In a interesting discovery that sent a series of shockwaves through the Linux community, Andres Freund, Principal Software Engineer at Microsoft, located a malicious backdoor in the widely used compression tool called "xz Utils." The backdoor, introduced in versions 5.6.0 and 5.6.1 of the utility, can break the robust encryption provided by the Secure Shell (SSH) protocol, allowing unauthorized access to affected systems. What Andres Freund found is that the latest version of xz Utils is taking 0.5 seconds in SSH on his system, while the older system with the older version took 0.1 seconds for simple processing, prompting the user to investigate and later send a widespread act for caution. While there are no confirmed reports of the backdoored versions being incorporated into production releases of major Linux distributions, the incident has raised serious concerns among users and developers alike.

Red Hat and Debian, two of the most well-known Linux distribution developers, have reported that their recently published beta releases, including Fedora 40, Fedora Rawhide, and Debian testing, unstable, and experimental distributions, used at least one of the affected versions of xz Utils. According to Red Hat officials, the first signs of the backdoor were introduced in a February 23 update, which added obfuscated (unreadable) code to xz Utils. A subsequent update the following day introduced functions for deobfuscating the code and injecting it into code libraries during the utility's update process. The malicious code has been cleverly hidden only in the tarballs, which target upstream releases of Linux distributions.

Other World Computing, the leading provider of computer hardware, accessories, and software that bring artistic expression and the digital world together for creative professionals and consumers of technology, today unveiled SoftRAID 8, a groundbreaking new software release that redefines RAID management for Mac and Windows environments.

Quickly accessing data with the right safeguards is a difficult balance. Whether it is enhancing multimedia production workflows, protecting critical business files, or ensuring uninterrupted access to valuable data, OWC's SoftRAID is the ideal solution to manage RAID arrays. SoftRAID implements the latest performance technology unleashing remarkable speeds on a RAID system. Simply connect the drive array, format the preferred RAID level, and experience the breakneck speeds first-hand. RAID management has never been this powerful and easy to use.

AMD today released the latest version of the Ryzen Chipset Software. Version 6.02.07.2300 WHQL updates the driver versions of its various component drivers, and is applicable to AMD 300-series through 600-series desktop chipsets; and TRX and WRX series Ryzen Threadripper chipsets. The version also identifies a few issues that will be addressed in future updates, such as non-English driver names appearing in the English language selection; incorrect Uninstall log when uninstallation fails; and a failure to upgrade Ryzen PPKG.

The installer from AMD has now been fixed, and we are now hosting the 6.02.07.2300 driver.

DOWNLOAD: AMD Chipset Software 6.02.07.2300 WHQL

Microsoft's DirectX department is scheduled to show off several innovations at this month's Game Developers Conference (GDC), although a late February preview has already spilled their DirectSR Super Resolution API's beans. Today, retail support for Shader Model 6.8 and Work Graphs has been introduced with an updated version of the company's Agility Software Development Kit. Program manager, Joshua Tucker, stated that these technologies will be showcased on-stage at GDC 2024—Shader Model 6.8 arrives with a "host of new features for shader developers, including Start Vertex/Instance Location, Wave Size Range, and Expanded Comparison Sampling." A linked supplementary article—D3D12 Work Graphs—provides an in-depth look into the cutting-edge API's underpinnings, best consumed if you have an hour or two to spare.

Tucker summarized the Work Graphs API: "(it) utilizes the full potential of your GPU. It's not just an upgrade to the existing models, but a whole new paradigm that enables more efficient, flexible, and creative game development. With Work Graphs, you can generate and schedule GPU work on the fly, without relying on the host. This means you can achieve higher performance, lower latency, and greater scalability for your games with tasks such as culling, binning, chaining of compute work, and much more." AMD and NVIDIA are offering driver support on day one. Team Red has discussed the launch of "Microsoft DirectX 12 Work Graphs 1.0 API" in a GPUOpen blog—they confirm that "a deep dive" into the API will happen during their Advanced Graphics Summit presentation. NVIDIA's Wessam Bahnassi has also discussed the significance of Work Graphs—check out his "Advancing GPU-driven rendering" article. Graham Wihlidal—of Epic Games—is excited about the latest development: "we have been advocating for something like this for a number of years, and it is very exciting to finally see the release of Work Graphs."

