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research · [2 sources] · · 한국어(KO) Google for Developers (@googledevs) Kaggle의 Benchmarks Resource Grant Program이 신청 마감 중간 시점에 도달했다. 선정된 프로젝트는 무료 컴퓨트 할당량, 인프라 지원, 기술 자문을 받아 AI 벤치마크 개발을 확장할 수 있다.
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Google launches faster Gemma 4 and expands Kaggle benchmark grants

Google has announced that its Gemma 4 model now operates up to three times faster due to the introduction of MTP drafters. This enhancement allows the model to predict and output multiple tokens simultaneously, significantly boosting inference speed while maintaining output quality and intelligence. The update focuses on improving model inference performance. AI

Summary written by gemini-2.5-flash-lite from 2 sources. How we write summaries →

IMPACT Potential for faster AI model inference could accelerate development and deployment of AI applications.

RANK_REASON Announcement of performance improvements and new features for an existing model.

Read on Mastodon — fosstodon.org →

COVERAGE [2]

  1. Mastodon — fosstodon.org TIER_1 한국어(KO) · [email protected] ·

    Google for Developers (@googledevs) has reached the halfway point for applications to Kaggle's Benchmarks Resource Grant Program. Selected projects will receive free compute quotas, infrastructure support, and technical advice to scale their AI benchmark development.

    Google for Developers (@googledevs) Kaggle의 Benchmarks Resource Grant Program이 신청 마감 중간 시점에 도달했다. 선정된 프로젝트는 무료 컴퓨트 할당량, 인프라 지원, 기술 자문을 받아 AI 벤치마크 개발을 확장할 수 있다. https:// x.com/googledevs/status/205164 8107767558266 # kaggle # benchmarks # compute # infrastructure # ai

  2. Mastodon — fosstodon.org TIER_1 한국어(KO) · [email protected] ·

    Google for Developers (@googledevs) announced that Gemma 4 runs up to 3x faster with newly released MTP drafters. It explains that while significantly increasing output speed by predicting multiple tokens at once, it maintains quality and intelligence levels, improving model inference performance.

    Google for Developers (@googledevs) Gemma 4가 새로 공개된 MTP drafters를 통해 최대 3배 더 빠르게 동작한다고 발표했다. 여러 토큰을 한 번에 예측해 출력 속도를 크게 높이면서도 품질과 지능 수준은 유지한다고 설명해, 모델 추론 성능 개선 측면에서 주목할 만한 업데이트다. https:// x.com/googledevs/status/205170 0498328346945 # gemma # llm # ai # inference # google