Cyberattacks are an existential risk, with 89% of organizations ranking ransomware as one of the top five threats to their viability, according to a November 2023 report from TechTarget's Enterprise Strategy Group, a leading analyst firm. And this is just one of many risks to corporate data—insider threats, data exfiltration, hardware failures, and natural disasters also pose significant danger. Moreover, as the just-released 2024 IBM X-Force Threat Intelligence Index states, as the generative AI market becomes more established, it could trigger the maturity of AI as an attack surface, mobilizing even further investment in new tools from cybercriminals. The report notes that enterprises should also recognize that their existing underlying infrastructure is a gateway to their AI models that doesn't require novel tactics from attackers to target.

To help clients counter these threats with earlier and more accurate detection, we're announcing new AI-enhanced versions of the IBM FlashCore Module technology available inside new IBM Storage FlashSystem products and a new version of IBM Storage Defender software to help organizations improve their ability to detect and respond to ransomware and other cyberattacks that threaten their data. The newly available fourth generation of FlashCore Module (FCM) technology enables artificial intelligence capabilities within the IBM Storage FlashSystem family. FCM works with Storage Defender to provide end-to-end data resilience across primary and secondary workloads with AI-powered sensors designed for earlier notification of cyber threats to help enterprises recover faster.

Qualcomm Technologies, Inc. unveiled its latest advancements in artificial intelligence (AI) at Mobile World Congress (MWC) Barcelona. From the new Qualcomm AI Hub, to cutting-edge research breakthroughs and a display of commercial AI-enabled devices, Qualcomm Technologies is empowering developers and revolutionizing user experiences across a wide range of devices powered by Snapdragon and Qualcomm platforms.

"With Snapdragon 8 Gen 3 for smartphones and Snapdragon X Elite for PCs, we sparked commercialization of on-device AI at scale. Now with the Qualcomm AI Hub, we will empower developers to fully harness the potential of these cutting-edge technologies and create captivating AI-enabled apps," said Durga Malladi, senior vice president and general manager, technology planning and edge solutions, Qualcomm Technologies, Inc. "The Qualcomm AI Hub provides developers with a comprehensive AI model library to quickly and easily integrate pre-optimized AI models into their applications, leading to faster, more reliable and private user experiences."

Morris Chang, TSMC's founder and semiconductor industry icon, was present at the opening ceremony of his company's new semiconductor fabrication plant in Kumamoto Prefecture, Japan. According to a Nikkei Asia article, Chang predicted that the nation will experience "a chip renaissance" during his February 24 commencement speech. The Japanese government also announced that it will supply an additional ¥732 billion ($4.86 billion) in subsidies for Taiwan Semiconductor Manufacturing Co. to expand semiconductor operations on the island of Kyūshū. Economy Minister Ken Saito stated: "TSMC is the most important partner for Japan in realizing digital transformation, and its Kumamoto factory is an important contributor for us to stably procure cutting-edge logic chips that is extremely essential for the future of industries in Japan."

Chang disclosed some interesting insights during last weekend's conference segment—according to Nikkei's report, he revealed that unnamed TSMC customers had made some outlandish requests: "They are not talking about tens of thousands of wafers. They are talking about fabs, (saying): 'We need so many fabs. We need three fabs, five fabs, 10 fabs.' Well, I can hardly believe that one." The Taiwanese chip manufacturing giant reportedly has the resources to create a new "Gigafab" within reasonable timeframes, but demands for (up to) ten new plants are extremely fanciful. Chang set expectations at a reasonable level—he predicted that demand for AI processors would lie somewhere in the middle ground: "between tens of thousands of wafers and tens of fabs." Past insider reports suggested that OpenAI has been discussing the formation of a proprietary fabrication network, with proposed investments of roughly $5 to $7 trillion. OpenAI CEO, Sam Altman, reportedly engaged in talks with notable contract chip manufacturers—The Wall Street Journal posited that TSMC would be an ideal partner.

