The latest TrendForce report reveals a notable 7.9% jump in 4Q23 revenue for the world's top ten semiconductor foundries, reaching $30.49 billion. This growth is primarily driven by sustained demand for smartphone components, such as mid and low-end smartphone APs and peripheral PMICs. The launch season for Apple's latest devices also significantly contributed, fueling shipments for the A17 chipset and associated peripheral ICs, including OLED DDIs, CIS, and PMICs. TSMC's premium 3 nm process notably enhanced its revenue contribution, pushing its global market share past the 60% threshold this quarter.

TrendForce remarks that 2023 was a challenging year for foundries, marked by high inventory levels across the supply chain, a weak global economy, and a slow recovery in the Chinese market. These factors led to a downward cycle in the industry, with the top ten foundries experiencing a 13.6% annual drop as revenue reached just $111.54 billion. Nevertheless, 2024 promises a brighter outlook, with AI-driven demand expected to boost annual revenue by 12% to $125.24 billion. TSMC, benefiting from steady advanced process orders, is poised to far exceed the industry average in growth.

MiTAC Computing Technology, a subsidiary of MiTAC Holdings Corp., proudly reveals its groundbreaking suite of server solutions that deliver unsurpassed capabilities with the 5th Gen Intel Xeon Scalable Processors. MiTAC introduces its cutting-edge signature platforms that seamlessly integrate the Intel Data Center GPUs, both Intel Max Series and Intel Flex Series, an unparalleled leap in computing performance is unleashed targeting HPC and AI applications.

MiTAC Announce its Full Array of Platforms Supporting the latest 5th Gen Intel Xeon Scalable Processors
Last year, Intel transitioned the right to manufacture and sell products based on Intel Data Center Solution Group designs to MiTAC. MiTAC confidently announces a transformative upgrade to its product offerings, unveiling advanced platforms that epitomize the future of computing. Featured with up to 64 cores, expanded shared cache, increased UPI and DDR5 support, the latest 5th Gen Intel Xeon Scalable Processors deliver remarkable performance per watt gains across various workloads. MiTAC's Intel Server M50FCP Family and Intel Server D50DNP Family fully support the latest 5th Gen Intel Xeon Scalable Processors, made possible through a quick BIOS update and easy technical resource revisions which provide unsurpassed performance to diverse computing environments.

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.

In Sept. 2023, Quantum Machines (QM) unveiled OPX1000, our most advanced quantum control system to date - and the industry's leading controller in terms of performance and channel density. OPX1000 is the third generation of QM's processor-based quantum controllers. It enhances its predecessor, OPX+, by expanding analog performance and multiplying channel density to support the control of over 1,000 qubits. However, QM's vision for quantum controllers extends far beyond.

OPX1000 is designed as a platform for orchestrating the control of large-scale QPUs (quantum processing units). It's equipped with 8 frontend modules (FEMs) slots, representing the cutting-edge modular architecture for quantum control. The first low-frequency (LF) module was introduced in September 2023, and today, we're happy to introduce the Microwave (MW) FEM, which delivers additional value to our rapidly expanding customer base.

GPTshop.ai is building prototypes of their "ultimate high-end desktop supercomputer," running the NVIDIA GH200 "Grace" CPU for AI and HPC workloads. Michael Larabel—founder and principal author of Phoronix—was first allowed to "remote access" a GPTshop.ai GH200 576 GB workstation converted model in early February—for the purpose of benchmarking it against systems based on AMD EPYC Zen 4 and Intel Xeon Emerald Rapids processors. Larabel noted: "it was a very interesting battle" that demonstrated the capabilities of 72 Arm Neoverse-V2 cores (in Grace). With this GPTshop.ai GH200 system actually being in workstation form, I also ran some additional benchmarks looking at the CPU capabilities of the GH200 compared to AMD Ryzen Threadripper 7000 series workstations."

