
Google's Gemini 3.5 Flash was highlighted at the I/O event, emphasizing increased processing speed. However, this comes at the expense of token efficiency and cost, suggesting a trade-off between performance and operational expenses. This development is part of Google's efforts to enhance AI capabilities.
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.
Lev Selector · March 6, 2026 · Related
Google DeepMind · May 15, 2026 · Background
Google AI Blog · May 19, 2026 · Related
TechCrunch AI · May 19, 2026 · Related
The Verge AI · May 19, 2026 · Background
GitHub Changelog · May 19, 2026 · Background
AI Explained · May 20, 2026 · Related
Google AI Blog · May 20, 2026 · Background
Matt Wolfe · May 23, 2026 · Related
Google DeepMind · July 21, 2026 · Background
AI News · July 21, 2026 · Related
The Rundown AI · July 22, 2026 · Related
The Verge AI · September 2, 2026 · Related