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MediaTek Announces Dimensity 9400 Flagship SoC with All Big Core Design

MediaTek today launched the Dimensity 9400, the company's new flagship smartphone chipset optimized for edge-AI applications, immersive gaming, incredible photography, and more. The Dimensity 9400, the fourth and latest in MediaTek's flagship mobile SoC lineup, offers a massive boost in performance with its second-generation All Big Core design built on Arm's v9.2 CPU architecture, combined with the most advanced GPU and NPU for extreme performance in a super power-efficient design.

The Dimensity 9400 adopts MediaTek's second-gen All Big Core design, integrating one Arm Cortex-X925 core operating over 3.62 GHz, combined with 3x Cortex-X4 and 4x Cortex-A720 cores. This design offers 35% faster single-core performance and 28% faster multi-core performance compared to MediaTek's previous generation flagship chipset, the Dimensity 9300. Built on TSMC's second-generation 3 nm process, the Dimensity 9400 is up to 40% more power-efficient than its predecessor, allowing users to enjoy longer battery life.

Thundercomm Launches RUBIK Pi on Qualcomm Platforms

At an industry event in Austin today, Thundercomm announces RUBIK Pi, the first Pi built on Qualcomm SoC platforms for developers. RUBIK Pi is an innovative tool that aims to lower the barriers application development with AI inference, allowing developers to access high-performance, easy-to-deploy AI R&D tools.

The Pi product is a must-have for electronics enthusiasts and developers. It can be seen as a microcomputer, integrating a processor, memory, storage, and various interfaces on a credit card-sized board. Thundercomm, a world-leading IoT product and solution provider, building on its expertise in ICT technologies and developer workflows, launched RUBIK Pi, aiming to create the most user-friendly AI R&D tools.

AMD to Become Major Customer of TSMC Arizona Facility with High-Performance Designs

After Apple, we just learned that AMD is the next company in line for US-based manufacturing in the TSMC Arizona facility. Industry analyst Tim Culpan reports that TSMC's Fab 21 in Arizona will soon be producing AMD's high-performance computing (HPC) processors, with tape out and manufacturing expected to commence on TSMC's 5 nm node next year. This move comes after previously reported Apple's A16 SoC production, which is already in progress at the facility and could see shipments before the end of this year, significantly ahead of the initially projected early 2025 schedule. The production of AMD's HPC chips in Arizona marks a crucial step towards establishing an AI-hardware supply chain operating entirely on American soil, which is expected to further expand with Intel Foundry and Samsung Texas facility.

Making HPC processors domestically serves as a significant milestone in reducing dependence on overseas semiconductor manufacturing and strengthening the US's position in the global chip industry. Adding to the momentum, TSMC and Amkor recently announced a collaboration on advanced packaging technologies, including Integrated Fan-Out (InFO) and Chip-on-Wafer-on-Substrate (CoWoS), which are vital for high-performance AI chips. However, as Amkor facilities are yet to be built, these chips are going to be shipped back to Taiwan for packaging before being integrated into the final product. Once the Amkor facility is up and running, Arizona will become the birthplace of fully manufactured and packaged silicon chips.

AMD Granite Ridge "Zen 5" Processor Annotated

High-resolution die-shots of the AMD "Zen 5" 8-core CCD were released and annotated by Nemez, Fitzchens Fitz, and HighYieldYT. These provide a detailed view of how the silicon and its various components appear, particularly the new "Zen 5" CPU core with its 512-bit FPU. The "Granite Ridge" package looks similar to "Raphael," with up to two 8-core CPU complex dies (CCDs) depending on the processor model, and a centrally located client I/O die (cIOD). This cIOD is carried over from "Raphael," which minimizes product development costs for AMD at least for the uncore portion of the processor. The "Zen 5" CCD is built on the TSMC N4P (4 nm) foundry node.

The "Granite Ridge" package sees the up to two "Zen 5" CCDs snuck up closer to each other than the "Zen 4" CCDs on "Raphael." In the picture above, you can see the pad of the absent CCD behind the solder mask of the fiberglass substrate, close to the present CCD. The CCD contains 8 full-sized "Zen 5" CPU cores, each with 1 MB of L2 cache, and a centrally located 32 MB L3 cache that's shared among all eight cores. The only other components are an SMU (system management unit), and the Infinity Fabric over Package (IFoP) PHYs, which connect the CCD to the cIOD.

