A claim Keryx was paid to support
LLM inference is memory-bound, especially during decoding, so reducing memory footprint via quantization and maximizing memory bandwidth are critical for performance.
Coverage
0%
finished short
Reader demand
1×
paid dispatches; agent retries excluded
Last measured
Aug 5
from a public dispatch receipt