Micron Technology, Inc., today demonstrated its continued NAND technology leadership by announcing that its 232-layer QLC NAND is now in mass production and shipping in select Crucial SSDs, in volume production to enterprise storage customers and sampling to OEM PC manufacturers in the Micron 2500 NMVe SSD.

Micron 232-layer QLC NAND delivers unparalleled performance for use cases across mobile, client, edge and data center storage by leveraging these important capabilities:

• Industry-leading bit-density, up to 28% more compact than leading competitors'1 latest products
• Industry-leading NAND I/O speeds of 2400 MT/s, a 50% improvement over the prior generation
• 24% better read performance over the prior generation
• 31% better programming performance over the prior generation

Google has officially joined the club of custom Arm-based, in-house-developed CPUs. As of today, Google's in-house semiconductor development team has launched the "Axion" CPU based on Arm instruction set architecture. Using the Arm Neoverse V2 cores, Google claims that the Axion CPU outperforms general-purpose Arm chips by 30% and Intel's processors by a staggering 50% in terms of performance. This custom silicon will fuel various Google Cloud offerings, including Compute Engine, Kubernetes Engine, Dataproc, Dataflow, and Cloud Batch. The Axion CPU, designed from the ground up, will initially support Google's AI-driven services like YouTube ads and Google Earth Engine. According to Mark Lohmeyer, Google Cloud's VP and GM of compute and machine learning infrastructure, Axion will soon be available to cloud customers, enabling them to leverage its performance without overhauling their existing applications.

Google's foray into custom silicon aligns with the strategies of its cloud rivals, Microsoft and Amazon. Microsoft recently unveiled its own AI chip for training large language models and an Arm-based CPU called Cobalt 100 for cloud and AI workloads. Amazon, on the other hand, has been offering Arm-based servers through its custom Graviton CPUs for several years. While Google won't sell these chips directly to customers, it plans to make them available through its cloud services, enabling businesses to rent and leverage their capabilities. As Amin Vahdat, the executive overseeing Google's in-house chip operations, stated, "Becoming a great hardware company is very different from becoming a great cloud company or a great organizer of the world's information."

At the Intel Vision 2024 customer and partner conference, Intel introduced the Intel Gaudi 3 accelerator to bring performance, openness and choice to enterprise generative AI (GenAI), and unveiled a suite of new open scalable systems, next-gen products and strategic collaborations to accelerate GenAI adoption. With only 10% of enterprises successfully moving GenAI projects into production last year, Intel's latest offerings address the challenges businesses face in scaling AI initiatives.

"Innovation is advancing at an unprecedented pace, all enabled by silicon - and every company is quickly becoming an AI company," said Intel CEO Pat Gelsinger. "Intel is bringing AI everywhere across the enterprise, from the PC to the data center to the edge. Our latest Gaudi, Xeon and Core Ultra platforms are delivering a cohesive set of flexible solutions tailored to meet the changing needs of our customers and partners and capitalize on the immense opportunities ahead."

The expansion of AI technology affects not only the production and demand for graphics cards but also the electricity grid that powers them. Data centers hosting thousands of GPUs are becoming more common, and the industry has been building new facilities for GPU-enhanced servers to serve the need for more AI. However, these powerful GPUs often consume over 500 Watts per single card, and NVIDIA's latest Blackwell B200 GPU has a TGP of 1000 Watts or a single kilowatt. These kilowatt GPUs will be present in data centers with 10s of thousands of cards, resulting in multi-megawatt facilities. To combat the load on the national electricity grid, US President Joe Biden's administration has been discussing with big tech to re-evaluate their power sources, possibly using smaller nuclear plants. According to an Axios interview with Energy Secretary Jennifer Granholm, she has noted that "AI itself isn't a problem because AI could help to solve the problem." However, the problem is the load-bearing of the national electricity grid, which can't sustain the rapid expansion of the AI data centers.

