Claimant scorecard · AERS v2.1 · Calibrating
Microsoft and NVIDIA
1 claim tracked in the Responsibility Ledger. 1 pending grade.
AERS
—
Insufficient closed grades
Pending
1
Open horizons
Closed
0
Graded outcomes
First tracked
Jun 17, 2026
Open horizons
Microsoft and NVIDIA: Announced June 16, 2026, that Azure set a new LLM training record using 8,192 GPUs in a public cloud environment, training Llama 3.1 405B in 7.07 minutes
Invalidator — If MLCommons publishes a methodology challenge showing Azure's submission violated standardized comparison conditions, or if NVIDIA-partnered competitors (AWS, Google Cloud, Oracle) match or exceed the result within 90 days using the same hardware generation, the infrastructure-superiority claim fails and the benchmark represents hardware capability rather than Azure-specific cloud engineering advantage.
About this scorecard
The AI Execution Risk Score (AERS) is a 0-100 metric quantifying the gap between Microsoft and NVIDIA’s public AI claims and demonstrated delivery. Higher AERS = stronger track record. Each claim above is drawn from a primary source linked in the original Ledger entry; the horizon date is when the claim becomes graded under the published methodology. Materiality is the editor’s assessment of the claim’s formality from 1 (PR statement) to 5 (earnings call or SEC filing).
AERS v2.1 · Methodology in active calibration · Not investment advice.