IDC, in a press release: A new forecast from IDC shows shipments of artificial intelligence (AI) PCs -- personal computers with specific system-on-a-chip (SoC) capabilities designed to run generative AI tasks locally -- growing from nearly 50 million units in 2024 to more than 167 million in 2027. By the end of the forecast, IDC expects AI PCs will represent nearly 60% of all PC shipments worldwide. [...] Until recently, running an AI task locally on a PC was done on the central processing unit (CPU), the graphics processing unit (GPU), or a combination of the two. However, this can have a negative impact on the PC's performance and battery life because these chips are not optimized to run AI efficiently. PC silicon vendors have now introduced AI-specific silicon to their SoCs called neural processing units (NPUs) that run these tasks more efficiently.

To date, IDC has identified three types of NPU-enabled AI PCs:
1. Hardware-enabled AI PCs include an NPU that offers less than 40 tera operations per second (TOPS) performance and typically enables specific AI features within apps to run locally. Qualcomm, Apple, AMD, and Intel are all shipping chips in this category today.

2. Next-generation AI PCs include an NPU with 40 to 60 TOPS performance and an AI-first operating system (OS) that enables persistent and pervasive AI capabilities in the OS and apps. Qualcomm, AMD, and Intel have all announced future chips for this category, with delivery expected to begin in 2024. Microsoft is expected to roll out major updates (and updated system specifications) to Windows 11 to take advantage of these high-TOPS NPUs.

3. Advanced AI PCs are PCs that offer more than 60 TOPS of NPU performance. While no silicon vendors have announced such products, IDC expects them to appear in the coming years. This IDC forecast does not include advanced AI PCs, but they will be incorporated into future updates. Michael Dell, commenting on X: This is correct and might be underestimating it. AI PCs are coming fast and Dell is ready.

It's "a free and open-source, software-defined storage platform," according to Wikipedia, providing object storage, block storage, and file storage "built on a common distributed cluster foundation". The charter advisory board for Ceph included people from Canonical, CERN, Cisco, Fujitsu, Intel, Red Hat, SanDisk, and SUSE.

And Nite_Hawk (Slashdot reader #1,304) is one of its core engineers — a former Red Hat principal software engineer named Mark Nelson. (He's now leading R&D for a small cloud systems company called Clyso that provides Ceph consulting.) And he's returned to Slashdot to share a blog post describing "a journey to 1 TiB/s". This gnarly tale-from-Production starts while assisting Clyso with "a fairly hip and cutting edge company that wanted to transition their HDD-backed Ceph cluster to a 10 petabyte NVMe deployment" using object-based storage devices [or OSDs]...) I can't believe they figured it out first. That was the thought going through my head back in mid-December after several weeks of 12-hour days debugging why this cluster was slow... Half-forgotten superstitions from the 90s about appeasing SCSI gods flitted through my consciousness...

Ultimately they decided to go with a Dell architecture we designed, which quoted at roughly 13% cheaper than the original configuration despite having several key advantages. The new configuration has less memory per OSD (still comfortably 12GiB each), but faster memory throughput. It also provides more aggregate CPU resources, significantly more aggregate network throughput, a simpler single-socket configuration, and utilizes the newest generation of AMD processors and DDR5 RAM. By employing smaller nodes, we halved the impact of a node failure on cluster recovery....

The initial single-OSD test looked fantastic for large reads and writes and showed nearly the same throughput we saw when running FIO tests directly against the drives. As soon as we ran the 8-OSD test, however, we observed a performance drop. Subsequent single-OSD tests continued to perform poorly until several hours later when they recovered. So long as a multi-OSD test was not introduced, performance remained high. Confusingly, we were unable to invoke the same behavior when running FIO tests directly against the drives. Just as confusing, we saw that during the 8 OSD test, a single OSD would use significantly more CPU than the others. A wallclock profile of the OSD under load showed significant time spent in io_submit, which is what we typically see when the kernel starts blocking because a drive's queue becomes full...

For over a week, we looked at everything from bios settings, NVMe multipath, low-level NVMe debugging, changing kernel/Ubuntu versions, and checking every single kernel, OS, and Ceph setting we could think of. None these things fully resolved the issue. We even performed blktrace and iowatcher analysis during "good" and "bad" single OSD tests, and could directly observe the slow IO completion behavior. At this point, we started getting the hardware vendors involved. Ultimately it turned out to be unnecessary. There was one minor, and two major fixes that got things back on track.
It's a long blog post, but here's where it ends up:

• Fix One: "Ceph is incredibly sensitive to latency introduced by CPU c-state transitions. A quick check of the bios on these nodes showed that they weren't running in maximum performance mode which disables c-states."

