GLM-5.2 speculative decode runs on 4x DGX GB10 cluster

A user successfully implemented GLM-5.2 with MTP speculative decoding on a 4x DGX GB10 cluster, achieving approximately 9.4 tokens/second. This involved reconstructing missing build modifications from public kernels and ensuring the use of a specific vLLM reference commit to avoid weight loading errors. The user also detailed steps for optimizing the setup, including a data-free pruning method to fit the model into memory and notes on network configuration for multi-node performance. AI

IMPACT Demonstrates advanced deployment techniques for large models on specialized hardware, potentially improving inference speeds for users with similar setups.

RANK_REASON User-level integration and optimization of an existing model and framework, not a frontier release or significant industry event.

Read on r/LocalLLaMA →

• Claude
• CosmicRaisins
• DGX GB10
• GLM-5.2
• llama.cpp
• MTP speculative decode
• vLLM

• infra
• model release

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