Jon Peddie Research reports the growth of the global PC-based graphics processor unit (GPU) market reached 76.2 million units in Q4'23 and PC CPU shipments increased an astonishing 24% year over year, the biggest year-to-year increase in two and a half decades. Overall, GPUs will have a compound annual growth rate of 3.6% during 2024-2026 and reach an installed base of almost 5 billion units at the end of the forecast period. Over the next five years, the penetration of discrete GPUs (dGPUs) in the PC will be 30%.

AMD's overall market share decreased by -1.4% from last quarter, Intel's market share increased 2.8, and Nvidia's market share decreased by -1.36%, as indicated in the following chart.

LG Electronics (LG) is ramping up its strategic collaboration with the global tech powerhouse, Meta Platforms, Inc. (Meta), aiming to expedite its extended reality (XR) ventures. The aim is to combine the strengths of both companies across products, content, services and platforms to drive innovation in customer experiences within the burgeoning virtual space.

Forging an XR Collaboration With Meta
On February 28, LG's top management, including CEO William Cho and Park Hyoung-sei, president of the Home Entertainment Company, met with Meta Founder and CEO Mark Zuckerberg at LG Twin Towers in Yeouido, Seoul. This meeting coincided with Zuckerberg's tour of Asia. The two-hour session saw discussions on business strategies and considerations for next-gen XR device development. CEO Cho, while experiencing the Meta Quest 3 headset and Ray-Ban Meta smart glasses, expressed a keen interest in Meta's advanced technology demonstrations, notably focusing on Meta's large language models and its potential for on-device AI integration.

World's most important fuel of the AI frenzy, NVIDIA, is facing accusations of acting as a "GPU cartel" and controlling supply in the data center market, according to statements made by executives at rival chipmaker Groq and former AMD executive Scott Herkelman. In an interview with the Wall Street Journal, Groq CEO Jonathan Ross alleged that some of NVIDIA's data center customers are afraid to even meet with rival AI chipmakers out of fear that NVIDIA will retaliate by delaying shipments of already ordered GPUs. This is despite NVIDIA's claims that it is trying to allocate supply fairly during global shortages. "This happens more than you expect, NVIDIA does this with DC customers, OEMs, AIBs, press, and resellers. They learned from GPP to not put it into writing. They just don't ship after a customer has ordered. They are the GPU cartel, and they control all supply," said former Senior Vice President and General Manager at AMD Radeon, Scott Herkelman, in response to the accusations on X/Twitter.

The NVIDIA H100 Tensor Core GPU was last year's hot item for HPC and AI industry segments—the largest purchasers were reported to have acquired up to 150,000 units each. Demand grew so much that lead times of 36 to 52 weeks became the norm for H100-based server equipment. The latest rumblings indicate that things have stabilized—so much so that some organizations are "offloading chips" as the supply crunch cools off. Apparently it is more cost-effective to rent AI processing sessions through cloud service providers (CSPs)—the big three being Amazon Web Services, Google Cloud, and Microsoft Azure.

According to a mid-February Seeking Alpha report, wait times for the NVIDIA H100 80 GB GPU model have been reduced down to around three to four months. The Information believes that some companies have already reduced their order counts, while others have hardware sitting around, completely unused. Maintenance complexity and costs are reportedly cited as a main factors in "offloading" unneeded equipment, and turning to renting server time from CSPs. Despite improved supply conditions, AI GPU demand is still growing—driven mainly by organizations dealing with LLM models. A prime example being Open AI—as pointed out by The Information—insider murmurings have Sam Altman & Co. seeking out alternative solutions and production avenues.

