$100 Free Credit on Signup

From 'I Need to Run ComfyUI' to Running ComfyUI: 60 Seconds

No GPU selection. No CUDA setup. No dependency hell. Choose your workload (ComfyUI, vLLM, PyTorch, TensorFlow), we optimize the GPU and environment. Deploy in Singapore, start creating.

Pay-as-you-go ($100 Free Credit)
Instant Availability
$100 Free Credit
system@brightnode-pod-2
[System] Initializing workload instance...

Pulling image nvidia/cuda:11.8.0...

✓ GPU attached: NVIDIA T4

✓ Container started (300ms)

Ready to traffic.

Inference StatusHealthy
Latency (p99)
42ms
Requests/sec
1,240

Deploy AI workloads in APAC in < 5mins

TensorFlow logoTensorFlow
vLLM logovLLM
PyTorch logoPyTorch
Ubuntu CUDA logoUbuntu CUDA
ComfyUI logoComfyUI

Loading live stats...

60 Second Setup

Your Workload, Ready to Run

Pick a workload, we configure the environment. No GPU selection, no dependency hell, no waiting. Just deploy and build.

< 10 sec

Log In & Select Workload

Sign up instantly with $100 credit, then choose from PyTorch, TensorFlow, ComfyUI, or vLLM templates.

< 5 sec

Pick Region & GPU

Select Singapore or APAC region for low latency. Choose T4, L4, V100, A100 - all instantly available.

~45 sec

Deploy & Connect

One click deploy. In ~45 seconds your GPU is live with SSH, Jupyter, or web UI ready.

Popular Workloads

Choose Your Workload. We Handle the Rest.

Pick what you want to run. We recommend the right GPU and pre-configure everything.

Featured
ComfyUI
T4 or L4

ComfyUI

AI image generation and creative workflows. Pre-configured with popular models and nodes.

Perfect for: Agencies, creators, marketing teams

Deploy ComfyUI
Featured
PyTorch
A100 or H100

PyTorch

Model training, fine-tuning, and research workflows. Optimized for performance.

Perfect for: ML teams, researchers

Deploy PyTorch
vLLM
A100 80GB

vLLM

Fast LLM inference serving

Perfect for: Startups, API services

Deploy vLLM
TensorFlow
V100 or A100

TensorFlow

Production ML workflows

Perfect for: Enterprise teams

Deploy TensorFlow
Ubuntu CUDA
You choose

Ubuntu CUDA

Custom workloads, full control

Perfect for: Advanced developers

Deploy Ubuntu CUDA

All workloads include pre-installed drivers, dependencies, and optimizations for APAC regions. Review all available GPU types

What Teams Say
We waited 3 weeks for capacity from our usual provider. Brightnode had us running in 10 minutes.
ML Engineer
Singapore FinTech Startup
(Name withheld by request)

Simple, Pay-Per-Second Pricing

Choose your workload tier. We recommend the right GPU.

STARTS AT
$0.50/hour

Perfect for ComfyUI, development, and light inference workloads.

NVIDIA T4$0.50/hr
NVIDIA P4$0.85/hr
NVIDIA L4$0.87/hr
NVIDIA P100$2.07/hr
High Performance
STARTS AT
$0.87/hour

For model training, fine-tuning, and production inference at scale.

NVIDIA L4$0.87/hr
NVIDIA V100$3.52/hr
NVIDIA A100$4.01/hr
NVIDIA H100$14.29/hr
NVIDIA B200on request

Pay per second. No hourly minimums. No commitments.

Network egress: free within APAC regions

Persistent storage: $0.044/GB/month

Case Study

Real Results from Real Teams

How a Singapore ML Team Cut Infrastructure Setup from 2 Days to 2 Minutes

Challenge

Team needed to fine-tune models for Southeast Asian languages but spent more time on CUDA config than training.