Larabel had on-site access to two different Threadripper systems—a Hewlett-Packard (HP) Z6 G5 A workstation and a System76 Thelio Major semi-custom build. No comparable Intel "Xeon W hardware" was within reach, so the Team Green desktop supercomputer was only pitched against AMD HEDT processors. The HP review sample was configured with an AMD Ryzen Threadripper PRO 7995WX 96-core / 192-thread Zen 4 processor, 8 x 16 GB DDR5-5200 memory, and NVIDIA RTX A4000 GPU. Larabel said that it was an "all around nice high-end AMD workstation." The System76 Thelio Major was specced with an AMD Ryzen Threadripper 7980X processor "as the top-end non-PRO SKU." It is a 64-core / 128-thread part, working alongside 4 x 32 GB DDR5-4800 memory and a Radeon PRO W7900 graphics card.

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.

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."

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.

The global interposer and FOWLP market is expected to be valued at USD 35.6 billion in 2024 and is projected to reach USD 63.5 billion by 2029; it is expected to grow at a CAGR of 12.3% during the forecast period according to a new report by MarketsandMarkets. The increasing demand for advanced packaging in AI and high-performance computing (HPC) are the key drivers fueling the expansion of the interposer and FOWLP market.

Interposer-based packaging is experiencing robust growth in the semiconductor industry, leveraging its ability to enhance performance and reduce power consumption by facilitating efficient connections between diverse chip components. This technology is increasingly adopted for its role in enabling high-bandwidth and high-performance applications, driving advancements in data centers, 5G infrastructure, and emerging technologies.

The Barcelona Supercomputing Center (BSC) and the State University of New York (Stony Brook and Buffalo campuses) have pitted NVIDIA's relatively new CG100 "Grace" Superchip against several rival products in a "wide variety of HPC and AI benchmarks." Team Green marketing material has focused mainly on the overall GH200 "Grace Hopper" package—so it is interesting to see technical institutes concentrate on the company's "first true" server processor (ARM-based), rather than the ever popular GPU aspect. The Next Platform's article summarized the chip's internal makeup: "(NVIDIA's) Grace CPU has a relatively high core count and a relatively low thermal footprint, and it has banks of low-power DDR5 (LPDDR5) memory—the kind used in laptops but gussied up with error correction to be server class—of sufficient capacity to be useful for HPC systems, which typically have 256 GB or 512 GB per node these days and sometimes less."

Benchmark results were revealed at last week's HPC Asia 2024 conference (in Nagoya, Japan)—Barcelona Supercomputing Center (BSC) and the State University of New York also uploaded their findings to the ACM Digital Library (link #1 & #2). BSC's MareNostrum 5 system contains an experimental cluster portion—consisting of NVIDIA Grace-Grace and Grace-Hopper superchips. We have heard plenty about the latter (in press releases), but the former is a novel concept—as outlined by The Next Platform: "Put two Grace CPUs together into a Grace-Grace superchip, a tightly coupled package using NVLink chip-to-chip interconnects that provide memory coherence across the LPDDR5 memory banks and that consumes only around 500 watts, and it gets plenty interesting for the HPC crowd. That yields a total of 144 Arm Neoverse "Demeter" V2 cores with the Armv9 architecture, and 1 TB of physical memory with 1.1 TB/sec of peak theoretical bandwidth. For some reason, probably relating to yield on the LPDDR5 memory, only 960 GB of that memory capacity and only 1 TB/sec of that memory bandwidth is actually available."

The World AI Cannes Festival (WAICF) is set to be the epicenter of artificial intelligence innovation, where the globe's top 200 decision-makers and AI innovators will converge for three days of intense discussions on groundbreaking AI strategies and use-cases. Against the backdrop of this premier event, GIGABYTE has strategically chosen to participate, unveiling its exponential growth in the AI and High-Performance Computing (HPC) market segments.

The AI industry has witnessed unprecedented growth, with Cloud Service Providers (CSP's) and data center operators spearheading supercomputing projects. GIGABYTE's decision to promote its GPU server portfolio with over 70+ models, at WAICF is a testament to the increasing demands from the French market for sovereign AI Cloud solutions. The spotlight will be on GIGABYTE's success stories on enabling GPU Cloud infrastructure, seamlessly powered by NVIDIA GPU technologies, as GIGABYTE aims to engage in meaningful conversations with end-users and firms dependent on GPU computing.