Qualcomm Snapdragon X2 Surfaces in Testing, Codenamed "Project Glymur"

Qualcomm debuted its Snapdragon X Elite/Plus series of laptop processors a few months ago, and the company is already testing the next-generation Snapdragon X2 series. Interestingly, the new "SC8480XP" SoC is carrying a codename "project Glymur." Up until now, Qualcomm has exclusively used codenames of places in Hawaii. However, with the Snapdragon X2 series, it shifts to Iceland, with the highest waterfall name being used for this next-generation processor. While we have almost zero clue about core counts and clocks, we know that the CPU cores will be an iteration of Nuvia's Oryon design, likely being pre-designed before the acquisition of the Nuvia design team.

According to Winfuture, Qualcomm started testing the next-generation SC8480XP SoC in July and August, testing various RAM and storage configurations. The company will likely evaluate the best configurations for the upcoming platform, tune the RAM speed with the SoC, and decide on guidelines for storage configurations. We are still waiting to see meaningful hints about the next-generation platform, and we are especially curious about the clocks and core counts that Qualcomm is preparing.

iPhone 16 Pro Max Testing Reveals A18 Pro Still Limited in Raster Performance Despite Improved Ray Tracing

Apple recently launched the iPhone 16 Pro and Pro Max with the company's new A18 Pro SoC, and in its presentation, Apple claimed the new SoC offered up to 20% faster gaming performance than the previous generation. While this may be true in certain scenarios, recent testing in Alien Isolation has revealed that the A18 Pro's GPU still has some shortcomings when it comes to gaming.

According to the tests run by MrMacRightPlus, the Apple iPhone 16 Pro Max is barely able to maintain 30 FPS in Alien Isolation when running at its native 2868×1320 pixel resolution. While Alien Isolation is a AAA title that was ported to the iPhone, it is still a 10-year-old game, meaning it should be fairly easy to run. Lowering the in-game resolution, however, results in a substantial improvement to the A18 Pro's performance, with the game reaching 60 FPS after the change. This 30 FPS limitation may not all be down to a lack of performance from the A18 Pro SoC, though.

Mobilint Debuts New AI Chips at Silicon Valley Summit

Mobilint, an edge AI chip company led by CEO Dongjoo Shin, is set to make waves at the upcoming AI Hardware & Edge AI Summit 2024 in Silicon Valley. The three-day event, starting on September 10th, will showcase Mobilint's latest innovations in AI chip technology. The company will demonstrate live demos of its high-efficiency SoC 'REGULUS' for on-device AI and high-performance acceleration chip 'ARIES' for on-premises AI.

The AI Hardware Summit is an annual event where global IT giants such as Microsoft, NVIDIA, Google, Meta, and AMD, along with prominent startups, gather to share their developments in AI and machine learning. This year's summit features world-renowned AI experts as speakers, including Andrew Ng, CEO of Landing AI, and Mark Russinovich, CTO of Microsoft Azure.

TSMC's Next-Gen AI Packaging: 12 HBM4 and A16 Chiplets by 2027

During the Semicon Taiwan 2024 summit event, TSMC VP of Advanced Packaging Technology, Jun He, spoke about the importance of merging AI chip memory and logic chips using 3D IC technology. He predicted that by 2030 the worldwide semiconductor industry would hit the $1 trillion milestone with HPC and AI leading 40 percent of the market share. In 2027, TSMC will introduce the 2.5D CoWoS technology that includes eight A16 process chipsets and 12 HBM4. AI processors that use this technology will not only be much cheaper to produce but will also provide engineers with a greater level of convenience. Engineers will have the option to write new codes into them instead. Manufacturers are cutting the SoC and HBM architectural conversion and mass production costs down to nearly one-fourth.

Nevertheless, the increasing production capacities of 3D IC technology remain the main challenge, as the size of chips and the complexity of manufacturing are decisive factors. However, the higher the size of the chips, the more chiplets are added, and thus the performance is improved, but this now makes the process even more complicated and is associated with more risks of misalignment, breakage, and extraction failure.