Tech giant Microsoft and Paris-based startup Mistral AI, an innovator in open-source AI model development, have announced a new multi-year partnership to accelerate AI innovation and expand access to Mistral's state-of-the-art models. The collaboration will leverage Azure's cutting-edge AI infrastructure to propel Mistral's research and bring its innovations to more customers globally. The partnership focuses on three core areas. First, Microsoft will provide Mistral with Azure AI supercomputing infrastructure to power advanced AI training and inference for Mistral's flagship models like Mistral-Large. Second, the companies will collaborate on AI research and development to push AI model's boundaries. And third, Azure's enterprise capabilities will give Mistral additional opportunities to promote, sell, and distribute their models to Microsoft customers worldwide.

However, an investment in a European startup can not go smoothly without the constant eyesight of the European Union authorities and regulators to oversee the deal. According to Bloomberg, an EU spokesperson on Tuesday claimed that the EU regulators will perform an analysis of Microsoft's investment into Mistral after receiving a copy of the agreement between the two parties. While there is no formal investigation yet, if EU regulators continue to probe Microsoft's deal and intentions, they could launch a complete formal investigation that could lead to the termination of Microsoft's plans. Of course, the formal investigation is still on hold, but investing in EU startups might become unfeasible for American tech giants if the EU regulators continue to push the scrutiny of every investment made in companies based on EU soil.

Samsung Electronics announced that it is participating in the AI-RAN Alliance as a founding member, with the goal of promoting 6G innovation by combining AI technology and wireless communication technology. Officially launched at Mobile World Congress (MWC) Barcelona 2024 today, the AI-RAN Alliance is an organization aimed at revitalizing the convergence of AI and wireless communication and leading technology innovation through cooperation with related companies. A total of eleven organizations—including Samsung, Arm, Ericsson, Microsoft, Nokia, NVIDIA, SoftBank and Northeastern University—are participating as founding members. This new alliance will collaborate on the development of innovative new technologies, as well as the application of these technologies to commercial products in preparation for the upcoming 6G era.

"Emerging services in the 6G era will revolutionize the way people interact with technology, and AI will be an integral part of this trend," said Charlie Zhang, Senior Vice President at Samsung Research America. "The AI-RAN Alliance will foster collaboration, drive innovation and usher in a new era of transformation around AI and 6G networks. We believe this coalition will create new value for end users and operators through AI-based use cases and innovations."

Today at MWC 2024, Lenovo unveiled its latest portfolio of purpose-built AI devices, software, and infrastructure solutions, as well as showcased two proof-of-concepts devices that challenge the traditional PC and smartphone form factors. The company also revealed the future of hybrid AI fueling multi-device, software, and service offerings for more personalization, collaboration and efficiency.

"Lenovo's suite of AI-enabled, AI-ready, and AI-optimized devices, infrastructure, solutions, and services at MWC provides a wider look at our vision for "AI for All"," said Lenovo Chairman and CEO, Yuanqing Yang. "Lenovo's AI technology benefits organizations of all sizes, driving intelligent transformation across all industries while reinforcing our commitment to sustainability."

At MWC 2024, Intel announced its new Edge Platform, a modular, open software platform enabling enterprises to develop, deploy, run, secure, and manage edge and AI applications at scale with cloud-like simplicity. Together, these capabilities will accelerate time-to-scale deployment for enterprises, contributing to improved total cost of ownership (TCO).

"The edge is the next frontier of digital transformation, being further fueled by AI. We are building on our strong customer base in the market and consolidating our years of software initiatives to the next level in delivering a complete edge-native platform, which is needed to enable infrastructure, applications and efficient AI deployments at scale. Our modular platform is exactly that, driving optimal edge infrastructure performance and streamlining application management for enterprises, giving them both improved competitiveness and improved total cost of ownership," said Pallavi Mahajan, Intel corporate vice president and general manager of Network and Edge Group Software.

LG Electronics USA (LG) today announced pricing and availability of its 2024 premium lineup of laptops - the LG gram Pro and LG gram Pro 2-in-1. The 16- and 17-inch LG gram Pro models retail for $2399 (16Z90SP-A.ADB9U1) and $2499 (17Z90SP-E.ADB9U1) respectively while the CES 2024 Innovation Award-winning 16-inch gram Pro 2-in-1 (16T90SP-K.ADB9U1) retails for $2099. For a limited time, customers shopping on LG.com can pre-order the 16- and 17-inch LG gram Pro and 16-inch LG gram Pro 2-in-1.

