Updated 2026-10-02
Google Colab's free tier gives a T4 GPU notebook with changing limits (a 12-hour session cap, a 90-minute idle timeout, GPU access not guaranteed at busy times), and you install Blender and move files in the notebook each session. JANCTION Render is a render service: send the .blend or bpy script by MCP, CLI or HTTP, get a 4-frame preview in about 4 seconds and the final MP4 from an NVIDIA RTX PRO 6000 datacenter GPU, 10 free GPU-minutes per key per day. Use Colab when you need a general GPU notebook; use JANCTION Render when the job is to render Blender, especially from an AI agent.
| Google Colab (free tier) | JANCTION Render (free beta) | |
|---|---|---|
| set-up | open a notebook, download and unpack Blender, mount Drive or upload files, every session | none: add the MCP connector, or pip install janction-render, or curl |
| GPU | T4 (16 GB) on the free tier; better GPUs on paid plans | NVIDIA RTX PRO 6000 Blackwell (96 GB) |
| limits | 12-hour session cap, 90-minute idle timeout, dynamic daily limits, GPU not guaranteed when busy | 10 GPU-minutes per key per day, 240 frames and 1080p per job; queued when the GPU is lent out |
| AI agent access | no tool interface; an agent would have to drive the notebook | MCP tools (preview, estimate, final, status, download) and an HTTP API |
| preview loop | whatever you script | 4-frame preview in about 4 GPU seconds, estimate before the final |
| files | Drive mount or manual upload; results stay in the session or Drive | upload by API; results as links for 24 hours, then deleted |
| cost | free tier, then Colab Pro plans | free beta; planned 0.1 JPY per GPU second |
| custom add-ons | yes, you control the install | no: Blender 5.0 / 5.2 with Cycles, HDRI presets, standard importers |
Colab figures from its public documentation and third-party guides as of 2026-10-02; they change often. JANCTION figures are ours.
| job | GPU time | note |
|---|---|---|
| preview, 4 frames (720p split in 4 tiles, 16 samples, denoised) | about 4 s | round trip about 8 s; the image comes back inline |
| final, 24 frames at 1280x720, 64 samples → MP4 | about 60 s | measured 2026-09-30 / 10-01 (59 s and 58 s) |
| final, one 1920x1080 frame at 128 samples | about 11 s | the estimator's baseline; heavy scenes take longer |
render_estimate gives the number before rendering; once a scene has been rendered once, the estimate uses that scene's own measurement.
Measured cases with resolution, samples, frames and GPU seconds: benchmarks.
If you want the notebook route: download the Blender Linux build, unpack it, then run it headless on the GPU:
!./blender-5.0.1-linux-x64/blender -b scene.blend -E CYCLES -o //out_ -f 1 -- --cycles-device CUDA
Keep the scene and output on Drive, because the session's disk disappears when it ends. Re-run the install each new session.
| from | how |
|---|---|
| Claude.ai (web / desktop / mobile) | Settings → Connectors → Add custom connector → https://render.janction.jp/mcp. "Connect" opens a page that creates a free key |
| ChatGPT | Settings → Connectors → Advanced → Developer mode → Create → https://render.janction.jp/mcp (OAuth) |
| Claude Code | claude mcp add --transport http janction-render https://render.janction.jp/mcp, then /mcp to authenticate |
| Codex | codex mcp add janction-render --url https://render.janction.jp/mcp |
| Cursor / VS Code | Add to Cursor Add to VS Code The button opens the editor; confirm and it is added. Manual: Streamable HTTP at https://render.janction.jp/mcp |
| Other MCP clients | Streamable HTTP at https://render.janction.jp/mcp; OAuth or Authorization: Bearer <api key> |
| Terminal (stdio, sends local files) | claude mcp add janction-render -e JANCTION_RENDER_SERVER=https://render.janction.jp -- uvx --from janction-render janction-render-mcp |
Using JANCTION Render, build a glossy red cube rotating on a grey floor and show me a 4-frame preview. If it looks right, render 24 frames at 1280x720 as an MP4.
No. The free tier's T4 is several generations older than the RTX PRO 6000 Blackwell JANCTION uses; measured JANCTION times are on the benchmarks page.
Only by driving the notebook itself (installing Blender, uploading files, running commands). JANCTION Render exposes the same steps as MCP tools.
Yes. Save the .blend, and the CLI or the agent uploads it with the textures it references.
Inputs and results are deleted 24 hours after last use; nothing is used for training.
JANCTION Render v0.4.0 · JasmyLab Inc. · 日本語