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Get Started with Brightnode: Quick GPU Deployment for AI Workloads

Get Started with Brightnode: Quick GPU Deployment for AI Workloads

Get Started with Brightnode: Cloud GPUs for AI in Minutes


If you're working on generative AI projects, like running ComfyUI for Stable Diffusion, training/fine-tuning models, or experimenting with vision-language models (VLMs), access to reliable, low-latency GPUs in the Asia-Pacific region can be a game-changer. Hyperscalers often come with high barriers, regional restrictions, or expensive egress fees. Brightnode solves this by offering a developer-friendly GPU cloud focused on APAC.


In this short but practical video, Brightnode's CEO James Storyer walks through the entire platform, showing exactly how to go from zero to a running GPU instance in just a few minutes.



Why Brightnode?

  • APAC-first infrastructure: Deploy in regions like Singapore, India, and Indonesia for lower latency and better data locality.
  • Prebuilt AI images: Choose ready-to-go environments (PyTorch, TensorFlow, CUDA, Jupyter Lab pre-installed) so you skip hours of dependency hell.
  • Simple billing: $100 free credit on signup, wallet-based top-ups via Stripe, and real-time cost monitoring. Instances auto-stop if balance runs low.
  • Persistent storage: Create SSD/Hyperdisk volumes separately from compute to upload datasets once and attach them as needed; no repeated transfers.
  • Easy access: SSH, web terminal, or Jupyter Lab right in the browser.

Key Steps Shown in the Video

  1. Sign up: Email + password → instant $100 credit.
  2. Choose a workload: Pick a pre-configured image (e.g., PyTorch + CUDA 12.x on Ubuntu).
  3. Select region & GPU: Start with affordable options like Tesla T4 or L4; multi-GPU coming soon.
  4. Configure & deploy: Add vCPUs/RAM, attach storage if needed → live in ~3-4 minutes.
  5. Connect & work: Open Jupyter, SSH in, monitor usage/logs/costs in the console.
  6. Manage storage & costs: Keep data on persistent volumes to avoid GPU runtime charges during prep.

The video is concise and demo-heavy, perfect if you want to see the UI and flow in action rather than reading docs.


Whether you're deploying ComfyUI for image generation, running inference on large models, or just need a quick GPU for experimentation, Brightnode makes it frictionless, especially if you're based in or targeting APAC users.


Head to brightnode.cloud to claim your free credit and try it yourself. The platform is still early, so feedback is welcome as they expand regions, GPU types, and features.


Have you tried Brightnode yet? Or are you running ComfyUI/Stable Diffusion workflows in the cloud already? Drop a comment below!