Microsoft Unveils New Details on Maia 100, Its First Custom AI Chip

Microsoft provided a detailed view of Maia 100 at Hot Chips 2024, their initial specialized AI chip. This new system is designed to work seamlessly from start to finish, with the goal of improving performance and reducing expenses. It includes specially made server boards, unique racks, and a software system focused on increasing the effectiveness and strength of sophisticated AI services, such as Azure OpenAI. Microsoft introduced Maia at Ignite 2023, sharing that they had created their own AI accelerator chip. More information was provided earlier this year at the Build developer event. The Maia 100 is one of the biggest processors made using TSMC's 5 nm technology, designed for handling extensive AI tasks on Azure platform.

Maia 100 SoC architecture features:
  • A high-speed tensor unit (16xRx16) offers rapid processing for training and inferencing while supporting a wide range of data types, including low precision data types such as the MX data format, first introduced by Microsoft through the MX Consortium in 2023.
  • The vector processor is a loosely coupled superscalar engine built with custom instruction set architecture (ISA) to support a wide range of data types, including FP32 and BF16.
  • A Direct Memory Access (DMA) engine supports different tensor sharding schemes.
  • Hardware semaphores enable asynchronous programming on the Maia system.

Possible Sony PlayStation 5 Pro Sketch Surfaces

This could very well be what the elusive new PlayStation 5 console looks like. DeaLabs illustrated its design as part of its article compiling all rumored tech specs of the console. The console's body retains the essential design of the digital-only variant of PlayStation 5, and its refresh. The disc variant of PlayStation 5 has a crease accent running along its side panels, toward the top one-quarter. The PS5 Pro possibly has more crease accents in its place, possibly even serving as a set of air vents. This is only a 2-color illustration, which means the console could have a unique body color scheme, too.

The PlayStation 5 Pro is being designed for a nearly 2-3 times performance uplift over the original PlayStation 5, and its 6 nm mid-lifecycle refresh. AMD remains the SoC supplier for the PS5 Pro, and its chip is codenamed "Viola." This chip could be built on a more advanced foundry node than even the 6 nm "Oberon Plus" powering the PS5 (refresh). It is a semi-custom chip in the true sense, as it has a unique mix of AMD IP blocks from several generations.

SiFive Announces Performance P870-D RISC-V Datacenter Processor

Today SiFive, Inc., the gold standard for RISC-V computing, announced its new SiFive Performance P870-D datacenter processor to meet customer requirements for highly parallelizable infrastructure workloads including video streaming, storage, and web appliances. When used in combination with products from the SiFive Intelligence product family, datacenter architects can also build an extremely high-performance, energy efficient compute subsystem for AI-powered applications.

Building on the success of the P870, the P870-D supports the open AMBA CHI protocol so customers have more flexibility to scale the number of clusters. This scalability allows customers to boost performance while minimizing power consumption. By harnessing a standard CHI bus, the P870-D enables SiFive's customers to scale up to 256 cores while harnessing industry-standard protocols, including Compute Express Link (CXL) and CHI chip to chip (C2C), to enable coherent high core count heterogeneous SoCs and chiplet configurations.

Intel Announces Arc A760A Automotive-grade GPU

In a strategic move to empower automakers with groundbreaking opportunities, Intel unveiled its first discrete graphics processing unit (dGPU), the Intel Arc Graphics for Automotive, at its AI Cockpit Innovation Experience event. To advance automotive AI, the product will be commercially deployed in vehicles as soon as 2025, accelerating automobile technology and unlocking a new era of AI-driven cockpit experiences and enhanced personalization for manufacturers and drivers alike.

Intel's entry into automotive discrete GPUs addresses growing demand for compute power in increasingly sophisticated vehicle cockpits. By adding the Intel Arc graphics for Automotive to its existing portfolio of AI-enhanced software-defined vehicle (SDV) system-on-chips (SoCs), Intel offers automakers an open, flexible and scalable platform solution that brings next-level, high-fidelity experiences to the vehicle.

VIA Announces Three New Platforms That Deliver Advanced Edge AI Capabilities

VIA Technologies, Inc., a leading innovator in the development of embedded platforms and systems, today announced the launch of three new high-performance edge AI solutions: the SOM-5000, VAB-5000, and ARTiGO A5000. These platforms are designed to meet the growing demand for intelligent edge computing across a wide range of industrial, commercial, and consumer applications.