The Department of Energy (DOE) has been reportedly talking with firms, most notably hyperscalers like Microsoft, Google, and Amazon, to start considering nuclear fusion and fission power plants to satisfy the need for AI expansion. We have already discussed the plan by Microsoft to embed a nuclear reactor near its data center facility and help manage the load of thousands of GPUs running AI training/inference. However, this time, it is not just Microsoft. Other tech giants are reportedly thinking about nuclear as well. They all need to offload their AI expansion from the US national power grid and develop a nuclear solution. Nuclear power is a mere 20% of the US power sourcing, and DOE is currently financing a Holtec Palisades 800-MW electric nuclear generating station with $1.52 billion in funds for restoration and resumption of service. Microsoft is investing in a Small Modular Reactors (SMRs) microreactor energy strategy, which could be an example for other big tech companies to follow.

Omdia, an independent analyst and consultancy firm, has bestowed the title of "Kingmaker" on NVIDIA—thanks to impressive 2023 results in the data server market. The research firm predicts very buoyant numbers for the financial year of 2024—their February Cloud and Datacenter Market snapshot/report guesstimates that Team Green's data center GPU business group has the potential to rake in $87 billion of revenue. Omdia's forecast is based on last year's numbers—Jensen & Co. managed to pull in $34 billion, courtesy of an unmatched/dominant position in the AI GPU industry sector. Analysts have estimated a 150% rise in revenues for in 2024—the majority of popular server manufacturers are reliant on NVIDIA's supply of chips. Super Micro Computer Inc. CEO—Charles Liang—disclosed that his business is experiencing strong demand for cutting-edge server equipment, but complications have slowed down production: "once we have more supply from the chip companies, from NVIDIA, we can ship more to customers."

Demand for AI inference in 2023 accounted for 40% of NVIDIA data center GPU revenue—according Omdia's expert analysis—they predict further growth this year. Team Green's comfortable AI-centric business model could expand to a greater extent—2023 market trends indicated that enterprise customers had spent less on acquiring/upgrading traditional server equipment. Instead, they prioritized the channeling of significant funds into "AI heavyweight hardware." Omdia's report discussed these shifted priorities: "This reaffirms our thesis that end users are prioritizing investment in highly configured server clusters for AI to the detriment of other projects, including delaying the refresh of older server fleets." Late February reports suggest that NVIDIA H100 GPU supply issues are largely resolved—with much improved production timeframes. Insiders at unnamed AI-oriented organizations have admitted that leadership has resorted to selling-off of excess stock. The Omdia forecast proposes—somewhat surprisingly—that H100 GPUs will continue to be "supply-constrained" throughout 2024.

Tachyum today announced that it is bringing 1U and 2U platform solutions to market behind a strategy that ensures customers and partners will be able to quickly and easily test, benchmark and deploy Prodigy solutions across a broad range of supported applications and workloads. Tachyum's platform strategy includes offering evaluation platforms for early testing with OEMs and ODMs able to incorporate Prodigy into their own designs. The 2U evaluation platform, optimized to address the high-performance needs of HPC and Big AI, will be the first to sample in Q1 of 2025. The 1U platform, targeting applications such as AI inference and a wide range of cloud applications, follows in the second quarter.

Tachyum has chosen Chenbro as the chassis partner for the Prodigy evaluation platforms. Chenbro's standard chassis products provide solutions for both 1U and 2U that address Prodigy's high-performance requirements, allowing Tachyum to focus on the device and motherboard development. Both platforms will use the same 2-socket motherboard supporting 32 DDR5 DIMMs, as well as supporting storage integration for 16 E1.S SSDs. The evaluation platforms will initially launch as air-cooled infrastructures, allowing for fast, easy evaluations, with a 4-socket liquid-cooled platform arriving later.

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.

At MWC Barcelona 2024, Huawei launched the Huawei OptiXtrans DC908 Pro, a new platform for Data Center Interconnect (DCI) designed for the intelligent era. This innovative platform ensures the efficient, secure, and stable transmission of data between data centers (DCs), setting a new standard for DCI networks. As AI continues to proliferate across various service scenarios, the demand for foundation models has intensified, leading to an explosion in data volume. DCs are now operating at the petabyte level, and DCI networks have evolved from single-wavelength 100 Gbit/s to single-wavelength Tbit/s.

In response to the challenges posed by massive data transmission in the intelligent era, Huawei introduces the next-generation DCI platform, the Huawei OptiXtrans DC908 Pro. Compared to its predecessor, the DC908 Pro offers higher bandwidth, reliability, and intelligence.

