GPU compute your agent can use safely
Run commands from a local project on bounded remote GPUs while the agent and Git workflow stay local.
Amics gives coding agents and developers the same provider-neutral command-line interface to remote GPU compute. You approve a maximum price and runtime. Amics snapshots the project, runs one literal command, streams its output, records the result, and stops auto-acquired compute by default.
curl -fsSL https://downloads.amics.ai/cli/install.sh | sh
amics login
amics skill install
amics gpu options --min-vram 24 --max-runtime 30m
# Replace this placeholder with a family returned above, without spaces.
amics run \
--gpu CHOSEN_GPU_IDENTIFIER --min-vram 24 \
--max-hourly-price 1.50 --max-runtime 30m \
-- nvidia-smi --query-gpu=name,memory.total --format=csv,noheaderWhat you can do now
Execute training, evaluation, rendering, and batch commands on a remote GPU.
Install the Amics skill so an agent follows the spend, secret, and lifecycle rules.
Follow logs, inspect an interrupted command, cancel it, or detach safely.
The boundary
| Stays local | Goes to the remote run |
|---|---|
| Coding agent and chat history | Selected project snapshot |
| Git credentials and commits | Literal command arguments |
| Agent login and saved Amics credential | Environment values named with --env, including workload credentials |
| Source edits and experiment decisions | Process stdout, stderr, and exit status |
Amics is not SSH, a remote desktop, a live filesystem mount, or a locally attached CUDA device. It is bounded command execution with durable run state.
Choose a path
Install, authenticate, check capacity, and run a first command.
Give Codex, Claude Code, Cursor, or another compatible agent the Amics skill.
See the command surface, output modes, and exit statuses.
Integrate GPU options, snapshots, runs, and output directly.
Documentation for agents
Documentation pages are available as Markdown by appending .md to their URL
or requesting Accept: text/markdown. The homepage is /index.md.
Use /llms.txt for the page index and /llms-full.txt
for the complete corpus.