10 results for “Gemma”
NVIDIA's Groq 3 LPX accelerator hit 3,431 output tokens per second on the Artificial Analysis 100K context benchmark with Gemma 4 31B. The result enables responsive multi-agent systems that can process full session histories at long context lengths.
Google DeepMind announced its Gemma open models have surpassed one billion downloads and 100,000 community variants. The milestone underscores Gemma's role as a default substrate for open-weights AI development across space, healthcare, and research.
Series end: what Google confirmed under Kavukcuoglu’s SVP seat — and what is still analysis or unknown. Reporting map + Confirmed / Analysis / Unknown.
Related angle: OpenAI and Anthropic’s summer 2026 release tempo — the competitive pressure behind DeepMind’s shipping-speed remake.
Alphabet is founding investor and Cloud partner in Jeff Dean and Sanjay Ghemawat’s Discovery Loop PBC. The spin-out automates scientific loops while Gemini product AI consolidates under DeepMind’s new SVP.
Series start (Aug 5, 2026): Kavukcuoglu named DeepMind SVP; Hassabis becomes chair and Alphabet chief scientist; Dean & Ghemawat exit to a PBC.
LTX, the open world model company spun out of Lightricks, has released LTX-2.5 — a rebuilt video and world model that generates a 10-second, 720p clip. The release reinforces a business model bet that open weights — not closed APIs — will.
Meta's Superintelligence Labs has released Muse Glimmer, a 30-billion-parameter open-weight model built specifically for always-on local agent workflows. Local agentic models change the economics of AI deployment.
A developer known as slvDev has demonstrated a 28.9-million-parameter language model generating text at 9.88 tokens per second on an ESP32-S3. Running a language model on a sub-$10 microcontroller changes the cost floor for local AI.
Liquid AI has released the LFM2.5 model family, a comprehensive suite of open-weight models designed to run entirely on edge devices without cloud. The LFM2.5 releases address three critical constraints that have limited on-device AI.