An Open Image Denoise 2.2 release candidate was released earlier today—as discovered by Phoronix's founder and principal writer; Michael Larabel. Intel's dedicated website has not been updated with any new documentation or changelogs (at the time of writing), but a GitHub release page shows all of the crucial information. Team Blue's open-source oneAPI has been kept up-to-date with the latest technologies—not only limited to Intel's stable of Xe-LP, Xe-HPG and Xe-HPC components—the Phonorix article highlights updated support on competing platforms. The v2.2 preview adds support for Meteor Lake's integrated Arc graphics solution, and additional "denoising quality enhancements and other improvements."

Non-Intel platform improvements include updates for Apple's M-series chipsets, AArch64 processors, and NVIDIA CUDA. OIDn 2.2-rc: "adds Metal device support for Apple Silicon GPUs on recent versions of macOS. OIDn has already been supporting ARM64/AArch64 for Apple Silicon CPUs while now Open Image Denoise has extended that AArch64 support to work on Windows and Linux too. There is better performance in general for Open Image Denoise on CPUs with this forthcoming release." The changelog also highlights a general improvement performance across processors, and a fix that resolves a crash incident: "when releasing a buffer after releasing the device."

GIGABYTE Technology, a pioneer in computer hardware, has taken a significant stride in shaping its European business model. Today, GIGABYTE has broadened its e-commerce platform, shop.gigabyte.eu, by integrating enterprise server and server motherboard solutions into its product portfolio. Being at the forefront of computer hardware manufacturing, GIGABYTE recognizes that it is imperative to expand its presence in the EMEA region to maintain its leadership across all markets. With the introduction of our enterprise-level server and motherboard solutions, we are dedicated to delivering a diverse range of high-performance products directly to our B2B clients.

GIGABYTE offers a complete product portfolio that addresses all workloads from the data center to edge including traditional and emerging workloads in HPC and AI to data analytics, 5G/edge, cloud computing, and more. Our enduring partnerships with key technology leaders ensure that our new products are at the forefront of innovation and launch with new partner platforms. Our systems embody performance, security, scalability, and sustainability. Within the e-commerce product portfolio, we offer a selection of models from our Edge, Rack, GPU, and Storage series. Additionally, the platform provides server motherboards for custom integration. The current selection comprises a mix of solutions tailored to online sales. For more complex solutions, customers can get in touch via the integrated contact form.

Lenovo (HKSE: 992) (ADR: LNVGY) has today announced that the General Purpose Partition of the MareNostrum 5, a new pre-exascale supercomputer running on Lenovo's HPC infrastructure, has been classified as the top x86 general-purpose cluster on the recently published TOP500 list of the most powerful supercomputers globally.

Officially inaugurated at Barcelona Supercomputing Center on December 21st, MareNostrum 5 has been built for the European High Performance Computing Joint Undertaking (EuroHPC JU). The pre-exascale supercomputer will bolster the EU's mission to provide Europe with the most advanced supercomputing technology and accelerate the capacity for artificial intelligence (AI) research, enabling new scientific advances that will help solve global challenges. It aims to empower a wide range of complex HPC-specific applications, from climate research and engineering to material science and earth sciences, adeptly handling tasks that extend beyond the capabilities of cloud computing.

The Industrial Technology Research Institute (ITRI) has joined forces with Taiwan Semiconductor Manufacturing Company (TSMC) for pioneering research into the development of a spin-orbit-torque magnetic random-access memory (SOT-MRAM) array chip. This SOT-MRAM array chip showcases an innovative computing in memory architecture and boasts a power consumption of merely one percent of a spin-transfer torque magnetic random-access memory (STT-MRAM) product. Their collaborative efforts have resulted in a research paper on this microelectronic component, which was jointly presented at the 2023 IEEE International Electron Devices Meeting (IEDM 2023), underscoring the cutting-edge nature of their findings and their pivotal role in advancing next-generation memory technologies.

Dr. Shih-Chieh Chang, General Director of Electronic and Optoelectronic System Research Laboratories at ITRI, highlighted the collaborative achievements of both organizations. "Following the co-authored papers presented at the Symposium on VLSI Technology and Circuits last year, we have further co-developed a SOT-MRAM unit cell," said Chang. "This unit cell achieves simultaneous low power consumption and high-speed operation, reaching speeds as rapid as 10 nanoseconds. And its overall computing performance can be further enhanced when integrated with computing in memory circuit design. Looking ahead, this technology holds the potential for applications in high-performance computing (HPC), artificial intelligence (AI), automotive chips, and more."

