Probably using non-public models (that will never be public) and reviewed by engineers that know what they are doing. Not just some random guy that is into "vibe coding".
Archive: https://archive.today/iEtlI
From the post:
>The pace of technological change since last year’s Cloud Next has never been faster, and Google Cloud has incredible momentum.
Our first-party models now process more than 16 billion tokens per minute via direct API use by our customers, up from 10 billion last quarter. To support and drive this growth, in 2026, just over half of our overall machine learning compute investment is expected to go towards the Cloud business to benefit our cloud customers and partners.
You can read all about our momentum and the extraordinary range of partnerships and innovations we’re announcing at Cloud Next.
Probably using non-public models (that will never be public) and reviewed by engineers that know what they are doing. Not just some random guy that is into "vibe coding".
Archive: https://archive.today/iEtlI
From the post:
>>The pace of technological change since last year’s Cloud Next has never been faster, and Google Cloud has incredible momentum.
Our first-party models now process more than 16 billion tokens per minute via direct API use by our customers, up from 10 billion last quarter. To support and drive this growth, in 2026, just over half of our overall machine learning compute investment is expected to go towards the Cloud business to benefit our cloud customers and partners.
You can read all about our momentum and the extraordinary range of partnerships and innovations we’re announcing at Cloud Next.