• Fix Two: [A very clever engineer working for the customer] "ran a perf profile during a bad run and made a very astute discovery: A huge amount of time is spent in the kernel contending on a spin lock while updating the IOMMU mappings. He disabled IOMMU in the kernel and immediately saw a huge increase in performance during the 8-node tests." In a comment below, Nelson adds that "We've never seen the IOMMU issue before with Ceph... I'm hoping we can work with the vendors to understand better what's going on and get it fixed without having to completely disable IOMMU."

• Fix Three: "We were not, in fact, building RocksDB with the correct compile flags... It turns out that Canonical fixed this for their own builds as did Gentoo after seeing the note I wrote in do_cmake.sh over 6 years ago... With the issue understood, we built custom 17.2.7 packages with a fix in place. Compaction time dropped by around 3X and 4K random write performance doubled."

The story has a happy ending, with performance testing eventually showing data being read at 635 GiB/s — and a colleague daring them to attempt 1 TiB/s. They built a new testing configuration targeting 63 nodes — achieving 950GiB/s — then tried some more performance optimizations...

An anonymous reader quotes a report from Wired: As more companies ramp up development of artificial intelligence systems, they are increasingly turning to graphics processing unit (GPU) chips for the computing power they need to run large language models (LLMs) and to crunch data quickly at massive scale. Between video game processing and AI, demand for GPUs has never been higher, and chipmakers are rushing to bolster supply. In new findings released today, though, researchers are highlighting a vulnerability in multiple brands and models of mainstream GPUs -- including Apple, Qualcomm, and AMD chips -- that could allow an attacker to steal large quantities of data from a GPU's memory. The silicon industry has spent years refining the security of central processing units, or CPUs, so they don't leak data in memory even when they are built to optimize for speed. However, since GPUs were designed for raw graphics processing power, they haven't been architected to the same degree with data privacy as a priority. As generative AI and other machine learning applications expand the uses of these chips, though, researchers from New York -- based security firm Trail of Bits say that vulnerabilities in GPUs are an increasingly urgent concern. "There is a broader security concern about these GPUs not being as secure as they should be and leaking a significant amount of data," Heidy Khlaaf, Trail of Bits' engineering director for AI and machine learning assurance, tells WIRED. "We're looking at anywhere from 5 megabytes to 180 megabytes. In the CPU world, even a bit is too much to reveal."

To exploit the vulnerability, which the researchers call LeftoverLocals, attackers would need to already have established some amount of operating system access on a target's device. Modern computers and servers are specifically designed to silo data so multiple users can share the same processing resources without being able to access each others' data. But a LeftoverLocals attack breaks down these walls. Exploiting the vulnerability would allow a hacker to exfiltrate data they shouldn't be able to access from the local memory of vulnerable GPUs, exposing whatever data happens to be there for the taking, which could include queries and responses generated by LLMs as well as the weights driving the response. In their proof of concept, as seen in the GIF below, the researchers demonstrate an attack where a target -- shown on the left -- asks the open source LLM Llama.cpp to provide details about WIRED magazine. Within seconds, the attacker's device -- shown on the right -- collects the majority of the response provided by the LLM by carrying out a LeftoverLocals attack on vulnerable GPU memory. The attack program the researchers created uses less than 10 lines of code. [...] Though exploiting the vulnerability would require some amount of existing access to targets' devices, the potential implications are significant given that it is common for highly motivated attackers to carry out hacks by chaining multiple vulnerabilities together. Furthermore, establishing "initial access" to a device is already necessary for many common types of digital attacks. The researchers did not find evidence that Nvidia, Intel, or Arm GPUs contain the LeftoverLocals vulnerability, but Apple, Qualcomm, and AMD all confirmed to WIRED that they are impacted. Here's what each of the affected companies had to say about the vulnerability, as reported by Wired:

