Skip to main content

Intel Xeon processors up to 22 core, even for cards X99 motherboards?

Intel is preparing the debut of new processors Xeon E5-2600 v4 family, better known by the codename of Broadwell-EP code. These solutions are intended to server systems up to 2 sockets, able to offer a large number of cores for each physical CPU and for this reason ideal for use within destined to datacenter systems.

The marketing of these CPUs is expected during the first quarter of 2016, with versions that should reach as a maximum 22 physical cores in the model Xeon E5-2699 v4. Some Broadwell-EP processors of new generation are, however, already appeared online, such as this model with 18-core architecture and frequency of 2.2GHz clock that was sold on Ebay.

That processors not yet officially made available on the market may appear in online sales, particularly in parallel channels as a sale on Ebay, it is not surprising. The most interesting information, however, concerns the compatibility specified for this processor, and presumably for other Xeon E5-2600 v4 family as well as with Intel server platforms that CPU is in fact also be used in conjunction with desktop motherboards, single-socket based on chipset Intel X99. Below is a list of models that are able to use this processor, as indicated on the sales page published on Ebay:

Supermicro: X10SR series with R 2.0 BIOS, X10DR series with BIOS R 2.0
Asus: X99 series with BIOS 2101, Sabertooth X99 with BIOS 2101, Z10PE series with BIOS 3101
Gigabyte: GA-X99 series with BIOS F20

The list is not exhaustive, so it is possible that with the right bios update many other motherboards with the Intel X99 chipset can use one of these processors. The thing indeed is not surprising because the future of the CPU Intel Core family-based architecture Broadwell-E, the expected official debut in the coming months, they share with the proposals Xeon E5-2600 v4 the same basic architecture as well as the socket connection with the motherboard.

So we will see desktop systems on X99 motherboards paired with Intel Xeon processors with a large number of cores, up to the limit to 22? Technically it seems possible, but it is said that to become a reality if not for a limited number of systems. As the number of integrated cores in a socket decreases the maximum clock frequency, so as to leave adequate margin for processor TDP, and to use this desktop can be a limitation. For no other solutions for the Intel enthusiast home users come to a maximum of 8 cores at the present time and will go up to 10, but not beyond, for CPU Core i7 Broadwell-E market debut next family.

Comments

Popular posts from this blog

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT