Using FPGAs to Cut ML Inference Costs Amid RAM Inflation
A technical discussion explores whether FPGAs can offload ML inference by streaming model weights from disk instead of keeping them in increasingly expensive RAM, trading tokens-per-second for lower-cost throughput. Replies note FPGAs already suit small, latency-sensitive workloads but remain memory-transfer bound for large models.
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