IBM and Intel announced a global collaboration to deploy Intel Gaudi 3 AI accelerators as a service on IBM Cloud. This offering, which is expected to be available in early 2025, aims to help more cost-effectively scale enterprise AI and drive innovation underpinned with security and resiliency. This collaboration will also enable support for Gaudi 3 within IBM's watsonx AI and data platform. IBM Cloud is the first cloud service provider (CSP) to adopt Gaudi 3, and the offering will be available for both hybrid and on-premise environments.

"Unlocking the full potential of AI requires an open and collaborative ecosystem that provides customers with choice and accessible solutions. By integrating Gaudi 3 AI accelerators and Xeon CPUs with IBM Cloud, we are creating new AI capabilities and meeting the demand for affordable, secure and innovative AI computing solutions," said Justin Hotard, Intel executive vice president and general manager of the Data Center and AI Group.

Ola, an Indian automotive company, is venturing into AI chip development with its artificial intelligence branch, Krutrim, planning to launch India's first domestically designed AI chip by 2026. The company is leveraging ARM architecture for this initiative. CEO Bhavish Aggarwal emphasizes the importance of India developing its own AI technology rather than relying on external sources.

While detailed specifications are limited, Ola claims these chips will offer competitive performance and efficiency. For manufacturing, the company plans to partner with a global tier I or II foundry, possibly TSMC or Samsung. "We are still exploring foundries, we will go with a global tier I or II foundry. Taiwan is a global leader, and so is Korea. I visited Taiwan a couple of months back and the ecosystem is keen on partnering with India," Aggarwal said.

Supermicro, Inc., a Total IT Solution Provider for AI, Cloud, Storage, and 5G/Edge, is announcing a new addition to its SuperCluster portfolio of plug-and-play AI infrastructure solutions for the NVIDIA Omniverse platform to deliver the high-performance generative AI-enhanced 3D workflows at enterprise scale. This new SuperCluster features the latest Supermicro NVIDIA OVX systems and allows enterprises to easily scale as workloads increase.

"Supermicro has led the industry in developing GPU-optimized products, traditionally for 3D graphics and application acceleration, and now for AI," said Charles Liang, president and CEO of Supermicro. "With the rise of AI, enterprises are seeking computing infrastructure that combines all these capabilities into a single package. Supermicro's SuperCluster features fully interconnected 4U PCIe GPU NVIDIA-Certified Systems for NVIDIA Omniverse, with up to 256 NVIDIA L40S PCIe GPUs per scalable unit. The system helps deliver high performance across the Omniverse platform, including generative AI integrations. By developing this SuperCluster for Omniverse, we're not just offering a product; we're providing a gateway to the future of application development and innovation."

Microsoft has agreed to pay €20 million to settle an antitrust complaint filed by Cloud Infrastructure Services Providers in Europe (CISPE), a European cloud providers association. The deal aims to address concerns about Microsoft's cloud product licensing practices, also, Microsoft will develop Azure Stack HCI for European cloud providers and compensate CISPE members for recent licensing costs. On the other side, CISPE will withdraw its EU complaint, cease supporting similar global complaints, and establish an independent European Cloud Observatory to monitor the product's development.

The settlement excludes major providers like AWS, Google Cloud, and AliCloud. While CISPE hails this as a victory, critics argue it's insufficient. AWS spokesperson Alia Ilyas said that Microsoft was only making "limited concessions for some CISPE members that demonstrate there are no technical barriers preventing it from doing what's right for every cloud customer". Google Cloud suggests more action is needed against anti-competitive behavior, and UK-based cloud company Civo's CEO Mark Boost questions the deal's long-term impact on the industry. Boost stated, "However they position it, we cannot shy away from what this deal appears to be: a global powerful company paying for the silence of a trade body, and avoiding having to make fundamental changes to their software licensing practices on a global basis". Despite resolving the CISPE complaint, Microsoft faces ongoing regulatory scrutiny worldwide. The UK's Competition and Markets Authority launched a cloud computing market investigation in October 2023 while the US Federal Trade Commission is conducting two separate probes involving Microsoft. The first FTC investigation, initiated in January 2024, examines AI services and partnerships of major tech companies, including Microsoft, Amazon, Alphabet, Anthropic, and OpenAI. The second focuses specifically on Microsoft, OpenAI, and Nvidia, assessing their impact and behavior in the AI sector.