2024 will be the year generative AI gets personal, the CEOs of NVIDIA and HP said today in a fireside chat, unveiling new laptops that can build, test and run large language models. "This is a renaissance of the personal computer," said NVIDIA founder and CEO Jensen Huang at HP Amplify, a gathering in Las Vegas of about 1,500 resellers and distributors. "The work of creators, designers and data scientists is going to be revolutionized by these new workstations."

Greater Speed and Security
"AI is the biggest thing to come to the PC in decades," said HP's Enrique Lores, in the runup to the announcement of what his company billed as "the industry's largest portfolio of AI PCs and workstations." Compared to running their AI work in the cloud, the new systems will provide increased speed and security while reducing costs and energy, Lores said in a keynote at the event. New HP ZBooks provide a portfolio of mobile AI workstations powered by a full range of NVIDIA RTX Ada Generation GPUs. Entry-level systems with the NVIDIA RTX 500 Ada Generation Laptop GPU let users run generative AI apps and tools wherever they go. High-end models pack the RTX 5000 to deliver up to 682 TOPS, so they can create and run LLMs locally, using retrieval-augmented generation (RAG) to connect to their content for results that are both personalized and private.

NVIDIA's Compute Unified Device Architecture (CUDA) has long been the de facto standard programming interface for developing GPU-accelerated software. Over the years, NVIDIA has built an entire ecosystem around CUDA, cementing its position as the leading GPU computing and AI manufacturer. However, rivals AMD and Intel have been trying to make inroads with their own open API offerings—ROCm from AMD and oneAPI from Intel. The idea was that developers could more easily run existing CUDA code on non-NVIDIA GPUs by providing open access through translation layers. Developers had created projects like ZLUDA to translate CUDA to ROCm, and Intel's CUDA to SYCL aimed to do the same for oneAPI. However, with the release of CUDA 11.5, NVIDIA appears to have cracked down on these translation efforts by modifying its terms of use, according to developer Longhorn on X.

"You may not reverse engineer, decompile or disassemble any portion of the output generated using Software elements for the purpose of translating such output artifacts to target a non-NVIDIA platform," says the CUDA 11.5 terms of service document. The changes don't seem to be technical in nature but rather licensing restrictions. The impact remains to be seen, depending on how much code still requires translation versus running natively on each vendor's API. While CUDA gave NVIDIA a unique selling point, its supremacy has diminished as more libraries work across hardware. Still, the move could slow the adoption of AMD and Intel offerings by making it harder for developers to port existing CUDA applications. As GPU-accelerated computing grows in fields like AI, the battle for developer mindshare between NVIDIA, AMD, and Intel is heating up.

ServiceNow, Hugging Face, and NVIDIA today announced the release of StarCoder2, a family of open-access large language models for code generation that sets new standards for performance, transparency, and cost-effectiveness. StarCoder2 was developed in partnership with the BigCode Community, managed by ServiceNow, the leading digital workflow company making the world work better for everyone, and Hugging Face, the most-used open-source platform, where the machine learning community collaborates on models, datasets, and applications. Trained on 619 programming languages, StarCoder2 can be further trained and embedded in enterprise applications to perform specialized tasks such as application source code generation, workflow generation, text summarization, and more. Developers can use its code completion, advanced code summarization, code snippets retrieval, and other capabilities to accelerate innovation and improve productivity.

StarCoder2 offers three model sizes: a 3-billion-parameter model trained by ServiceNow; a 7-billion-parameter model trained by Hugging Face; and a 15-billion-parameter model built by NVIDIA with NVIDIA NeMo and trained on NVIDIA accelerated infrastructure. The smaller variants provide powerful performance while saving on compute costs, as fewer parameters require less computing during inference. In fact, the new 3-billion-parameter model matches the performance of the original StarCoder 15-billion-parameter model. "StarCoder2 stands as a testament to the combined power of open scientific collaboration and responsible AI practices with an ethical data supply chain," emphasized Harm de Vries, lead of ServiceNow's StarCoder2 development team and co-lead of BigCode. "The state-of-the-art open-access model improves on prior generative AI performance to increase developer productivity and provides developers equal access to the benefits of code generation AI, which in turn enables organizations of any size to more easily meet their full business potential."