Apple: An Apple spokesperson acknowledged LeftoverLocals and noted that the company shipped fixes with its latest M3 and A17 processors, which it unveiled at the end of 2023. This means that the vulnerability is seemingly still present in millions of existing iPhones, iPads, and MacBooks that depend on previous generations of Apple silicon. On January 10, the Trail of Bits researchers retested the vulnerability on a number of Apple devices. They found that Apple's M2 MacBook Air was still vulnerable, but the iPad Air 3rd generation A12 appeared to have been patched.
Qualcomm: A Qualcomm spokesperson told WIRED that the company is "in the process" of providing security updates to its customers, adding, "We encourage end users to apply security updates as they become available from their device makers." The Trail of Bits researchers say Qualcomm confirmed it has released firmware patches for the vulnerability.
AMD: AMD released a security advisory on Wednesday detailing its plans to offer fixes for LeftoverLocals. The protections will be "optional mitigations" released in March.
Google: For its part, Google says in a statement that it "is aware of this vulnerability impacting AMD, Apple, and Qualcomm GPUs. Google has released fixes for ChromeOS devices with impacted AMD and Qualcomm GPUs."

PC and microchip companies struggling to get consumers to replace pandemic-era laptops offered a new feature to crowds this week at CES: AI. From a report: PC and chipmakers including AMD and Intel are betting that the so-called "neural processing units" now found in the latest chip designs will encourage consumers to once again pay for higher-end laptops. Adding additional AI capabilities could help take market share from Apple. "The conversations I'm having with customers are about 'how do I get my PC ready for what I think is coming in AI and going to be able to deliver,'" said Sam Burd, Dell Technologies' president of its PC business. Chipmakers built the NPU blocks because they can achieve a high level of performance for AI functions with relatively modest power needs. Today there are few applications that might take full advantage of the new capabilities, but more are coming, said David McAfee, corporate vice president and general manager of the client channel business at AMD.

Among the few applications that can take advantage of such chips is the creative suite of software produced by Adobe. Intel hosted an "open house" where a handful of PC vendors showed off their latest laptops with demos designed to put the new capabilities on display. Machines from the likes of Dell and Lenovo were arrayed inside one of the cavernous ballrooms at the Venetian Convention Center on Las Vegas Boulevard.

Michael Larabel reports via Phoronix: AMD engineers are proposing an FPGA Subsystem User-Space Interface to overcome current limitations of the Linux kernel's FPGA manager subsystem. AMD-Xilinx engineers are proposing a new sysfs interface for the FPGA subsystem that allows for more user-space control over FPGAs. The suggested interface would handle FPGA configuration, driver probe/remove, bridges, Device Tree Overlay file support for re-programming an FPGA while the operating system is running, and other capabilities for user-space not currently presented by the mainline kernel. [...] This proposal from AMD hopes to standardize the FPGA subsystem user-space interface in a manner that is suitable for upstreaming into the mainline Linux kernel.

Melbourne-based developer xssfox has championed a unique "diagonal mode" for monitors by utilizing Linux's xrandr (x resize and rotate) tool, finding a 22-degree tilt to the left to be the ideal angle for software development on her 32:9 aspect ratio monitor. As Tom's Hardware notes, Linux is the "only OS to support a diagonal monitor mode, which you can customize to any tilt of your liking." It begs the question, could 2024 be the year of the Linux diagonal desktop? From the report: Xssfox devised a consistent method to appraise various screen rotations, working through the staid old landscape and portrait modes, before deploying xrandr to test rotations like the slightly skewed 1 degree and an indecisive 45 degrees. These produced mixed results of questionable benefits, so the search for the Goldilocks solution continued. It turns out that a 22-degree tilt to the left was the sweet spot for xssfox. This rotation delivered the best working screen space on what looks like a 32:9 aspect ratio monitor from Dell. "So this here, I think, is the best monitor orientation for software development," the developer commented. "It provides the longest line lengths and no longer need to worry about that pesky 80-column limit."

If you have a monitor with the same aspect ratio, the 22-degree angle might work well for you, too. However, people with other non-conventional monitor rotation needs can use xssfox's javascript calculator to generate the xrandr command for given inputs. People who own the almost perfectly square LG DualUp 28MQ780 might be tempted to try 'diamond mode,' for example. We note that Windows users with AMD and Nvidia drivers are currently shackled to applying screen rotations using 90-degree steps. MacOS users apparently face the same restrictions.

An anonymous reader quotes a report from Tom's Hardware: The 12VO power standard (PDF), developed by Intel, is designed to reduce the number of power cables needed to power a modern PC, ultimately reducing cost. While industry uptake of the standard has been slow, a new slew of products from MSI indicates that 12VO is gaining traction.

