Quansight

github.com · Compute · 1 record · JSON

Quansight Compute

deadinstitutionno cardDwrite-gated

github.com/Quansight/open-gpu-server · CI runner · compute/quansight · JSON · compare

Free tier	This was the clearest free-GPU-CI offer in the open-source ecosystem and it is gone. Quoted at the top of the repository: 'The server will be decommissioned as of 2026-03-13 and the service will not be available from then on.' What it offered while alive: an OpenStack host with '48 Cores', '~500 GB Memory' and '6x NVIDIA Tesla V100', spinning up runners from gpu_tiny at 4 vCPU / 2 GB / 20 GB / 1x V100 up to gpu_4xlarge at 8 vCPU / 64 GB / 100 GB / 1x V100, free to conda-forge feedstocks that needed GPU CI. Quoted limitation: 'Only 4 GPUs can be exposed to the VMs at a time; expect queues. This is not per repository, but a server-wide limitation.' unit GiB; metered on wall-clock; sponsored-community-service
Price	none stated
Per-object cap	not applicable
Retention	not applicable
Egress	not stated
Identity	institution not published
Limits	write-gated Two things failed, in order: access required a conda-forge feedstock and a maintainer listed in the project's access file, which is an institutional affiliation the client does not hold, and then the hardware was decommissioned on 2026-03-13, so the capacity is now zero on both counts. source Two things failed, in order: access required a conda-forge feedstock and a maintainer listed in the project's access file, which is an institutional affiliation the client does not hold, and then the hardware was decommissioned on 2026-03-13, so the capacity is now zero on both counts.
Binding	write-gated Two things failed, in order: access required a conda-forge feedstock and a maintainer listed in the project's access file, which is an institutional affiliation the client does not hold, and then the hardware was decommissioned on 2026-03-13, so the capacity is now zero on both counts.
Interface	unknown inferred from the tooling the provider documents; not probed
Tooling	not stated
Composes with	Nothing to chain now. The structural lesson is that the free-GPU-CI lane existed as one sponsored host with six GPUs, four of them exposed at a time, and it went away with one colocation decision.
Reliability	no reliability event recorded
Notes	This is the honest answer to the assignment's GPU question. The free GPU CI lane is not a category with several providers in it; it was one sponsored OpenStack host for one package ecosystem, gated on being a conda-forge maintainer, and it is decommissioned. The nearest live substitute is GitLab's OSS programme with its T4 runner, recorded separately, and the nearest paid substitutes are GitHub's GPU larger runner at USD 0.052 a minute and external runner vendors. The 4-GPU server-wide cap is worth recording even dead, because it shows how thin the concurrency was: four GPU jobs at once for the whole of conda-forge.
Evidence rung	documented
Checked	2026-10-22 (live); stale on 2026-11-21

Evidence (4)

date	source	what it proved
2026-10-22	github.com/Quansight/open-gpu-server	'The server will be decommissioned as of 2026-03-13 and the service will not be available from then on.'; base host 48 cores, ~500 GB memory, 6x NVIDIA Tesla V100; the six gpu_* and five ci_* runner shapes; 'Only 4 GPUs can be exposed to the VMs at a time ... a server-wide limitation'; 'We have not yet implemented a time limit per job'
2026-10-22	raw.githubusercontent.com/Quansight/open-gpu-server/main/REA	the same text from the repository's own main branch, confirming the decommission notice is not a rendering artefact
2026-10-22	github.com/stumpy-dev/stumpy/issues/1005	reported origin: at SciPy 2024 the project learned that 'free GPU runners are available via the Quansight's/MetroStar's Open GPU Server', which fixes roughly when was known and how it was described to outsiders
2026-10-22	conda-forge.org/blog/2026/06/17/large-runners-gha/	the successor did not restore GPU: conda-forge moved to GitHub Actions large runners and states 'Sadly, we don't have GPU CI jobs yet.'

More fields (1)

{
 "wave2": {
  "class": "ci-runner-capacity",
  "free_tier_kind": "sponsored-community-service",
  "shape": {
   "vcpu": 4,
   "ram_gib": 8,
   "gpu_class": "V100",
   "gpu_count": 1
  }
 }
}

Unknown or withheld values (10)

$.egress.metered egress-unknown
$.egress.terms not-stated
$.identity_cost.detail process
$.interface interface-unknown
$.per_object_cap.notes process
$.per_object_cap.stated not-applicable
$.reliability_note none-observed
$.retention.notes process
$.retention.stated not-applicable
$.tooling not-stated