Spotify
Recommendations

Advancing Generative Recommendation Inference: our collaboration with NVIDIA on TensorRT LLM

Our short summary of Spotify’s engineering write-up. The full story, with all the detail, is on their blog.

Read the full write-up on engineering.atspotify.com (opens in a new tab)

Problem

Personalized recommendations needed real‑time, multi‑surface inference that could scale beyond a proof‑of‑concept.

Solution

Spotify built a generative recommendation system that uses a large language model with beam search to generate semantic IDs, then switched from vLLM to NVIDIA TensorRT LLM for GPU‑optimized inference.

Research behind this, on AI Papers DailyTAMEing the Open-World Personalization: Towards Open-Set Personalized MLLM Assistant

Want the architecture, code and numbers? They’re in the original post.

Read the full write-up on engineering.atspotify.com (opens in a new tab)

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