Intel won't launch a Nova Lake-S SKU with 12 Xe3P graphics cores, according to tipster Jaykihn, who originally flagged a beefed-up APU design with the Nova Lake architecture. The original SKU was said to come with 4 P-cores, 8 E-cores, and 4 LPE-cores, along with the 12 Xe3P cores, presumably offering an inexpensive onramp to a gaming desktop without a discrete GPU. Now, the leaker says that design is cancelled, and Intel intends to pick it back up with Razor Lake, the generation that will follow Nova Lake.

Originally, Intel's 12 Xe3P Nova Lake SKU was said to require 65W of dedicated power to drive the iGPU, necessitating the use of two VCCGT phases on the motherboard for integrated graphics. Intel's Arc B390 GPU, which is the 12 Xe3-core model available in Panther Lake and Arc G-series processors, has a thermal design that can sustain up to 80W. However, it's currently being used in Panther Lake machines and handhelds like MSI Claw 8 EX AI+ that have lower power targets.

The Xe3P architecture is slotted for use in Intel's Crescent Island AI accelerator, but it hasn't been announced for any other products yet. Xe3P supports a wide deployment of Xe cores (up to 32), a deeper XMX engine with support for low-precision data types like FP8 and FP4, an increased 512KB L1 cache per Xe core, and a new unified L2 cache (32MB on Crescent Island).

Even by desktop APU standards, an 80W iGPU is a beefy accelerator to have on the same package. In addition, Intel's Nova Lake stack is said to extend up to a 175W TDP with the rumored top-end 52-core SKU, meaning the full 12 Xe3P iGPU would likely only be possible lower down the stack (and maybe only in the 4 + 8 + 4 + 12 Xe design originally suggested).

Earlier in the year, rumors suggested Intel was working on a mobile APU to counter AMD's Strix/Gorgon Halo products, featuring a large pool of unified memory and a large iGPU, dubbed Nova Lake AX. Now, the rumor mill suggests Intel will recycle the Nova Lake CPU cores for Razor Lake AX on mobile while pushing a larger iGPU.

*Specs rumored, unconfirmed by Intel

Intel has told us that Nova Lake is one of the most important desktop CPU launches for the company ever, following on the heels of the mediocre Arrow Lake rollout. Perhaps the biggest addition to the lineup is rumored to be bLLC, or big last-level cache, which is said to show up on select SKUs to counter AMD's X3D assault among the best CPUs for gaming. The company has yet to confirm that bLLC is even possible with its current packaging capabilities, though enthusiast channel VP Robert Hallock hinted to Tom's Hardware that Intel has plans to address X3D in the next generation.

The main stack is rumored to climb up to 28 cores, with two additional dual-tile SKUs that can go as high as 52 cores. The dual-tile models look like a bid for HEDT, perhaps competing with AMD's Threadripper CPUs, though it's not clear how Intel will position its dual-tile models yet.

Earlier this month, a leaked slide gave us a glimpse into Intel's launch plans for Nova Lake. The slide suggested Intel will announce the main stack (up to 28 cores) in Q4 of this year, with the chips arriving in Q1 2027. Intel will apparently follow up later in the year with the 52-core model. This aligns with what we've heard from our sources about Intel's Nova Lake rollout.

Alongside Nova Lake, Intel will introduce the new LGA1954 socket, along with the flagship Z990 chipset. We've already seen multiple Z990 motherboards in the flesh, suggesting Intel is preparing for a Nova Lake release in short order.

Nvidia's fastest gaming graphics card, the RTX 5090, has been on a tear of price increases over the past several weeks. However, over the past week, the available inventory has dwindled. Now, you can only find the RTX 5090 from third-party sellers at online retailers like Newegg and Amazon, commanding anywhere from $6,500 to $9,500 (or even higher) for Team Green's best GPU.

At Newegg, the cheapest RTX 5090 is the MSI Ventus 3X that's available from Slava Computers (a relatively new seller with 239 ratings and a 2.8 out of 5 rating at the time of writing) for $6,449. On Amazon, you can get the Asus TUF Gaming OC for $6,395 from Joes Tech Shop, a seller with an 81% positive rating. However, among the most recent reviews are a string of one-star reviews about orders never being fulfilled. The cost goes much higher, as well. The first result for "RTX 5090" on Newegg, for example, surfaces the MSI Ventus 3X OC for $8,699.