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.

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

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

A collaboration including Intel, Dell Technologies, Nvidia and the Ohio Supercomputer Center (OSC), today introduces Cardinal, a cutting-edge high-performance computing (HPC) cluster. Purpose-built to meet the increasing demand for HPC resources in Ohio across research, education and industry innovation, particularly in artificial intelligence (AI).

AI and machine learning are integral tools in scientific, engineering and biomedical fields for solving complex research inquiries. As these technologies continue to demonstrate efficacy, academic domains such as agricultural sciences, architecture and social studies are embracing their potential. Cardinal is equipped with the hardware capable of meeting the demands of expanding AI workloads. In both capabilities and capacity, the new cluster will be a substantial upgrade from the system it will replace, the Owens Cluster launched in 2016.

Edged Energy, a subsidiary of Endeavour devoted to carbon neutral data center infrastructure, announced today the launch of its first four U.S. data centers, all designed for today's high-density AI workloads and equipped with advanced waterless cooling and ultra-efficient energy systems. The facilities will bring more than 300 MW of critical capacity with an industry-leading average Power Usage Effectiveness (PUE) of 1.15 portfolio-wide. Edged has nearly a dozen new data centers operating or under construction across Europe and North America and a gigawatt-scale project pipeline.

The first phase of this U.S. expansion includes a 168 MW campus in Atlanta, a 96 MW campus in the Chicago area, 36 MW in Phoenix and 24 MW in Kansas City. At a time of growing water scarcity where rivers, aquifers and watersheds are at dangerously low levels, it is more critical than ever that IT infrastructure conserve precious water resources. The new Edged facilities are expected to save more than 1.2 billion gallons of water each year compared to conventional data centers. "The rise of AI and machine learning is requiring more power, and often more water, to cool outdated servers. While traditional data centers struggle to adapt, Edged facilities are ready for the advanced computing of today and tomorrow without consuming any water for cooling," said Bryant Farland, Chief Executive Officer for Edged. "Sustainability is at the core of our platform. It is why our data centers are uniquely optimized for energy efficiency and water conservation. We are excited to be partnering with local communities to bring future-proof solutions to a growing digital economy."

Intel Corporation today reported fourth-quarter and full-year 2023 financial results. "We delivered strong Q4 results, surpassing expectations for the fourth consecutive quarter with revenue at the higher end of our guidance," said Pat Gelsinger, Intel CEO. "The quarter capped a year of tremendous progress on Intel's transformation, where we consistently drove execution and accelerated innovation, resulting in strong customer momentum for our products. In 2024, we remain relentlessly focused on achieving process and product leadership, continuing to build our external foundry business and at-scale global manufacturing, and executing our mission to bring AI everywhere as we drive long-term value for stakeholders."

David Zinsner, Intel CFO, said, "We continued to drive operational efficiencies in the fourth quarter, and comfortably achieved our commitment to deliver $3 billion in cost savings in 2023. We expect to unlock further efficiencies in 2024 and beyond as we implement our new internal foundry model, which is designed to drive greater transparency and accountability and higher returns on our owners' capital." For the full year, the company generated $11.5 billion in cash from operations and paid dividends of $3.1 billion.

KIOXIA brought a handful of its latest data center SSDs to the 2024 International CES. The lineup begins with the CD8P series designed for a balance in data-heat (frequency of access) and capacity, with applications that include CDN, compute, read-intensive use-cases, and data streaming. The drive comes in the 2.5-inch 18 mm U.2 and EDSFF E3.8 form-factors. The CD8P features a PCI-Express 5.0 x4 host interface, and comes in capacities ranging between 1.92 TB, going all the way up to 15.36 TB. Write endurance recommended is between 1 DWPD to 3 DWPD, so this really isn't a major write-intensive drive, for that, you'll need to pay attention to our next drive, the KIOXIA FL6.

The FL6 from KIOXIA is a scribe par none. It's aimed at write heavy applications such as server caching, and the hottest tiers in tiered storage; and Big Iron database machines. The FL6 comes in capacities of up to 3.2 TB, but offers a mammoth 60 DWPD write endurance. It comes in the 2.5-inch 18 mm form factor with PCI-Express 3.0 x4 interface. Security features include SIE, SED, and FIPS 140-2.

