← Infra Atlas · Cross-Cloud · Equivalent-SKU Finder

Equivalent-SKU Finder.

Pick an instance type on one cloud — the finder translates it to the closest match on every other cloud. Each result carries a transparent match score, so you can see exactly why it ranked where it did.

Translate a SKU.
Pick a source cloud, then a source instance type — matches appear below.
Pick a source instance type.
The finder ranks the closest type on every other cloud.
Method

How the match score is computed.

Three additive axes — vCPU, memory, category — sum to a 100-point base. That base is then multiplied by an architecture factor: ×1.0 when the architecture matches, ×0.55 when it doesn't. Architecture is a multiplier rather than just another delta because an image built for x86 will not boot on Arm — a cross-architecture “equivalent” is capped at 55 however well its sizes line up. Sizing axes use a log₂ ratio penalty, so a doubling matters the same whether you go from 2 → 4 vCPU or 64 → 128. Nothing here is a black box: the chips under every result spell out the exact deltas that produced its score.

vCPU 50 pts

The dominant axis. An exact vCPU match keeps all 50 points; every doubling or halving away from the source costs the full weight.

50 × max(0, 1 − |log₂(cand ÷ src)|)
Memory 38 pts

Same log-ratio shape as vCPU. If either side's memory is unknown, this axis is dropped and the base is renormalised across the remaining axes — the result is still scored, just on fewer axes.

38 × max(0, 1 − |log₂(cand ÷ src)|)
Category 12 pts

General, compute, memory, storage, accelerated, HPC. An exact category earns 12; an adjacent one — e.g. general next to compute or memory — earns 6; anything else earns 0.

exact → 12  ·  adjacent → 6  ·  else → 0
Architecture ×0.55 factor

x86 vs Arm — applied as a multiplier on the 100-point base, not an additive axis. Same architecture leaves the score untouched; a mismatch scales it to 0.55 and is flagged red.

same arch → ×1.0  ·  differs → ×0.55
Reading the score

Per cloud, the finder shows the three highest-scoring types. The top score colours by confidence band, and the chips below each row break the score back down into its parts.

85–100 · close equivalent 65–84 · workable, check deltas < 65 · loose — sizes diverge, or arch differs
Honest gaps

Google Cloud's public dataset publishes machine types but not memory, so its vCPU count is read straight from the documented type-name suffix (n4-standard-8 = 8 vCPU) and its memory is left unscored. Some Azure burstable sizes and OCI / OVH bare-metal and storage SKUs ship without published vCPU or memory — those are excluded as candidates rather than guessed at. Specs come verbatim from each instrument's own dataset; none are invented here.