hardware

arXiv:2605.00174v1 Announce Type: cross Abstract: Video and image streaming on edge devices requires low latency. To address this, Neural Networks (NNs) are widely used, and prior work mainly focuses

Mike Rogoway / Oregonian: Lattice Semiconductor agrees to acquire AMI for 1.65B in cash and stock; Georgia-based AMI provides firmware and infrastructure manageability for cloud and AI — Hillsboro-bas

Pieter Haeck / Politico: Legislators and experts criticize the EU's €20B sovereign compute data center plan, questioning whether there is demand and the plan's reliance on Nvidia GPUs — Critics argue

Llamacpp, when properly configured on Apple Silicon hardware, demonstrates robust performance and reliability for running language models. The tool can handle varied input requests effectively, making

arXiv:2605.00397v1 Announce Type: new Abstract: We present MiniVLA-Nav v1, a simulation dataset for Language-Conditioned Object Approach (LCOA) navigation: given a short natural-language instruction,

AI compute resources should not be treated as interchangeable commodities, as different hardware configurations, providers, and architectures significantly impact training costs, inference latency, an

NVIDIA cuOpt Agent Skills integrate LLM reasoning with GPU-accelerated solvers to enable AI agents to translate natural language supply chain problems into optimized mathematical models, with skills e

The case against OpenAI is getting markedly stronger now that Musk is off the stand. Why? Musk’s lawyer is interrogating OpenAI founder Greg Brockman, making clear that OpenAI sold its mission as a no

Abhishek Vishnoi / Bloomberg: Analysis: Asian suppliers account for ~90% of Nvidia's production costs, up from 65% in 2025, as latest wave of collaborations shifts from chips to physical AI — The list

This post draws a comparison between how parents measure their babies' development and relationship milestones, noting that both shift from month-based to year-based metrics around the 18-24 month mar

NVIDIA's Instant Splat is a breakthrough AI technique that synthesizes missing information from a few images to create immersive 3D models of virtual worlds. The method produces high-quality 3D models

This post humorously critiques conformity in San Francisco by observing that while men in the tech scene are often stereotyped as groupthink followers, women in SF have similarly adopted Tabis (Japane

The number of jobs in the future is endless because the problems to solve are endless. Jobs multiply as we get more complex. No AI or human can solve all problems and all the work to do in the Univers

torch-nvenc-compress is a Python library that leverages GPU NVENC (NVIDIA's hardware video encoding) to optimize PCIe bandwidth utilization by compressing data during transfer. The project implements

The post humorously references Apple's iMessage feature that displays group chats in green when they include non-iPhone users, joking that activating 'goblin mode' (a playful term for behaving mischie

Ollama's MLX engine runs on NVIDIA GPUs via CUDA v13 on Windows and Linux. Users have reported that Ollama crashes on RTX 3060 with cuda_v13 in versions 0.13.0 through 0.15.6, while deleting the cuda_

This article explores the origins and development of Intel's 8008 microprocessor, a pioneering chip that played a crucial role in the early microcomputer revolution of the 1970s. It likely examines th

The Information: Sources: Anthropic is in early talks to buy AI inference chips from UK-based Fractile when they become available in 2027 — As Anthropic's sales explode, straining the servers it uses,

This article examines how value in the AI industry is shifting away from traditional chip manufacturers toward model development labs and companies that build large language models. It likely analyzes

AI Value Capture - The Shift To Model Labs Vera Rubin VR NVL72: V for Value - Rubin delivers a step jump in performance per TCO. ROI accruing to users, Neoclouds, Hyperscalers, AI Labs, Memory Vendors

All the Doomers and hawks are lining up behind this distillation 'attack' farce because they want to see open source banned. It's really as simple as that. They want to take away your right to choose,

arXiv:2409.16808v1 Announce Type: cross Abstract: Modern applications, such as autonomous vehicles, require deploying deep learning algorithms on resource-constrained edge devices for real-time image