"These new platforms represent a significant leap forward in edge AI technology," said Epan Wu, General Manager, VIA Intelligent Solutions. "With their advanced processing capabilities and versatile connectivity options, the SOM-5000, VAB-5000, and ARTiGO A5000 enable our customers to develop innovative and efficient edge AI applications."

Weebit Nano and DB HiTek Tape-out ReRAM Module in 130nm BCD Process

Weebit Nano Limited, a leading developer and licensor of advanced memory technologies for the global semiconductor industry, and tier-1 semiconductor foundry DB HiTek have taped-out (released to manufacturing) a demonstration chip integrating Weebit's embedded Resistive Random-Access Memory (ReRAM or RRAM) module in DB HiTek's 130 nm Bipolar-CMOS-DMOS (BCD) process. The highly integrated demo chips will be used for testing and qualification ahead of customer production, while demonstrating the performance and robustness of Weebit's technology.

This important milestone in the collaboration between Weebit and DB HiTek (previously announced on 19 October 2023) was completed on-schedule as part of the technology transfer process. The companies are working to make Weebit ReRAM available to DB HiTek customers for integration in their systems on chips (SoCs) as embedded non-volatile memory (NVM), and aim to have the technology qualified and ready for production in the second quarter of the 2025 calendar year. Weebit ReRAM is available now to select DB HiTek customers for design prototyping ahead of production.

Samsung Electronics Announces Results for Second Quarter of 2024

Samsung Electronics today reported financial results for the second quarter ended June 30, 2024. The Company posted KRW 74.07 trillion in consolidated revenue and operating profit of KRW 10.44 trillion as favorable memory market conditions drove higher average sales price (ASP), while robust sales of OLED panels also contributed to the results.

Memory Market Continues To Recover; Solid Second Half Outlook Centered on Server Demand
The DS Division posted KRW 28.56 trillion in consolidated revenue and KRW 6.45 trillion in operating profit for the second quarter. Driven by strong demand for HBM as well as conventional DRAM and server SSDs, the memory market as a whole continued its recovery. This increased demand is a result of the continued AI investments by cloud service providers and growing demand for AI from businesses for their on-premise servers.

AMD Strix Point SoC Reintroduces Dual-CCX CPU, Other Interesting Silicon Details Revealed

Since its reveal last week, we got a slightly more technical deep-dive from AMD on its two upcoming processors—the "Strix Point" silicon powering its Ryzen AI 300 series mobile processors; and the "Granite Ridge" chiplet MCM powering its Ryzen 9000 desktop processors. We present a closer look into the "Strix Point" SoC in this article. It turns out that "Strix Point" takes a significantly different approach to heterogeneous multicore than "Phoenix 2." AMD gave us a close look at how this works. AMD built the "Strix Point" monolithic silicon on the TSMC N4P foundry node, with a die-area of around 232 mm².

The "Strix Point" silicon sees the company's Infinity Fabric interconnect as its omnipresent ether. This is a point-to-point interconnect, unlike the ringbus on some Intel processors. The main compute machinery on the "Strix Point" SoC are its two CPU compute complexes (CCX), each with a 32b (read)/16b (write) per cycle data-path to the fabric. The concept of CCX makes a comeback with "Strix Point" after nearly two generations of "Zen." The first CCX contains the chip's four full-sized "Zen 5" CPU cores, which share a 16 MB L3 cache among themselves. The second CCX contains the chip's eight "Zen 5c" cores that share a smaller 8 MB L3 cache. Each of the 12 cores has a 1 MB dedicated L2 cache.

AMD Strix Point SoC "Zen 5" and "Zen 5c" CPU Cores Have 256-bit FPU Datapaths

AMD in its architecture deep-dive Q&A session with the press, confirmed that the "Zen 5" and "Zen 5c" cores on the "Strix Point" silicon only feature 256-bit wide FPU data-paths, unlike the "Zen 5" cores in the "Granite Ridge" Ryzen 9000 desktop processors. "The Zen 5c used in Strix has a 256-bit data-path, and so does the Zen 5 used inside of Strix," said Mike Clark, AMD corporate fellow and chief architecture of the "Zen" CPU cores. "So there's no delta as you move back and forth [thread migration between the Zen 5 and Zen 5c complexes] in vector throughput," he added.

