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AI accelerator memory specification methodology

Compares first-party reported memory capacity and bandwidth for a fixed, reviewed cross-vendor accelerator cohort.

Version
1-datacenter-accelerators-v1-2026-07-26
Published
Jul 26, 2026
Live boards
1
Method ID
ai-accelerator-memory-specs

Where the facts come from

Source Policy

Only linked NVIDIA or AMD first-party product documentation and announcements; no reseller or inferred specifications.

How the order is produced

Memory capacity descending, then memory bandwidth descending, then stable entity slug.

When the method reruns

  • event_driven_with_daily_review_check

Boards using this version

Only live, quality-gated boards appear. Each board opens on the exact published table and evidence path.

BoardPrimary measureRowsConfidenceFreshnessBoard versionCadenceEvidence
AI Accelerator Memory Specificationsai-accelerator-memory-specsaccelerator-memory-capacity-gb5100% current1-datacenter-accelerators-v1-2026-07-26event_driven_with_daily_review_checkOpen board →

Complete measurement ledger

These fields are stored with the methodology version. A changed contract must publish a new version before comparable movement can resume.

Cohort

Selection

A fixed, versioned set of generally available datacenter AI accelerators with first-party capacity and bandwidth values.

Reviewed At

2026-07-26T00:00:00+00:00

Missing Data

A missing source or value rejects the complete reviewed cohort.

Not Measured

  • benchmark performance
  • workload throughput
  • price-performance
  • power efficiency
  • availability
  • utilization
  • GPU hours consumed

Rank Formula

Memory capacity descending, then memory bandwidth descending, then stable entity slug.

Review Due At

2026-10-24T00:00:00+00:00

Source Policy

Only linked NVIDIA or AMD first-party product documentation and announcements; no reseller or inferred specifications.

Universe Version

datacenter-accelerators-v1-2026-07-26

AI accelerator memory specification methodology | Rank.ai