Really Stupid & Expensive Gaming Setup!
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Promos
We reviewed the Xeon Phi a while back, but neglected to answer one important question: Can it run Fortnite? Buy a GTX 1060 6GB: On Amazon: geni.us On Newegg: geni.us Buy a Core i7 8700K instead of a Xeon Phi: On Amazon: geni.us On Newegg: geni.us Or go Team Red and buy a Ryzen 7 2700X: On Amazon: geni.us On Newegg: geni.us Discuss on the forum: linustechtips.com Our Affiliates, Referral Programs, and Sponsors: linustechtips.com Linus Tech Tips merchandise at designbyhumans.com Linus Tech Tips posters at crowdmade.com Our Test Benches on Amazon: amazon.com Our production gear: geni.us Get LTX 2018 tickets at ltxexpo.com Twitter - twitter.com Facebook - @LinusTech Instagram - @linustech Twitch - twitch.tv Intro Screen Music Credit: Title: Laszlo - Supernova Video Link: youtube.com iTunes Download Link: itunes.apple.com Artist Link: soundcloud.com Outro Screen Music Credit: Approaching Nirvana - Sugar High youtube.com Sound effects provided by freesfx.co.uk
The video centers on a 64-core Xeon Phi based setup repurposed for gaming, a concept that immediately signals a mismatch between the hardware’s intended workloads and consumer game rendering. The hosts describe the premise as a science experiment, noting that the CPU is architecturally closer to a massively parallel scientific accelerator than a traditional gaming processor. They begin by reassembling the machine, adding RAM, a boot SSD, and a mainstream GPU, then attempt to run Windows Server to ensure all 256 logical cores are recognized. The initial foray into CS:GO at 1080p demonstrates limited benefits from multi-threading, with the game barely utilizing the cores and relying on single-thread performance for most of the workload. As the session progresses, the team tests more demanding titles and observes severe bottlenecks, including dramatic frame rate drops, imperfect timing, and visible screen tearing, underscoring that heavy parallel hardware is not inherently suitable for gaming workloads lacking proper optimization. The overall takeaway is clear: while the Xeon Phi excels at scientific tasks like neural networks and tensor operations, its architecture does not align with gaming demands, making it an entertaining but impractical choice for a high-end gaming rig. The video ends with a measured note that some Xeon CPUs can be viable for gaming, depending on their design, but the Xeon Phi family is not typically a fit for graphics workloads, reinforcing the broader lesson about matching hardware to workload and optimization needs.
Topics · technology · hardware · gaming · benchmarking · science
Questions answered
- Why does a 64-core Xeon Phi not make a good gaming system?
- Because its architecture emphasizes parallel computation and large numbers of cores for non-graphics tasks, while gaming benefits from high single-thread performance and driver optimization, which this hardware lacks.
- What was the initial GPU used for testing?
- A GTX 1060 6GB was used as the initial, mid-range graphics card to assess basic gaming feasibility before scaling up.
- What is the broader lesson from this video about hardware choice?
- Match the workload to the hardware; expensive, highly parallel processors are not necessarily beneficial for gaming unless the workload can exploit their architecture and software is optimized for it.