It doesn't seem like AMD disabled a physically available feature, but rather, the company developed a variant of both the "Zen 5" and "Zen 5c" cores that physically lack the 512-bit data-paths. "And you get the area advantage to be able to scale out a little bit more," Clark continued. This suggests that the "Zen 5" and "Zen 5c" cores on "Strix Point" are physically smaller than the ones on the 4 nm "Eldora" 8-core CCD that is featured in "Granite Ridge" and some of the key models of the upcoming 5th Gen EPYC "Turin" server processors.

Ryzen 9000 Chip Layout: New Details Announced

AMD "Granite Ridge" is codename for the four new Ryzen 9000 series desktop processors the company plans to launch on July 31, 2024. The processor is built in the Socket AM5 package, and is meant to be backwards compatible with AMD 600-series chipset motherboards, besides the new 800-series chipset ones that will launch alongside. "Granite Ridge" is a chiplet-based processor, much like the Ryzen 7000 "Raphael," Ryzen 5000 "Vermeer," and Ryzen 3000 "Matisse." AMD is carrying over the 6 nm client I/O die over from "Raphael" in an effort to minimize development costs, much in the same way it carried over the 12 nm cIOD for "Vermeer" from "Matisse."

The SoC I/O features of "Granite Ridge" are contemporary, with its awesome 28-lane PCI-Express Gen 5 root complex that allows a PCI-Express 5.0 x16, two CPU-attached M.2 Gen 5 slots, and a Gen 5 x4 chipset bus. There's also a basic integrated graphics solution based on the older RDNA 2 graphics architecture; which should make these processors fit for all use-cases that don't need discrete graphics. The iGPU even has multimedia accelerators, an audio coprocessor, a display controller, and USB 3.2 interfaces from the processor.

Avnet ASIC Team Launches Ultra-Low-Power Design Services for TSMC's 4nm Process Nodes

Avnet ASIC, a division of Avnet Silica, an Avnet company, today announced that it has launched its new ultra-low-power design services for TSMC's cutting-edge 4 nm and below process technologies. These services are designed to enable customers to achieve exceptional power efficiency and performance in their high-performance applications, such as blockchain and AI edge computing. TSMC is the world's leading silicon foundry and Avnet ASIC division is a leading provider of ASIC and SoC full turnkey solutions.

The new design services leverage a comprehensive approach to address the challenges of operating at extreme low-voltage conditions in the 4 nm and below nodes. This includes recharacterizing standard cells for lower voltages, performing early RTL exploration to optimize power, performance, and area (PPA) tradeoffs, implementing an optimized clock tree, and utilizing transistor-level simulations to enhance the power optimization process.

Gaming Monitor Market Expected to Reach 27.4 Million Units by 2028

New insights from Omdia's Desktop Monitor Intelligence Service show the gaming monitor market, featuring refresh rates over 120 Hz, is expected to grow by 9% YoY to 24.7 million units in 2024. Meanwhile, the smart monitor market, equipped with operating systems and streaming service portals, is projected to expand by 63% YoY to 1.2 million units.

In 1Q24, desktop monitor shipments hit 30.7 million units, a 5% increase year-on-year (YoY). The industry has been growing steadily since 3Q23, overcoming post-pandemic logistical disruptions. Notably, the gaming monitor market and smart monitors are expanding rapidly. This growth is driven by added value and high functionality, particularly in both monitor categories.

Samsung Completes Validation of Industry's Fastest LPDDR5X for Use With MediaTek's Flagship Mobile Platform

Samsung Electronics, the world leader in advanced memory technology, today announced it has successfully completed verification of the industry's fastest 10.7 gigabit-per-second (Gbps) Low Power Double Data Rate 5X (LPDDR5X) DRAM for use on MediaTek's next-generation Dimensity platform.

The 10.7 Gbps operation speed verification was carried out using Samsung's LPDDR5X 16-gigabyte (GB) package on MediaTek's upcoming flagship Dimensity 9400 System on Chip (SoC), scheduled to be released in the second half of this year. The two companies have closely collaborated to complete the verification within just three months.

