Search: “hardware”

DreamStereo: Towards Real-Time Stereo Inpainting for HD Videos

arXiv:2604.12270v1 Announce Type: new Abstract: Stereo video inpainting, which aims to fill the occluded regions of warped videos with visually coherent content while maintaining temporal consistency,

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finally: @simonlast + @sarahmsachs on Latent Space! Notion has rebuilt Notion AI 5 times. This is the first time Simon has told the entire s…

DGX agent

finally: @simonlast + @sarahmsachs on Latent Space! Notion has rebuilt Notion AI 5 times. This is the first time Simon has told the entire story. I've been trying to do this interview for ~3 years. We

hardwareswyx--x

15 Apr 2026

Fine-Tuning LLMs for Report Summarization: Analysis on Supervised and Unsupervised Data

arXiv:2503.10676v2 Announce Type: replace-cross Abstract: We study the efficacy of fine-tuning Large Language Models (LLMs) for the specific task of report (government archives, news, intelligence rep

Get Organized with Cloud Server Tagging

Introducing instance tagging for better organization and easier server management on Vultr. Try tagging now and stay tuned for upcoming features like scheduled backups! Share your feedback on Twitter

GPU stays sometimes at 100% usage even when done replying. Is it normal?

This r/ollama post addresses a commonly reported behavior where Ollama's GPU usage remains at or near 100% even after a model has finished generating a response. Certain models appear to 'hang' after

hardwarer-ollama

I chatted with @ysmulki about MatX, chip design and where silicon designed for LLMs is headed (8:17) Tightly coupling SRAM and HBM on one ch…

I chatted with @ysmulki about MatX, chip design and where silicon designed for LLMs is headed (8:17) Tightly coupling SRAM and HBM on one chip (14:03) More MoE FLOPS, smaller KV cache load (16:08) Num

hardwareswyx--x

Important Update

Vultr informs customers about a security incident involving unauthorized access to a third-party vendor's marketing data affecting limited customer information. No Vultr systems, customer subscription

ISSCC 2026: NVIDIA & Broadcom CPO, HBM4 & LPDDR6, TSMC Active LSI, Logic-Based SRAM, UCIe-S and More

ISSCC 2026 previews cutting-edge semiconductor research and industry presentations covering co-packaged optics (CPO) developments from NVIDIA and Broadcom, next-generation memory standards including H

hardwaresemianalysis

@lmsysorg @sgl_project @vllm_project @CoreWeave @nebiusai @nscale @togethercompute @Togethercompute enables AI labs and enterprises to run f…

@lmsysorg @sgl_project @vllm_project @CoreWeave @nebiusai @nscale @togethercompute @Togethercompute enables AI labs and enterprises to run frontier models and agents on the NVIDIA Blackwell platform—g

hardwaretogether-ai--x

New Adobe Premiere Color Grading Mode Accelerated on NVIDIA GPUs

The NAB Show 2026 trade show, running April 18-22 in Las Vegas, is set to showcase a wave of new features and optimizations for top video editing applications. Bringing together over 60,000 content pr

hardwarenvidia-blog

Local Ai

Ollama broken on Apple M5 + macOS 26 — Metal shader crash on every model (500 error)

Ollama consistently fails to run any model on Apple M5 hardware running macOS 26, with the Metal backend failing to initialize and the runner process terminating with a 500 Internal Server Error. The

local-air-ollama

PipeLive: Efficient Live In-place Pipeline Parallelism Reconfiguration for Dynamic LLM Serving

arXiv:2604.12171v1 Announce Type: cross Abstract: Pipeline parallelism (PP) is widely used to partition layers of large language models (LLMs) across GPUs, enabling scalable inference for large models

Q&A with Jensen Huang on Nvidia's supply chain moat, competition from ASICs like Google's TPU, investing in AI labs and neoclouds, selling to China, and more (Dwarkesh Patel/Dwarkesh Podcast)

Dwarkesh Patel / Dwarkesh Podcast: Q&A with Jensen Huang on Nvidia's supply chain moat, competition from ASICs like Google's TPU, investing in AI labs and neoclouds, selling to China, and more — “If o

hardwaretechmeme

Scalable Trajectory Generation for Whole-Body Mobile Manipulation

arXiv:2604.12565v1 Announce Type: cross Abstract: Robots deployed in unstructured environments must coordinate whole-body motion -- simultaneously moving a mobile base and arm -- to interact with the

Security Researchers - Get Rewarded for Bug Reports!

Discover how Vultr values and rewards the ethical disclosure of security vulnerabilities with its new bug bounty program. Report issues, get compensated, and help improve Vultr's web ecosystem through

Set up your domains with Vultr DNS!

