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LLM Inference at the Edge: Mobile, NPU, and GPU Performance Efficiency Trade-offs Under Sustained Load

arXiv:2603.23640v2 Announce Type: replace Abstract: Deploying large language models on-device for always-on personal agents demands sustained inference from hardware tightly constrained in power, thermal envelope, and memory. We benchmark Qwen 2.5 1.5B (4-bit quantised) across four platforms: a Raspberry Pi 5 with Hailo-10H NPU, a Samsung Galaxy S24 Ultra, an iPhone 16 Pro, and a laptop NVIDIA RTX 4050 GPU. Using a fixed 258-token prompt over 20 warm-condition iterations per device, we...

arXiv CS 1d ago

Simple Token-Efficient Vision-Language Model for Case-level Pathology Synoptic Report Generation

Announce Type: new Abstract: Generating clinically useful pathology reports for pathology cases from whole-slide images (WSIs) is challenging due to gigapixel resolution, long visual-token sequences, and the complexity of case-level reasoning, where a single case may contain multiple WSIs with heterogeneous tissues and ambiguous findings. We present a simple token-efficient vision--language model for case-level synoptic report generation that remains practical under constrained GPU memory....

arXiv CS 9d ago

Nvidia's entrance into the PC market gives investors another reason to own the stock

Nvidia has added another leg to its investment case, planted far away from the data center. It's on your desk at the office and at home. At the influential Computex conference in Taiwan, CEO Jensen Huang focused the first half of his keynote address on the data center and the wonders of Nvidia's Vera computing platform for agentic AI workloads.

CNBC 9d ago

PlayStation Architecture

Supporting imagery A quick introduction Sony knew that 3D hardware could get very messy to develop for. Thus, their debuting console will keep its design simple and practical… Although this may come at a cost!

Hacker News 7d ago

Marvell enters the AI network fray with 102.4 Tbps switch silicon

Marvell enjoyed a fillip from Nvidia chief Jensen Huang at Computex, who praised the firm as it unveiled the latest 102.4 Tbps switch silicon it has purpose-built for AI infrastructure. The fabless semiconductor biz announced upcoming availability of its Teralynx T100 chip to coincide with the Taiwanese trade show, claiming that it needs 25 percent lower power than competitive solutions with lower latency for AI training and inference workloads. But the firm is late to this party, as other...

The Register 8d ago

Surface Laptop Ultra: Made for World Makers

Introducing Surface Laptop Ultra: Made for world makers The world is full of makers. Only a few make the world. Surface Laptop Ultra is for them.

Hacker News 9d ago

Human-Like Neural Nets by Catapulting

Human-like Neural Nets by Catapulting Speculative proposal to create artificial neural nets with human-like performance by high-learning-rate/regularization training of overparameterized NNs to trigger catapulting/grokking. Over-parameterization as a route to true generalization would resolve many outstanding mysteries of artificial versus natural intelligence. There are many mysteries about deep learning and human intelligence, but we could describe the biggest anomaly this way: why are...

Hacker News 3d ago

DiffusionGemma: 4x Faster Text Generation

DiffusionGemma: 4x faster text generation Today, we’re introducing DiffusionGemma, an experimental open model that explores text diffusion, an exceptionally fast approach to text generation. Released under an Apache 2.0 license, this 26B Mixture of Experts (MoE) model moves beyond the sequential token-by-token processing of typical autoregressive Large Language Models (LLMs). Instead, it generates entire blocks of text simultaneously, delivering up to 4x faster text generation on GPUs.

Hacker News 3h ago

MiMo-v2.5-Pro-UltraSpeed: 1T model with 1000 tokens per second

From the first roaring racer of the combustion age to the sonic boom that shattered the sound barrier, humanity's hunger for speed is written into our very DNA. The speed of AI reasoning is no different — it defines the boundaries of intelligence itself. When a model is fast enough, it ceases to be a tool you wait on and becomes an extension of your own thinking: responding in real time, iterating in an instant, collaborating without friction.

Hacker News 2d ago

Our systems editor flew all the way to Taiwan and still couldn't get away from AI

KETTLE El Reg's systems editor Tobias Mann has been in Taipei for the past week getting the skinny on the hottest new chips, and what he's heard has been less about actual hardware announcements and more about how chipmakers are rushing to meet the demands of AI, other customers be damned. Tobias joins host Brandon Vigliarolo to discuss what he noticed at Computex 2026, how AI has taken over yet another industry event, and whether the world is going to have to adjust to new, more expensive...

The Register 2d ago