In June, the median price for an RTX 5090 was $4,299. At the beginning of September, we logged the lowest online price at $5,199 in our GPU price tracker. Now, in less than two weeks, the available stock has completely disappeared online, and the options available from third-party sellers have ballooned in price once again.

Naturally, we don't recommend buying from one of these third-party sellers. The RTX 5090 is selling at a vastly inflated price, but more importantly, we've seen no shortage of scams around high-ticket items like the RTX 5090. In January, 42 Amazon customers were duped into a scam involving a $999 RTX 5090, instead receiving a fanny pack in place of the GPU. Earlier this month, an online seller scammed two buyers with the RTX 5090, selling phantom graphics cards with the core and memory removed on the secondhand market for prices near MSRP.

The one exception to RTX 5090 inventory is Micro Center, which still has cards available around the average selling price. At a local Micro Center we checked, the cheapest in-stock option was $4,299. Micro Center has exclusively sold graphics cards in-person for several years, insulating it from online buyouts like what appears to be going on right now.

As usual, the reason why there's so much demand for the RTX 5090 is fairly obvious: AI. The RTX 5090 holds the GB202 GPU and 32GB of GDDR7 memory. For context, Nvidia's RTX Pro 5000 48GB comes with the same GPU with a third fewer shader units enabled, and lower memory bandwidth compared to the RTX 5090, and sells for between $7,000 and $9,000. In that context, the RTX 5090 starts to look attractive for building an AI server, even at $5,000 (or more) apiece.

At the same time, the RTX 5090 remains the fastest gaming graphics card on the market according to the testing in our GPU benchmark hierarchy. That's even more true now with Nvidia's launch of DLSS 5 Neural Rendering, which the RTX 5090 can fully capitalize on (though, thankfully, we've found playable performance on lower-end cards in our extensive DLSS 5 testing).

We've reached out to Nvidia for comment on whether it has any plans to stabilize inventory. We'll update this story when we hear back.

Following an early access period that included over 60,000 participants, auto-overclocking tool Hypertune has released its Gaming Performance Engineering platform, which is built on top of Intel's Extreme Tuning Utility (XTU) SDK and developed in partnership with Intel. The company claims the utility can boost frame rates by up to 60%, though you shouldn't expect that as the norm. The tool includes automated CPU and GPU overclocking, as well as customizable Windows features, network optimization, and game-specific optimizations.

Hypertune partnered with Intel to build the tool, which the company says "evaluates each supported system individually" before optimizing rather than relying on generalized profiles. In its press release, Hypertune says it collaborated with famed overclocker SkatterBencher (Pieter Plaisier) to refine the software. We've reached out to Plaisier to confirm their involvement.

Automated tuning programs usually don't work as well as advertised, and we haven't had the chance to test Hypertune ourselves yet. Especially on more recent hardware, expect performance gains to be minor. Hypertune shared some of its internal benchmarks to back up the claim, showcasing the actual test systems it used, the numbers it gathered, and what each step of Hypertune contributed to the performance increase.

Hypertune tested two systems: one with a Core Ultra 9 285K and an RTX 5090, and another with a Core i7-14700K and an RTX 3080. For the 285K system, the team saw an 18.9% improvement in Homeworld 3 and a 28.2% improvement in Tomb Raider. For the 14700K system, the boost was up to 9.8% in Rainbow Six Siege and 4.3% in Marvel Rivals.

Notably, these results are with Hypertune's Game Hub disabled. Game Hub automatically applies a graphics settings profile to select games, leading to massive increases in performance. Naturally, tweaking your own graphics settings in the same way leads to the same result.

In Homeworld 3, you can see how each step in the process impacted performance, with CPU tunning contributing the single biggest increase in performance. As shown by Marvel Rivals in Hypertune's data, some games will see little to no benefit from Hypertune, though select titles with certain hardware may see a significant performance increase. In this case, the Core Ultra 9 285K has plenty of room for overclocking, and Homeworld 3 is particularly sensitive to the CPU, so the uplift makes sense.

Elsewhere, the gains aren't as pronounced. In Rainbow Six Siege, you can see that Hypertune contributed about a 9.8% jump in performance, though the vast majority of the improvement comes through Game Hub, where Hypertune changes in-game settings.

