Knowledge catalogue
arXiv:2605.31500v1 Announce Type: cross Abstract: Graph Neural Networks (GNNs) are bottlenecked by sparse, irregular memory access. Popular frameworks such as DGL and PyTorch Geometric support general
arXiv:2602.07721v3 Announce Type: replace-cross Abstract: KV-cache retrieval is essential for long-context LLM inference, yet existing methods struggle with distribution drift and high latency at scal
arXiv:2605.31463v1 Announce Type: cross Abstract: Mixture-of-Experts (MoE) has become the dominant architecture for frontier language models. To meet this demand, production frameworks have built opti
arXiv:2605.30728v1 Announce Type: new Abstract: Machine learning (ML) training and inference often process data sets far exceeding GPU memory capacity, forcing them to rely on PCIe for on-demand tenso
arXiv:2605.30409v1 Announce Type: cross Abstract: Real-time streaming video-to-video editing (V2V) is critical for interactive applications such as live broadcasting and gaming, yet it remains a formi
arXiv:2605.30716v1 Announce Type: cross Abstract: Generating clinically useful pathology reports for pathology cases from whole-slide images (WSIs) is challenging due to gigapixel resolution, long vis
arXiv:2605.30541v1 Announce Type: new Abstract: Full waveform inversion (FWI) is the gold standard for subsurface imaging, with applications from carbon sequestration to energy and mineral exploration
Taiwan is home to more than 500 NVIDIA ecosystem partners. More than 1 million NVIDIA MGX rack components for NVIDIA Vera Rubin infrastructure come together in Taiwan, from across 25 factory sites. As
the decade of agents! @theemozilla We have been working closely with @nvidia to ensure Hermes Agent works smoothly on their new @NVIDIARTXSpark superchip and integrates with the new OpenShell runtime,
Nvidia's announcement that it's getting into the consumer laptop chip space with RTX Spark is huge. Apple has proved for years that Arm-based chips can perform incredibly well while also delivering gr
This pod was an incredible gift to the community: not only our first pod about @xAI, but Ethan really indulged on all our questions on how to train a SOTA Videogen world model, including specific area
Today we’re announcing London as Runway’s European HQ, and doubling down on our investment in the UK AI ecosystem. In under two years, our London team has become central to our research, including fou
When we design large GPU clusters, the network is no longer a background system. It's part of the compute envelope. At the 800G and NVIDIA GB300 NVL72 scale, the back-end fabric accounts for 86% of ne
We have been working closely with @nvidia to ensure Hermes Agent works smoothly on their new @NVIDIARTXSpark superchip and integrates with the new OpenShell runtime, which connects Hermes to @Microsof
We have worked with @nvidia to integrate their official Agent Skills catalog into the Hermes Skills Hub. These skills teach your agent how to use CUDA-X libraries, Omniverse and Physical AI workflows,
We 💚 open source So much great work lately from Nvidia, the 'King of American Open-source AI'! - Crossed 1,000 total public repositories on @huggingface (820 models, 249 datasets & 57 spaces) & almost
NVIDIA Cosmos 3 is an open-source omni-model designed for physical AI reasoning and action tasks, representing an advancement in multimodal AI systems. The model integrates multiple modalities to enab
Microsoft and NVIDIA are partnering to develop laptop chips based on Grace and Blackwell architectures to compete with Apple Silicon's six-year market dominance. This collaboration aims to challenge A
This post from Dylan Patel discusses how PC graphics capabilities were limited before Jensen (likely referring to Jensen Huang of NVIDIA) introduced revolutionary GPU technology, and suggests that the
New York Times: Wirescreen analysis of 3,800 Chinese military procurement records finds 500+ instances since 2019 where the PLA sought Nvidia chips, including the A100 and A800 — An analysis of six ye
Reuters: A look at AMD CEO Lisa Su's and Nvidia CEO Jensen Huang's contrasting China playbooks, with Su keeping a lower profile; China accounts for ~20% of AMD's revenue — When AMD CEO Lisa Su arrived
is the word for this “rug pull”? 🚨 SPACEX MAY BE THE BIGGEST INSIDER CASHOUT IN MARKET HISTORY. SpaceX is expected to IPO at a valuation of up to $2 TRILLION. That would instantly make it larger than
Ina Fried / Axios: Sources: Microsoft and Nvidia will unveil the first Windows PCs powered by Nvidia SoCs, including devices from Surface and Dell, at Computex and Build 2026 — The company best known
卧槽！你随便扔一首 YouTube 歌，它就能直接拆成 6 条独立音轨——人声、鼓、贝斯、吉他、钢琴、其他……全给你扒出来！ 这工具叫 StemDeck，GitHub 开源项目，本地跑全程不上传、不注册、不花钱！它基于 Demucs 模型，拆完后给你一个接近 DAW 的界面： 静音、独奏、拉推子、缩波形、设循环、单轨下载、混音导出……想怎么玩就怎么玩。硬核亮点： 本地全速运行：自动识别 GPU，A
Wall Street Journal: A profile of OpenAI President Greg Brockman, who is overseeing product in his new role and has become an important ambassador for AI to the Trump administration — After years in t
Sean McLain / Wall Street Journal: As robotaxi companies attempt to scale in the US, they face increasing scrutiny and mounting criticism from drivers, law enforcement, and local governments — As auto
We took the Hot Wings Challenge to NVIDIA GTC 🌶️ @realDanFu (VP of Kernels) and @sarung (VP of Customer Success) answered some questions around AI, one spicy wing at a time. Some people sweat. Some pe
This post likely discusses how approaching a situation with fear or negative expectations can create a self-fulfilling prophecy, resulting in aversion or disgust toward that outcome. Dylan Patel appea
Why AI's increasing output is going to be one of the hardest economic measurement problems in history. AI 'Dark Output' could end up being the majority of economic activity, but a challenge to measure
AI Dark Output: The Visible Cost of Invisible Output Why AI's increasing output is going to be one of the hardest economic measurement problems in history. AI 'Dark Output' could end up being the majo
