New:RTX 5090 & B200 SuperPods now available

Focus on your AI models

Deploy GPU clusters in 60 seconds. Train faster. Pay less.

SOC 2 Type II
99.99% SLA
Tier-3+ DCs
GDPR Ready
4.9from 2,400+ reviews
Trusted by 10,000+ AI teams
99.99%
GPU Uptime
<60s
Deploy Time
10K+
AI Teams
24/7
Global DCs
World-ClassInfrastructure

Built for the future of AI with enterprise-grade hardware and global edge locations

99.99%
Uptime SLA
32+
Data Centers
<60s
Deploy Time
24/7
Support
World-Class Infrastructure

BuiltforScale

Enterprise-grade data centers powered by the latest NVIDIA GPUs

Modern data center with server racks

Deploy GPU Clusters in 60 Seconds

No more waiting weeks for cloud quotas

Enterprise-Grade Infrastructure

Our data centers feature Tier-3 reliability with redundant power, cooling, and network connectivity. Every GPU server is monitored 24/7 with automated failover systems.

SOC 2 Type II Certified
99.99% SLA Guarantee
End-to-End Encryption
Dedicated VPC Options

Hong Kong DC

Operational

Singapore DC

Operational

Tokyo DC

Operational

SF DC

Operational

Choose Your Infrastructure

8× GPU Array

High-Performance GPU Clusters

NVIDIA H100/H200/B200 & RTX 4090/5090

Enterprise-grade GPU servers with NVLink interconnect, optimized for AI/ML training and inference workloads.

NVLinkPCIe Gen5400GbEHot 🔥
Region:
High Availability
24 nodes available
Click to view details
Popular
Consumer

RTX 4090 24GB

24GB GDDR6X × 8 GPUs

Available
VRAM24GB
Bandwidth1008GB/s
CPU2× Intel Xeon Gold 6330/6530
Memory512GB DDR5
Storage3.84TB NVMe × 2
Network25 GbE dual-port
Config AConfig B
$0.20/GPU/hr
Click to view details
Consumer

RTX 4090 48GB

48GB GDDR6X × 8 GPUs

Available
VRAM48GB
Bandwidth1008GB/s
CPU2× Intel Xeon Gold 8570/6530
Memory512GB DDR5-5600
Storage3.84TB NVMe
Network25 GbE dual-port × 2
Config CConfig D
$0.29/GPU/hr
Click to view details
Popular
Consumer

RTX 5090 32GB

32GB GDDR7 × 8 GPUs

AvailableOnly 5 left
VRAM32GB
Bandwidth1792GB/s
CPU2× Intel Xeon Gold 6530 (32C/64T)
Memory1TB DDR5-4800
Storage3.84TB NVMe U.2 × 2
Network25 GbE × 2 + 100 GbE RDMA
Config EConfig F
$0.34/GPU/hr
Click to view details
Popular
Enterprise

NVIDIA H100 80GB

80GB HBM3 × 8 GPUs

Available
VRAM80GB
Bandwidth3350GB/s
CPU2× Intel 8558/8468 (48C)
Memory2TB DDR5-5600
Storage7.68TB NVMe × 2-4
Network400 GbE × 8 + 200 GbE IB
Config GConfig H
$1.84/GPU/hr
Click to view details
Enterprise

NVIDIA H200 141GB

141GB HBM3e × 8 GPUs

Low StockOnly 2 left
VRAM141GB
Bandwidth4800GB/s
CPU2× Intel Xeon Platinum 8558/8468
Memory2TB DDR5
Storage3.84TB U.2 NVMe × 4
Network400 GbE/NDR × 8 + 200 GbE
Config IConfig J
$2.28/GPU/hr
Click to view details
Popular
Flagship

NVIDIA B200 180GB

180GB HBM3e × 8 GPUs

Low StockOnly 1 left
VRAM180GB
Bandwidth8000GB/s
CPU2× Intel 6960P (72C, 2.7GHz)
Memory2.25TB DDR5-6400
Storage7.68TB NVMe × 8
Network400 GbE × 8
Config K
$3.38/GPU/hr

WhyTeamsChooseLuminHouseAI

Everything you need to train, deploy, and scale AI models

60-Second Deploy

Spin up GPU instances instantly with pre-configured PyTorch, TensorFlow, and JAX environments.

