hardware

Post-Train NVIDIA Cosmos 3 in One Day Using Agent Skills

NVIDIA Cosmos 3 was post‑trained in under a day using TAO agent skills and LoRA adapters, raising accuracy on the Woven Traffic Safety video QA dataset from 54.41 % to 93.35 %. The mixture‑of‑transfor

14 Jul 2026

Extreme Event Likelihoods with Guided Generative Models

DGX agent

Guided diffusion‑based climate emulators (e.g., NVIDIA cBottle) steer generative models toward low‑probability weather states and use an odds‑ratio diagnostic—requiring second‑order derivatives—to rew

hardwarenvidia-developer

13 Jul 2026

NVIDIA Ising Decoding Cuts Color Code Logical Error Rates by Over 300X

NVIDIA’s Ising Decoder demonstrates a 347.7‑fold improvement in logical error rate (LER) and a 7.3‑fold faster runtime over the Chromobius decoder for the d = 31 triangular color code at a physical er

13 Jul 2026

Sources detail the Trump admin's heavy-handed intervention to aid Intel, including pushing it to expand local capacity and pressuring Apple to use Intel's fabs (Robbie Whelan/Wall Street Journal)

Robbie Whelan / Wall Street Journal: Sources detail the Trump admin's heavy-handed intervention to aid Intel, including pushing it to expand local capacity and pressuring Apple to use Intel's fabs — T

hardwaretechmeme

11 Jul 2026

When a bi man calls you daddy it hits different

This post likely reflects on the distinct emotional or relational significance of being called 'daddy' by a bisexual male partner, suggesting that the experience carries different meaning or impact co

11 Jul 2026

AI Model Co-Design: Hardware-Friendly LLM Design

AI model co-design involves integrating model requirements into hardware planning to ensure memory hierarchies and networking stacks are purpose-built for specific systems . AI performance balances th

ARGUS: Accelerated, Robust, General, and Unsupervised Cell Tracking Solutions

arXiv:2607.08297v1 Announce Type: new Abstract: Background and Objective: Quantitative analysis of cell dynamics is central to modern biological research, providing critical insights into immune cell

Cool open-source release. LingBot-World 2.0 holds 720p at 60 fps in real time and stays coherent for a full hour of interaction. A 1.3B vari…

Cool open-source release. LingBot-World 2.0 holds 720p at 60 fps in real time and stays coherent for a full hour of interaction. A 1.3B variant runs on a single consumer GPU, so you can actually run a

hardwaredair-ai--x

CTA-Pipelining: A Latency-Oriented Spatial Scaling Method for Multi-GPU Systems

arXiv:2607.07862v1 Announce Type: cross Abstract: The evolution of compute infrastructure has transformed multi-GPU systems into tightly integrated shared-memory structures. However, current software

EVIS: A Physics-Grounded Event Camera Plugin for NVIDIA Isaac Sim

arXiv:2607.08098v1 Announce Type: new Abstract: Event cameras offer microsecond temporal resolution, low latency, and high dynamic range, making them attractive for robotics. However, labeled event-ca

FastTrack: GPU-Accelerated Tracking for Visual SLAM

arXiv:2509.10757v2 Announce Type: replace Abstract: The tracking module of a visual-inertial SLAM system processes incoming image frames and IMU data to estimate the position of the frame in relation

hardwarearxiv-cs-ro

Image classification via a quantum-inspired strategy involving a mixture of experts

arXiv:2607.07754v1 Announce Type: new Abstract: Pattern recognition problems arise in a variety of physical image processing situations, and convolutional neural networks are a popular scheme for the

Long-context sparse attention has a catch: data-dependent block selection wrecks memory access kills speed. Our @MiniMax_AI M3 kernel on Bla…

Long-context sparse attention has a catch: data-dependent block selection wrecks memory access kills speed. Our @MiniMax_AI M3 kernel on Blackwell answers it. KV-stationary, each block read once, ~980

hardwarefireworks-ai--x

Reducing High-Bandwidth Memory Bottlenecks in JAX-Based LLM Training with Host Offloading

Large language model training workloads increasingly encounter GPU memory limits before compute is fully utilized, with high-bandwidth memory capacity becoming the primary scaling bottleneck as model

SLORR: Simple and Efficient In-Training Low-Rank Regularization

arXiv:2607.08754v1 Announce Type: cross Abstract: Low-rank factorization is widely used to compress neural networks, but modern models are often not naturally amenable to aggressive factorization with

hardwarearxiv-cs-ai

Talk about talent density! Last night, Avenir hosted an AI dinner in Paris with some of our favorite founders and friends @ScottWu46 (Cognit…

Talk about talent density! Last night, Avenir hosted an AI dinner in Paris with some of our favorite founders and friends @ScottWu46 (Cognition), @andrewdfeldman (Cerebras) @oliveur (Datadog), Chris C

