GLM-5-FP8
A large model in the GLM series introduced by Zhipu AI, deployed in the FP8 quantization format and suited to inference acceleration scenarios.
Timeline (last 90 days)
On Amazon EC2 P5en instances with EFA networking, GLM-5-FP8 achieved up to a 3.3x improvement in TTFT.
The FP8-quantized GLM-5 shows significantly higher gains, and one reasonable explanation is that an FP8 model has higher single-prefill compute throughput and the absolute time of repeated prefill accounts for a larger share, so the benefit of eliminating recomputation is also more pronounced.
The 3.3x figure is a peak value under a specific configuration rather than a general value; model size, quantization precision, and context length all affect the final multiplier.
All Facts (3)
On Amazon EC2 P5en instances with EFA networking, GLM-5-FP8 achieved up to a 3.3x improvement in TTFT.
50%UnverifiedThe FP8-quantized GLM-5 shows significantly higher gains, and one reasonable explanation is that an FP8 model has higher single-prefill compute throughput and the absolute time of repeated prefill accounts for a larger share, so the benefit of eliminating recomputation is also more pronounced.
50%UnverifiedThe 3.3x figure is a peak value under a specific configuration rather than a general value; model size, quantization precision, and context length all affect the final multiplier.
50%