ended6월 17일· 1 sources
Custom Silicon Transformer Reaches 56,000 Tokens Per Second—No GPU Required
GPU 없이 초당 5만 6천 토큰: GateGPT의 FPGA Transformer 성과
Why it matters
GateGPT proves that GPUs aren't essential for high-performance Transformer inference—a custom FPGA design achieves 56,000 tokens per second at just 80 MHz. This gate-level hardware approach suggests a viable path toward specialized AI accelerators and opens possibilities for efficient edge deployment and low-power computing scenarios.
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FPGATransformerKV cacheCustom siliconToken throughput