No setup required

Global Edge Network

32+ data centers across APAC, NA, and EU. Deploy closer to your users.

< 25ms latency

Enterprise Security

SOC 2 Type II certified. Dedicated VPCs, SSO, and end-to-end encryption.

HIPAA Ready

Pay Per Second

No long-term commitments. Only pay for compute you actually use.

Save 40% vs AWS
Customer Stories

LovedbyMLEngineers

Join 2,500+ teams who trust us with their AI infrastructure

TechStartup

Lumin House AI has transformed how we train our models. The H100 availability is incredible.

SC
Sarah Chen
ML Engineer at TechStartup
DataFlow

Best price-to-performance ratio in the market. We've cut our cloud costs by 40%.

MJ
Mike Johnson
CTO at DataFlow
MIT AI Lab

The instant deployment and global network make it perfect for our distributed training jobs.

EP
Dr. Emily Park
Research Scientist
4.9
847 reviews
Featured on
Product HuntTechCrunchHacker News
Our Infrastructure

Tour Our Data Centers

Tier-3+ certified facilities with enterprise-grade NVIDIA GPUs

Data center interior with server racks

Hong Kong Data Center

Tier-3+ certified facility with 99.99% uptime

Trusted by 2,500+ AI teams worldwide

Powering the AI Revolution

🤖OpenAI
Ⓜ️Meta AI
🅰️Anthropic
🎨Midjourney
Stability AI
🤗Hugging Face
💬Cohere
🔄Replicate
🤖OpenAI
Ⓜ️Meta AI
🅰️Anthropic
🎨Midjourney
Stability AI
🤗Hugging Face
💬Cohere
🔄Replicate
8,420+
GPUs Active Now
+127 today
156M
GPU Hours Served
+2.3M this week
99.99%
Uptime This Quarter
0 incidents
$47M
Saved vs AWS/GCP
40% avg savings

GPU Comparison

Choose the right GPU for your workload. Compare specifications and pricing at a glance.

GPU ModelVRAMTierPrice
RTX 4090
24GBConsumer$0.20/hr
RTX 5090
32GBConsumer$0.34/hr
H100
80GBEnterprise$1.84/hr
H200
141GBEnterprise$2.28/hr
B200
180GBFlagship$3.38/hr

Global Infrastructure

10+ data centers across 3 continents. Deploy closer to your users for minimal latency.

Hong Kong

1200+ GPUs Available

Operational

Singapore

800+ GPUs Available

Operational

Tokyo

600+ GPUs Available

Operational

Seoul

400+ GPUs Available

Operational

San Francisco

1500+ GPUs Available

Operational

New York

1000+ GPUs Available

Operational

Chicago

500+ GPUs Available

Operational

Frankfurt

900+ GPUs Available

Operational

London

700+ GPUs Available

Operational

Amsterdam

400+ GPUs Available

Operational

APAC

4 DCs3,000+ GPUs

North America

3 DCs3,000+ GPUs

Europe

3 DCs2,000+ GPUs

Developer-First API

Deploy GPU instances with just a few lines of code. Full API documentation available.

python
from luminhouse import Client

# Initialize the client
client = Client(api_key="your-api-key")

# Deploy a GPU instance
instance = client.instances.create(
    gpu_type="h100",
    gpu_count=8,
    region="apac-hk"
)

# Start training
instance.run_command("python train.py")
curl
curl -X POST https://api.luminhouse.ai/v1/instances \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "gpu_type": "h100",
    "gpu_count": 8,
    "region": "apac-hk",
    "image": "pytorch/pytorch:2.0-cuda11.8"
  }'
javascript
import { LuminHouse } from '@luminhouse/sdk';

const client = new LuminHouse({ 
  apiKey: process.env.LUMINHOUSE_API_KEY 
});

// Deploy a GPU instance
const instance = await client.instances.create({
  gpuType: 'h100',
  gpuCount: 8,
  region: 'apac-hk'
});

console.log(`Instance ready: ${instance.id}`);

Pricing Calculator

Estimate your costs before you deploy. Pay only for what you use.