arXiv:2508.03221v5 Announce Type: replace-cross Abstract: Despite the remarkable progress of diffusion models in image generation, recent studies reveal their vulnerability to backdoor attacks via cov
arXiv:2605.29727v1 Announce Type: new Abstract: Block-diffusion drafters have recently emerged as a powerful alternative for speculative decoding by predicting multiple future-token distributions in a
arXiv:2605.29155v1 Announce Type: cross Abstract: In the literature, actor-critic model predictive control (AC-MPC) integrates MPC with reinforcement learning to enable high-performance control of com
This post demonstrates a comprehensive observability solution using Amazon Managed Grafana dashboards that provides a holistic view of both quality and quantity for LLMs served on Amazon SageMaker AI
arXiv:2605.29428v1 Announce Type: cross Abstract: We present DEtection in phase-folded Light curves with cOntrastive Scoring (DELOS), a contrastive-learning-based framework designed to search for shal
arXiv:2602.06036v2 Announce Type: replace Abstract: Autoregressive large language models (LLMs) deliver strong performance but require inherently sequential decoding, leading to high inference latency
arXiv:2605.30010v1 Announce Type: new Abstract: Video large language models (Video-LLMs) have demonstrated strong capabilities in video understanding tasks. However, their practical deployment is stil
Elon Musk: “I don't think most people understand just how quickly machine intelligence is advancing. It's much faster than almost anyone realizes, even within Silicon Valley and certainly outside Sili
arXiv:2605.29505v1 Announce Type: new Abstract: Online 3D scene perception in real time is essential for robotics, AR/VR, and autonomous systems, particularly in edge computing scenarios where computa
Hot take on what comes next, after the sudden decline of tokenmaxxing: - OpenAI will struggle - with the decline of tokenmaxxing Anthropic will struggle (aside from this quarter) to make a profit - Go
Together AI developed an optimized speech-to-text system focused on achieving the fastest processing speeds through technical innovations in their inference stack and model optimization. The approach
i warned these guys of exactly this problem - no moat because everyone is training on same data - two years ago. and warned them that AI would become a commodity. now they think they have made some bi
Jensen Huang, NVIDIA's CEO, compared Fireworks to 'the TSMC of AI factories' during a conversation at GTC 2026, highlighting Fireworks' role as a foundational infrastructure provider in the AI industr
Step 3.7 Flash is a 198B-parameter Mixture-of-Experts vision-language model designed for enterprise-scale production workloads, featuring native image and video input, a 256k context window, and confi
arXiv:2511.04758v2 Announce Type: replace-cross Abstract: Bimanual and humanoid robots are appealing because of their human-like ability to leverage multiple arms to efficiently complete tasks. Howeve
The Information: Sources: ByteDance has partnered with chipmaker InnoStar to develop an AI inference chip modeled after Groq's LPUs, which are built to run AI models at low cost — TikTok owner ByteDan
stop asking for rationality @jeffreyleefunk! it won’t happen here! (actually, it will … eventually ...) @GaryMarcus As companies reduce AI use in effort to achieve productivity improvements in most co
This week, I got our GitHub Actions to use @HuggingFace Jobs instead of the default GitHub CI runners, making workflows run on much more reliable CPUs or even on serverless GPU (that cost less than a
Together AI serves the two fastest STT models measured by @ArtificialAnlys NVIDIA Parakeet-TDT 0.6B v3 can transcribe 20 hours of speech in under 10 seconds. This deep dive shows the systems work behi
arXiv:2605.30351v1 Announce Type: cross Abstract: Long-rollout causal video diffusion has converged on a fixed-size sliding-window KV cache, with recent progress innovating within this layout by chang
This Reddit discussion in the StableDiffusion community addresses recommendations for affordable, used or refurbished laptops equipped with GPUs suitable for running open-source image generation model
PCMag: What to expect at Computex 2026: AI chips, budget PCs competing with the MacBook Neo, Nvidia entering laptop SoC market with the rumored N1X chip, and more — The theme for Computex 2026, accord
arXiv:2605.27441v1 Announce Type: cross Abstract: Query understanding in large-scale industrial search systems is typically implemented as a cascade of disparate, task-specific components. While indiv
and see, perhaps further reflection of the death of tokenmaxxing The price to rent an Nvidia H200 just collapsed from 7/hr to 4/hr in three weeks. A -40% drop in the cost of the single most strategic
Gary Marcus discusses declining prices for NVIDIA's H100 and H200 AI chips, suggesting that inflated valuations and returns on investment for AI hardware customers are becoming unsustainable as the ma
arXiv:2605.27678v1 Announce Type: new Abstract: Foundation model training is becoming multimodal, from post-training pipelines to large-scale pretraining. As modality coverage broadens, context window
Intel introduced the Arc G-Series processors, a new family designed for next-generation handheld gaming systems, launching with Arc G3 and Arc G3 Extreme processors running Windows 11 based on Intel C
This article likely explores practical applications of image processing for IoT devices deployed across hybrid cloud architectures, discussing how organizations can leverage both on-premises and cloud
arXiv:2605.28213v1 Announce Type: new Abstract: LLM-based agents are increasingly used to generate GPU kernels, but they often know what optimizations to try without knowing when those optimizations a
arXiv:2605.27787v1 Announce Type: cross Abstract: Multi-agent systems (MAS) have substantially advanced autonomous software engineering (SWE), but their growing inference energy demands raise sustaina