CORTEXGemini
Bring Google AI directly to your AWS and Azure data
Historically, running advanced analytics or training ML models across clouds meant a cross-cloud tax: high egress fees, network latency, and fragile ETL pipelines. The borderless Lakehouse solves this with Cross-Cloud Interconnects. These private, dedicated links deliver consistent bandwidth and lower latency than the public internet, at a fraction of the cost of traditional cross-cloud connections. The borderless Lakehouse supports zero variable egress costs when accessing your data from AWS1.
29 juil.