Broadcom Inc. today unveiled the latest updates to VMware Cloud Foundation (VCF), the company's flagship private cloud platform. The latest advancements in VCF support customers' digital innovation with faster infrastructure modernization, improved developer productivity, and better cyber resiliency and security with low total cost of ownership.

"VMware Cloud Foundation is the industry's first private-cloud platform to offer the combined power of public and private clouds with unmatched operational simplicity and proven total cost of ownership value," said Paul Turner, Vice President of Products, VMware Cloud Foundation Division, Broadcom. "With our latest release, VCF is delivering on key requirements driven by customer input. The new VCF Import functionality will be a game changer in accelerating VCF adoption and improving time to value. We are also delivering a set of new capabilities that helps IT more quickly meet the needs of developers without increasing business risk. This latest release of VCF puts us squarely on the path to delivering on the full promise of VCF for our customers."

Liftr Insights, a pioneer in market intelligence driven by unique data, revealed today that it detected AWS's recent launch of an 896-core instance type, surpassing the previous highest core counts by any cloud provider. This is important to companies looking to improve performance. If they are not using these, their competitors might be.

Liftr data show the previous AWS high core-count instance had 448 cores and first appeared in May 2021. Prior to that, the largest instance available in the six largest cloud providers (representing over 75% of the public cloud space) was a 384-core instance first offered by Azure in 2019.

GIGABYTE Technology, Giga Computing, a subsidiary of GIGABYTE and an industry leader in servers and industrial motherboards, today launched products supporting Intel Xeon 6 Processor (LGA 4710) with Efficient-cores in a single or dual socket configuration. GIGABYTE's new products span its entire enterprise portfolio from GPU servers to liquid cooling servers to motherboards. With Intel's new processor roadmap addressing a broad range of compute needs in the server market, Efficient-cores (E-cores) and Performance-cores (P-cores) have their unique advantages, and both are supported on this platform. E-cores are available today, with P-core products becoming available in the future. The solutions within have distinct advantages for cloud, networking and media, and data services workloads that value consistent performance, greater energy efficiency, and dense rack and core density.

GIGABYTE's enterprise portfolio for the Intel Xeon 6 processor spans GPU servers, direct liquid cooling (DLC) servers, multi-node servers, general purpose motherboards and servers, and edge servers. By releasing a wide range of servers, data centers can quickly integrate it to achieve dynamic goals such as in GIGA POD, a rack-scale supercomputing AI infrastructure by GIGABYTE. The new Xeon based servers by GIGABYTE are also highly compatible with cloud-native software stacks for portability and consistency in containerized applications in distributed systems.

MiTAC Computing Technology and its server brand TYAN, the leading manufacturer in server platform design worldwide, unveil their new server systems and motherboards optimized for today's AI, HPC, cloud, and enterprise workloads at COMPUTEX 2024, Booth # M1120 in Taipei, Taiwan from June 4 to June 7. Harnessing the power of the latest Intel Xeon 6 processor and 4th and 5th Gen Intel Xeon Scalable processors, these solutions deliver cutting-edge performance.

"For over a decade, MiTAC has worked with Intel at the forefront of server technology innovation, consistently delivering cutting-edge solutions tailored for AI and high-performance computing (HPC). The integration of Intel's latest Xeon 6 processors into our MiTAC and TYAN server platforms transforms computational capabilities, significantly enhancing AI performance, boosting efficiency, and scaling cloud operations. These advancements empower our customers with a competitive edge through superior performance and optimized total cost of ownership." said Rick Hwang, President of MiTAC Computing Technology Corporation.

MSI, a leading global server provider, will introduce its latest server platforms based on the 4th Gen AMD EPYC processors at Computex 2024, booth #M0806 in Taipei, Taiwan, from June 4-7. These new platforms, designed for growing cloud-native environments, deliver a combination of performance and efficiency for data centers.

"Leveraging the advantages of 4th Gen AMD EPYC processors, MSI's latest server platforms feature scalability and flexibility with new adoption of CXL technology and DC-MHS architecture, helping data centers achieve the most scalable cloud applications while delivering leading performance," said Danny Hsu, General Manager of Enterprise Platform Solutions.

