Databricks
Databricks Lakebase Search GA: pgvector at billion scale
Generally available Lakebase Search adds pgvector-compatible vector search and BM25 to Lakebase Postgres at 1B vector scale with 32x compression.
#compute
10 stories tagged compute.
Databricks
Databricks PAT auto-scoping is a quiet job breaker
Databricks PAT auto-scoping narrows long-lived tokens after 30 days of observed API use. Audit automation now before jobs fail.
Databricks
Databricks Data Intelligence Platform, explained for builders
Storage, compute, governance and AI on open Delta tables: how the Databricks Data Intelligence Platform fits together and where the cost goes.
Business
The bill for frontier AI is now measured in gigawatts
Frontier AI spending has shifted from clever algorithms to power and concrete. A single gigawatt data center now costs about 30 billion dollars to build.
Engineering
AI chips give 24x more per dollar, if you can afford the sticker
AI chip performance per dollar improves about 37 percent a year, yet each new flagship costs more upfront. The GB300 delivers 24 times the value of a P100 at nine times the price.
Data
Three-quarters of the world's AI compute sits in one country
The United States holds about 75 percent of global GPU cluster performance. That concentration shapes pricing, latency, and policy for everyone building elsewhere.
Research
The scaling curve nobody wants to extrapolate
Training compute for frontier models has grown about 5 times a year since 2020. The scatter looks clean, but every data point sits to the left of the real question.
Research
Training costs rise 3.5x a year. Efficiency is the only brake
Frontier training costs climb about 3.5 times a year while algorithms get 3 times more efficient. The two trends are racing, and the gap decides who can still compete.
Business
The gigawatt build-out is the real AI race now
The largest AI data center already rivals 700,000 H100 chips, and a 5-million-equivalent campus is due by 2027. Power and concrete, not chips, set the new pace.
Engineering
The world's AI compute now doubles every seven months
Doubling every seven months, the installed stock of AI chips grows 3.4 times a year, and the bottleneck has shifted to power and buildings.