Throughout the duration of the pre-order period from February 21, 2024, to March 10, 2024, customers will be able to purchase the 32 GB-RAM/2 TB-SSD LG gram Pro laptop for the price of a 16 GB-RAM/1 TB-SSD model of the same screen size. They'll also receive an LG gram +view IPS portable monitor (16MR70.ASDU) and expedited shipping at no additional cost. All standard terms of purchase apply.

Global technology brand HONOR today unveiled the HONOR MagicBook Pro 16, a revolutionary AI-powered laptop which sets to redefine the traditional laptop landscape. Based on HONOR's platform-level AI capabilities and joint efforts with technology partners such as Microsoft, Intel and NVIDIA, HONOR is bringing PCs into the AI PC era, marking a significant milestone in computing, offering users an unparalleled AI experience and transforming their device interactions.

"At HONOR, our commitment lies in embracing open collaboration with industry partners to foster a flourishing ecosystem. We firmly believe in the transformative power of collaborative synergy, especially in the era of AI. By leveraging the collective expertise of top industry players, we are dedicated to crafting exceptional products and delivering unparalleled experiences to consumers worldwide," said George Zhao, CEO at HONOR.

SmartCow, an AI engineering company specializing in building complex hardware and software solutions for artificial intelligence at the edge, announces the launch of their latest product, Uranus Plus, an AI fanless embedded system powered by the latest NVIDIA Jetson Orin NX and Jetson Orin Nano system-on-modules. With its thermally efficient design and compact form factor, Uranus Plus is suitable for various smart applications. Uranus Plus comes with options for 5G, 4G, and Wi-Fi connectivity and includes a 256Gb NVMe SSD, enabling the simultaneous operation of multiple neural networks and processing of high-resolution images, enhancing a groundbreaking benchmark in AI-driven capabilities at the edge with support up to 100 TOPS of AI compute.

Uranus Plus supercharges vision AI application development at the edge with NVIDIA Metropolis Microservices for Jetson through app stack modernization. Uranus Plus developers now get access to the latest generative AI capabilities through simple API calls, along with a far faster path to development and cloud-native deployment of vision AI applications at the far edge.

At MWC 2024, Intel announced new platforms, solutions and services spanning network and edge AI, Intel Core Ultra processors and the AI PC, and more. In an era where technological advancements are integral to staying competitive, Intel is delivering products and solutions for its customers, partners and expansive ecosystem to capitalize on the emerging opportunities of artificial intelligence and built-in automation, to improve total cost of ownership (TCO) and operational efficiency, and to deliver new innovations and services.

Across today's announcements, Intel is focused on empowering the industry to further modernize and monetize 5G, edge and enterprise infrastructures and investments, and to take advantage of bringing AI Everywhere. For more than a decade, and alongside Intel's customers and partners, the company has been transforming today's network infrastructure from fixed-function to a software-defined platform and driving success at the edge with more than 90,000 real-world deployments.

Intel just announced optimizations for PyTorch (IPEX) to take advantage of the AI acceleration features of its Arc "Alchemist" GPUs.PyTorch is a popular machine learning library that is often associated with NVIDIA GPUs, but it is actually platform-agnostic. It can be run on a variety of hardware, including CPUs and GPUs. However, performance may not be optimal without specific optimizations. Intel offers such optimizations through the Intel Extension for PyTorch (IPEX), which extends PyTorch with optimizations specifically designed for Intel's compute hardware.