Global semiconductor capacity is expected to increase 6.4% in 2024 to top the 30 million *wafers per month (wpm) mark for the first time after rising 5.5% to 29.6 wpm in 2023, SEMI announced today in its latest quarterly World Fab Forecast report.

The 2024 growth will be driven by capacity increases in leading-edge logic and foundry, applications including generative AI and high-performance computing (HPC), and the recovery in end-demand for chips. The capacity expansion slowed in 2023 due to softening semiconductor market demand and the resulting inventory correction.

In the era of high-tech development and the ever-increasing demand for data processing power, data centers are consuming more energy and generating excess heat. As a global leader in thermal solutions, SUNON is at the forefront, offering a diverse range of cutting-edge liquid cooling solutions tailored to advanced data centers equipped with high-capacity CPU and GPU computing for AI, edge, and cloud servers.

SUNON's liquid cooling design services are ideally suited for modern data centers, generative AI computing, and high-performance computing (HPC) applications. These solutions are meticulously customized to fit the cooling space and server density of each data center. With their compact yet comprehensive design, they guarantee exceptional cooling efficiency and reliability, ultimately contributing to a significant reduction in a client's total cost of ownership (TCO) in the long term. In the pursuit of net-zero emissions standards, SUNON's liquid cooling solutions play a pivotal role in enhancing corporate sustainability. They o ff er a win-win scenario for clients seeking to transition toward greener and more digitalized operations.

TYAN, a leading server platform design manufacturer and a MiTAC Computing Technology Corporation subsidiary, today introduced upgraded server platforms and motherboards based on the brand-new 5th Gen Intel Xeon Scalable Processors, formerly codenamed Emerald Rapids.

5th Gen Intel Xeon processor has increased to 64 cores, featuring a larger shared cache, higher UPI and DDR5 memory speed, as well as PCIe 5.0 with 80 lanes. Growing and excelling with workload-optimized performance, 5th Gen Intel Xeon delivers more compute power and faster memory within the same power envelope as the previous generation. "5th Gen Intel Xeon is the second processor offering inside the 2023 Intel Xeon Scalable platform, offering improved performance and power efficiency to accelerate TCO and operational efficiency", said Eric Kuo, Vice President of Server Infrastructure Business Unit, MiTAC Computing Technology Corporation. "By harnessing the capabilities of Intel's new Xeon CPUs, TYAN's 5th-Gen Intel Xeon-supported solutions are designed to handle the intense demands of HPC, data centers, and AI workloads.

Today at the "AI Everywhere" event, Intel launched its 5th Gen Intel Xeon processors (code-named Emerald Rapids) that deliver increased performance per watt and lower total cost of ownership (TCO) across critical workloads for artificial intelligence, high performance computing (HPC), networking, storage, database and security. This launch marks the second Xeon family upgrade in less than a year, offering customers more compute and faster memory at the same power envelope as the previous generation. The processors are software- and platform-compatible with 4th Gen Intel Xeon processors, allowing customers to upgrade and maximize the longevity of infrastructure investments while reducing costs and carbon emissions.

"Designed for AI, our 5th Gen Intel Xeon processors provide greater performance to customers deploying AI capabilities across cloud, network and edge use cases. As a result of our long-standing work with customers, partners and the developer ecosystem, we're launching 5th Gen Intel Xeon on a proven foundation that will enable rapid adoption and scale at lower TCO." -Sandra Rivera, Intel executive vice president and general manager of Data Center and AI Group.

Huawei's subsidiary HiSilicon has made significant strides in the independent R&D of AI chips, launching the next-gen Ascend 910B. These chips are utilized not only in Huawei's public cloud infrastructure but also sold to other Chinese companies. This year, Baidu ordered over a thousand Ascend 910B chips from Huawei to build approximately 200 AI servers. Additionally, in August, Chinese company iFlytek, in partnership with Huawei, released the "Gemini Star Program," a hardware and software integrated device for exclusive enterprise LLMs, equipped with the Ascend 910B AI acceleration chip, according to TrendForce's research.