According to a Game Developers Conference (GDC) 2024 schedule page, Microsoft is planning to present next-gen technologies with their upcoming "DirectX State of the Union Ft. Work Graphs and Introducing DirectSR" presentation. Shawn Hargreaves, Direct3D's Development Manager and Austin Kinross (PIX Developer Lead, Microsoft) are scheduled to discuss matters with representatives from NVIDIA and AMD. Wessam Bahnassi, a "20-year veteran in 3D engine design and optimization," is Team Green's Principal Engineer of Developer Technology. Rob Martin, a Fellow Software Engineer, will be representing all things Team Red—where he leads development on implementations for GPU Work Graphs. According to GDC, the intended audience will be: "graphics developers or technical directors from game studios or engine companies."

Earlier this month, an "Automatic super resolution" feature was discovered in Windows 11 Insider Preview build (24H2)—the captioned part stated: "use AI to make supported games play more smoothly with enhanced details," although further interface options granted usage in desktop applications as well. Initial analysis and user impressions indicated that Microsoft engineers had created a proprietary model, separate from familiar technologies: NVIDIA DLSS, AMD FSR and Intel XeSS. It is interesting to note that Team Blue is not participating in the upcoming March 21 "DirectX State of the Union" panel discussion (a sponsored session). GDC's event description states (in full): "The DirectX team will showcase the latest updates, demos, and best practices for game development with key partners from AMD and NVIDIA. Work graphs are the newest way to take full advantage of GPU hardware and parallelize workloads. Microsoft will provide a preview into DirectSR, making it easier than ever for game devs to scale super resolution support across Windows devices. Finally, dive into the latest tooling updates for PIX."

Building on our previously announced support of the AMD Radeon RX 7900 XT, XTX and Radeon PRO W7900 GPUs with AMD ROCm 5.7 and PyTorch, we are now expanding our client-based ML Development offering, both from the hardware and software side with AMD ROCm 6.0. Firstly, AI researchers and ML engineers can now also develop on Radeon PRO W7800 and on Radeon RX 7900 GRE GPUs. With support for such a broad product portfolio, AMD is helping the AI community to get access to desktop graphics cards at even more price points and at different performance levels.

Furthermore, we are complementing our solution stack with support for ONNX Runtime. ONNX, short for Open Neural Network Exchange, is an intermediary Machine Learning framework used to convert AI models between different ML frameworks. As a result, users can now perform inference on a wider range of source data on local AMD hardware. This also adds INT8 via MIGraphX—AMD's own graph inference engine—to the available data types (including FP32 and FP16). With AMD ROCm 6.0, we are continuing our support for the PyTorch framework bringing mixed precision with FP32/FP16 to Machine Learning training workflows.

Game streaming and content creation is continuously expanding with new tools. Gamers desire products that push the boundaries of play and allow for more customization options than ever. Customizable lighting has been one of the most effective ways to add a unique personality to devices and experiences. It's also a powerful force for immersion, creativity and learning, and sets your game stream apart from the others. LIGHTSYNC RGB empowers users with endless lighting customization. Now, with the addition of Dynamic Windows, LIGHTSYNC just got bigger, better, and brighter. Shine on!"

Dynamic Lighting empowers users to get the most out of their RGB devices with one consistent experience across all compatible devices. This new standard provides a new way for Logitech G users to configure their LIGHTSYNC capable devices by leveraging Windows 11 to directly send lighting to their devices. Dynamic Lighting allows for third party applications on Windows to directly address RGB-enabled LEDs on connected devices. Any compatible device can receive lighting events, and any developer can build applications using this standard to control their lighting environment.

An emergency update is being pushed for Surveillance Center in response to a severe vulnerability detected in the software that could potentially allow an attacker to gain control elevated privileges to execute code on ADM to install malware. This update fixes this underlying vulnerability. ASUSTOR strongly urges all users of Surveillance Center for ADM to install the latest version as soon as possible to protect themselves and to minimize the risk of malware infection. ASUSTOR also recommends taking additional security measures to guard against the potential harms of malware in accordance with previously announced protective measures.

ASUSTOR strongly recommends taking the following actions to ensure your data is secure:

• Change your password.
• Use a strong password.
• Change default HTTP and HTTPS ports. Default ports are 8000 and 8001 respectively.
• Turn off Terminal/SSH and SFTP services and other services you do not use.
• Make regular backups and ensure backups are up to date.
• Turn on and update snapshots if available.
• Enable the AbuseIPDB risk detection greylist.

