
Google DeepMind has introduced the Gemini 3.6 Flash series, which includes the 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber models. The 3.6 Flash model improves token efficiency by 17% and reduces costs, enhancing coding and knowledge work. The 3.5 Flash-Lite model is optimized for high throughput tasks, offering 350 output tokens per second. Meanwhile, the 3.5 Flash Cyber model is tailored for cybersecurity, detecting and fixing vulnerabilities efficiently. These models are now available for developers and enterprises, promising advancements in AI agent performance and cybersecurity.
Read originalEarlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
This release quietly closes the hardware gap for local inference by adding default support for CUDA 13 and ROCm 10.0 across Linux and Windows. Users with newer NVIDIA GPUs or AMD accelerators no longer need to compile from source to get performance, while Apple Silicon builds now ship KleidiAI disabled by default, shifting the focus back to standard ARM optimizations. The inclusion of Snapdragon support for Linux and Android marks a significant step toward on-device AI beyond the x86/ARM desktop ecosystem. It is less about new features and more about ensuring llama.cpp remains the universal runtime for every available accelerator.
Speculative decoding just got a significant speed boost on NVIDIA GPUs. This release introduces a specialized kernel for 'few-row' matrix multiplications, targeting the small batch sizes typical of verification passes in speculative decoding workflows. By optimizing these specific operations for quantized formats like Q8_0 and IQ4 variants, llama.cpp reduces latency where it matters most during token generation. The change is CUDA-only for now but leverages hardware capabilities from Ampere onwards, making local inference faster without requiring new model architectures or complex configuration changes.
Google DeepMind · May 15, 2026 · Same story
Google AI Blog · May 19, 2026 · Same story
Google AI Blog · May 19, 2026 · Same story
TechCrunch AI · May 19, 2026 · Same story
The Verge AI · May 19, 2026 · Same story
AI Explained · May 20, 2026 · Same story
Matt Wolfe · May 22, 2026 · Same story
Matt Wolfe · May 23, 2026 · Same story
The Rundown AI · July 22, 2026 · Same story
WIRED AI · July 30, 2026 · Related
Google DeepMind · September 2, 2026 · Same story
The Verge AI · September 2, 2026 · Same story
Matthew Berman · September 3, 2026 · Same story
Google DeepMind Unveils Gemini 3.5 Flash Cyber
6 developments