NPU
31 updates on NPU.
AMD trains its first small language model, AMD-Llama-135M, on MI250 accelerators
AMD trained a 135M model from scratch on Instinct MI250 accelerators and reports up to 3.88x faster CodeLlama-7b inference when it drafts tokens.
llm.npu prefills 1,106 tok/s for Qwen1.5-1.8B on a Snapdragon 8 Gen 3
Peking University and BUPT move prompt processing onto the Hexagon NPU and report up to 43.6x faster prefill and up to 59.5x lower energy use.
PowerInfer-2 runs a 47B model on a OnePlus 12 at 11.68 tokens per second
Shanghai Jiao Tong University researchers report a 47B model decoding at 11.68 tokens per second on a OnePlus 12, with weights streamed from flash.
BUPT proposes one 9.2B model in the OS that all apps call through adapters
A BUPT team proposes that the phone OS ship one 9.2B multimodal model all apps call through small adapters, and matched app models on 85% of 50 datasets.
Qualcomm AI Hub opens 75 pre-optimised models and profiling on hosted Snapdragon phones
Qualcomm opened a library of more than 75 models tuned for Snapdragon, with compilation and profiling on real phones in its cloud and two 7B chat models listed.
Snapdragon 8 Gen 3 targets 10-billion-parameter models on device
Qualcomm says the new flagship runs generative models with up to 10 billion parameters on device and reaches up to 20 tokens per second for LLMs.
Qualcomm runs Stable Diffusion on an Android phone for the first time
Qualcomm AI Research generated 512x512 images in under 15 seconds on a Snapdragon 8 Gen 2 phone after quantising the model from FP32 to INT8.