TPU v5e
PulseAugur coverage of TPU v5e — every cluster mentioning TPU v5e across labs, papers, and developer communities, ranked by signal.
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Small open-weight LLMs benchmarked on Google Cloud TPU v5e
A guide details how to benchmark small, open-weight language models on a single Google Cloud TPU v5e chip using vLLM. The experiment uses Gemma 4 E2B as a baseline, evaluating models like Qwen3-4B, SmolLM3-3B, and Grani…
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New CutBCE method optimizes recommender system training, reducing memory use and speeding up computation
Researchers have developed CutBCE, a novel method for optimizing Binary Cross-Entropy (BCE) loss in large-vocabulary recommender systems. This approach addresses memory limitations and Out-Of-Memory errors that arise wh…
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Google's Gemma 4 models repacked for enhanced performance on single TPU v5e
A technical guide details how to repack Google's quantization-aware-trained (QAT) Gemma 4 models for improved performance on a single Google Cloud TPU v5e chip. The repacked models, particularly the 12B parameter versio…
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Self-host AI agent backend on single Google Cloud TPU v5e chip
A technical guide details how to self-host a lightweight AI agent backend on a single Google Cloud TPU v5e chip. The setup utilizes the Gemma 4-E2B model with the vLLM inference engine, achieving a throughput of 1,496 o…