In a press release, Hypertune founder Austin Copeland wrote that the team was "not trying to build a tool for overclockers," suggesting it's aimed toward users who may not know about specific settings (i.e., the Balanced power plan on dual-CCD X3D CPUs, or HAGS for DLSS Frame Generation). Copeland was previously a coach for eSports organization TSM, coaching Valorant teams under the name "Apex."

Hypertune works through Intel's XTU SDK, and the company says its optimizations are non-destructive and fully reversible. The software is mainly targeted toward competitive titles (naturally, given Copeland's background), but it can apply optimizations globally across the system. Hypertune says it's safe to use with anti-cheat software, including Riot Vanguard, Easy Anti-Cheat, and BattlEye.

Although there are plenty of free tools that claim to optimize your system, Hypertune isn't among them. It's a subscription service, available for either $9.99 per month or $59.99 per year. In addition to software, Hypertune offers its "expert tuning" service for $80, where a technician will remote into your machine and manually tune it. On the subscription front, Hypertune offers a 7-day free trial.

Hypertune looks like one of the more robust automated overclocking tools we've seen, but it's worth highlighting that, in most cases, these tools don't do anything you can't accomplish yourself. If you're looking for a starting point, make sure to read our guides on how to overclock your graphics card and how to overclock your CPU.

Intel is reportedly set to hike CPU prices by 10%, according to a new Digitimes report. Citing supply chain sources, the outlet says the increase follows two others, one in the first quarter of 2026 and another in July, among some server and client CPUs. Notably, the sources didn't say which products the price increase applies to, though presumably, the increases would come through Intel's mobile and server businesses before desktop client. Citing industry sources, DigiTimes also reports that Intel is set to launch "major annual products" in March 2027, with AMD following up with launches of its own between June and July.

The increases come on the back of Intel seeking higher gross margins for its products as the PC market shrinks. This is a story we've heard directly from Intel in the past. In its most recent earnings call in July, Intel chief financial officer David Zinsner attributed a 13% YoY increase in Intel's client revenue to higher average selling price, not a higher volume of sales.

Although the Digitimes report doesn't clarify which products will see a price increase, server and mobile seem like the most likely candidates. Intel's most recent Panther Lake calls for high-speed LPDDR5X-7467 memory as a minimum, and last-gen Lunar Lake CPUs have on-package memory. Naturally, higher memory prices put more pressure on fully built systems like laptops more so than socketed, standalone desktop processors.

On the server end, there's been an unprecedented increase in demand for server CPUs on the back of agentic AI workloads. That demand led to several consecutive records for Intel's share price, even without any major product announcements. Earlier in the year, Wall Street estimated the server CPU market would rise to around $120 billion by 2030 (currently around $30 billion). Now, those projections go up to as high as $220 billion.

According to the report, Intel is set to launch a major new annual product in March 2027, followed by AMD between June and July. Last week, a leaked Intel roadmap showed the company's next-gen Nova Lake desktop CPUs entering mass production in Q4 2026 with a release in Q1 2027, lining up with DigiTimes' report.

Although the timelines line up, the rumor mill has suggested an early Q1 launch for Nova Lake. It's worth noting that the DigiTimes report doesn't make mention of which product Intel will launch in March. This year, for instance, Intel launched its Xeon 600 CPUs for HEDT in March.

Perhaps more interesting is the AMD timeline. We already know of one major AMD product launch in the second half of 2027, which is Venice-X. Those are Zen 6 server CPUs with AMD's 3D V-Cache, packing up to 1,152 MB of L3 cache on the chip. Otherwise, that timeframe seems to point to AMD's next-gen desktop CPUs with the Zen 6 architecture, codenamed Olympic Ridge.

AMD launched its Venice server CPUs earlier this year, the first sporting the Zen 6 architecture. We haven't heard anything official about Zen 6 in the desktop yet. That's strange given AMD's last several releases. There was about a two-year gap between Zen 3 and Zen 4, as well as Zen 4 and Zen 5, on desktop. We've just crossed the two-year mark for Zen 5, so assuming AMD keeps a similar launch cadence, we'd expect to hear something sooner than June or July or next year.

