Deploy GPU clusters in 60 seconds. Train faster. Pay less.
Built for the future of AI with enterprise-grade hardware and global edge locations
Enterprise-grade data centers powered by the latest NVIDIA GPUs
No more waiting weeks for cloud quotas
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.
Hong Kong DC
Operational
Singapore DC
Operational
Tokyo DC
Operational
SF DC
Operational
NVIDIA H100/H200/B200 & RTX 4090/5090
Enterprise-grade GPU servers with NVLink interconnect, optimized for AI/ML training and inference workloads.
24GB GDDR6X × 8 GPUs
48GB GDDR6X × 8 GPUs
32GB GDDR7 × 8 GPUs
80GB HBM3 × 8 GPUs
141GB HBM3e × 8 GPUs
180GB HBM3e × 8 GPUs
Everything you need to train, deploy, and scale AI models
Spin up GPU instances instantly with pre-configured PyTorch, TensorFlow, and JAX environments.
No setup required32+ data centers across APAC, NA, and EU. Deploy closer to your users.
< 25ms latencySOC 2 Type II certified. Dedicated VPCs, SSO, and end-to-end encryption.
HIPAA ReadyNo long-term commitments. Only pay for compute you actually use.
Save 40% vs AWSJoin 2,500+ teams who trust us with their AI infrastructure
“Lumin House AI has transformed how we train our models. The H100 availability is incredible.”
“Best price-to-performance ratio in the market. We've cut our cloud costs by 40%.”
“The instant deployment and global network make it perfect for our distributed training jobs.”
Tier-3+ certified facilities with enterprise-grade NVIDIA GPUs
Tier-3+ certified facility with 99.99% uptime
Trusted by 2,500+ AI teams worldwide
Choose the right GPU for your workload. Compare specifications and pricing at a glance.
| GPU Model | VRAM | Tier | Price | |
|---|---|---|---|---|
RTX 4090 | 24GB | Consumer | $0.20/hr | |
RTX 5090 | 32GB | Consumer | $0.34/hr | |
H100 | 80GB | Enterprise | $1.84/hr | |
H200 | 141GB | Enterprise | $2.28/hr | |
B200 | 180GB | Flagship | $3.38/hr |
10+ data centers across 3 continents. Deploy closer to your users for minimal latency.
Hong Kong
1200+ GPUs Available
Singapore
800+ GPUs Available
Tokyo
600+ GPUs Available
Seoul
400+ GPUs Available
San Francisco
1500+ GPUs Available
New York
1000+ GPUs Available
Chicago
500+ GPUs Available
Frankfurt
900+ GPUs Available
London
700+ GPUs Available
Amsterdam
400+ GPUs Available
APAC
North America
Europe
Deploy GPU instances with just a few lines of code. Full API documentation available.
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 -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"
}'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}`);Estimate your costs before you deploy. Pay only for what you use.
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
Llama 3.1 405B
Mistral Large
SDXL Turbo
Whisper Large v3
DeepSeek Coder
Qwen 2.5 72B
FLUX.1 Pro
Gemma 2 27B
+ 50 more models available
From training foundation models to running real-time inference at scale
Train custom language models with distributed multi-node setups. Support for DeepSpeed, FSDP, and Megatron.
Run Stable Diffusion, FLUX, and Midjourney-style models at scale with optimized inference.
Generate and process video with state-of-the-art models like Runway, Sora alternatives.
Transcription, TTS, voice cloning, and music generation with low-latency streaming.
Build autonomous AI agents with tool use, RAG, and long-context processing.
Accelerate research with Jupyter notebooks, experiment tracking, and collaboration tools.
Deploy GPU workloads on managed Kubernetes with auto-scaling, spot instance integration, and native support for popular ML frameworks.
Automatically scale your GPU fleet
Three simple steps from sign-up to your first GPU workload
Sign up with email or GitHub. Instantly receive $100 in free credits to get started.
Takes 30 secondsSelect from RTX 4090 to B200 SuperPods. Configure vCPU, RAM, and storage.
6 GPU types availableConnect via SSH, Jupyter, or API. Auto-scale from 1 to 1000+ GPUs on demand.
< 60s deploy timeGet the latest updates on new GPU availability, pricing changes, and AI infrastructure tips.
No spam. Unsubscribe anytime.
See how much you could save by switching to Lumin House AI
8× A100 GPUs on AWS
8× H100 GPUs on Lumin
Average customer saves $18,000/year
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