Intel released a blog post detailing how to run Meta AI's Llama 2 large language model on its Arc "Alchemist" A770 graphics card. The model requires 14 GB of GPU RAM, so a 16 GB version of the A770 is recommended. This development could be seen as a direct response to NVIDIA's Chat with RTX tool, which allows GeForce users with >8 GB RTX 30-series "Ampere" and RTX 40-series "Ada" GPUs to run PyTorch-LLM models on their graphics cards. NVIDIA achieves lower VRAM usage by distributing INT4-quantized versions of the models, while Intel uses a higher-precision FP16 version. In theory, this should not have a significant impact on the results. This blog post by Intel provides instructions on how to set up Llama 2 inference with PyTorch (IPEX) on the A770.

NVIDIA is reported to be setting up an AI-focused semi-custom chip design business unit, according to inside sources known to Reuters—it is believed that Team Green leadership is adapting to demands leveraged by key data-center customers. Many companies are seeking cheaper alternatives, or have devised their own designs (budget/war chest permitting)—NVIDIA's current range of AI GPUs are simply off-the-shelf solutions. OpenAI has generated the most industry noise—their alleged early 2024 fund-raising pursuits have attracted plenty of speculative/kind-of-serious interest from notable semiconductor personalities.

Team Green is seemingly reacting to emerging market trends—Jensen Huang (CEO, president and co-founder) has hinted that NVIDIA custom chip designing services are on the cusp. Stephen Nellis—a Reuters reporter specializing in tech industry developments—has highlighted select NVIDIA boss quotes from an incoming interview piece: "We're always open to do that. Usually, the customization, after some discussion, could fall into system reconfigurations or recompositions of systems." The Team Green chief teased that his engineering team is prepared to take on the challenge meeting exact requests: "But if it's not possible to do that, we're more than happy to do a custom chip. And the benefit to the customer, as you can imagine, is really quite terrific. It allows them to extend our architecture with their know-how and their proprietary information." The rumored NVIDIA semi-custom chip design business unit could be introduced in an official capacity at next month's GTC 2024 Conference.

NVIDIA is anticipating supply issues for its upcoming Blackwell GPUs, which are expected to significantly improve artificial intelligence compute performance. "We expect our next-generation products to be supply constrained as demand far exceeds supply," said Colette Kress, NVIDIA's chief financial officer, during a recent earnings call. This prediction of scarcity comes just days after an analyst noted much shorter lead times for NVIDIA's current flagship Hopper-based H100 GPUs tailored to AI and high-performance computing. The eagerly anticipated Blackwell architecture and B100 GPUs built on it promise major leaps in capability—likely spurring NVIDIA's existing customers to place pre-orders already. With skyrocketing demand in the red-hot AI compute market, NVIDIA appears poised to capitalize on the insatiable appetite for ever-greater processing power.

However, the scarcity of NVIDIA's products may present an excellent opportunity for significant rivals like AMD and Intel. If both companies can offer a product that could beat NVIDIA's current H100 and provide a suitable software stack, customers would be willing to jump to their offerings and not wait many months for the anticipated high lead times. Intel is preparing the next-generation Gaudi 3 and working on the Falcon Shores accelerator for AI and HPC. AMD is shipping its Instinct MI300 accelerator, a highly competitive product, while already working on the MI400 generation. It remains to be seen if AI companies will begin the adoption of non-NVIDIA hardware or if they will remain a loyal customer and agree to the higher lead times of the new Blackwell generation. However, capacity constrain should only be a problem at launch, where the availability should improve from quarter to quarter. As TSMC improves CoWoS packaging capacity and 3 nm production, NVIDIA's allocation of the 3 nm wafers will likely improve over time as the company moves its priority from H100 to B100.

SK Hynix Vice President Kitae Kim presides over the company's HBM Sales & Marketing (S&M) department—an official leadership blog profile reveals that the executive played a key role in making the South Korean supplier's high bandwidth memory (HBM) product line "a superstar of the semiconductor memory industry in 2023." Growing demand for powerful AI processors has placed SK Hynix in a more comfortable position, following recessive spells—including a major sales downturn in 2022. NVIDIA is the market leader in AI processing chips, and many of its flagship enterprise designs are fitted with cutting-edge SK Hynix memory modules. Kim noted that his firm has many notable international clients: "HBM is a revolutionary product which has challenged the notion that semiconductor memory is only one part of an overall system...in particular, SK Hynix's HBM has outstanding competitiveness. Our advanced technology is highly sought after by global tech companies."

