Intel Gaudi Boosts Inference Speed with Assisted Generation Support
Key point
Intel Gaudi now supports Speculative Sampling-based Assisted Generation, boosting LLM inference speed by up to 2x.
Details
As LLMs grow in size, optimization to reduce inference cost and power consumption has become essential. Hugging Face has begun offering optimized support for Assisted Generation (Speculative Sampling) on Intel Gaudi processors.
This feature has been integrated into the Optimum Habana library, which provides AI workflows optimized for Intel Gaudi through Hugging Face libraries such as Transformers and Diffusers.
Speculative Sampling is a technique in which a small draft model generates tokens first, which are then verified by the target model. This approach can be expected to deliver approximately 2x speedup on large transformer models. Users can simply specify the draft model via the assistant_model parameter when calling generate().
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