Giga Computing, a subsidiary of GIGABYTE and an industry leader in AI servers and green computing, today announced its participation in COMPUTEX and unveiling of solutions tackling complex AI workloads at scale, as well as advanced cooling infrastructure that will lead to greater energy efficiency. Additionally, to support innovations in accelerated computing and generative AI, GIGABYTE will have NVIDIA GB200 NVL72 systems available in Q1 2025. Discussions around GIGABYTE products will be held in booth #K0116 in Hall 1 at the Taipei Nangang Exhibition Center. As an NVIDIA-Certified System provider, GIGABYTE servers also support NVIDIA NIM inference microservices, part of the NVIDIA AI Enterprise software platform.

Redefining AI Servers and Future Data Centers
All new and upcoming CPU and accelerated computing technologies are being showcased at the GIGABYTE booth alongside GIGA POD, a rack-scale AI solution by GIGABYTE. The flexibility of GIGA POD is demonstrated with the latest solutions such as the NVIDIA HGX B100, NVIDIA HGX H200, NVIDIA GH200 Grace Hopper Superchip, and other OAM baseboard GPU systems. As a turnkey solution, GIGA POD is designed to support baseboard accelerators at scale with switches, networking, compute nodes, and more, including support for NVIDIA Spectrum -X to deliver powerful networking capabilities for generative AI infrastructures.

AMD, Broadcom, Cisco, Google, Hewlett Packard Enterprise (HPE), Intel, Meta and Microsoft today announced they have aligned to develop a new industry standard dedicated to advancing high-speed and low latency communication for scale-up AI systems linking in Data Centers.

Called the Ultra Accelerator Link (UALink), this initial group will define and establish an open industry standard that will enable AI accelerators to communicate more effectively. By creating an interconnect based upon open standards, UALink will enable system OEMs, IT professionals and system integrators to create a pathway for easier integration, greater flexibility and scalability of their AI-connected data centers.

Opera, the browser innovator, today announced a collaboration with Google Cloud to integrate Gemini models into its Aria browser AI. Aria is powered by Opera's multi-LLM Composer AI engine, which allows the Norwegian company to curate the best experiences for its users based on their needs.

Opera's Aria browser AI is unique as it doesn't just utilize one provider or LLM. Opera's Composer AI engine processes the user's intent and can decide which model to use for which task. Google's Gemini model is a modern, powerful, and user-friendly LLM that is the company's most capable model yet. Thanks to this integration, Opera will now be able to provide its users with the most current information, at high performance.

SonicFi Inc., a brand new company aiming to provide solutions for SMB, today makes a debut of its Ronto cloud network product series in CommunicAsia 2024 in Singapore, making a proactive entry into the small and medium-sized enterprise market. Ronto SMB solutions include Controller, Indoor Wall Mount Access Point, Indoor Ceiling Mount Access Point, Managed Switch, and Outdoor Long Range Fixed Wireless Access Point. Combined with their in-house developed cloud platform and AI driven optimization features, these offerings provide an excellent and cost-effective network solution for small and medium-sized enterprises, factories, SI vendors, featuring cloud-based intelligent management.

Ronto products feature an in-house developed cloud platform, incorporating management functionalities essential for small and medium-sized enterprise networks. Through intuitive mobile applications, network deployment and management are streamlined, providing simple, intelligent, and secure networking solutions for small and medium-sized businesses.

Whether looking for new adventures, epic storylines or games to play with a friend, GeForce NOW members are covered. Start off with the much-anticipated sequel to the Men of War franchise or cozy up with some adorable pals in Palworld, both part of five games GeForce NOW is bringing to the cloud this week.

No Guts, No Glory
Get transported to the battlefields of World War II with historical accuracy and attention to detail in Men of War II, the newest entry in the real-time strategy series from Fulqrum Publishing. The game features an extensive roster of units, including tanks, airplanes and infantry. With advanced enemy AI and diverse gameplay modes, Men of War II promises an immersive experience for both history enthusiasts and casual gamers. Gear up, strategize and prepare to rewrite history. Get an extra fighting chance with a GeForce NOW Ultimate membership, which streams at up to 4K resolution and provides longer gaming sessions and faster access to games over a free membership.