TrendForce conjectures that the next-generation Ascend 910B chip is likely manufactured using SMIC's N+2 process. However, the production faces two potential risks. Firstly, as Huawei recently focused on expanding its smartphone business, the N+2 process capacity at SMIC is almost entirely allocated to Huawei's smartphone products, potentially limiting future capacity for AI chips. Secondly, SMIC remains on the Entity List, possibly restricting access to advanced process equipment.

GIGABYTE Technology: Giga Computing, a subsidiary of GIGABYTE and an industry leader in high-performance servers, and IT infrastructure, today announced the GIGABYTE G383-R80 for the AMD Instinct MI300A APU and two GIGABYTE G593 series servers for the AMD Instinct MI300X GPU and AMD EPYC 9004 Series processor. As a testament to the performance of AMD Instinct MI300 Series family of products, the El Capitan supercomputer at Lawrence Livermore National Laboratory uses the MI300A APU to power exascale computing. And these new GIGABYTE servers are the ideal platform to propel discoveries in HPC & AI at exascale.⁠

Marrying of a CPU & GPU: G383-R80
For incredible advancements in HPC there is the GIGABYTE G383-R80 that houses four LGA6096 sockets for MI300A APUs. This chip integrates a CPU that has twenty-four AMD Zen 4 cores with a powerful GPU built with AMD CDNA 3 GPU cores. And the chiplet design shares 128 GB of unified HBM3 memory for impressive performance for large AI models. The G383 server has lots of expansion slots for networking, storage, or other accelerators, with a total of twelve PCIe Gen 5 slots. And in the front of the chassis are eight 2.5" Gen 5 NVMe bays to handle heavy workloads such as real-time big data analytics and latency-sensitive workloads in finance and telecom. ⁠

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

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

SK hynix presented its leading AI and high-performance computing (HPC) solutions at Supercomputing 2023 (SC23) held in Denver, Colorado between November 12-17. Organized by the Association for Computing Machinery and IEEE Computer Society since 1988, the annual SC conference showcases the latest advancements in HPC, networking, storage, and data analysis. SK hynix marked its first appearance at the conference by introducing its groundbreaking memory solutions to the HPC community. During the six-day event, several SK hynix employees also made presentations revealing the impact of the company's memory solutions on AI and HPC.

Displaying Advanced HPC & AI Products
At SC23, SK hynix showcased its products tailored for AI and HPC to underline its leadership in the AI memory field. Among these next-generation products, HBM3E attracted attention as the HBM solution meets the industry's highest standards of speed, capacity, heat dissipation, and power efficiency. These capabilities make it particularly suitable for data-intensive AI server systems. HBM3E was presented alongside NVIDIA's H100, a high-performance GPU for AI that uses HBM3 for its memory.

Ansys has collaborated with TSMC and Microsoft to validate a joint solution for analyzing mechanical stresses in multi-die 3D-IC systems manufactured with TSMC's 3DFabric advanced packaging technologies. This collaborative solution gives customers added confidence to address novel multiphysics requirements that improve the functional reliability of advanced designs using TSMC's 3DFabric, a comprehensive family of 3D silicon stacking and advanced packaging technologies.

Ansys Mechanical is the industry-leading finite element analysis software used to simulate mechanical stresses caused by thermal gradients in 3D-ICs. The solution flow has been proven to run efficiently on Microsoft Azure, helping to ensure fast turn-around times with today's very large and complex 2.5D/3D-IC systems.

TYAN, an industry leader in server platform design and a subsidiary of MiTAC Computing Technology Corporation, debuts its new server line-up for 4th Gen AMD EPYC & AMD Ryzen Processors at SC23, Booth #1917, in the Colorado Convention Center, Denver, CO, November 13-16.

AMD EPYC 9004 processor features leadership performance and is optimized for a wide range of HPC, cloud-native computing and Generative AI workloads
TYAN offers server platforms supporting the AMD EPYC 9004 processors that provide up to 128 Zen 4C cores and 256 MB of L3 Cache for dynamic cloud-native applications with high performance, density, energy efficiency, and compatibility.