
AMD Pushes P100 Embedded to 12 Cores and 80 TOPS
AMD expands its Ryzen AI Embedded P100 family with six new 8-to-12-core processors delivering 80 system TOPS, targeting industrial automation, robotics, and medical imaging.
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AMD expands its Ryzen AI Embedded P100 family with six new 8-to-12-core processors delivering 80 system TOPS, targeting industrial automation, robotics, and medical imaging.

A developer ported NVIDIA's PersonaPlex 7B speech-to-speech model to native Swift using MLX, running full-duplex conversation on Apple Silicon with no cloud, no Python, and faster-than-real-time inference.

Apple's cheapest Mac ever packs the A18 Pro iPhone chip with a 16-core Neural Engine - but its 60 GB/s memory bandwidth puts a hard ceiling on what local models you can actually run.

Apple launches M5 Pro and M5 Max MacBook Pros with Neural Accelerators in every GPU core, 128GB unified memory, and 614GB/s bandwidth - enough to run Llama 70B on a laptop.

AMD launches the first desktop processors with Copilot+ qualified NPUs, putting 50 TOPS of on-device AI into AM5 desktops starting Q2 2026.

Alibaba completes the Qwen 3.5 lineup with four small models - 0.8B, 2B, 4B, and 9B - all natively multimodal, 262K context, Apache 2.0. The 9B outperforms last-gen Qwen3-30B and beats GPT-5-Nano on vision benchmarks.

Qwen3.5-0.8B is the smallest natively multimodal model in the Qwen 3.5 family - 0.8B parameters handling text, images, and video with 262K context. MathVista 62.2, OCRBench 74.5. Apache 2.0.

Qwen3.5-2B is a 2B dense multimodal model with 262K context, thinking mode, and native vision including video understanding. OCRBench 84.5, VideoMME 75.6. Apache 2.0 licensed.

Qwen3.5-4B is a 4B dense multimodal model that matches Qwen3-30B on MMLU-Pro and beats GPT-5-Nano on vision benchmarks. Runs on 8GB VRAM, Apache 2.0 licensed, 262K-1M context.

Complete specs, benchmarks, and analysis of the Hailo-10H - a 2.5W edge AI accelerator with 40 TOPS INT4, on-module LPDDR4, and the ability to run LLMs and VLMs on a Raspberry Pi at 10 tokens per second.

PicoClaw runs OpenClaw-compatible skills on a Raspberry Pi 5. We tested whether a $10 edge AI agent can deliver meaningful automation on hardware you can hold in your hand.

Comparing Kimi K2.5's trillion-parameter benchmark dominance against Qwen3.5-27B's single-GPU accessibility - two models from entirely different tiers that both have compelling use cases.