Video interface and IP workflow innovator Magewell has announced that the company has joined the Q-SYS Technology Partner Program. This program enables software and hardware technology partners to create market-ready solutions that integrate seamlessly with Q-SYS, a cloud-manageable audio, video and control platform. The first result of the initiative—the Q-SYS Control plugin for Magewell's USB Fusion video capture, mixing and presentation device—has been endorsed with Q-SYS Certified status and is now available for download through the Q-SYS Designer Asset Manager found in Q-SYS Designer Software.

Magewell will showcase USB Fusion among other innovations in stand 5E710 at the ISE 2024 exhibition in Barcelona from January 30 to February 2. Magewell's USB Fusion hardware and accompanying app let users easily combine cameras, wired or wireless screenshares, and media file sources into visually compelling live presentations for streaming, live event production, online lectures, webinars, video conferencing and other applications. Users can switch between sources or combine inputs into attractive scene layouts.

GIGABYTE Technology, a leading global powerhouse in motherboards, graphics cards, and cutting-edge hardware solutions, has always committed to improving user experiences and proactively preventing any unforeseen issues, announces a crucial software update for its users.

GIGABYTE has received user feedback regarding unexpected behavior and issues when using certain brand memory modules in conjunction with GCC (GIGABYTE Control Center). After thorough investigation, it was identified that some DDR modules did not comply with JEDEC specifications, leading to the failure of SPD write protection. The issue was promptly addressed within a month by updating the BIOS to enable SPD write protection from motherboard side, thereby assisting customers in avoiding and resolving the problem.

Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), and NVIDIA (NASDAQ: NVDA) today announced an expansion of their strategic collaboration to deliver the most-advanced infrastructure, software and services to power customers' generative artificial intelligence (AI) innovations. The companies will bring together the best of NVIDIA and AWS technologies—from NVIDIA's newest multi-node systems featuring next-generation GPUs, CPUs and AI software, to AWS Nitro System advanced virtualization and security, Elastic Fabric Adapter (EFA) interconnect, and UltraCluster scalability—that are ideal for training foundation models and building generative AI applications.

The expanded collaboration builds on a longstanding relationship that has fueled the generative AI era by offering early machine learning (ML) pioneers the compute performance required to advance the state-of-the-art in these technologies.

Leading global motherboard manufacturer, ASRock, today launched ASRock AI QuickSet software tool. ASRock AI QuickSet software tool can help users quickly download, install and set up artificial intelligence (AI) applications. The first version is launched based on the Microsoft Windows 11 64-bit platform and utilizes the powerful computing performance of ASRock's own AMD Radeon RX 7000 series graphics cards to optimize the operating performance of two well-known open source artificial intelligence (AI) drawing applications, Shark and Stable Diffusion web UI, so that interested users can quickly experience the fun of artificial intelligence (AI) at their fingertips.

AMD today announced the signing of a definitive agreement to acquire Nod.ai to expand the company's open AI software capabilities. The addition of Nod.ai will bring an experienced team that has developed an industry-leading software technology that accelerates the deployment of AI solutions optimized for AMD Instinct data center accelerators, Ryzen AI processors, EPYC processors, Versal SoCs and Radeon GPUs to AMD. The agreement strongly aligns with the AMD AI growth strategy centered on an open software ecosystem that lowers the barriers of entry for customers through developer tools, libraries and models.

"The acquisition of Nod.ai is expected to significantly enhance our ability to provide AI customers with open software that allows them to easily deploy highly performant AI models tuned for AMD hardware," said Vamsi Boppana, senior vice president, Artificial Intelligence Group at AMD. "The addition of the talented Nod.ai team accelerates our ability to advance open-source compiler technology and enable portable, high-performance AI solutions across the AMD product portfolio. Nod.ai's technologies are already widely deployed in the cloud, at the edge and across a broad range of end point devices today."