The 63rd edition of the TOP500 reveals that Frontier has once again claimed the top spot, despite no longer being the only exascale machine on the list. Additionally, a new system has found its way into the Top 10.

The Frontier system at Oak Ridge National Laboratory in Tennessee, USA remains the most powerful system on the list with an HPL score of 1.206 EFlop/s. The system has a total of 8,699,904 combined CPU and GPU cores, an HPE Cray EX architecture that combines 3rd Gen AMD EPYC CPUs optimized for HPC and AI with AMD Instinct MI250X accelerators, and it relies on Cray's Slingshot 11 network for data transfer. On top of that, this machine has an impressive power efficiency rating of 52.93 GFlops/Watt - putting Frontier at the No. 13 spot on the GREEN500.

Personal computers (PCs) have been used as the major productivity device for several decades. But now we are entering a new era of PCs based on artificial intelligence (AI), thanks to the boom witnessed in generative AI (GenAI). We believe the inventory correction and demand weakness in the global PC market have already normalized, with the impacts from COVID-19 largely being factored in. All this has created a comparatively healthy backdrop for reshaping the PC industry. Counterpoint estimates that almost half a billion AI laptop PCs will be sold during the 2023-2027 period, with AI PCs reviving the replacement demand.

Counterpoint separates GenAI laptop PCs into three categories - AI basic laptop, AI-advanced laptop and AI-capable laptop - based on different levels of computational performance, corresponding use cases and the efficiency of computational performance. We believe AI basic laptops, which are already in the market, can perform basic AI tasks but not completely GenAI tasks and, starting this year, will be supplanted by more AI-advanced and AI-capable models with enough TOPS (tera operations per second) powered by NPU (neural processing unit) or GPU (graphics processing unit) to perform the advanced GenAI tasks really well.

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."

Cerebras Systems, the pioneer in accelerating generative AI, and G42, the Abu Dhabi-based leading technology holding group, today announced the build of Condor Galaxy 3 (CG-3), the third cluster of their constellation of AI supercomputers, the Condor Galaxy. Featuring 64 of Cerebras' newly announced CS-3 systems - all powered by the industry's fastest AI chip, the Wafer-Scale Engine 3 (WSE-3) - Condor Galaxy 3 will deliver 8 exaFLOPs of AI with 58 million AI-optimized cores. The Cerebras and G42 strategic partnership already delivered 8 exaFLOPs of AI supercomputing performance via Condor Galaxy 1 and Condor Galaxy 2, each amongst the largest AI supercomputers in the world. Located in Dallas, Texas, Condor Galaxy 3 brings the current total of the Condor Galaxy network to 16 exaFLOPs.

"With Condor Galaxy 3, we continue to achieve our joint vision of transforming the worldwide inventory of AI compute through the development of the world's largest and fastest AI supercomputers," said Kiril Evtimov, Group CTO of G42. "The existing Condor Galaxy network has trained some of the leading open-source models in the industry, with tens of thousands of downloads. By doubling the capacity to 16exaFLOPs, we look forward to seeing the next wave of innovation Condor Galaxy supercomputers can enable." At the heart of Condor Galaxy 3 are 64 Cerebras CS-3 Systems. Each CS-3 is powered by the new 4 trillion transistor, 900,000 AI core WSE-3. Manufactured at TSMC at the 5-nanometer node, the WSE-3 delivers twice the performance at the same power and for the same price as the previous generation part. Purpose built for training the industry's largest AI models, WSE-3 delivers an astounding 125 petaflops of peak AI performance per chip.

ZOTAC Technology Limited, a global leader in innovative technology solutions, expands its product portfolio with the GPU Server Series. The first series of products in ZOTAC's Enterprise lineup offers organizations affordable and high-performance computing solutions for a wide range of demanding applications, from core-to-edge inferencing and data visualization to model training, HPC modeling, and simulation.

The ZOTAC series of GPU Servers comes in a diverse range of form factors and configurations, featuring both Tower Workstations and Rack Mount Servers, as well as both Intel and AMD processor configurations. With support for up to 10 GPUs, modular design for easier access to internal hardware, a high space-to-performance ratio, and industry-standard features like redundant power supplies and extensive cooling options, ZOTAC's enterprise solutions can ensure optimal performance and durability, even under sustained intense workloads.

