AI Workloads, Ready to Run
Pick a workload. We configure the environment. Deploy in Singapore and start building.
Deploy AI workloads in APAC in < 5mins
TensorFlow
vLLM
PyTorch
Ubuntu CUDA
ComfyUIWhat teams build on Brightnode
From inference and fine-tuning to agents and compute-heavy workflows, all in APAC with one deployment path.
Inference
Serve LLMs, image generation, and audio models at scale. Pre-configured ComfyUI, vLLM, and custom endpoints, deploy in minutes, scale as you grow.
Browse models →Fine-tuning
Train and adapt models on your data. PyTorch and TensorFlow templates on A100/V100. Persistent storage, no vendor lock-in.
Fine-tune in Workspaces →Agents & automation
Run agent backends, tool-calling services, and batch pipelines. GPU when you need it, pay per second when you use it.
Router + workloads →Compute-heavy tasks
Rendering, simulation, and media processing. Full GPU access, bring your own container or use our templates.
See workspace templates →Your Workload, Ready to Run
Pick a workload, we configure the environment. No GPU selection, no dependency hell, no waiting. Just deploy and build.
Log In & Select Workload
Sign up instantly with $100 credit, then choose from PyTorch, TensorFlow, ComfyUI, or vLLM templates.
Pick Region & GPU
Select Singapore or APAC region for low latency. Choose T4, L4, V100, A100 - all instantly available.
Deploy & Connect
One click deploy. In ~45 seconds your GPU is live with SSH, Jupyter, or web UI ready.
$100 FREE CREDIT INCLUDED • NO CREDIT CARD REQUIRED
Choose Your Workload. We Handle the Rest.
Pick what you want to run. We recommend the right GPU and pre-configure everything.
ComfyUI
AI image generation and creative workflows. Pre-configured with popular models and nodes.
Perfect for: Agencies, creators, marketing teams
Deploy ComfyUIPyTorch
Model training, fine-tuning, and research workflows. Optimized for performance.
Perfect for: ML teams, researchers
Deploy PyTorchUbuntu CUDA
Custom workloads, full control
Perfect for: Advanced developers
Deploy Ubuntu CUDAAll workloads include pre-installed drivers, dependencies, and optimizations for APAC regions. Review all available GPU types
GPU tiers for every workload
We recommend the right GPU for your template. Pay per second, no hourly minimums, no long-term commit.
T4 / P4 / L4
16–24GB VRAM
From $0.50/hr
Available now
ComfyUI, small–medium LLMs, dev and light inference
A100 / V100
40–80GB VRAM
From ~$2–4/hr
Available now
vLLM, fine-tuning, 70B+ models, production inference
H100 / B200
80GB+ VRAM
On request
Capacity on request
Large training runs, maximum throughput, frontier models
Full pricing, pay per second, free egress within APAC.
From code to cloud
Deploy, scale, and run, without managing infrastructure. Everything you need in one workflow.
Launch in seconds
Pick a template (ComfyUI, vLLM, PyTorch, TensorFlow), we attach the right GPU and start the container. No provisioning tickets, no quota waits.
Persistent storage
Attach SSD volumes that survive restarts. Store models, datasets, and checkpoints without re-downloading. No egress fees within APAC.
APAC regions
Deploy in Singapore today; more regions coming. Low latency for you and your users in Southeast Asia and the wider APAC.
Bring your stack
Use our templates or bring your own Docker image. Full GPU access, SSH, Jupyter, or web UI, you choose the interface.
Workload FAQ
Common questions about GPU workloads, storage, and regions.
We support Python, Node, and any stack that runs in Docker. Our templates ship with PyTorch, TensorFlow, ComfyUI, vLLM, and Ubuntu CUDA. You can also deploy your own container with full GPU access.
More questions? Full FAQ or contact us.