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How-to guide

Migrate to the v0.11.0 lineup

v0.11.0 simplifies the lineup to four plans and four runtime variants, retiring the medium-cpu and large-cpu configurations. The move is an in-place variant swap on a GPU host — never automatic, and your data is preserved throughout.

With v0.11.0 the Elevarq product lineup is simplified to four plans, four runtime variants — and two CPU variants are retired: medium-cpu and large-cpu (the mid-size and large models on CPU). This guide covers why, who is affected, and exactly how to move.

The lineup at a glance

PlanRuntime variantModelIncluded databases
Startersmall-cpucompact CPU model1
Professionalmedium-gpumid-size GPU model3
Businesslarge-gpularge high-throughput GPU model25
Enterprisexlarge-gpuhighest-capability GPU modelcontract-defined

Only the Starter model runs on CPU; every larger model is GPU-only. The Business tier uses a high-throughput architecture that delivers large-model narration quality at GPU speed.

Why the change

Running the mid-size models on CPU added cost without product benefit. In validation, the mid-size model on CPU was slower than the Starter model on the same hardware — over 45 minutes for some reports — with no reliable quality gain, while the GPU variants deliver the same or stronger analysis in seconds to tens of seconds (Professional: ~30 s per snapshot; Business: ~40 s, ~102 tokens/s, both validated on an A10G-class GPU). Retiring the CPU mid-tiers removes the worst-value configurations from the lineup.

Who is affected

  • You run medium-cpu (mid-size model on CPU) → your plan (Professional) now runs medium-gpu. You move to a GPU host.
  • You run large-cpu (large model on CPU) → your plan (Business) now runs large-gpu. You move to a GPU host.
  • You run small-cpu, medium-gpu, large-gpu, or xlarge-gpu → nothing changes; no action needed.

How to migrate

The move is a variant swap on a GPU host — the same in-place procedure as any plan upgrade, and your data is preserved throughout:

  • Provision a GPU host for your variant — sizing, VRAM minimums, and validated instance types are in the sizing guide. (medium-gpu: ≥16 GiB VRAM, e.g. g5.xlarge; large-gpu: ≥24 GiB VRAM and 32 GiB host RAM, e.g. g5.2xlarge.)
  • Back up first, as for any upgrade — see the release-upgrade guide.
  • Swap the image variant (medium-cpumedium-gpu, large-cpularge-gpu) keeping the same persistent volumes and the same master key. Registered databases, analysis history, reports, findings, users, and settings all carry across unchanged.
  • Verify: the Insights page shows the GPU variant being served; reports enrich in seconds rather than minutes.

The move is never automatic. Elevarq never silently migrates a CPU deployment to GPU — you provision the host and perform the swap. Until you do, a deployment still serving a retired variant keeps working but shows a migration warning in Workbench naming the replacement variant.

Licenses

  • Existing licenses for current variants are unaffected.
  • A license that requests a retired variant (medium-cpu / large-cpu) is refused at runtime with a clear "no longer supported" error naming the replacement — never an ambiguous model-load failure, and never a silent substitution. Contact us and we reissue the license for the GPU variant of your plan at no plan change.

Database limits and add-ons

The included database counts are 1 / 3 / 25 / contract-defined (see the table above). Two add-ons extend any plan:

  • Additional databases — raise your plan's database count without a plan change.
  • Parallel GPU concurrency (Professional and Business) — one flat unlock that lets a deployment analyze several databases at the same time on one GPU. It is bounded by the GPU's memory and never metered per database.

Current add-on pricing is on the pricing page.

Entitlement vs capacity

Your plan's database count is a commercial entitlement — how many databases your license admits. It is not a claim about raw technical capacity, and we deliberately make no "thousands of databases on one node" promises: the numbers we publish are the configurations we validate. If your estate is larger than the Business plan's 25 databases, that is the Enterprise conversation — scale is sized and contracted explicitly.

Run Elevarq

docker pull ghcr.io/elevarq/elevarq:v<version>-small-cpu

Pin a digest in production — verify the image.