A container cap had to be an absolute number, and docker refuses one above
the host's core count, so "use this machine" could only be written as a
number that breaks on a smaller machine. cpus now also takes a percentage,
read against the host's raw count: 100% is every CPU and lands exactly on the
ceiling docker accepts, 50% is half of it.
The share is read against that raw count rather than against the fair-share
default, because the two CPUs the resource lookup reserves exist to bound
what a service gets when it declares nothing. A service writing a percentage
overrides that default on purpose, and subtracting the reserve a second time
would count it twice and leave no way to name the whole machine.
A bare cpus: 0 is refused from here on. Docker reads a zero as uncapped
rather than as none, so the value most likely to be typed by mistake was also
the one that removed the limit; the error names the fix. No role declared
one: all 315 cpus values in the tree are plain numbers, the smallest 0.01.
Two lookups carry the resolution so that no caller repeats it or has to know
what a percentage is read against. lookup('cpus', app, service) replaces six
copies of lookup('config', ...) piped through the resolver; those six size
worker pools and thread counts from their own cpus, and left alone a
percentage would have given libretranslate a single thread and handed the
agent broker an uncapped container. lookup('webserver_resource', key)
replaces the two blocks that took the smaller of the proxy's value and the
app's, which were the same eight lines written twice for cpus and for
pids_limit.
resolve_cpus is no longer registered as a jinja filter. Nothing referenced it
from a template once the lookups existed, and keeping it would have left two
public ways to resolve one value.
Measured: 96 tests across the filter, both lookups and the container render
templates, including that a percentage resolves before the smaller of the two
is chosen, and that pids_limit stays an integer because nginx renders it
straight into worker_connections.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
resource.yml.j2 renders `runtime: nvidia` for any service that declares
`gpu: true`, gated a second time on the host carrying /dev/nvidia0 so a
CPU-only host never gets a runtime its daemon cannot resolve. The device
fact is probed in daemon_config.yml next to the kata and gVisor shims, and
daemon.json.j2 lists nvidia alongside them. nvidia stays out of
SANDBOX_RUNTIME: it passes a device through, it does not isolate.
nvidia.yml drops rival apt sources for libnvidia-container before writing
its own. The other order leaves two sources with different Signed-By keys
for one URL, which makes apt refuse the entire source list.
test_gpu_runtime.py covers both polarities and the missing device fact; the
latter caught `x.stat.exists | default(false)`, which raises on the
undefined object before the filter runs.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
kevinveenbirkenbachandClaude Opus 5