H100 Clusters Available Now

Infinite compute.
Instant access.

Rent high-performance GPUs for AI training, fine-tuning, and rendering. Deploy in seconds with pre-configured environments.

Jupyter Ready

Pre-installed ML environments.

> pip install torch

Global Edge

Low latency across 12 regions.

US-EAST-1 ACTIVE

SOC2 Compliant

Enterprise grade security.

99.99% UPTIME

Compute without
compromise.

Access high-performance H100 & A100 clusters instantly. The infrastructure layer built for the next generation of AI.

NVIDIA H100 Hopper

Elastic Scalability

Scale from a single GPU to thousands of nodes in seconds. Our orchestration layer handles the complexity.

GPU Cluster

Flash Boot

Cold boot times under 5 seconds. Don't pay for idle time waiting for provisioning.

<5sBoot Time

API First

Programmatic control over your infrastructure. Integrate directly into your CI/CD pipeline.

1$ flow gpu create --type h100
2Provisioning cluster...
3Allocating IP...
4✓ Ready in 3.2s
Global Network
US-EastEU-WestAsia-PacificSA-East

Global Low Latency

Deploy your models closer to your users. Our edge network ensures minimal latency for real-time inference applications.

SOC2 Type II Certified

Enterprise-grade security and compliance built-in.

Read Security Report →
Infrastructure

Compute without
compromise.

Access high-performance H100 clusters instantly. No queues, no hidden fees, just raw power delivered via our global edge network.

Bare Metal H100s

Direct access to NVIDIA H100 Tensor Core GPUs. Bypass virtualization overhead for maximum training throughput.

$ nvidia-smi
GPU 0: H100-80GB
Fan: 45%
Process: python train.py

Deploy in Seconds

Pre-configured environments for PyTorch, TensorFlow, and JAX. Spin up a cluster faster than you can make coffee.

GIT
BUILD
LIVE
> docker run -d
Pulling image...
Digest: sha256:8b...
> Status: Running

Global Edge Network

Deploy your models close to your users. 35+ regions available with sub-20ms latency guarantees.

US-EAST-1: 12ms

SOC2 Compliant

Enterprise-grade security with VPC peering, encrypted storage, and granular IAM controls.

ENCRYPTED
ISO 27001
System Status: Operational

The Infrastructure
for Intelligence.

Rent massive GPU compute on demand. From H100 clusters to single RTX 4090s, deploy your models in seconds with our pre-configured ML stack.

Bare Metal Performance

No virtualization overhead. Get direct access to hardware for maximum training throughput and lowest latency inference.

ROOT@GPU-CLUSTER-01:~#UPTIME: 99.99%

> nvidia-smi

GPU 0
H100 80GB
GPU 1
H100 80GB

Instant Deploy

Spin up JupyterLab, VS Code, or SSH instances in under 15 seconds. Pre-loaded with PyTorch, TensorFlow, and CUDA.

Deployment Complete (1.2s)

SOC2 Compliant

Enterprise-grade security with end-to-end encryption, VPC peering, and ISO 27001 certification.

Per-Second Billing

Stop paying for idle time. Our granular billing ensures you only pay for the compute you actually use, down to the second.

Total Cost
$4.32
Active Session
Infrastructure

Flexibility Guarantee

Stop paying for idle GPUs. Our fractionalized cloud infrastructure adapts to your workload in real-time.

Elastic Scaling

Spin up 100x H100 GPUs in seconds. Our orchestration layer handles the complexity so you can focus on training.

Learn more

Pay-per-Second

No monthly lock-ins or idle costs. Billing is calculated to the millisecond, ensuring you only pay for compute you actually use.

Learn more

No Vendor Lock-in

Open standard containers. Move your models freely between our cloud and your private infrastructure without refactoring.

Learn more

Pre-configured ML

Jupyter, PyTorch, and TensorFlow ready environments. Skip the DevOps hell and start coding immediately.

Learn more

Powered by Compute

Join thousands of developers and researchers scaling their AI infrastructure with our high-performance GPU cloud.

"The H100 clusters spin up faster than any other provider we've tested. It's not just raw compute; it's the orchestration layer that saves us hours."

Dr. Elena R.

Dr. Elena R.

Lead AI Researcher, Neural Nexus

"Finally, a GPU cloud that understands the needs of rendering pipelines. We cut our render times by 40% switching to their bare metal instances."

Marcus Chen

Marcus Chen

CTO, Vortex Studios

"Transparent pricing and zero hidden egress fees. For a startup training LLMs on a budget, this platform is the only viable option."

Sarah Jenkins

Sarah Jenkins

Founder, OpenMind AI

"The API documentation is a work of art. Integrating their spot instances into our auto-scaling CI/CD pipeline took less than an afternoon."

David Okonjo

David Okonjo

DevOps Lead, ScaleUp Inc

"The H100 clusters spin up faster than any other provider we've tested. It's not just raw compute; it's the orchestration layer that saves us hours."

Dr. Elena R.

Dr. Elena R.

Lead AI Researcher, Neural Nexus

"Finally, a GPU cloud that understands the needs of rendering pipelines. We cut our render times by 40% switching to their bare metal instances."

Marcus Chen

Marcus Chen

CTO, Vortex Studios

"Transparent pricing and zero hidden egress fees. For a startup training LLMs on a budget, this platform is the only viable option."

Sarah Jenkins

Sarah Jenkins

Founder, OpenMind AI

"The API documentation is a work of art. Integrating their spot instances into our auto-scaling CI/CD pipeline took less than an afternoon."

David Okonjo

David Okonjo

DevOps Lead, ScaleUp Inc

"The H100 clusters spin up faster than any other provider we've tested. It's not just raw compute; it's the orchestration layer that saves us hours."

Dr. Elena R.

Dr. Elena R.

Lead AI Researcher, Neural Nexus

"Finally, a GPU cloud that understands the needs of rendering pipelines. We cut our render times by 40% switching to their bare metal instances."

Marcus Chen

Marcus Chen

CTO, Vortex Studios

"Transparent pricing and zero hidden egress fees. For a startup training LLMs on a budget, this platform is the only viable option."

Sarah Jenkins

Sarah Jenkins

Founder, OpenMind AI

"The API documentation is a work of art. Integrating their spot instances into our auto-scaling CI/CD pipeline took less than an afternoon."

David Okonjo

David Okonjo

DevOps Lead, ScaleUp Inc

Training LLaMA-3 on 512 H100s
Large Language Models
40% Faster Convergence

Training LLaMA-3 on 512 H100s

Read the full technical case study

Real-time Raytracing for Metaverse
Graphics & Rendering
<15ms Latency

Real-time Raytracing for Metaverse

Read the full technical case study

H100 Clusters Available Now

Compute power that defies limits.

Stop waiting in queue. Deploy high-performance GPU clusters in seconds. Simple pricing, instant scalability, and zero infrastructure headaches.

bash — 80x24
flow gpu create --type=h100 --count=8
Provisioning cluster... Done (1.2s)
Allocating IP addresses... Done
Establishing secure tunnel... Connected
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