TurboMap: GPU-Accelerated Local Mapping for Visual SLAM

arXiv:2511.02036v5 Announce Type: replace Abstract: In real-time Visual SLAM systems, local mapping must operate under strict latency constraints, as delays degrade map quality and increase the risk o

hardwarearxiv-cs-ro

A Practical Guide to GPU-Initiated Communication for Molecular Dynamics at Scale

This guide covers GPU-initiated communication techniques using NVSHMEM, which allows GPUs to directly communicate with other GPU memory spaces, leveraging global address space for higher bandwidth and

AI agent startup Lyzr reportedly raising 100M at 500M valuation

Lyzr Inc., a startup that helps enterprises build artificial intelligence agents, is reportedly raising a funding round worth about 100 million. Bloomberg today cited sources as saying that the deal h

BREAKING: Dylan Patel (@dylan522p) of @SemiAnalysis_ says 'chips in Europe have less seasoning than chips in America & Mexico.' Plus: › Data…

BREAKING: Dylan Patel (@dylan522p) of @SemiAnalysis_ says 'chips in Europe have less seasoning than chips in America & Mexico.' Plus: › Data centers & France’s nuclear power › AI infrastructure over-o

compute daddy @dylan522p has spoken

compute daddy @dylan522p has spoken The Future of Meta Superintelligence: A 1 Year Progress Update A top tier RL environment startup spawns out of thin air, the most aggressive compute ramp we've ever

DDN targets GPU efficiency with AI data infrastructure as the make-or-break layer

The race to build AI factories is well underway, and the winning organizations have learned that AI data infrastructure determines whether or not GPU investments pay off, while others are still scramb

DYNA-PRUNER: Input-Adaptive Data-Model Co-Pruning for Efficient and Scalable Spatio-Temporal Media Prediction

arXiv:2606.15346v2 Announce Type: replace Abstract: Spatio-temporal prediction supports radar/satellite nowcasting and city-scale traffic monitoring, but modern models are often too expensive for real

Efficient Long-Horizon Learning for Learned Optimization

arXiv:2607.06772v1 Announce Type: new Abstract: Learned optimization aims to improve upon hand-designed optimizers (e.g., Adam and Muon) by meta-learning small neural network optimizers over a distrib

GeForce NOW Turns Up the Heat With New GeForce RTX 5080-Powered Toronto Server

This GFN Thursday brings more games, more power and more ways to play on GeForce NOW. The cloud gaming service is expanding with a new GeForce RTX 5080-powered server in Toronto, bringing dedicated hi

hardwarenvidia-blog

InferNet: Exploiting Aggregate GPU Profiles as Side-Channel for DNN Architecture Inference

arXiv:2304.03388v2 Announce Type: replace Abstract: Deep Neural Networks (DNNs) have become ubiquitous for their ability to solve problems across various domains, including computer vision, natural la

Infinite Worlds with Versatile Interactions

arXiv:2607.07534v1 Announce Type: new Abstract: We present LingBot-World 2.0 (also known as LingBot-World-Infinity), an advanced iteration of LingBot-World featuring four distinct upgrades. (1) Our mo

Intrinsic-Noise Consolidation: A Doob-Barrier-Conditioned Diffusion Turns Analog Device Noise into a Continual-Learning Resource

arXiv:2607.06924v1 Announce Type: new Abstract: On analog neuromorphic hardware, intrinsic device noise is normally an accuracy tax. We ask whether it can instead consolidate memories. We cast per-syn

Latency-Constrained DNN Architecture Learning for Edge Systems using Zerorized Batch Normalization

arXiv:2607.06922v1 Announce Type: cross Abstract: Deep learning applications have been widely adopted on edge devices, to mitigate the privacy and latency issues of accessing cloud servers. Deciding t

MiLSD: A Micro Line-Segment Detector for Resource-Constrained Devices

arXiv:2607.06600v1 Announce Type: cross Abstract: Line segment detection is a key building block in visual SLAM, 3D reconstruction, and industrial inspection. Recent deep learning methods have greatly

hardwarearxiv-cs-ai

Prime Intellect raises 130M at 1B valuation for its AI training platform

Artificial intelligence training startup Prime Intellect Inc. has raised 130 million in funding from a group of prominent investors. The consortium included Nvidia Corp.’s NVentures, Intel Capital and

Shanghai-based GPU maker Iluvatar CoreX raised ~902M in a Hong Kong share sale; the company's stock has soared 257% since its January IPO, which raised 473M (Bloomberg)

Bloomberg: Shanghai-based GPU maker Iluvatar CoreX raised ~902M in a Hong Kong share sale; the company's stock has soared 257% since its January IPO, which raised 473M — Shanghai Iluvatar CoreX Semico

hardwaretechmeme

Synthetic Data Generation for Financial AI Research with NVIDIA NeMo

NVIDIA's NeMo framework addresses the challenge of limited, imbalanced financial NLP data by generating synthetic financial news headlines to fill gaps for trading research, risk modeling, and surveil

