|Haswell-E| 8-cores, X99 chipset, DDR4 memory

By Muhammad Farrukh
in Hardware Hangout

 Share

Recommended Posts

Grand Master

Muhammad Farrukh

Posted
Posted

Intel is going to launch an 8 core CPU series for desktops in 2014 for the enthusiast grade Haswell-E platform. all eyes turn to the 2014 Haswell-E enthusiast grade platform. The world semiconductor leader will be stepping up its game a notch and offer an 8 core desktop CPU for the first time (the biggest leap since the introduction of 6 core CPUs a couple of years back). Perhaps this sudden urge to deliver 8 cores comes with the fact that Haswell will not be succeeded by Broadwell 14nm Tick in 2014.

As vr zone reports: With Haswell-E, Intel will do away with 4-core configurations of these GPU-less dies and offer users a choice of 6 and 8 core CPUs, with up to 20 MB of L3 cache. Of course, Hyper Threading isn?t going anywhere giving the CPU a maximum of 16 logical cores. Maximum TDP for the platform will lie in the range of 130W to 14oW and the processors itself will be built on 22nm 2nd generation Hi-k process.

index.php?ct=news&action=file&id=2853

Let?s speculate performance, Haswell-E, owing to 2 more cores (4 more threads) compared to the upcoming Ivy Bridge-E platform, and taking in all architectural enhancements into consideration, should perform between 33-50% better (best case scenario) than the 2013 enthusiast platform. Finally, a real new performance part by Intel. Of course, this won?t be a game changer as AMD continues to be virtually non-existent in competing with Intel on CPU performance (and that scenario will most likely not change in the near future as well, we?re talking AMD Steamroller here).

index.php?ct=news&action=file&id=2854

Wellsburg Chipset

With Haswell-E, Intel will introduce their new Wellsburg family of motherboard chipsets. The biggest new feature (and it?s really big) is the support for DDR4 RAM clocked up to 2133 MHz (of course, you can overclock and take it much further than that). The Wellsburg X-PCH will support a number of connectivity options:

  • Up to 6 x USB 3.0 ports
  • Up to 8 x USB 2.0 ports
  • Up to 10 x SATA 6 Gbps ports
  • Integrated Clock support
  • TDP of 6.5W

Quad-Channel DDR4 RAM

Here?s some more information related to RAM support, Wellsburg will only allow you to install DDR4 type RAM on the motherboard, with speed configurations being in steps of 1333 MHz, 1600 MHz, 1866 MHz and 2133 MHz. Something tells us that 2133 MHz will be the minimum speed of DDR4 kits that go on sale next year (enthusiasts won?t be going for any less anyway).

Quad-channel DDR4 RAM along with increased frequencies could lead to a near 50% increase in bandwidth compared to the older, triple-channel configuration which housed much more conservative RAM clock speeds.

The chipset will support low voltage (1.2V) DDR4 RAM kits (must be the 1333 MHz ones). The DIMM connector now has 288 pins (as opposed to 284 from earlier), the 4 additional pins added to support NVDIMM modules. Good news is that both 284/288 pin RAM modules will be usable on motherboards with the 284 pin connector or the new 288 pin connector.

index.php?ct=news&action=file&id=2857

LGA 2011-3 Socket

Haswell-E will bring a new version of your same old LGA 2011 socket with it. Dubbed LGA 2011-3, the derived socket has the same dimensions and ball pattern pitch as LGA 2011. Basically, the number of pins remains the same while their layout changes. According to the slides, the new design is more efficient as per Intel?s research, and additional wings in the LGA 2011-3 socket help improve package handling.

index.php?ct=news&action=file&id=2858

Guru3D.....

Mentor

SharpGreen

Posted
Posted

will haswells be in laptops at anytime in the future?

They already are. For one, Apple crap already has them. Plus I've seen a few really high end portable desktops (my term for desktop replacement style laptops) with haswell core i7s that were released the same day as haswell.

This topic is now closed to further replies.
 Share
Go to topic listing

  • Posts

    • GitHub removes manual model selection from Copilot free and student plans

      By Karthik Mudaliar · Posted

      GitHub removes manual model selection from Copilot free and student plans by Karthik Mudaliar GitHub is removing the ability to manually select an AI model from its Copilot Free and Student plans, making its automatic routing system the default and only way to choose a model. This means users on these tiers will no longer be able to deliberately select a particular OpenAI, Anthropic, Google, or Microsoft model for a task. In its announcement, GitHub said Copilot Auto will dynamically choose what it considers the best model for each request. Free and Student accounts will retain access to models from multiple families, although the available selection will continue to depend on the restrictions attached to each plan. GitHub did not identify a fixed pool of models that Auto will always use, and its documentation warns that model availability can change over time. GitHub describes Auto as more than a random fallback system. On supported surfaces, its task-optimization technology evaluates the complexity of a request alongside real-time information about model health and availability. Straightforward prompts can be routed to faster and less expensive models, while more demanding coding tasks may be sent to higher-cost reasoning models. The company says this approach should reduce rate limiting, latency, and failed requests. Auto generally selects one model along natural prompt-caching boundaries rather than repeatedly switching models during a session, as GitHub found that mid-session changes increased costs without producing sufficient improvements in output quality. Users can still check which model generated a response. In Copilot Chat, the information appears when hovering over an answer, while Copilot CLI and the Copilot cloud agent display the selected model alongside their output. Auto is available in Copilot Chat, Copilot CLI, and the cloud agent, with the exact implementation and release status varying between supported development environments. The latest restriction follows several months of adjustments to Copilot’s individual plans. GitHub temporarily halted new Pro, Pro+, and Student subscriptions in April as it sought to manage demand and service reliability. It later introduced token-based billing and began gradually reopening individual-plan registrations on June 17. Alongside the picker change, GitHub is retiring the “Preview” label from Microsoft-developed models. It argues that the label is no longer necessary because Auto handles model routing and models are continuously updated behind the scenes.
    • Grand Theft Auto VI pricing revealed alongside Ultimate Edition and pre-loading details