By popular request, YOLO-mode has landed on ml-intern https://smolagents-ml-intern.hf.space This enables the intern to execute long-running tasks like launching parallel ablations to determine the opt

arXiv:2604.27476v1 Announce Type: new Abstract: Vision-language models (VLMs) have demonstrated strong applicability in edge industrial applications, yet their deployment remains severely constrained

arXiv:2604.27085v1 Announce Type: cross Abstract: Fine-tuning Large Language Models (LLMs) on consumer-grade GPUs is highly cost-effective, yet constrained by limited GPU memory and slow PCIe intercon

First Silicon Valley captured the US Government, and now it is capturing “independent” media. 🟡 Semafor is launching a new initiative: Silicon Valley & The World, bringing together leaders building ar

arXiv:2604.28156v1 Announce Type: cross Abstract: We present FlexiTac, a low-cost, open-source, and scalable piezoresistive tactile sensing solution designed for robotic end-effectors. FlexiTac is a p

arXiv:2509.16248v3 Announce Type: replace-cross Abstract: This paper presents GRAPHMEND, a high-level compiler technique that eliminates FX graph breaks in PyTorch 2 programs. Although PyTorch 2 intro

Discover how Marketing Architects scaled real-time CTV advertising with Vultr, doubling throughput, reducing latency by 50%, and cutting cloud costs by up to 50% with high-performance Kubernetes and c

arXiv:2604.26963v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed as the execution core of autonomous agents rather than as standalone text generators. Agentic w

Gary Marcus critiques AI systems (particularly Nvidia's offerings) for producing lower-quality outputs that require significant correction and refinement despite increased computational investment. Th

The U.S. Defense Department today announced that it has inked artificial intelligence procurement contracts with seven tech firms. The group includes Amazon Web Service Inc., Google LLC, Microsoft Cor

The Pentagon has struck deals with OpenAI, Google, Microsoft, Amazon, Nvidia, Elon Musk's xAI, and the startup Reflection, allowing the agency to use their AI tools in classified settings, according t

arXiv:2604.26968v1 Announce Type: cross Abstract: Key-value (KV) cache memory management is the primary bottleneck limiting throughput and cost-efficiency in large-scale GPU inference serving. Current

Zijing Wu / Financial Times: Sources: Huawei expects AI chip revenue to hit ~12B in 2026, up 60% from 7.5B in 2025, as orders for its Ascend 950PR chip surge and Nvidia stalls in China — Chinese tech

Katrina Manson / Bloomberg: Sources: the US DOD strikes agreements with Nvidia, Microsoft, Reflection AI, and AWS to use their AI tools on classified military networks for “lawful” use — The Pentagon

arXiv:2604.28175v1 Announce Type: new Abstract: Machine learning (ML) inference serving systems host deep neural network (DNN) models and schedule incoming inference requests across deployed GPUs. How

arXiv:2604.27844v1 Announce Type: cross Abstract: Communication has emerged as a critical bottleneck in the distributed training of large language models (LLMs). While numerous approaches have been pr

10 years ago I took Justin's C++ 11 class at Google. He is a gifted teacher. Watch this talk where he explains the 500B AI build out from 1st principles. One gpu to world wide racks and why some of th

arXiv:2506.05878v2 Announce Type: replace Abstract: We present a feasibility-seeking approach to neural network training. This mathematical optimization framework is distinct from conventional gradien

arXiv:2601.11568v2 Announce Type: replace-cross Abstract: Training Large Language Models (LLMs) is highly memory-intensive due to optimizer state overhead. The FRUGAL framework mitigates this with gra

arXiv:2604.25326v2 Announce Type: replace-cross Abstract: Speculative decoding enhances the inference efficiency of large language models (LLMs) by generating drafts using a small draft language model

arXiv:2604.26103v1 Announce Type: cross Abstract: All current LLM serving systems place the GPU at the center, from production-level attention-FFN disaggregation to NVIDIA's Rubin GPU-LPU heterogeneou

The TileGym project developed an AI-driven skill-based workflow that encodes 17 critical translation rules, static validation scripts, and example kernels, enabling automated conversion of cuTile Pyth

NVIDIA DLSS 4.5 introduces Dynamic Multi Frame Generation and a second-generation transformer model, improving game image quality and frame rates while maintaining responsiveness. A new TensorRT for R

Vultr partnered with AMD to provide infrastructure and computing capabilities that support autonomous AI agents and agentic AI applications. The content likely discusses how Vultr's cloud platform, en