The VP outlined how artificial intelligence industries are fuelling innovations: "With the diversification and advancement of generative AI services, demand for HBM, an AI memory solution, has also exploded. HBM, with its high-performance and high-capacity characteristics, is a monumental product that shakes the conventional wisdom that memory semiconductors are only a part of the overall system. In particular, SK Hynix HBM's competitiveness is outstanding." Business is booming, so much so that nothing can be added to this year's HBM order books: "Proactively securing customer purchase volumes and negotiating more favorable conditions for our high-quality products are the basics of semiconductor sales operations. With excellent products in hand, it's a matter of speed. Our planned production volume of HBM this year has already sold out. Although 2024 has just begun, we've already started preparing for 2025 to stay ahead of the market."

US Commerce Secretary, Gina Raimondo, was a notable guest speaker during yesterday's Intel Foundry Direct Connect Keynote—she was invited on (via a video link) to discuss the matter of strengthening the nation's semiconductor industry, and staying competitive with global rivals. During discussions, Pat Gelsinger (Intel CEO) cheekily asked whether a "CHIPS Act Part Two" was in the pipeline. Raimondo responded by stating that she is till busy with the original $52 billion tranche: "I'm out of breath running as fast as I can implementing CHIPS One." Earlier this week, her department revealed a $1.5 billion planned direct fund for GlobalFoundries: "this investment will enable GF to expand and create new manufacturing capacity and capabilities to securely produce more essential chips for automotive, IoT, aerospace, defense, and other vital markets."

Intel is set to receive a large grant courtesy of the US government's 2022-launched CHIPS and Science Act—exact figures have not been revealed to the public, but a Nikkei Asia report suggests that Team Blue will be benefiting significantly in the near future: "While the Commerce Department has not yet announced how much of the funding package's $52 billion it would grant Intel, the American chipmaker is expected to get a significant portion, according to analysts and officials close to the situation." Raimondo stated that: "Intel is an American champion company and has a very huge role to play in this revitalization." The US Commerce Chief also revealed that she had spoken with artificial intelligence industry leaders, including OpenAI's Sam Altman, about the ever-growing demand for AI-crunching processors/accelerators/GPUs. The country's semiconductor production efforts could be bolstered once more, in order to preserve a competitive edge—Raimondo addressed Gelsinger's jokey request for another batch of subsidies: "I suspect there will have to be—whether you call it Chips Two or something else—continued investment if we want to lead the world...We fell pretty far. We took our eye off the ball."

Cadence's digital and custom/analog flows are certified on the Intel 18A process technology. Cadence design IP supports this node from Intel Foundry, and the corresponding process design kits (PDKs) are delivered to accelerate the development of a wide variety of low-power consumer, high-performance computing (HPC), AI and mobile computing designs. Customers can now begin using the production-ready Cadence design flows and design IP to achieve design goals and speed up time to market.

"Intel Foundry is very excited to expand our partnership with Cadence to enable key markets for the leading-edge Intel 18A process technology," said Rahul Goyal, Vice President and General Manager, Product and Design Ecosystem, Intel Foundry. "We will leverage Cadence's world-class portfolio of IP, AI design technologies, and advanced packaging solutions to enable high-volume, high-performance, and power-efficient SoCs in Intel Foundry's most advanced process technology. Cadence is an indispensable partner supporting our IDM2.0 strategy and the Intel Foundry ecosystem."

NVIDIA (NASDAQ: NVDA) today reported revenue for the fourth quarter ended January 28, 2024, of $22.1 billion, up 22% from the previous quarter and up 265% from a year ago. For the quarter, GAAP earnings per diluted share was $4.93, up 33% from the previous quarter and up 765% from a year ago. Non-GAAP earnings per diluted share was $5.16, up 28% from the previous quarter and up 486% from a year ago.