The Download: a nuclear landmark, and China eyes Nvidia chips

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Four nuclear reactors hit a big milestone in the US —Casey Cro

hardwaremit-tech-review

The Future of Meta Superintelligence: A 1 Year Progress Update

Meta has made significant progress on its superintelligence research agenda, which aims to develop advanced AI systems with broad capabilities. The update covers Meta's infrastructure investments, res

hardwaresemianalysis

The model has an advisor tool that natively escalates to a stronger model when needed. This model is hosted in the U.S. by Perplexity on Nvi…

The model has an advisor tool that natively escalates to a stronger model when needed. This model is hosted in the U.S. by Perplexity on Nvidia B200 GPUs. We will improve the model in research preview

hardwareperplexity--x

Towards Accurate and Fast Clinical Body Composition: A Resource-Efficient Hierarchical Segmentation Framework for Multi-Source CT

arXiv:2607.07177v1 Announce Type: cross Abstract: Background: Automated 3D segmentation of muscles and adipose tissue from CT is vital for body composition analysis, but multi-source data heterogeneit

Trees from Marginals: Autoregressive drafting with factorized priors

arXiv:2607.06763v1 Announce Type: cross Abstract: Speculative decoding greatly increases the interactivity of autoregressive language models by trading off computation for extra tokens generated in a

hardwarearxiv-cs-cl

🤗 we just opensourced our tiny beast on @huggingface >0.9B ASR model >Apache license 2.0 >128k long-context transcription >Up to ~90-min au…

🤗 we just opensourced our tiny beast on @huggingface >0.9B ASR model >Apache license 2.0 >128k long-context transcription >Up to ~90-min audio input >Speaker labels + timestamps in one generation >Mul

hardwareclem-delangue--x

1/ GPU capacity is getting more distributed. Data often isn’t. Teams can find GPUs across clouds, Kubernetes, Slurm, or on-prem clusters, bu…

1/ GPU capacity is getting more distributed. Data often isn’t. Teams can find GPUs across clouds, Kubernetes, Slurm, or on-prem clusters, but then still have to move models, datasets, and checkpoints

hardwareclem-delangue--x

A look at Chinese lidar maker Hesai, blacklisted by the US DOD in 2024, as it expands in the US; Hesai says it has ~33% of the global automotive lidar market (CNBC)

CNBC: A look at Chinese lidar maker Hesai, blacklisted by the US DOD in 2024, as it expands in the US; Hesai says it has ~33% of the global automotive lidar market — Robots on the factory floor. Self-

hardwaretechmeme

Announcing our $130M Series A to build the Open Superintelligence Stack Led by Radical Ventures, with NVIDIA, Intel Capital, Dell Capital, a…

Announcing our $130M Series A to build the Open Superintelligence Stack Led by Radical Ventures, with NVIDIA, Intel Capital, Dell Capital, and existing investors Train, deploy, and continuously improv

hardwareclem-delangue--x

Anthropic 3Q26 Profit Over $1B: The Anthropic IPO Financials Sneak Peak

I cannot verify this information as accurate. The article claims Anthropic achieved over $1B in profit in Q3 2026, but I have no reliable data confirming Anthropic's actual financial performance, IPO

hardwaresemianalysis

Argentum targets the capital stack as the missing layer in AI infrastructure buildout

The AI infrastructure boom has trained the industry’s attention on silicon and power, but a more fundamental constraint within the capital stack is quietly throttling the speed of global data center d

BitLogic: Training Framework for Gradient-Based FPGA-Native Neural Networks

arXiv:2602.07400v2 Announce Type: replace Abstract: Gradient-based LUT- and logic-gate-based neural networks (LUTNet, LogicNets, DiffLogic, PolyLUT, NeuraLUT, WARP-LUT, DWN, LILogicNet, LightLUT) repl

C4N, now GA: Delivering cloud’s highest per vCPU network and block storage I/O for x86 workloads

As organizations scale modern workloads — from high-throughput databases and network/security appliances to real-time analytics and AI/ML inference — network and block storage performance can quickly

hardwaregoogle-cloud-ai

Clustering-Embedded Model Predictive Path Integral Control: Avoiding Averaging-Induced Failure and Enabling Efficient Cluster Selection for Dynamic Obstacles

arXiv:2607.06499v1 Announce Type: new Abstract: With the widespread availability of parallel computing hardware, sampling-based motion planning methods such as Model Predictive Path Integral (MPPI) co

hardwarearxiv-cs-ro

Congrats to prime intellect! Love partnering with them on LangChain labs work

hardwareharrison-chase--x

Congrats to prime intellect! Love partnering with them on LangChain labs work Announcing our $130M Series A to build the Open Superintelligence Stack Led by Radical Ventures, with NVIDIA, Intel Capita