Intel's next-generation Lunar Lake processor has appeared in the SiSoftware Sandra benchmarking suite, and the online database has revealed many details, thanks to a spotting by @Olrak29 of X/Twitter. Considering Intel's Meteor Lake is still two months away from its launch, the presence of Lunar Lake's benchmarks is indeed intriguing. Interestingly, Intel showcased a Lunar Lake laptop at the Intel Innovation 2023 event, and this SiSoft entry might be related to that demo. The data from SiSoft details the system as a "Genuine Inte l(R) 0000 1.00 GHz (5M 20c 3.91 GHz + 2.61 GHz, 3.3 GHz IMC, 4x 2.5 MB + 4 MB L2, 2x 8 MB L3)," hinting at a "Lunar Lake Client System (Intel LNL-M LP5 RVP1)." Deciphering these details, the Lunar Lake system adopts a 4+4 core configuration, utilizing a mix of Lion Cove and Skymont architecture cores tailored for performance and efficiency.

Moreover, the benchmark report pegs this CPU as a low-power laptop variant with a 17 W TDP. While it operates at a 1.0 GHz base frequency, it reached a speed of 3.91 GHz during the testing. However, these numbers should be taken cautiously since it's likely an engineering sample. Cache details are outlined, suggesting a 2.5 MB L2 cache per P-core, an added 4 MB L2 cache for E-cores, and a 16 MB L3 cache. No details on the integrated GPU were revealed, although it's anticipated that Lunar Lake will house Intel's Xe2-LPG graphics and LPDDR5 system memory. Intel has shared that Lunar Lake is scheduled for a 2024 release in mobile/laptop devices, targeting performance-per-watt leadership. Arrow Lake processors, catering to desktops, might share the core architecture and are anticipated to launch around the same timeframe.

AMD today released the latest version of the AMD Software Adrenalin drivers. Version 23.9.3 WHQL comes with optimization for "Cyberpunk 2077: Phantom Liberty," and "PAYDAY 3." The drivers also add optimization for generative AI tools MeanVarianceNormalization (MVN) and Stable Diffusion variants. With this release, the company didn't include any fixes, but identified a handful new issues.

Adrenalin 23.9.3 WHQL, along with its preceding 23.9.2 WHQL, see AMD release separate installers for RDNA-only and RDNA + pre-RDNA GPUs, both with the same release notes. The RDNA release supports only Radeon RX 5000 series, RX 6000 series, and RX 7000 series; while the RDNA + pre-RDNA combo release is meant for Radeon RX Vega series, RX 500 series, and RX 400 series (Polaris) on top of the RX 5000 (or later) GPUs. The RDNA-only release is 640 MB in size, while the RDNA + pre-RDNA combo package is 1.2 GB.

DOWNLOAD: AMD Software Adrenalin 23.9.3 WHQL (RX 5000 and later) | AMD Software Adrenalin 23.9.3 (RX Vega and older)

KIOXIA America, Inc. today announced that it has donated a command set specification to the Linux Foundation vendor-neutral Software-Enabled FlashTM Project. Built to deliver on the promise of software-defined flash, Software-Enabled Flash technology gives storage developers control over their data placement, latency outcomes, and workload isolation requirements. Through its open API and SDKs, hyperscale environments may optimize their own flash protocols, such as flexible direct placement (FDP) or zoned namespace (ZNS), while accelerating adoption of new flash technologies. This unique combination of open source software and purpose-built hardware can help data centers maximize the value of flash memory. KIOXIA has developed working samples of hardware modules for hyperscalers, storage developers and application developers.

"We are delighted to provide command set specifications to the Software-Enabled Flash Project," said Eric Ries, senior vice president and general manager of the Memory and Storage Strategy Division for KIOXIA America, Inc. "This is an important step that allows the ecosystem to bring products to market, and enables customers to extract the maximum value from flash memory."

AMD has released the latest version of the Adrenalin software, the version 23.9.1 WHQL. The new AMD Software Adrenalin Edition 23.9.1 WHQL adds support for Radeon RX 7700 and RX 7800 series graphics cards which will be available as of today, as well as adds support for AMD Radeon Anti-Lag, Radeon Boost, and AMD HYPR-RX features.

The AMD Radeon Anti-Lag+ initially supports 12 games, including Apex Legends, Overwatch 2, Dying Light 2, Shadow of the Tomb Raider, Rise of the Tomb Raider, Resident Evil 4, Ghostwire: Tokyo, Fortnite, Last of Us: Part 1, Star Wars Jedi: Survivor, Resident Evil 3, and Borderlands 3, with more promised in the coming months. It also adds support for AMD HYPER-X, a one click solution which combines AMD Radeon Anti-Lag+, Boost, and Radeon Super Resolution to achieve improved performance and latency reduction.