Discover Vultr DNS, a free, geographically distributed anycast DNS service that improves browsing speed and reliability by connecting visitors to the closest DNS cluster. Start configuring your domain

Simplify Global Traffic Management with Vultr Global Load Balancers

Vultr Global Load Balancers is a managed service that distributes incoming traffic across multiple regions and backend servers worldwide, helping businesses improve application availability, reduce la

Social media intern made me a terminally online LEGO 😭

Dylan Patel, a semiconductor and AI industry analyst known for his work at SemiAnalysis, shared a post on X (formerly Twitter) humorously reacting to a LEGO-style avatar or depiction of himself create

hardwaredylan-patel--x

Vultr Easily Meets EU Digital Readiness Operations Act (DORA) Requirements in Independent Assessment

Vultr, a cloud infrastructure provider, has successfully met the requirements of the EU's Digital Operational Resilience Act (DORA) according to an independent assessment, demonstrating its compliance

Vultr Managed Kafka® Connect Enhancements: Faster and Simpler Data Streaming

Enhance real-time data streaming with Vultr Managed Apache Kafka®. With expanded Kafka Connect support, data sources and destinations can be quickly integrated with just a few clicks. Get started toda

Model Releases

A Compact and Efficient 1.251 Million Parameter Machine Learning CNN Model PD36-C for Plant Disease Detection: A Case Study

model-releasesarxiv-cs-ai

arXiv:2604.11332v1 Announce Type: cross Abstract: Deep learning has markedly advanced image based plant disease diagnosis as improved hardware and dataset quality have enabled increasingly accurate ne

AIRA_2: Overcoming Bottlenecks in AI Research Agents

arXiv:2603.26499v2 Announce Type: replace Abstract: Existing research has identified three structural performance bottlenecks in AI research agents: (1) synchronous single-GPU execution constrains sam

Building Custom Atomistic Simulation Workflows for Chemistry and Materials Science with NVIDIA ALCHEMI Toolkit

NVIDIA's ALCHEMI Toolkit is a PyTorch-native framework that lets researchers build custom GPU-accelerated atomistic simulation workflows for chemistry and materials science applications. The initial r

hardwarenvidia-developer

Can LLMs Reason About Attention? Towards Zero-Shot Analysis of Multimodal Classroom Behavior

arXiv:2604.03401v2 Announce Type: replace-cross Abstract: Understanding student engagement usually requires time-consuming manual observation or invasive recording that raises privacy concerns. We pre

CASK: Core-Aware Selective KV Compression for Reasoning Traces

arXiv:2604.10900v1 Announce Type: new Abstract: In large language models performing long-form reasoning, the KV cache grows rapidly with decode length, creating bottlenecks in memory and inference sta

CodeQuant: Unified Clustering and Quantization for Enhanced Outlier Smoothing in Low-Precision Mixture-of-Experts

arXiv:2604.10496v1 Announce Type: new Abstract: Outliers have emerged as a fundamental bottleneck in preserving accuracy for low-precision large models, particularly within Mixture-of-Experts (MoE) ar

Credo to acquire Israeli silicon photonics startup DustPhotonics for up to $1.3 billion

Fabless chip design company Credo Technology Group Holding Ltd. today announced that it has reached a deal to acquire Israeli silicon photonics startup DustPhotonics Ltd. for up to 1.3 billion in cash

hardwaresiliconangle

Deep Optimizer States: Towards Scalable Training of Transformer Models Using Interleaved Offloading

arXiv:2410.21316v2 Announce Type: replace-cross Abstract: Transformers and large language models~(LLMs) have seen rapid adoption in all domains. Their sizes have exploded to hundreds of billions of pa

From operational to analytical: The unified Spanner Graph and BigQuery Graph solution

Understanding the relationships within your data is crucial for uncovering hidden insights and building intelligent applications. However, managing operational (OLTP) and analytical (OLAP) graph workl

hardwaregoogle-cloud-ai

Generative Design for Direct-to-Chip Liquid Cooling for Data Centers

arXiv:2604.10941v1 Announce Type: cross Abstract: Rapid growth in artificial intelligence (AI) workloads is driving up data center power densities, increasing the need for advanced thermal management.