MSI is gearing up with two 12VO-compliant motherboards, covering both Intel and AMD platforms, and a 12VO Power Supply that it's releasing simultaneously: The Pro B650 12VO WiFi, Pro H610M 12VO, and MSI 12VO PSU power supply are all 'coming soon,' which presumably means they'll officially launch at CES 2024. HardwareLux got a pretty good look at MSI's offerings during its EHA (European Hardware Awards) tech tour, including the 'Project Zero' we covered earlier. One of the noticeable changes is the absence of a 24-pin ATX connector, as the ATX12VO connectors use only ten-pin connectors. The publications also saw a 12VO-compliant FSP power supply in a compact system with a thick graphics card.

A couple of years ago, we reported on FSP 650-watt and 750-watt SFX 12VO power supply. Apart from that, there is a 1x 6-pin ATX12VO termed 'extra board connector' according to its manual and a 1x 8-pin 12V power connector for the CPU. There are two smaller 4-pin connectors that will provide the 5V power needed for SATA drives. It is likely each of these connectors provides power to two SATA-based drives. Intel proposed the ATX12VO standard several years ago, but adoption has been slow until now. This standard is designed to provide 12v exclusively, completely removing a direct 3.3v and 5v supply. The success of the new standard will depend on the wide availability of the motherboard and power supplies.

Velcroman1 writes: Intel's new generation of "Meteor Lake" mobile CPUs herald a new age of "AI PCs," computers that can handle inference workloads such as generating images or transcribing audio without an Internet connection. Officially named "Intel Core Ultra" processors, the chips are the first to feature an NPU (neural processing unit) that's purpose-built to handle AI tasks. But there are few ways to actually test this feature at present: software will need to be rewritten to specifically direct operations at the NPU.

Intel has steered testers toward its Open Visual Inference and Neural Network Optimization (OpenVINO) AI toolkit. With those benchmarks, Tom's Hardware tested the new Intel chips against AMD -- and surprisingly, AMD chips often came out on top, even on these hand-selected benchmarks. Clearly, optimization will take some time!

Intel unveiled new computer chips on Thursday, including Gaudi3, an AI chip for generative AI software. Gaudi3 will launch next year and will compete with rival chips from Nvidia and AMD that power big and power-hungry AI models. From a report: The most prominent AI models, like OpenAI's ChatGPT, run on Nvidia GPUs in the cloud. It's one reason Nvidia stock has been up nearly 230% year-to-date while Intel shares are up 68%. And it's why companies like AMD and, now Intel, have announced chips that they hope will attract AI companies away from Nvidia's dominant position in the market.

While the company was light on details, Gaudi3 will compete with Nvidia's H100, the main choice among companies that build huge farms of the chips to power AI applications, and AMD's forthcoming MI300X, when it starts shipping to customers in 2024. Intel has been building Gaudi chips since 2019, when it bought a chip developer called Habana Labs.

Overclocking AMD's Ryzen Threadripper 7000 series blows a fuse, indicating modification. However, AMD has told Tom's Hardware that this does not automatically invalidate the warranty of these top-tier workstation CPUs. From the report: "Threadripper 7000 Series processors do contain a fuse that is blown when overclocking is enabled. To be clear, blowing this fuse does not void your warranty. Statements that enabling an overclocking/overvolting feature will 'void' the processor warranty are not correct. Per AMD's standard Terms of Sale, the warranty excludes any damage that results from overclocking/overvolting the processor. However, other unrelated issues could still qualify for warranty repair/replacement," an AMD representative told Tom's Hardware.

In summation, overclocking your Ryzen Threadripper Pro 7000 or non-Pro processor will not void the warranty -- only damages directly resulting from overclocking will. As always, AMD isn't against overclocking. If it was, the chipmaker wouldn't advertise overclocking support as one of the features of the WRX90 and TRX50 platforms. Only OEM systems lack overclocking support.

Meta, OpenAI, and Microsoft said at an AMD investor event today that they will use AMD's newest AI chip, the Instinct MI300X, as an alternative to Nvidia's expensive graphic processors. "If AMD's latest high-end chip is good enough for the technology companies and cloud service providers building and serving AI models when it starts shipping early next year, it could lower costs for developing AI models and put competitive pressure on Nvidia's surging AI chip sales growth," reports CNBC. From the report: "All of the interest is in big iron and big GPUs for the cloud," AMD CEO Lisa Su said Wednesday. AMD says the MI300X is based on a new architecture, which often leads to significant performance gains. Its most distinctive feature is that it has 192GB of a cutting-edge, high-performance type of memory known as HBM3, which transfers data faster and can fit larger AI models. Su directly compared the MI300X and the systems built with it to Nvidia's main AI GPU, the H100. "What this performance does is it just directly translates into a better user experience," Su said. "When you ask a model something, you'd like it to come back faster, especially as responses get more complicated."

