Search: “hardware”

As organizations move from AI pilots to production AI factories, infrastructure decisions have shifted from peak chip specifications to cost per token: how many useful tokens they can deliver per doll

In this post, we explore how Outpost VFX achieved 8x faster training speeds using AWS infrastructure to transform their face replacement workflow, the technical architecture they implemented to overco

Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners, and enterprises can transform their workflows using the latest advances in OpenUSD and NVI

arXiv:2606.28565v1 Announce Type: cross Abstract: As large language models (LLMs) move into production serving, practitioners must rapidly evaluate inference performance across diverse hardware, model

arXiv:2606.29119v1 Announce Type: cross Abstract: We introduce a pre-registered screening rule that decides, before any implementation, whether an evolutionary / population / lifecycle outer loop over

Amazon Web Services Inc.‘s next-generation silicon is working its way deeper into the company’s cloud compute infrastructure offerings with the debut of the new Amazon EC2 C9g and EC2 C9gd instances t

Agentic AI is driving key technology providers to rethink the computing architecture required to run rapidly expanding autonomous systems. In response to this challenge, two leading tech companies hav

Project gallery and whitepaper: https://research.nvidia.com/labs/gear/aspire/ ASPIRE is a great collaboration between NVIDIA GEAR lab, UMich, Berkeley, and CMU. Kudos to all the coauthors who pour the

arXiv:2606.29329v1 Announce Type: new Abstract: We study the problem of physically plausible shadow casting when animating 3D Gaussian Splatting (3DGS) avatars, either individually or in multi-avatar

arXiv:2606.30436v1 Announce Type: new Abstract: Scaling monocular 3D Gaussian Splatting (3DGS) SLAM to kilometer-level outdoor environments poses two tightly coupled challenges: fragile long-term pose

arXiv:2602.15727v2 Announce Type: replace-cross Abstract: Visual analogy learning enables image editing via demonstration rather than textual description, allowing users to specify complex transformat

arXiv:2403.07711v5 Announce Type: replace-cross Abstract: Given the remarkable achievements in image generation through diffusion models, the research community has shown increasing interest in extend

Chip component supplier Stathera Inc. today announced that it has closed a 35 million funding round. Semiconductor-focused fund Maverick Silicon led the Series A deal. It was joined by chipmaker Media

arXiv:2606.21401v2 Announce Type: replace-cross Abstract: Agentic AI applications compose multiple model calls and tool executions, creating new scheduling challenges for GPU-CPU clusters. Their infer

TokenBudgeting examines enterprise spending patterns and cost management strategies related to AI token consumption, based on SemiAnalysis's direct conversations with corporate customers. The analysis

arXiv:2602.04940v2 Announce Type: replace Abstract: Deep learning has emerged as a transformative tool for the neural surrogate modeling of partial differential equations (PDEs), known as neural PDE s

arXiv:2601.16956v1 Announce Type: cross Abstract: The rapid growth of Large Transformer-based models, specifically Large Language Models (LLMs), now scaling to trillions of parameters, has necessitate

Dylan Patel discusses concerns within the AI startup ecosystem about potential Chinese AI model bans and their impact on companies generating significant revenue. The post appears to address industry-

Firefly Aerospace partnered with NVIDIA to deploy an NVIDIA Jetson module on its Elytra spacecraft in lunar orbit, enabling on-orbit AI processing for the Ocula Moon imaging service. The Jetson module

Going to be in Paris for @RaiseSummit? Join us and @nvidia to hear from leaders at both companies on the future of AI inference and infrastructure. After that: cocktails and a DJ. Oh la la! See you th

Enterprise autonomous AI agents inspect code, run tests, search documents, and operate for extended periods on behalf of users , requiring governance frameworks to control access and actions. The Ente

This newsletter issue covers three major topics in AI development: advances in self-improving robotic systems, details about a large-scale Chinese GPU cluster with 10,000 units for AI training, and a

Nvidia CEO Jensen “@Tesla stack is the most advanced autonomous vehicle stack in the world. I’m fairly certain they were already using end-to-end AI. Whether their AI did reasoning or not in somewhat

