# fujitsu Published articles for fujitsu. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Fujitsu ready to sell its custom 'Monaka' Arm chip, maybe to rival server-makers DevFeed: [Fujitsu ready to sell its custom 'Monaka' Arm chip, maybe to rival server-makers]() Original publisher: [Read original article]() Author: Simon Sharwood Published: 2026-09-17T06:20:33Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Arm](), [Server]() Tags: [arm](), [fujitsu](), [hpc](), [inference](), [server](), [sovereign-cloud](), [supercomputer](), [systems]() ### AI overview The article reports that Fujitsu is preparing to sell its custom Monaka Arm chip to other server makers, with potential interest from cloud and inference-focused customers. ### Source excerpt Clouds, the sovereign-sensitive, and the inferencing-interested are also about to get sales calls ## Fujitsu MONAKA Server Brings 2nm 144-Core CPUs to Air-Cooled AI Inference, On Sale in November DevFeed: [Fujitsu MONAKA Server Brings 2nm 144-Core CPUs to Air-Cooled AI Inference, On Sale in November]() Original publisher: [Read original article]() Author: Lyle Smith Published: 2026-09-14T18:03:44Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [AI Inference](), [AI Infrastructure](), [Inference Performance](), [cpu](), [data centers](), [Confidential Computing](), [Arm](), [Hardware](), [NVLink](), [Nvidia]() Tags: [ai](), [ai-inference](), [ai-infrastructure](), [arm](), [benchmark](), [data-centers](), [enterprise](), [fujitsu](), [hardware](), [nvidia](), [nvlink]() ### AI overview Fujitsu is introducing MONAKA Servers built around its 2nm FUJITSU-MONAKA processor for AI inference in air-cooled data centers. The servers offer up to 144 CPU cores, matrix instructions, SVE2 vector processing, hardware-level confidential computing, and planned NVLink Fusion integration with NVIDIA GPUs. Fujitsu claims higher inference throughput and reduced cooling power consumption, but the article notes that supporting benchmark details are unavailable. ### Source excerpt Fujitsu is bringing its 2nm FUJITSU-MONAKA processor to AI infrastructure with a new server family designed to run AI inference in air-cooled data centers without requiring specialized liquid cooling. The MONAKA Server is designed, developed, and manufactured in Japan, with component and manufacturing traceability for sovereign AI deployments. The first MONAKA Servers will come in The post Fujitsu MONAKA Server Brings 2nm 144-Core CPUs to Air-Cooled AI Inference, On Sale in November appeared first on StorageReview.com. ## d-Matrix drinks the Nvidia Kool-Aid with NVLink Fusion and MGX rack designs DevFeed: [d-Matrix drinks the Nvidia Kool-Aid with NVLink Fusion and MGX rack designs]() Original publisher: [Read original article]() Author: Tobias Mann Published: 2026-09-10T13:00:00Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [NVLink](), [d-matrix](), [AI Platform]() Tags: [ai](), [ai-infrastructure](), [amazon](), [d-matrix](), [datacenter](), [fujitsu](), [gpu](), [nvidia](), [nvlink](), [startup](), [systems](), [xpu]() ### AI overview d-Matrix, an AI infrastructure startup, is described as joining other companies as an NVLink supporter. The headline also references NVLink Fusion and MGX rack designs. ### Source excerpt AI infrastructure startup joins Qualcomm, Arm, Marvell, Amazon, Fujitsu, and MediaTek as NVLink true believers ## Hot Chips 2026: Fujitsu's Monaka CPU DevFeed: [Hot Chips 2026: Fujitsu's Monaka CPU]() Original publisher: [Read original article]() Author: Chester Lam Published: 2026-08-26T01:20:30Z Content type: article Language: en Sources: [Chips and Cheese]() Topics: [cpu](), [Arm](), [Algorithm](), [intel]() Tags: [2026](), [algorithm](), [amd](), [arm](), [cpu](), [fujitsu](), [hpc](), [intel](), [processor]() ### AI overview The article examines Fujitsu's Monaka CPU, which is intended to improve on A64FX's limitations for general-purpose workloads while retaining strong HPC vector throughput. It discusses Monaka's three-level TAGE branch predictor and contrasts it with A64FX's perceptron-like predictor. ### Source excerpt Building on a long history of HPC-focused cores, and looking beyond HPC ## Reclaim Ceph Capacity Through CephFS Transcoding DevFeed: [Reclaim Ceph Capacity Through CephFS Transcoding]() Original publisher: [Read original article]() Author: Anthony D'Atri Published: 2026-07-01T00:00:00Z Content type: article Language: en Sources: [Ceph Blog]() Topics: [Transcodings](), [Software](), [data]() Tags: [2026](), [4k](), [article](), [blog-post](), [ceph](), [cephfs](), [dram](), [efficiency](), [en-article](), [en-blog-post](), [enterprise](), [enterprise-storage](), [filesystem](), [fujitsu](), [git](), [hardware](), [performance](), [software](), [space](), [storage](), [tentacle]() ### AI overview This article addresses rising storage demands and hardware costs by discussing CephFS capacity efficiency. It describes replicated pools, Erasure Coding, and Fast EC in Ceph Tentacle, while the title identifies CephFS transcoding as the article's focus. ### Source excerpt Data expands to fill available storage (and beyond)! ¶ It used to be that enterprise storage meant 6RU rackmount Fujitsu 2351 Eagles, each holding a mind-boggling 380 MiB of data: enough for a whole company! Today that 380 MiB can't even hold a 4k pickleball video. Enterprises, educational instutitions, and really just about anyone these days demand storage capacities that start on the order of hundreds of tebibytes and rapidly grow to pebibytes. As this article is written in the spring of 2026, the memory market, which includes DRAM, SSDs, and legacy HDDs, has experienced a dramatic escalation of pricing. It is not uncommon to be quoted a price four times what the same hardware cost a year ago, and there are signs that it is going to get worse before it gets better. What's a poor ammonite to do?? Cephers find themselves between the Charybdis of quotes approaching Disaster Area's hypermathematics and the Scylla of hungry users armed with torches and git forks. Git forks, pitchforks. Get it? Sigh. Tough room. Anyway... Short of nuking the site from orbit, how do we make everyone happy, or at worst mildly discontented? Efficiency! CephFS ¶ CephFS is a popular, highly available and scalable software-defined POSIX-style distributed filesystem that can easily store tens of pebibytes of precious data. Or, alternately, cat videos. Ceph deployments often begin small, with replicated pools for perceived performance needs. As the cluster grows to more nodes and more data, it may become feasible and desirable to switch to Erasure Coding (EC) to make more efficient use of raw capacity. An EC pool thus can require substantially less raw storage for a given amount of user data, or store gobs more user data on a given amount of raw capacity This EC overhead table presents efficiency (space amplification) factors for a spectrum of EC profiles. Replicated pools usually maintain three copies of data, so for comparison they manifest an overhead factor of 3.0. EC 4+2 or 6+3 presents a