RealFeedApp One AWS trn2.48xlarge server serves GLM-5.3-Flash
The 320-billion parameter GLM-5.3-Flash model processes 3.57 million tokens per minute on an AWS trn2.48xlarge server. NKI layer optimization reduced the decode step time from 32.2 ms to 24.2 ms.
- Field
- applying language models
- What they did
- Developers demonstrated that the GLM-5.3-Flash model with 320 billion parameters can be served on a single AWS Trainium2 server, achieving a processing speed of 3.57 million tokens per minute. They achieved this by rewriting the model's decoding code using NKI kernels and building a context cache.
- Why it matters
- This enables the model to handle million-token requests and respond within three minutes, making it suitable for real-world scenarios with agents where speed and handling large data are critical.
#glm-5.3-flash#trainium2#inference#optimization#aws