One day left to submit your projects for the Hermes Agent Accelerated Business Hackathon presented by @NVIDIAAI × @stripe × @NousResearch! Submissions close 11:59 PM PT tomorrow, June 30th. Last minut

Debby Wu / Bloomberg: Source: Taiwanese authorities raided Super Micro's Taiwan office as part of a probe into the alleged smuggling of Nvidia chips to China; SMCI closed down 8.1% — Super Micro Compu

arXiv:2606.27396v1 Announce Type: cross Abstract: Test-input generation for tensor kernels is folkloric. Most projects pick a representative shape and dtype, run a fixed-shape allclose-style check, an

arXiv:2606.27538v1 Announce Type: cross Abstract: We introduce the context-ready transformer, a new recurrent neural network architecture built from a D-layer transformer block that pre-contextualizes

Many organizations today are floating in a ton of data. This is good for powering AI agents, but less favorable when it comes to identifying which signals from all of that data actually matter. The so

Bloomberg: Australia-based Firmus partners with Nvidia to build its first data center in Batam, Indonesia; the 360 MW Nvidia DSX AI factory campus is developed with DayOne — Firmus Technologies Pty Lt

This post humorously contrasts the competitive achievements people in San Francisco boast about—such as winning the International Mathematical Olympiad, achieving high competitive programming ratings,

Don Clark / New York Times: A look at advanced chip packaging, now more reliant on TSMC and its partners in Taiwan than ever, and the efforts to address this bottleneck in the US — A silicon wafer ref

Politico: AI executives and lobbyists say they are seeking regulatory clarity from the Trump administration but are wary of pressing for answers, fearing retaliation — The unpredictability was on disp

Bloomberg: How AI is shaping the 2026 US midterms, as public anger grows against data center expansion and the AI industry emerges as one of the biggest financial backers — From data center backlash t

NEW paper from NVIDIA. (bookmark it) Speed-of-light performance analysis tells you the theoretical floor of a workload, but teams still derive it by hand and freeze it. SOLAR automates the whole thing

Dylan Patel responds to criticism or skepticism (represented as 'negative Nancy') with an optimistic counterargument (playing on his own name as 'positive Patel'), likely defending a bullish outlook o

Adding my voice to the chorus who are saddened by @Om’s too-early passing. Just heartbroken to hear of the passing of the incredible Om Malik. @Om was always a pioneer, a deep thinker, and a truly ori

Catherine Perloff / The Information: AWS hikes prices for Nvidia GPUs in its EC2 Capacity Blocks service, which let businesses rent AI compute in advance, by 20%; Trainium chip pricing is unchanged —

B9816 is a release build number for llama.cpp, an open-source project that enables efficient large language model inference in C/C++ on consumer hardware. This release likely contains bug fixes, perfo

arXiv:2606.27315v1 Announce Type: new Abstract: Gradient equilibrium (GEQ) is a recently introduced online optimization framework that generalizes first-order stationarity from offline optimization an

BREAKING NEWS: OpenAI’s Technical Lead for Compute has returned to OpenAI after joining Meta in April 2026. What is going on at Meta that people are quitting after only a couple of months? Did Anuj ge

arXiv:2606.27229v1 Announce Type: cross Abstract: Recurrent models must forget in order to remember, yet the state of the art decides what to erase without consulting what is stored -- the gate sees o

arXiv:2606.26650v1 Announce Type: cross Abstract: In this paper, we present CAT-Q, Cost-efficient and Accurate Ternary Quantization, for compressing and accelerating LLMs. Unlike existing state-of-the

arXiv:2606.26547v1 Announce Type: cross Abstract: As Moore's law reaches its physical and economic limits, domain-specific approaches are increasingly employed to accelerate machine learning workloads

arXiv:2602.02016v2 Announce Type: replace Abstract: Shampoo is one of the leading approximate second-order optimizers: a variant of it has won the MLCommons AlgoPerf competition, and it has been shown

arXiv:2606.26780v1 Announce Type: new Abstract: Spin plays a crucial role in many ball sports due to its effect on the trajectory of the ball. Vision-based estimation of the ball's spin during a game

arXiv:2606.27216v1 Announce Type: cross Abstract: Muon-type optimizers construct update directions for dense neural-network weights by applying a finite Newton-Schulz map to momentum-gradient matrices