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.

The AI infrastructure of today is mostly fueled by the expansion that relies on GPU-accelerated servers. Google, one of the world's largest hyperscalers, has noted that CPUs are still a leading compute for AI/ML workloads, recorded on their Google Cloud Services cloud internal analysis. During the TechFieldDay event, a speech by Brandon Royal, product manager at Google Cloud, explained the position of CPUs in today's AI game. The AI lifecycle is divided into two parts: training and inference. During training, massive compute capacity is needed, along with enormous memory capacity, to fit ever-expanding AI models into memory. The latest models, like GPT-4 and Gemini, contain billions of parameters and require thousands of GPUs or other accelerators working in parallel to train efficiently.

On the other hand, inference requires less compute intensity but still benefits from acceleration. The pre-trained model is optimized and deployed during inference to make predictions on new data. While less compute is needed than training, latency and throughput are essential for real-time inference. Google found out that, while GPUs are ideal for the training phase, models are often optimized and run inference on CPUs. This means that there are customers who choose CPUs as their medium of AI inference for a wide variety of reasons.

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.

Indian data center operator Yotta is reportedly set to spend big with another placed with NVIDIA—a recent Reuters article outlines a $500 million purchase of Team Green AI GPUs. Yotta is in the process of upgrading its AI Cloud infrastructure, and their total tally for this endeavor (involving Hopper and newer Grace Hopper models) is likely to hit $1 billion. An official company statement from December confirmed the existence of an extra procurement of GPUs, but they did not provide any details regarding budget or hardware choices at that point in time. Reuters contacted Sunil Gupta, Yotta's CEO, last week for a comment on the situation. The co-founder elaborated: "that the order would comprise nearly 16,000 of NVIDIA's artificial intelligence chips H100 and GH200 and will be placed by March 2025."

Team Green is ramping up its embrace of the Indian data center market, as US sanctions have made it difficult to conduct business with enterprise customers in nearby Chinese territories. Reuters state that Gupta's firm (Yotta) is: "part of Indian billionaire Niranjan Hiranandani's real estate group, (in turn) a partner firm for NVIDIA in India and runs three data centre campuses, in Mumbai, Gujarat and near New Delhi." Microsoft, Google and Amazon are investing heavily in cloud and data centers situated in India. Shankar Trivedi, an NVIDIA executive, recently attended Vibrant Gujarat Global Summit—the article's reporter conducted a brief interview with him. Trivedi stated that Yotta is targeting a March 2024 start for a new NVIDIA-powered AI data center located in the region's tech hub: Gujarat International Finance Tec-City.

NAS major Synology showcased its latest consumer NAS, personal cloud, and surveillance solutions at the 2024 International CES. Starting things off are the company's latest TC500 and BC500 high-resolution wired cameras; and the CC400W wireless cameras, enhanced with AI. This may sound nebulous, but upon detecting movement, the cameras automatically move to zoom in on faces or vehicle license plates, and automatically dial up video resolution and probably bitrate (image quality). The wired cameras come with 5 MP sensors, while the wireless ones have 4 MP (capable of 1440p @ 30 FPS). Each of these comes with a dark light that can illuminate up to 30 m. They also come with microSD slots, to in the event of network failures, recording continues onto a memory card. You don't need a Synology Surveillance Station device license to use these.

Moving on to the stuff Synology is best known for, NAS, and we have the upgraded DiskStation DS1823xs+, an 8-bay business grade NAS with a combined RW throughput of 3100 MB/s reads, with 2600 MB/s writes; over 173,000 IOPS random reads, and over 80,800 IOPS random writes. The main networking interface is a 10 GbE, but with an additional PCIe Gen 3 x4 slot to drop in more NICs. The NAS can pair with DX517 expansion units over USB 3.1 to scale up to 18 drives. The DS423+ is a compact 4-bay NAS powered by a Celeron J4125 quad-core CPU, 2 GB of RAM, and room for two M.2-2280 NVMe SSDs besides the four 3.5-inch HDDs. The maximum rated throughput is still around 226 MB/s, but the main networking interfaces are two 10 GbE. The DS224+ is nearly the same device, but with just two 3.5-inch bays, and two 2.5 GbE interfaces.