The main question facing AMD is whether companies that have been building on Nvidia will invest the time and money to add another GPU supplier. "It takes work to adopt AMD," Su said. AMD on Wednesday told investors and partners that it had improved its software suite called ROCm to compete with Nvidia's industry standard CUDA software, addressing a key shortcoming that had been one of the primary reasons AI developers currently prefer Nvidia. Price will also be important. AMD didn't reveal pricing for the MI300X on Wednesday, but Nvidia's can cost around $40,000 for one chip, and Su told reporters that AMD's chip would have to cost less to purchase and operate than Nvidia's in order to persuade customers to buy it.

On Wednesday, AMD said it had already signed up some of the companies most hungry for GPUs to use the chip. Meta and Microsoft were the two largest purchasers of Nvidia H100 GPUs in 2023, according to a recent report from research firm Omidia. Meta said it will use MI300X GPUs for AI inference workloads such as processing AI stickers, image editing, and operating its assistant. Microsoft's CTO, Kevin Scott, said the company would offer access to MI300X chips through its Azure web service. Oracle's cloud will also use the chips. OpenAI said it would support AMD GPUs in one of its software products, called Triton, which isn't a big large language model like GPT but is used in AI research to access chip features.

"Researchers have identified a large number of bugs to do with the processing of images at boot time," writes longtime Slashdot reader jd. "This allows malicious code to be installed undetectably (since the image doesn't have to pass any validation checks) by appending it to the image. None of the current secure boot mechanisms are capable of blocking the attack." Ars Technica reports: LogoFAIL is a constellation of two dozen newly discovered vulnerabilities that have lurked for years, if not decades, in Unified Extensible Firmware Interfaces responsible for booting modern devices that run Windows or Linux. The vulnerabilities are the product of almost a year's worth of work by Binarly, a firm that helps customers identify and secure vulnerable firmware. The vulnerabilities are the subject of a coordinated mass disclosure released Wednesday. The participating companies comprise nearly the entirety of the x64 and ARM CPU ecosystem, starting with UEFI suppliers AMI, Insyde, and Phoenix (sometimes still called IBVs or independent BIOS vendors); device manufacturers such as Lenovo, Dell, and HP; and the makers of the CPUs that go inside the devices, usually Intel, AMD or designers of ARM CPUs. The researchers unveiled the attack on Wednesday at the Black Hat Security Conference in London.

As its name suggests, LogoFAIL involves logos, specifically those of the hardware seller that are displayed on the device screen early in the boot process, while the UEFI is still running. Image parsers in UEFIs from all three major IBVs are riddled with roughly a dozen critical vulnerabilities that have gone unnoticed until now. By replacing the legitimate logo images with identical-looking ones that have been specially crafted to exploit these bugs, LogoFAIL makes it possible to execute malicious code at the most sensitive stage of the boot process, which is known as DXE, short for Driver Execution Environment. "Once arbitrary code execution is achieved during the DXE phase, it's game over for platform security," researchers from Binarly, the security firm that discovered the vulnerabilities, wrote in a whitepaper. "From this stage, we have full control over the memory and the disk of the target device, thus including the operating system that will be started." From there, LogoFAIL can deliver a second-stage payload that drops an executable onto the hard drive before the main OS has even started. The following video demonstrates a proof-of-concept exploit created by the researchers. The infected device -- a Gen 2 Lenovo ThinkCentre M70s running an 11th-Gen Intel Core with a UEFI released in June -- runs standard firmware defenses, including Secure Boot and Intel Boot Guard. LogoFAIL vulnerabilities are tracked under the following designations: CVE-2023-5058, CVE-2023-39538, CVE-2023-39539, and CVE-2023-40238. However, this list is currently incomplete.

"A non-exhaustive list of companies releasing advisories includes AMI (PDF), Insyde, Phoenix, and Lenovo," reports Ars. "People who want to know if a specific device is vulnerable should check with the manufacturer."