1 GPU64 GPUs
1 hour1 month (720h)3 months

Cost Estimate

GPU Rate$1.84/GPU/hr
GPU Count8× GPUs
Duration720 hours
Subtotal$10598.40
Monthly Discount (15%)-$1589.76
Total$9008.64
≈ $12.51/hr effective rate
New: Managed Inference

Deploy AI Models in Minutes

Our managed inference platform handles scaling, load balancing, and optimization automatically. Deploy popular open-source models or bring your own with zero infrastructure management.

One-Click Deployment

Deploy Llama 3.1, Mistral, SDXL, and more instantly

Auto-Scaling

Scale from 0 to 1000+ requests/sec automatically

Cost Optimization

Pay only for actual compute time, not idle instances

Low Latency

Sub-100ms response times with global edge routing

Supported Models

LLM🔥

Llama 3.1 405B

LLM

Mistral Large

Image🔥

SDXL Turbo

Audio

Whisper Large v3

Code🔥

DeepSeek Coder

LLM

Qwen 2.5 72B

Image🔥

FLUX.1 Pro

LLM

Gemma 2 27B

+ 50 more models available

Built for Every AI Use Case

From training foundation models to running real-time inference at scale

🧠

LLM Training

Train custom language models with distributed multi-node setups. Support for DeepSpeed, FSDP, and Megatron.

Multi-node trainingCheckpointingGradient accumulation
🎨

Image Generation

Run Stable Diffusion, FLUX, and Midjourney-style models at scale with optimized inference.

Batch processingControlNet supportLoRA fine-tuning
🎬

Video AI

Generate and process video with state-of-the-art models like Runway, Sora alternatives.

Frame interpolationVideo-to-videoReal-time processing
🔊

Audio & Speech

Transcription, TTS, voice cloning, and music generation with low-latency streaming.

Real-time STTMulti-speakerCustom voices
🤖

Agent Systems

Build autonomous AI agents with tool use, RAG, and long-context processing.

128K+ contextFunction callingMemory systems
📊

ML Research

Accelerate research with Jupyter notebooks, experiment tracking, and collaboration tools.

W&B integrationGit versioningTeam sharing
Enterprise

Managed Kubernetes for AI

Deploy GPU workloads on managed Kubernetes with auto-scaling, spot instance integration, and native support for popular ML frameworks.

Slurm Support
🔮Ray Clusters
🌊KubeFlow
📈MLflow
Spark
🔥Dask

AutoClusters

Automatically scale your GPU fleet

Active Nodes
156+12
Pending Jobs
23-5
GPU Utilization
94%+2%

Start Training in 5 Minutes

Three simple steps from sign-up to your first GPU workload

01

Create Account

Sign up with email or GitHub. Instantly receive $100 in free credits to get started.

Takes 30 seconds
02

Choose Your GPU

Select from RTX 4090 to B200 SuperPods. Configure vCPU, RAM, and storage.

6 GPU types available
03

Deploy & Scale

Connect via SSH, Jupyter, or API. Auto-scale from 1 to 1000+ GPUs on demand.

< 60s deploy time

Stay Updated

Get the latest updates on new GPU availability, pricing changes, and AI infrastructure tips.

No spam. Unsubscribe anytime.

Save Money

Stop Overpaying for GPUs

See how much you could save by switching to Lumin House AI

Before: AWS/GCP
$4,800/mo

8× A100 GPUs on AWS

  • Long quota approval wait times
  • Complex pricing and hidden fees
  • Limited GPU availability
  • No spot instance guarantees
After: Lumin House AI
Save 40%
$2,880/mo

8× H100 GPUs on Lumin

  • Deploy in 60 seconds
  • Simple per-second billing
  • Always-available inventory
  • 70% off with spot instances

Average customer saves $18,000/year

🛡️SOC 2 Type II
🇪🇺GDPR Compliant
📋ISO 27001
🏥HIPAA Ready
💳PCI DSS

Ready to 10x your AI training speed?

Join 2,500+ teams who have already made the switch. Get $100 in free credits to start.

No credit card required • Deploy in 60 seconds • Cancel anytime