GoKawiilEnd-to-end infrastructure for training and inferencing open weight models.
Applied Compute Agent Cloud (AC2) is a researcher cockpit for end-to-end model development, inference and continual learning.
Onboard with your coding agent
The fastest way to get started is to let your coding agent set AC2 up for you. Paste this prompt into Claude Code, Cursor, Codex, or any coding agent:
Fetch https://platform.appliedcompute.com/agents.md (e.g. curl -fsSL https://platform.appliedcompute.com/agents.md) and follow its instructions to set up AC2 for me.
The agent installs the CLI, logs you in, wires up the AC2 MCP server, and walks you through your first project. Prefer to run the steps yourself? Follow the Quickstart
ac2.sdk — platform client for datasets, workloads, sessions, traces, and secrets.
— platform client for datasets, workloads, sessions, traces, and secrets. ac2.runtime — agent framework for agents, environments, orchestrators, tasks, graders, and episodes.
— agent framework for agents, environments, orchestrators, tasks, graders, and episodes. ac2.tracing — OpenTelemetry-based observability SDK. Add @traced to any function to capture timing, inputs, outputs, and nested spans. Exports to ClickHouse and Langfuse.
Quickstart Install the SDK and train a model. Runtime Define agents, environments, orchestrators, and eval tasks. SDK Manage datasets, deployments, runs, traces, and secrets from Python. MCP server Analyze eval and train traces from your editor.
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