Intel Demonstrates First Fully Integrated Optical IO Chiplet

Intel Corporation has achieved a revolutionary milestone in integrated photonics technology for high-speed data transmission. At the Optical Fiber Communication Conference (OFC) 2024, Intel's Integrated Photonics Solutions (IPS) Group demonstrated the industry's most advanced and first-ever fully integrated optical compute interconnect (OCI) chiplet co-packaged with an Intel CPU and running live data. Intel's OCI chiplet represents a leap forward in high-bandwidth interconnect by enabling co-packaged optical input/output (I/O) in emerging AI infrastructure for data centers and high performance computing (HPC) applications.

"The ever-increasing movement of data from server to server is straining the capabilities of today's data center infrastructure, and current solutions are rapidly approaching the practical limits of electrical I/O performance. However, Intel's groundbreaking achievement empowers customers to seamlessly integrate co-packaged silicon photonics interconnect solutions into next-generation compute systems. Our OCI chiplet boosts bandwidth, reduces power consumption and increases reach, enabling ML workload acceleration that promises to revolutionize high-performance AI infrastructure," said Thomas Liljeberg, senior director, Product Management and Strategy, Integrated Photonics Solutions (IPS) Group.

CSPs to Expand into Edge AI, Driving Average NB DRAM Capacity Growth by at Least 7% in 2025

TrendForce has observed that in 2024, major CSPs such as Microsoft, Google, Meta, and AWS will continue to be the primary buyers of high-end AI servers, which are crucial for LLM and AI modeling. Following establishing a significant AI training server infrastructure in 2024, these CSPs are expected to actively expand into edge AI in 2025. This expansion will include the development of smaller LLM models and setting up edge AI servers to facilitate AI applications across various sectors, such as manufacturing, finance, healthcare, and business.

Moreover, AI PCs or notebooks share a similar architecture to AI servers, offering substantial computational power and the ability to run smaller LLM and generative AI applications. These devices are anticipated to serve as the final bridge between cloud AI infrastructure and edge AI for small-scale training or inference applications.

TSMC Begins 3 nm Production for Intel's "Lunar Lake" and "Arrow Lake" Tiles

TSMC has commenced mass-production of chips for Intel on its 3 nm EUV FinFET foundry node, according to a report by Taiwan industry observer DigiTimes. Intel is using the TSMC 3 nm node for the compute tile of its upcoming Core Ultra 300 "Lunar Lake" processor. The company went into depth about "Lunar Lake" in its Computex 2024 presentation. While a disaggregated chiplet-based processor like "Meteor Lake," the new "Lunar Lake" chip sees the CPU cores, iGPU, NPU, and memory controllers sit on a single chiplet called the compute tile, built on the 3 nm node; while the SoC and I/O components are disaggregated the chip's only other chiplet, the SoC tile, which is built on the TSMC 6 nm node.

Intel hasn't gone into the nuts and bolts of "Arrow Lake," besides mentioning that the processor will feature the same "Lion Cove" P-cores and "Skymont" E-cores as "Lunar Lake," albeit arranged in a more familiar ringbus configuration, where the E-core clusters share L3 cache with the P-cores (something that doesn't happen on "Lunar Lake"). "Arrow Lake" also features a iGPU based on the same Xe2 graphics architecture as "Lunar Lake," and will feature an NPU that meets Microsoft Copilot+ AI PC requirements. What remains a mystery about "Arrow Lake" is the way Intel will go about organizing the various chiplets or tiles. Reports from February 2024 mentioned Intel tapping into TSMC 3 nm for just the disaggregated graphics tile of "Arrow Lake," but we now know from "Lunar Lake" that Intel doesn't shy away from letting TSMC fabricate its CPU cores. The first notebooks powered by "Lunar Lake" are expected to hit shelves within Q3-2024, with "Arrow Lake" following on in Q4.

AMD Releases Chipset Software 6.05.28.016

AMD late Tuesday released the latest version of its Chipset Software. This is an important piece of software that, besides providing drivers for the various onboard SoC interfaces of the processor and chipset, provides your Windows operating system with software-side processor power-management (PPM) awareness. Version 6.05.28.016 is the latest version of it, supporting AMD 300-series, 400-series, 500-series, and 600-series chipsets. Version 6.05.28.016 adds support for the new Windows 11 24H2 Update. Support is added for a new program (possibly the latest version of Ryzen Master). The release also adds a few unspecified bug-fixes.

DOWNLOAD: AMD Chipset Software 6.05.28.016

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