      By thartist · Posted

      Look up 'inflation' kid. Ask an AI for the numbers between both games.
    • Google reportedly set to lose two key Gemini and DeepMind researchers to Anthropic

      By Karthik Mudaliar · Posted

      Google reportedly set to lose two key Gemini and DeepMind researchers to Anthropic by Karthik Mudaliar Google is reportedly preparing to lose two more prominent artificial intelligence researchers, with Gemini contributors Jonas Adler and Alexander Pritzel planning to join rival AI developer Anthropic. According to a report from Bloomberg, both researchers are viewed internally as important contributors to Google’s flagship Gemini model family. Adler worked on Google’s AI coding efforts, while Pritzel was involved in the process used to train AI systems. Neither company has publicly confirmed the moves. The report also does not say when the researchers will formally leave Google or what positions they will hold at Anthropic. Training a large AI model requires decisions covering its architecture, data preparation, distributed computing infrastructure, and post-training methods that shape how the finished system behaves. Researchers with experience operating at the scale of Gemini are consequently difficult to replace quickly. Both Adler and Pritzel have previously contributed to Google DeepMind’s scientific research as well. They are listed among the authors of the company’s work on expanding AlphaFold protein-structure predictions across entire proteomes, alongside AlphaFold researchers including John Jumper. The reported departures arrive shortly after another important change within Google’s Gemini organization. Gemini co-lead Noam Shazeer is leaving Google for OpenAI, after returning to the search company in 2024 through its deal with Character.AI. Shazeer is particularly well known as one of the authors of the Transformer paper, whose architecture became the foundation for most modern large language models. Anthropic, meanwhile, has been recruiting recognizable figures from other leading laboratories. OpenAI co-founder and former Tesla AI director Andrej Karpathy joined Anthropic’s pre-training team in May. His move, followed by the reported recruitment of several Google researchers, suggests Anthropic is strengthening the research teams responsible for the core capabilities of future Claude models rather than concentrating solely on product and enterprise sales. The competition is complicated by the companies’ extensive commercial relationships. Anthropic competes directly with Google’s Gemini models, but it also relies on Google as an infrastructure partner. In April, Anthropic announced an expanded agreement with Google and Broadcom covering multiple gigawatts of next-generation Tensor Processing Unit capacity. TPUs are Google-designed accelerators used to train and run large AI models. via Bloomberg
    • Researchers claim Microsoft's quantum breakthrough is flawed by basic Python errors

      By Primey_ · Posted

      This article makes my head hurt. Lots of confusing words
    • Google adds built-in computer control to Gemini 3.5 flash

      By Karthik Mudaliar · Posted

      Google adds built-in computer control to Gemini 3.5 flash by Karthik Mudaliar Google has added Computer Use as a built-in tool in Gemini 3.5 Flash, giving developers a single model that can reason about a task and operate graphical interfaces across browsers, mobile devices, and desktop environments. The feature is available through the Gemini API and Google’s Gemini Enterprise Agent Platform, although it remains a preview feature for now. Computer Use enables an AI agent to examine screenshots and return actions such as mouse clicks, scrolling, and keyboard input. A developer’s application must execute those actions, capture the resulting screen, and send it back to Gemini, creating a continuous loop until the task is completed. Google says the integration can be used for activities including repetitive form filling, application testing, research across multiple websites, and longer enterprise workflows. Gemini 3.5 Flash can work with browser, mobile, and desktop environments, whereas Google’s earlier standalone Computer Use model was primarily positioned around browser interaction. The main change is consolidation. Computer control was previously offered through the separate Gemini 2.5 Computer Use preview model. As Neowin reported when that model was introduced, it was designed to interpret a visual interface and generate actions without requiring a website-specific API. Google later brought Computer Use to preview versions of Gemini 3 Pro and Gemini 3 Flash in January 2026. The latest release now incorporates the tool into the stable Gemini 3.5 Flash model rather than requiring developers to select a specialized model solely for interface automation. Gemini 3.5 Flash itself was announced in May as Google’s latest fast model for coding and multi-step agent workflows. It supports a one-million-token input context window and up to 65,000 output tokens, along with adjustable thinking levels that let developers trade additional reasoning for lower latency and cost. Google also added that Gemini 3.5 Flash received targeted adversarial training for computer-use scenarios. The company is also offering safeguards that can require user confirmation before sensitive or irreversible actions and automatically stop a workflow when suspected prompt injection is detected. Its developer documentation describes configurable protections for areas such as financial transactions and changes to sensitive records. Google isn't the first to bring Computer Use to its platform. Anthropic has made computer control available through Claude, while OpenAI has continued improving computer-use performance in its recent models. Microsoft has also applied the concept to business workflows, including a Computer Use capability for the Researcher agent in Microsoft 365 Copilot.

  • Recent Achievements

    • Dedicated
      Scoobystu earned a badge
      Dedicated
    • First Post
      Tom Schmidt earned a badge
      First Post
    • One Month Later
      D0nn13 earned a badge
      One Month Later
    • Rookie
      +ChiefOfNeo went up a rank
      Rookie
    • One Year In
      Tom Schmidt earned a badge
      One Year In

  • Popular Contributors

    1. 1
      +primortal
      463
    2. 2
      +Edouard
      177
    3. 3
      PsYcHoKiLLa
      124
    4. 4
      Michael Scrip
      79
    5. 5
      Xenon
      76
    Show More

  • Tell a friend

    Love Neowin? Tell a friend!