Chainzano Blog
AI Software
Model preparation, serving, resource control and software layers for production AI.
intermediate5 min read
Choosing AI Precision: BF16, FP8, INT8 and INT4
Lower numeric precision can reduce memory use and increase throughput, but each format changes model quality, hardware support and operating risk. Selection requires measured evidence.
intermediate5 min read
Inside a Production Model-Serving Stack
A production AI endpoint needs routing, model workers, scheduling, observability and controlled releases. Each layer must protect response quality while using available accelerator capacity efficiently.
advanced5 min read
Sharing GPUs Without Losing Control
Shared accelerator pools can improve use and access, but isolation, placement and service policy must remain clear. The correct method depends on workload behavior and risk.