Intel Corporation today announced the appointment of Justin Hotard as executive vice president and general manager of its Data Center and AI Group (DCAI), effective Feb. 1. He joins Intel with more than 20 years of experience driving transformation and growth in computing and data center businesses, and is a leader in delivering scalable AI systems for the enterprise.

Hotard will become a member of Intel's executive leadership team and report directly to CEO Pat Gelsinger. He will be responsible for Intel's suite of data center products spanning enterprise and cloud, including its Intel Xeon processor family, graphics processing units (GPUs) and accelerators. He will also play an integral role in driving the company's mission to bring AI everywhere.

Alphawave Semi (LSE: AWE), a global leader in high-speed connectivity for the world's technology infrastructure, today announced successful collaboration with Keysight Technologies, a market-leading design, emulation, and test solutions provider, demonstrating interoperability between Alphawave Semi's PCIe 6.0 64 GT/s Subsystem (PHY and Controller) Device and Keysight PCIe 6.0 64 GT/s Protocol Exerciser, negotiating a link to the maximum PCIe 6.0 data rate. Alphawave Semi, already on the PCI-SIG 5.0 Integrators list, is accelerating next-generation PCIe 6.0 Compliance Testing through this collaboration.

Alphawave Semi's leading-edge silicon implementation of the new PCIe 6.0 64 GT/s Flow Control Unit (FLIT)-based protocol enables higher data rates for hyperscale and data infrastructure applications. Keysight and Alphawave Semi achieved another milestone by successfully establishing a CXL 2.0 link setting the stage for future cache coherency in the datacenter.

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.

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.

Supermicro, Inc., a Total IT Solution Manufacturer for AI, Cloud, Storage, and 5G/Edge, is announcing three new additions to its AMD-based H13 generation of GPU Servers, optimized to deliver leading-edge performance and efficiency, powered by the new AMD Instinct MI300 Series accelerators. Supermicro's powerful rack scale solutions with 8-GPU servers with the AMD Instinct MI300X OAM configuration are ideal for large model training.

The new 2U liquid-cooled and 4U air-cooled servers with the AMD Instinct MI300A Accelerated Processing Units (APUs) accelerators are available and improve data center efficiencies and power the fast-growing complex demands in AI, LLM, and HPC. The new systems contain quad APUs for scalable applications. Supermicro can deliver complete liquid-cooled racks for large-scale environments with up to 1,728 TFlops of FP64 performance per rack. Supermicro worldwide manufacturing facilities streamline the delivery of these new servers for AI and HPC convergence.

Today at the "Advancing AI" event, AMD was joined by industry leaders including Microsoft, Meta, Oracle, Dell Technologies, HPE, Lenovo, Supermicro, Arista, Broadcom and Cisco to showcase how these companies are working with AMD to deliver advanced AI solutions spanning from cloud to enterprise and PCs. AMD launched multiple new products at the event, including the AMD Instinct MI300 Series data center AI accelerators, ROCm 6 open software stack with significant optimizations and new features supporting Large Language Models (LLMs) and Ryzen 8040 Series processors with Ryzen AI.

"AI is the future of computing and AMD is uniquely positioned to power the end-to-end infrastructure that will define this AI era, from massive cloud installations to enterprise clusters and AI-enabled intelligent embedded devices and PCs," said AMD Chair and CEO Dr. Lisa Su. "We are seeing very strong demand for our new Instinct MI300 GPUs, which are the highest-performance accelerators in the world for generative AI. We are also building significant momentum for our data center AI solutions with the largest cloud companies, the industry's top server providers, and the most innovative AI startups ꟷ who we are working closely with to rapidly bring Instinct MI300 solutions to market that will dramatically accelerate the pace of innovation across the entire AI ecosystem."

TYAN, an industry leader in server platform design and a subsidiary of MiTAC Computing Technology Corporation, unveils an immersion cooling solution that delivering significant PUE (Power Usage Effectiveness) enhancement and showcases its latest server platforms powered by 4th Gen. Intel Xeon Scalable Processors targeting HPC, AI and Cloud Computing applications at SC23, Booth #1917.

