-node)Full specs

Most memory in NVIDIA's lineup, newest silicon

Talk to sales
B200
ReservableBlackwell
$5.79/hr
Memory192GB HBM3e
Bandwidth8 TB/s
FP89 PFLOPS
400 Gbps NDR InfiniBand (multi-node)Full specs

The new standard for next-gen training

Talk to sales
GB300
ReservableBlackwell
Reserved only
Memory288GB × N HBM3e
Bandwidth8 TB/s
FP810 PFLOPS
400 Gbps NDR InfiniBand (multi-node)Full specs

Cluster-scale builds

Talk to sales
H200
ReservableHopper
$4.29/hr
Memory141GB HBM3e
Bandwidth4.8 TB/s
FP83,958 TFLOPS
400 Gbps NDR InfiniBand (multi-node)Full specs

Big models, fast inference

Talk to sales
H100
ReservableHopper
$3.19/hr
Memory80GB HBM3
Bandwidth3.35 TB/s
FP83,958 TFLOPS
Full specs

The workhorse for large-scale training

Start now
A100
ReservableAmpere
$1.39/hr
Memory80GB HBM2e
Bandwidth2.0 TB/s
BF16624 TFLOPS
Full specs

The value pick for fine-tuning

Start now
L40S
ReservableAda Lovelace
$1.80/hr
Memory48GB GDDR6
Bandwidth864 GB/s
FP81,466 TFLOPS

Built for image and video generation

Start now
B300
ReservableBlackwell
$7.29/hr
Memory288GB HBM3e
Bandwidth8 TB/s
FP810 PFLOPS
400 Gbps NDR InfiniBand (multi-node)Full specs

Most memory in NVIDIA's lineup, newest silicon

Talk to sales
B200
ReservableBlackwell
$5.79/hr
Memory192GB HBM3e
Bandwidth8 TB/s
FP89 PFLOPS
400 Gbps NDR InfiniBand (multi-node)Full specs

The new standard for next-gen training

Talk to sales
GB300
ReservableBlackwell
Reserved only
Memory288GB × N HBM3e
Bandwidth8 TB/s
FP810 PFLOPS
400 Gbps NDR InfiniBand (multi-node)Full specs

Cluster-scale builds

Talk to sales
H200
ReservableHopper
$4.29/hr
Memory141GB HBM3e
Bandwidth4.8 TB/s
FP83,958 TFLOPS
400 Gbps NDR InfiniBand (multi-node)Full specs

Big models, fast inference

Talk to sales
H100
ReservableHopper
$3.19/hr
Memory80GB HBM3
Bandwidth3.35 TB/s
FP83,958 TFLOPS
Full specs

The workhorse for large-scale training

Start now
A100
ReservableAmpere
$1.39/hr
Memory80GB HBM2e
Bandwidth2.0 TB/s
BF16624 TFLOPS
Full specs

The value pick for fine-tuning

Start now
L40S
ReservableAda Lovelace
$1.80/hr
Memory48GB GDDR6
Bandwidth864 GB/s
FP81,466 TFLOPS

Built for image and video generation

Start now
Tmap Mobility
Hanwha Life
LIG Nex1
Scatter Lab
Upstage
Subquadratic
Nuance Labs
Motif Technologies
Trillion Labs
Hudson AI
Rebellions
Stanford
CMU
MIT
Seoul National University
KAIST AI
Tommoro Robotics
Diden Robotics
NdotLight
Columbia University
NYU
Modal
University of Illinois Urbana-Champaign
Duke University
Wanted
Sionic AI
NXN Labs
GS Retail
KT
Yanolja
42MARU
Hyundai
SqueezeBits
dalpha
SBS
TVING
Ministry of Interior & Safety
University of Washington
University of Minnesota
University of Michigan
USC
Yonsei University
University of Wisconsin–Madison
Seoul National University Hospital
Korea University
Hanyang University
Sungkyunkwan University
DGIST
Chung-Ang University
KyungHee University
Dankook University
Gachon University
Tmap Mobility
Hanwha Life
LIG Nex1
Scatter Lab
Upstage
Subquadratic
Nuance Labs
Motif Technologies
Trillion Labs
Hudson AI
Rebellions
Stanford
CMU
MIT
Seoul National University
KAIST AI
Tommoro Robotics
Diden Robotics
NdotLight
Columbia University
NYU
Modal
University of Illinois Urbana-Champaign
Duke University
Wanted
Sionic AI
NXN Labs
GS Retail
KT
Yanolja
42MARU
Hyundai
SqueezeBits
dalpha
SBS
TVING
Ministry of Interior & Safety
University of Washington
University of Minnesota
University of Michigan
USC
Yonsei University
University of Wisconsin–Madison
Seoul National University Hospital
Korea University
Hanyang University
Sungkyunkwan University
DGIST
Chung-Ang University
KyungHee University
Dankook University
Gachon University

Trusted by AI teams worldwide

Academia
Upstage
Subquadratic
Nuance Labs
Motif Technologies
Trillion Labs
ScatterLab

These teams build everything from LLMs, search, and conversational AI to multimodal foundation models, all trained on VESSL Cloud, on self-serve clusters with preconfigured environments.

For the teams pushing the limits of AI

Five years of building MLOps taught us one thing:
AI teams should never lose their focus to infrastructure. Setup should be simple, GPUs should attach in minutes, and training should start right away. That's the world we're building, so the researchers and developers leading AI can keep expanding the frontier. And we're not done.

Where AI models
get their GPUs.

  • Start in minutes
  • Scale to multi-node clusters
  • Capacity reserved to your timeline
  • Dedicated support