diff --git a/environment-setup/deploy-local.mdx b/environment-setup/deploy-local.mdx index 2fa8e21..82f22a8 100644 --- a/environment-setup/deploy-local.mdx +++ b/environment-setup/deploy-local.mdx @@ -7,7 +7,7 @@ description: "Run a tracebloc workspace on a single machine — laptop or on-pre ## Prerequisites -- A machine: macOS, Linux, or Windows · 2 CPU · 4 GB RAM · 20 GB free disk. +- A machine: macOS, Linux, or Windows · 2 CPU · 5 GB RAM · 10 GB free disk to run (4 CPU · 16 GB · 50 GB to train on it). - Your **Client ID** and password from the [clients page](https://ai.tracebloc.io/clients). That's it — no Docker or Kubernetes knowledge needed. The installer sets up Docker and the cluster for you. diff --git a/environment-setup/quickstart.mdx b/environment-setup/quickstart.mdx index 333e179..dd5622d 100644 --- a/environment-setup/quickstart.mdx +++ b/environment-setup/quickstart.mdx @@ -13,10 +13,10 @@ A running workspace in about 10 minutes, with one command. Deploying on a specif | You need | Minimum | |---|---| -| A machine | macOS, Linux, or Windows · 2 CPU · 4 GB RAM · 20 GB free disk | +| A machine | macOS, Linux, or Windows · 2 CPU · 5 GB RAM · 10 GB free disk | | A tracebloc account | [Sign up free](https://ai.tracebloc.io) — no credit card | -The installer runs below these too — it only warns, and more RAM mainly helps once models train. +That's enough to run a workspace. To **train on this machine**, give it 4 CPU · 16 GB RAM · 50 GB disk — a single training job alone reserves ~8 GB. The installer checks before it starts: below the minimum it stops on Linux (on macOS/Windows it warns — raise Docker Desktop's memory in Settings → Resources). diff --git a/environment-setup/setup-guide.mdx b/environment-setup/setup-guide.mdx index a9eb9bb..4a0fffd 100644 --- a/environment-setup/setup-guide.mdx +++ b/environment-setup/setup-guide.mdx @@ -13,13 +13,13 @@ The installer deploys a **single-node workspace on one machine** — a local Kub ## Requirements -The installer runs on any modern machine (one host per workspace). These are the minimum specs to run a workspace comfortably: +The installer runs on any modern machine (one host per workspace) and **checks these before it starts** — below the minimum it stops on Linux with a clear message (on macOS/Windows it warns; raise Docker Desktop's memory in Settings → Resources). "To run" keeps a workspace online; **training on the same machine needs the headroom** — a single training job alone reserves ~8 GB. -| | Minimum | Recommended | +| | To run the workspace | To train on this machine | |---|---------|-------------| -| **CPU** | 2 cores | 8+ cores | -| **RAM** | 4 GB | 16+ GB | -| **Disk** | 20 GB free | 50+ GB free | +| **CPU** | 2 cores | 4+ cores | +| **RAM** | 5 GB | 16 GB | +| **Disk** | 10 GB free | 50+ GB free | **Supported platforms:** macOS (Intel & Apple Silicon) · Linux (x86_64 & arm64) · Windows (x86_64 & arm64)