Significant PUE Enhancement shown in an Immersion-cooling Tank vs. Conventional Air-cooling Operation Cabinet
The immersion cooling system live demonstrated at TYAN booth during SC23 is a 4U hybrid single phase tank enclosure equipped with 4 units of TYAN GC68A-B7136 cloud computing servers. Comparing to conventional Air-cooling operating cabinet, this hybrid immersion cooling system could offer huge improvement of PUE which makes it become an ideal mission-critical solution for the users aimed in energy-saving and green products.

The 62nd edition of the TOP500 reveals that the Frontier system retains its top spot and is still the only exascale machine on the list. However, five new or upgraded systems have shaken up the Top 10.

Housed at the Oak Ridge National Laboratory (ORNL) in Tennessee, USA, Frontier leads the pack with an HPL score of 1.194 EFlop/s - unchanged from the June 2023 list. Frontier utilizes AMD EPYC 64C 2GHz processors and is based on the latest HPE Cray EX235a architecture. The system has a total of 8,699,904 combined CPU and GPU cores. Additionally, Frontier has an impressive power efficiency rating of 52.59 GFlops/watt and relies on HPE's Slingshot 11 network for data transfer.

EK, the leading premium liquid cooling gear manufacturer, will soon provide a one-stop-shop purchasing option where System Integrators, Data Centers, AI/ML-focused companies, and similar customers can get full enterprise-grade custom liquid-cooling loops for their systems. The products belong to the EK-Pro line of professional liquid cooling solutions tailor-made for HPC systems and high-compute density applications. This means that System Integrators and Data Centers will be able to purchase full liquid cooling loops for their HPC servers and workstations and enjoy all the benefits that water-cooled HPC systems can provide.

The Advantages of Liquid Cooling for HPC Systems
High Performance Computing facilities use servers and workstations that leverage powerful GPUs, multithreaded CPUs, petabytes of RAM, and extensive storage space. All this computing power, despite modern advancements in manufacturing and power efficiency, generates tremendous amounts of heat. In fact, it is estimated that up to 40% of the total energy requirements of these facilities is spent on keeping the IT equipment within acceptable operating temperatures. Plus, the components that use conventional air cooling tend to underperform and have shorter lifespans.

Dell Technologies, Intel and the University of Cambridge announce the deployment of the co-designed Dawn Phase 1 supercomputer. Leading technical teams built the U.K.'s fastest AI supercomputer that harnesses the power of both artificial intelligence (AI) and high performance computing (HPC) to solve some of the world's most pressing challenges. This sets a clear way forward for future U.K. technology leadership and inward investment into the U.K. technology sector. Dawn kickstarts the recently launched U.K. AI Research Resource (AIRR), which will explore the viability of associated systems and architectures. Dawn brings the U.K. closer to reaching the compute threshold of a quintillion (1018) floating point operations per second - one exaflop, better known as exascale. For perspective: Every person on earth would have to make calculations 24 hours a day for more than four years to equal a second's worth of processing power in an exascale system.

"Dawn considerably strengthens the scientific and AI compute capability available in the U.K., and it's on the ground, operational today at the Cambridge Open Zettascale Lab. Dell PowerEdge XE9640 servers offer a no-compromises platform to host the Intel Data Center GPU Max Series accelerator, which opens up the ecosystem to choice through oneAPI. I'm very excited to see the sorts of early science this machine can deliver and continue to strengthen the Open Zettascale Lab partnership between Dell Technologies, Intel and the University of Cambridge, and further broaden that to the U.K. scientific and AI community," said Adam Roe, EMEA HPC technical director at Intel.

AMD (NASDAQ:AMD) today announced revenue for the third quarter of 2023 of $5.8 billion, gross margin of 47%, operating income of $224 million, net income of $299 million and diluted earnings per share of $0.18. On a non-GAAP basis, gross margin was 51%, operating income was $1.3 billion, net income was $1.1 billion and diluted earnings per share was $0.70.

"We delivered strong revenue and earnings growth driven by demand for our Ryzen 7000 series PC processors and record server processor sales," said AMD Chair and CEO Dr. Lisa Su. "Our data center business is on a significant growth trajectory based on the strength of our EPYC CPU portfolio and the ramp of Instinct MI300 accelerator shipments to support multiple deployments with hyperscale, enterprise and AI customers."