For fiscal 2024, revenue was up 126% to $60.9 billion. GAAP earnings per diluted share was $11.93, up 586% from a year ago. Non-GAAP earnings per diluted share was $12.96, up 288% from a year ago. "Accelerated computing and generative AI have hit the tipping point. Demand is surging worldwide across companies, industries and nations," said Jensen Huang, founder and CEO of NVIDIA.

Last year, Arm introduced its Neoverse Compute Subsystem (CSS) for the N2 and V2 series of data center processors, providing a reference platform for the development of efficient Arm-based chips. Major cloud service providers like AWS with Graviton 4 and Trainuium 2, Microsoft with Cobalt 100 and Maia 100, and even NVIDIA with Grace CPU and Bluefield DPUs are already utilizing custom Arm server CPU and accelerator designs based on the CSS foundation in their data centers. The CSS allows hyperscalers to optimize Arm processor designs specifically for their workloads, focusing on efficiency rather than outright performance. Today, Arm has unveiled the next generation CSS N3 and V3 for even greater efficiency and AI inferencing capabilities. The N3 design provides up to 32 high-efficiency cores per die with improved branch prediction and larger caches to boost AI performance by 196%, while the V3 design scales up to 64 cores and is 50% faster overall than previous generations.

Both the N3 and V3 leverage advanced features like DDR5, PCIe 5.0, CXL 3.0, and chiplet architecture, continuing Arm's push to make chiplets the standard for data center and cloud architectures. The chiplet approach enables customers to connect their own accelerators and other chiplets to the Arm cores via UCIe interfaces, reducing costs and time-to-market. Looking ahead, Arm has a clear roadmap for its Neoverse platform. The upcoming CSS V4 "Adonis" and N4 "Dionysus" designs will build on the improvements in the N3 and V3, advancing Arm's goal of greater efficiency and performance using optimized chiplet architectures. As more major data center operators introduce custom Arm-based designs, the Neoverse CSS aims to provide a flexible, efficient foundation to power the next generation of cloud computing.

Windows 11 version 23H2 started rolling out last October, but many users of Microsoft's flagship operating system opted out of an upgrade, thanks to a handy "optional" toggle. News outlets have latched onto a freshly published (February 20) Windows 11 "Release Health" notice—the official Microsoft dashboard alert states that Windows 11 2023 Update: "is now entering a new rollout phase." Fastidious users will not be happy to discover that "eligible Windows 11 devices" are now subject to an automatic bump up to version 23H2. Very passive-aggressive tactics have been utilized in the past—Microsoft is seemingly eager to get it audience upgraded onto its latest and greatest feature-rich experience.

According to NeoWin, an official announcement from last week alerted users to an "impending end of optional preview updates on Windows 11 22H2." Yesterday's "23H2" dashboard confessional provided a little bit more context—unsurprisingly involving artificial intelligence: "This automatic update targets Windows 11 devices that have reached or are approaching end of servicing, and it follows the machine learning-based (ML) training we have utilized so far. We will continue to train our intelligent ML model to safely roll out this new Windows version in phases to deliver a smooth update experience."

NVIDIA, in collaboration with Google, today launched optimizations across all NVIDIA AI platforms for Gemma—Google's state-of-the-art new lightweight 2 billion- and 7 billion-parameter open language models that can be run anywhere, reducing costs and speeding innovative work for domain-specific use cases.

Teams from the companies worked closely together to accelerate the performance of Gemma—built from the same research and technology used to create the Gemini models—with NVIDIA TensorRT-LLM, an open-source library for optimizing large language model inference, when running on NVIDIA GPUs in the data center, in the cloud and on PCs with NVIDIA RTX GPUs. This allows developers to target the installed base of over 100 million NVIDIA RTX GPUs available in high-performance AI PCs globally.