"The best way to prevent LogoFAIL attacks is to install the UEFI security updates that are being released as part of Wednesday's coordinated disclosure process. Those patches will be distributed by the manufacturer of the device or the motherboard running inside the device. It's also a good idea, when possible, to configure UEFIs to use multiple layers of defenses. Besides Secure Boot, this includes both Intel Boot Guard and, when available, Intel BIOS Guard. There are similar additional defenses available for devices running AMD or ARM CPUs."

Aaron Klotz, reporting for Tom's Hardware: Intel recently published a new playbook titled "Core Truths" that put AMD under direct fire for utilizing its older Zen 2 CPU architecture in its latest Ryzen 7000 mobile series CPU product stack. Intel later removed the document, but we have the slides below. The playbook is designed to educate customers about AMD's product stack and even calls it "snake oil."

Intel's playbook specifically talks about AMD's latest Ryzen 5 7520U, criticizing the fact it features AMD's Zen 2 architecture from 2019 even though it sports a Ryzen 7000 series model name. Further on in the playbook, the company accuses AMD of selling "half-truths" to unsuspecting customers, stressing that the future of younger kid's education needs the best CPU performance from the latest and greatest CPU technologies made today. To make its point clear, Intel used images in its playbook referencing "snake oil" and images of used car salesmen.

The playbook also criticizes AMD's new naming scheme for its Ryzen 7000 series mobile products, quoting ArsTechnica: "As a consumer, you're still intended to see the number 7 and think, 'Oh, this is new.'" Intel also published CPU benchmark comparisons of the 7520U against its 13th Gen Core i5-1335U to back up its points. Unsurprisingly, the 1335U was substantially faster than the Zen 2 counterpart.

"As of this year, all new Mac computers are powered by Apple's own silicon, ending the company's 15-plus years of reliance on Intel," according to a new report from CNBC.

"Apple's silicon team has grown to thousands of engineers working across labs all over the world, including in Israel, Germany, Austria, the U.K. and Japan. Within the U.S., the company has facilities in Silicon Valley, San Diego and Austin, Texas..." The latest A17 Pro announced in the iPhone 15 Pro and Pro Max in September enables major leaps in features like computational photography and advanced rendering for gaming. "It was actually the biggest redesign in GPU architecture and Apple silicon history," said Kaiann Drance, who leads marketing for the iPhone. "We have hardware accelerated ray tracing for the first time. And we have mesh shading acceleration, which allows game developers to create some really stunning visual effects." That's led to the development of iPhone-native versions from Ubisoft's Assassin's Creed Mirage, The Division Resurgence and Capcom's Resident Evil 4.

Apple says the A17 Pro is the first 3-nanometer chip to ship at high volume. "The reason we use 3-nanometer is it gives us the ability to pack more transistors in a given dimension. That is important for the product and much better power efficiency," said the head of Apple silicon, Johny Srouji . "Even though we're not a chip company, we are leading the industry for a reason." Apple's leap to 3-nanometer continued with the M3 chips for Mac computers, announced in October. Apple says the M3 enables features like 22-hour battery life and, similar to the A17 Pro, boosted graphics performance...

In a major shift for the semiconductor industry, Apple turned away from using Intel's PC processors in 2020, switching to its own M1 chip inside the MacBook Air and other Macs. "It was almost like the laws of physics had changed," Ternus said. "All of a sudden we could build a MacBook Air that's incredibly thin and light, has no fan, 18 hours of battery life, and outperformed the MacBook Pro that we had just been shipping." He said the newest MacBook Pro with Apple's most advanced chip, the M3 Max, "is 11 times faster than the fastest Intel MacBook Pro we were making. And we were shipping that just two years ago." Intel processors are based on x86 architecture, the traditional choice for PC makers, with a lot of software developed for it. Apple bases its processors on rival Arm architecture, known for using less power and helping laptop batteries last longer.

Apple's M1 in 2020 was a proving point for Arm-based processors in high-end computers, with other big names like Qualcomm — and reportedly AMD and Nvidia — also developing Arm-based PC processors. In September, Apple extended its deal with Arm through at least 2040.
Since Apple first debuted its homegrown semiconductors in 2010 in the iPhone 4, other companies started pursuing their own custom semiconductor development, including Amazon, Google, Microsoft and Tesla.

CNBC reports that Apple is also reportedly working on its own Wi-Fi and Bluetooth chip. Apple's Srouji wouldn't comment on "future technologies and products" but told CNBC "we care about cellular, and we have teams enabling that."