DOWNLOAD: AMD Software Adrenalin 23.9.1 WHQL for AMD Radeon RX 7700 XT and RX 7800 XT
DOWNLOAD: AMD Software Adrenalin 23.9.1

AMD has released the latest Adrenalin 23.8.1 WHQL driver, bringing support for Immortals of Aveum game, as well as several fixes, including issues with high idle power when using multi-display setups with mixed high-resolutions and high refresh rate on Radeon RX 7000 series GPUs when variable refresh rate is enabled, issues with performance drop on DirectX 11 games on Radeon RX 5600 XT when AMD SmartAccess Memory is enabled, issues in Ratchet & Clank: Rift Apart game with ray tracing and Dynamic Resolution Scaling enabled on some AMD graphics cards, issues in Starcraft II on Radeon RX 7000 series GPUs, corruption issues in Rocket League with Bloom set to off on certain AMD graphics cards, and performance drop on Radeon 700M series GPUs in various games.

Unfortunately, AMD still has not fixed issues with Baldur's Gate 3 with DirectX 11 API on Radeon RX 7000 series graphics cards. AMD also included an important notes section stating that the factory reset is still temporarily disabled as a precautionary measure due to isolated installation issues during PC upgrades, and AMD Cleanup Utility can be used as a temporary option.

DOWNLOAD: AMD Software Adrenalin 23.8.1 WHQL

We are happy to announce the release of Radeon GPU Detective (RGD) v1.0 - a tool for post-mortem analysis of GPU crashes. The tool allows developers to retrieve and analyze AMD GPU crash dumps and produce information that can help narrow down the search for a crash's root cause. Such information includes page fault details, resource details and execution markers reflecting the GPU work that was in progress at the moments leading to the crash.

This first version of the tool supports analysis of GPU crashes on Windows ("TDRs") in Direct3D 12 applications and requires a RX 6000 series (RDNA 2) or RX 7000 series (RDNA 3) card, in addition to the latest public AMD Radeon Adrenalin Software.

Lenovo Group today announced first quarter results, reporting Group revenue of US$12.9 billion and net income of US$191 million on a non-Hong Kong Financial Reporting Standards (HKFRS) basis. Revenue from the non-PC businesses accounted for 41% of Group revenue, with the service-led business achieving strong growth and sustained profitability - further demonstrating the effectiveness of Lenovo's intelligent transformation strategy.

The Group continues to take proactive actions to keep its Expenses-to-Revenue (E/R) ratio resilient and drive sustainable profitability, whilst also investing for growth and transformation. It remains committed to doubling investment in innovation in the mid-term, including an additional US$1 billion investment over three years to accelerate artificial intelligence (AI) deployment for businesses around the world - specifically AI devices, AI infrastructure, and AI solutions.

KIOXIA America, Inc. today announced the availability of the first hardware samples that support the Linux Foundation's vendor-neutral Software-Enabled Flash Community Project, which is making flash software-defined. The company is expecting to deliver customer samples in August 2023. Built for the demanding needs of hyperscale environments, Software-Enabled Flash technology helps hyperscale cloud providers and storage developers maximize the value of flash memory. The hardware from KIOXIA is the first step to putting this working technology in the hands of developers.

The first running units will be showcased in live demonstrations in the KIOXIA booth (#307) next week at Flash Memory Summit 2023 (FMS 2023). This new class of drive consists of purpose-built, media-centric flash hardware focused on hyperscale requirements that work with an open source API and libraries to provide the needed functionality. By unlocking the power of flash, this technology breaks free from legacy hard disk drive (HDD) protocols and creates a platform specific to flash media in a hyperscale environment.

NVIDIA joined Pixar, Adobe, Apple and Autodesk today to found the Alliance for OpenUSD, a major leap toward unlocking the next era of 3D graphics, design and simulation. The group will standardize and extend OpenUSD, the open-source Universal Scene Description framework that's the foundation of interoperable 3D applications and projects ranging from visual effects to industrial digital twins.

Several leading companies in the 3D ecosystem already signed on as the alliance's first general members—Cesium, Epic Games, Foundry, Hexagon, IKEA, SideFX and Unity. Standardizing OpenUSD will accelerate its adoption, creating a foundational technology that will help today's 2D internet evolve into a 3D web. Many companies are already working with NVIDIA to pioneer this future.