Solution

Deployed PyTorch workload with recommended A100, started training in <90s

Result

"We went from 2 days of DevOps to 2 minutes of clicking deploy."
— Anonymous by request
Security & Compliance

Data Sovereignty
& Compliance

Your weights and biases never leave the region. We ensure strict adherence to local data residency laws in Singapore, Indonesia, and Thailand.

DEDICATED_INFRASTRUCTURE

Isolated bare metal environments with strict access controls and monitoring.

DATA_RESIDENCY

Your data stays in-region. Full compliance with Singapore, Indonesia, and Thailand regulations.

latency_monitor.sh

Regional Latency Stats

SG -> Jakarta
12ms
SG -> Bangkok
28ms
US-East -> Jakarta
240ms
* Real-time routing optimization enabled
Built by People Who Lived the Problem

Built by Infrastructure Veterans

Jimmy Storrier and team have spent 20+ years building tech businesses across Southeast Asia.

Jimmy Storrier

Why we built Brightnode

We run AI startups in Singapore. We hit the same three walls every APAC team hits:

Quota Hell

Waited weeks for GPU access while US teams got instant approval

Latency Tax

200ms round-trips made Whisper unusable for real-time conversations

Data Sovereignty Traps

Legal clients couldn't send data to US, then hit with egress fees

"We got tired of APAC being an afterthought. So we built the infrastructure we wished existed."

Based in Singapore
LinkedIn

Frequently Asked Questions

Everything you need to know about our GPU cloud platform. Can't find the answer you're looking for? Reach out to our team.

Yes! Our platform is live and ready for production workloads. You can sign up here and get instant access to GPU instances across our APAC infrastructure.

We offer NVIDIA T4, L4, V100, A100, and H100 GPUs. See our GPU types documentation for full specs and pricing.

Our primary infrastructure is deployed in Singapore, with additional points of presence planned for Malaysia, Indonesia, and Thailand to ensure low-latency access across Southeast Asia.

Our pricing is competitive with global providers while offering significantly better performance for APAC users due to reduced latency. We also provide transparent billing with no hidden costs.

Our platform is optimized for AI/ML training and inference, batch processing, rendering, and other GPU-accelerated workloads. It's particularly well-suited for businesses serving customers in the APAC region.

Yes, we provide secure isolated environments for hosting proprietary models with enterprise-grade security. This includes dedicated infrastructure options for larger deployments.

We offer tiered support options, from community support for our starter tier to dedicated account managers for enterprise customers. All support is provided in APAC-friendly time zones.

Our infrastructure is designed with APAC data regulations in mind. We maintain strict data separation, offer data residency options, and provide compliance documentation for relevant regional standards.

Still have questions?

Contact our team
Continuous Development

Recent Updates

We ship improvements weekly. Here's what we've been building.

Feb 8

ComfyUI Template Updated

Latest ComfyUI with SDXL and ControlNet pre-installed

Feb 5

Boot Time Optimization

Reduced average workload startup to 42 seconds

Feb 2

vLLM Production Ready

Added Tensor Parallel support for 70B+ models

Jan 28

Jakarta Region Beta

Second APAC region now accepting early users

Jan 22

Persistent Storage GA

SSD volumes now persist across deployments

Jan 15

H100 Availability

H100 80GB GPUs now available in Singapore

Jan 12

Faster Boot Times

Container caching reduced cold start by 60%

Jan 8

ComfyUI with SDXL

Pre-installed SDXL models and popular custom nodes

Try It Risk-Free

Deploy Your First Workload in 60 Seconds

No credit card required
$100 trial credit on signup
Deploy in 60 seconds
Pre-configured workloads ready to run
Delete anytime
One click to stop, pay only for what you use
Deploy Your Workload

Join the First 100 Startup Teams

Early access for approved startups. We're onboarding teams across Singapore, Jakarta, and Bangkok.

Priority Support
Direct Discord access with founders
Enhanced Credits
$200 initial credit (instead of $100) then $50 credit per month ongoing
Founding Member Pricing
Lock in early rates forever
Input on Roadmap
Shape what we build next
Spots remaining
85
Last onboarding
Feb 13th
Join Early Access