An anonymous reader shares a report: Earlier this year, the National Supercomputing Center in Wuxi (an entity blacklisted in the U.S.) launched its new supercomputer based on the enhanced China-designed Sunway SW26010 Pro processors with 384 cores. Sunway's SW26010 Pro CPU not only packs more cores than its non-Pro SW26010 predecessor, but it more than quadrupled FP64 compute throughput due to microarchitectural and system architecture improvements, according to Chips and Cheese. However, while the manycore CPU is good on paper, it has several performance bottlenecks.

The first details of the manycore Sunway SW26010 Pro CPU and supercomputers that use it emerged back in 2021. Now, the company has showcased actual processors and disclosed more details about their architecture and design, which represent a significant leap in performance, recently at SC23. The new CPU is expected to enable China to build high-performance supercomputers based entirely on domestically developed processors. Each Sunway SW26010 Pro has a maximum FP64 throughput of 13.8 TFLOPS, which is massive. For comparison, AMD's 96-core EPYC 9654 has a peak FP64 performance of around 5.4 TFLOPS.

The SW26010 Pro is an evolution of the original SW26010, so it maintains the foundational architecture of its predecessor but introduces several key enhancements. The new SW26010 Pro processor is based on an all-new proprietary 64-bit RISC architecture and packs six core groups (CG) and a protocol processing unit (PPU). Each CG integrates 64 2-wide compute processing elements (CPEs) featuring a 512-bit vector engine as well as 256 KB of fast local store (scratchpad cache) for data and 16 KB for instructions; one management processing element (MPE), which is a superscalar out-of-order core with a vector engine, 32 KB/32 KB L1 instruction/data cache, 256 KB L2 cache; and a 128-bit DDR4-3200 memory interface.

Nvidia's fiscal third-quarter results surpassed Wall Street's predictions, with revenue growing 206% year over year. However, Nvidia shares are down after the company called for a negative impact in the next quarter due to export restrictions affecting sales in China and other countries. CNBC reports: Nvidia's revenue grew 206% year over year during the quarter ending Oct. 29, according to a statement. Net income, at $9.24 billion, or $3.71 per share, was up from $680 million, or 27 cents per share, in the same quarter a year ago. The company's data center revenue totaled $14.51 billion, up 279% and more than the StreetAccount consensus of $12.97 billion. Half of the data center revenue came from cloud infrastructure providers such as Amazon, and the other from consumer internet entities and large companies, Nvidia said. Healthy uptake came from clouds that specialize in renting out GPUs to clients, Kress said on the call.

The gaming segment contributed $2.86 billion, up 81% and higher than the $2.68 billion StreetAccount consensus. With respect to guidance, Nvidia called for $20 billion in revenue for the fiscal fourth quarter. That implies nearly 231% revenue growth. [...] Nvidia faces obstacles, including competition from AMD and lower revenue because of export restrictions that can limit sales of its GPUs in China. But ahead of Tuesday report, some analysts were nevertheless optimistic.

This week the Microsoft Security Response Center celebrated the 20th anniversary of Patch Tuesday updates.

In a blog post they call the updates "an initiative that has become a cornerstone of the IT world's approach to cybersecurity." Originating from the Trustworthy Computing memo by Bill Gates in 2002, our unwavering commitment to protecting customers continues to this day and is reflected in Microsoft's Secure Future Initiative announced this month. Each month, we deliver security updates on the second Tuesday, underscoring our pledge to cyber defense. As we commemorate this milestone, it's worth exploring the inception of Patch Tuesday and its evolution through the years, demonstrating our adaptability to new technology and emerging cyber threats...

Before this unified approach, our security updates were sporadic, posing significant challenges for IT professionals and organizations in deploying critical patches in a timely manner. Senior leaders of the Microsoft Security Response Center (MSRC) at the time spearheaded the idea of a predictable schedule for patch releases, shifting from a "ship when ready" model to a regular weekly, and eventually, monthly cadence...

This led to a shift from a "ship when ready" model to a regular weekly, and eventually, monthly cadence. In addition to consolidating patch releases into a monthly schedule, we also organized the security update release notes into a consolidated location. Prior to this change, customers had to navigate through various Knowledge Base articles, making it difficult to find the information they needed to secure themselves. Recognizing the need for clarity and convenience, we provided a comprehensive overview of monthly releases. This change was pivotal at a time when not all updates were delivered through Windows Update, and customers needed a reliable source to find essential updates for various products.