GPU-Accelerated Continuous-Time Successive Convexification for Contact-Implicit Legged Locomotion

arXiv:2604.09993v1 Announce Type: new Abstract: Contact-implicit trajectory optimization (CITO) enables the automatic discovery of contact sequences, but most methods rely on fine time discretization

hardwarearxiv-cs-ro

IA local con NVIDIA RTX PRO™ 4000 Blackwell 16GB GDDR7

This Reddit post from the r/ollama community discusses running local AI/LLM workloads using the NVIDIA RTX PRO 4000 Blackwell GPU via Ollama, a framework for running large language models locally. The

hardwarer-ollama

Introducing Kernels on the Hugging Face Hub ✨ What if shipping a GPU kernel was as easy as pushing a model? - Pre-compiled for your exact GP…

Introducing Kernels on the Hugging Face Hub ✨ What if shipping a GPU kernel was as easy as pushing a model? - Pre-compiled for your exact GPU, PyTorch & OS - Multiple kernel versions coexist in one pr

hardwareclem-delangue--x

NVIDIA NVbandwidth: Your Essential Tool for Measuring GPU Interconnect and Memory Performance

NVIDIA NVbandwidth is a performance analysis tool designed to measure memory bandwidth and latency between various components in GPU-equipped systems, providing detailed measurements of data transfer

hardwarenvidia-developer

Nvidia unveils Ising AI models for quantum error correction and calibration

Technology and computing giant Nvidia Corp. today announced the release of Ising, the world’s first open artificial intelligence model family aimed at quantum computing calibration and error correctio

hardwaresiliconangle

PA-SFM: Tracker-free differentiable acoustic radiation for freehand 3D photoacoustic imaging

arXiv:2604.09643v1 Announce Type: new Abstract: Three-dimensional (3D) handheld photoacoustic tomography typically relies on bulky and expensive external positioning sensors to correct motion artifact

Parisians: we're running an open source AI art hackathon with LTX + NVIDIA this Saturday

hardwarer-stablediffusion

A Reddit post on r/StableDiffusion announces an in-person open source AI art hackathon held in Paris, co-organized with LTX (Lightricks' open source AI video model) and NVIDIA. The event likely invite

Read the full research post with NVIDIA: http://cursor.com/blog/multi-agent-kernels

Cursor has published a research post in collaboration with NVIDIA exploring multi-agent kernel systems, likely detailing how multiple AI agents can work together to handle complex coding or computatio

hardwarecursor--x

Real-Time Voicemail Detection in Telephony Audio Using Temporal Speech Activity Features

arXiv:2604.09675v1 Announce Type: cross Abstract: Outbound AI calling systems must distinguish voicemail greetings from live human answers in real time to avoid wasted agent interactions and dropped c

Relational Probing: LM-to-Graph Adaptation for Financial Prediction

arXiv:2604.10212v1 Announce Type: new Abstract: Language models can be used to identify relationships between financial entities in text. However, while structured output mechanisms exist, prompting-b

hardwarearxiv-cs-cl

StreamServe: Adaptive Speculative Flows for Low-Latency Disaggregated LLM Serving

arXiv:2604.09562v1 Announce Type: cross Abstract: Efficient LLM serving must balance throughput and latency across diverse, bursty workloads. We introduce StreamServe, a disaggregated prefill decode s

Sustainable Transformer Neural Network Acceleration with Stochastic Photonic Computing

arXiv:2604.09759v1 Announce Type: cross Abstract: Transformers achieve state-of-the-art performance in natural language processing, vision, and scientific computing, but demand high computation and me

The Transformation Edge: Why the modern CFO is becoming the enterprise’s AI co-architect

There are moments in tech when the stack shifts. And then there are moments when everything shifts. This is the latter. After three decades in Silicon Valley — and now building a bridge between Palo A

hardwaresiliconangle

Tree Training: Accelerating Agentic LLMs Training via Shared Prefix Reuse

arXiv:2511.00413v4 Announce Type: replace Abstract: Agentic large language model (LLM) training often involves multi-turn interaction trajectories that branch into multiple execution paths due to conc

VTC: DNN Compilation with Virtual Tensors for Data Movement Elimination

arXiv:2604.09558v1 Announce Type: cross Abstract: With the widening gap between compute and memory operation latencies, data movement optimizations have become increasingly important for DNN compilati

We've been developing a multi-agent system that builds and maintains complex software autonomously. Recently, we partnered with NVIDIA to ap…

We've been developing a multi-agent system that builds and maintains complex software autonomously. Recently, we partnered with NVIDIA to apply it to optimizing CUDA kernels. In 3 weeks, it delivered

hardwarecursor--x

CSAttention: Centroid-Scoring Attention for Accelerating LLM Inference

arXiv:2604.08584v1 Announce Type: cross Abstract: Long-context LLMs increasingly rely on extended, reusable prefill prompts for agents and domain Q&A, pushing attention and KV-cache to become the domi

13 Apr 2026

Fast Model-guided Instance-wise Adaptation Framework for Real-world Pansharpening with Fidelity Constraints

arXiv:2604.08903v1 Announce Type: new Abstract: Pansharpening aims to generate high-resolution multispectral (HRMS) images by fusing low-resolution multispectral (LRMS) and high-resolution panchromati