Patch Tuesday has also influenced other vendors in the software and hardware spaces, leading to a broader industry-wide practice of synchronized security updates. This collaborative approach, especially with hardware vendors such as AMD and Intel, aims to provide a united front against vulnerabilities, enhancing the overall security posture of our ecosystems. While the volume and complexity of updates have increased, so has the collaboration with the security community. Patch Tuesday has fostered better relationships with security researchers, leading to more responsible vulnerability disclosures and quicker responses to emerging threats...

As the landscape of security threats evolves, so does our strategy, but our core mission of safeguarding our customers remains unchanged.

The Top500 organization released its semi-annual list of the fastest supercomputers in the world, with the AMD-powered Frontier supercomputer retaining its spot at the top of the list with 1.194 Exaflop/s (EFlop/s) of performance, fending off a half-scale 585.34 Petaflop/s (PFlop/s) submission from the Argonne National Laboratory's Intel-powered Aurora supercomputer. From a report: Argonne's submission, which only employs half of the Aurora system, lands at the second spot on the Top500, unseating Japan's Fugaku as the second-fastest supercomputer in the world. Intel also made inroads with 20 new supercomputers based on its Sapphire Rapids CPUs entering the list, but AMD's EPYC continues to take over the Top500 as it now powers 140 systems on the list -- a 39% year-over-year increase.

Intel and Argonne are currently still working to bring Arora fully online for users in 2024. As such, the Aurora submission represented 10,624 Intel CPUs and 31,874 Intel GPUs working in concert to deliver 585.34 PFlop/s at a total of 24.69 megawatts (MW) of energy. In contrast, AMD's Frontier holds the performance title at 1.194 EFlop/s, which is more than twice the performance of Aurora, while consuming a comparably miserly 22.70 MW of energy (yes, that's less power for the full Frontier supercomputer than half of the Aurora system). Aurora did not land on the Green500, a list of the most power-efficient supercomputers, with this submission, but Frontier continues to hold eighth place on that list. However, Aurora is expected to eventually reach up to 2 EFlop/s of performance when it comes fully online. When complete, Auroroa will have 21,248 Xeon Max CPUs and 63,744 Max Series 'Ponte Vecchio' GPUs spread across 166 racks and 10,624 compute blades, making it the largest known single deployment of GPUs in the world. The system leverages HPE Cray EX â" Intel Exascale Compute Blades and uses HPE's Slingshot-11 networking interconnect.

Nvidia, the world's most valuable chipmaker, is updating its H100 artificial intelligence processor, adding more capabilities to a product that has fueled its dominance in the AI computing market. From a report: The new model, called the H200, will get the ability to use high-bandwidth memory, or HBM3e, allowing it to better cope with the large data sets needed for developing and implementing AI, Nvidia said Monday. Amazon's AWS, Alphabet's Google Cloud and Oracle's Cloud Infrastructure have all committed to using the new chip starting next year.

The current version of the Nvidia processor -- known as an AI accelerator -- is already in famously high demand. It's a prized commodity among technology heavyweights like Larry Ellison and Elon Musk, who boast about their ability to get their hands on the chip. But the product is facing more competition: AMD is bringing its rival MI300 chip to market in the fourth quarter, and Intel claims that its Gaudi 2 model is faster than the H100. With the new product, Nvidia is trying to keep up with the size of data sets used to create AI models and services, it said. Adding the enhanced memory capability will make the H200 much faster at bombarding software with data -- a process that trains AI to perform tasks such as recognizing images and speech.

A a report from TechSpot says AMD has recently increased its market share in the CPU sector for desktops, laptops, and servers: According to Mercury Research (via Tom's Hardware), AMD gained 5.8% unit share in desktops, 3.8% in laptops, and 5.8% in servers. In terms of revenue share, Team Red gained 4.1% in desktops, 5.1% in laptops, and 1.7% in servers. The report does not mention competitors by name, but the global PC industry only has one other major CPU supplier, Intel, which has a major stake in all the market segments.

While Intel and AMD make x86 processors for PCs, Qualcomm offers Arm-based SoCs for Windows notebooks, but its market share is minuscule by comparison. So, while the report doesn't say anything about the market share of Intel or Qualcomm, it is fair to assume that most of AMD's gains came at Intel's expense.
Thanks to Slashdot reader jjslash for sharing the news.