That same explosive demand in server CPUs could have changed AMD's launch plans, however. Given that we haven't heard anything official about Olympic Ridge at this point, a launch in June or July isn't out of the question.

Arm is bringing its next-gen Neoverse CSS N4 platforms to the cloud, sporting up to 128 cores per die, built on TSMC’s N3P process. Arm’s Compute Subsystem, or CSS, is a semi-custom program that allows customers to design a chip based on Arm’s IP, configuring components like core count, cache size, I/O, and connectivity to fit their specific needs. It’s the same platform we’ve seen at work everywhere from CPUs at Azure and Google Cloud to DPUs at Nvidia and Intel.

Arm says Neoverse CSS N4 supports between eight and 128 Neoverse N4 cores, running up to 3.8 GHz. Presumably, the clocks drop as the core count rises; Arm didn’t clarify the maximum clocks for each possible configuration. At a system level, Neoverse CSS N4 can scale beyond 128 cores, with support for multi-chiplet and multi-socket designs, and with support for UCIe through chip-to-chip interconnects, as well as “partner-specific PNYs.”

The platform supports either DDR5 or LPDDR6, and features up to 256 MB of L3 cache per die. For local cache, Arm includes up to 2 MB of L2 per core, as well as 64 KB of L1 instruction cache and 64 KB of L1 data cache per core. For I/O, Arm supports up to 128 lanes of PCIe 7/6 and CXL 4.0.

It’s a significant upgrade over the Neoverse CSS N2 platform, which topped out at just 64 cores, 1 MB of L2 cache per core, and 64 MB of L3 cache, paired with either DDR5 or LPDDR5 and 64 PCIe 5.0/CXL lanes.

With 128 cores running at 3GHz and 2MB of L2 cache per core, Arm says Neoverse CSS N4 delivers twice the socket performance of Neoverse N3, 1.25x performance per watt, and 1.75x the memory bandwidth.

Arm’s N-series cores are optimized for performance per watt, while its V-series cores are targeting maximum performance. For instance, Arm used the Neoverse CSS V3 building blocks for its own AGI CPU, and Nvidia used Neoverse V2 for its last-gen Grace CPU (the Vera CPU uses a custom core). AWS has also used Neoverse V-series cores for its own Graviton chips, as does Google Cloud for Axion.

N-series cores aren’t usually deployed in high-performance CPUs. Rather, they fit into less-performant accelerators, such as Intel’s IPU Adapter E2100, which is built on Neoverse N1 cores. We’ve also seen it deployed in less-demanding, cloud-based workloads, such as through Microsoft’s Azure Cobalt 100, which is built on Neoverse N2. Cobalt 200 moved onto Neoverse V3.

We don’t know much about the Neoverse N4 cores, codenamed Dionysus. Arm’s 2024 roadmap indicated we’ll see Arm Neoverse CSS V4, as well, codenamed Vega.

Unlike a traditional announcement from Intel, AMD, or the various partners that build on Arm, we won’t see Neoverse N4 cores in the wild for a while. The announcement Arm is making is for those who are building on the CSS platform, leveraging Arm’s validated building blocks to create semi-custom silicon quickly. Arm has yet to announce any partners, though traditionally, only a few large CSS contracts are needed.

Additional Arm AGI CPU deployments

Alongside the announcement of Arm Neoverse CSS N4, the company revealed additional deployments of its own AGI chip, which is built with Neoverse V3 cores. The company revealed that Oracle and ByteDance will deploy AGI chips, alongside previously announced deployments at Meta, Lenovo, SAP, OpenAI, Cloudflare, and others.

Although Arm has talked a lot about AGI, including a deep dive into the chip’s architecture at Hot Chips, we’ve yet to see real-world performance numbers. That’s not uncommon, especially among more recent Arm-based chips. For instance, we only have gen-on-gen comparisons for Microsoft’s Azure Cobalt 200 and AWS’ Graviton5. Arm has vaguely referenced performance by saying AGI offers “more than 2x the performance per rack compared to the latest x86 systems,” though those claims are based on internal estimates, not real benchmarks.

AGI is a dual-die CPU with up to 136 Neoverse V3 cores and up to 272 MB of L3 cache that can clock up to 3.7 GHz. It has the specs to match any high-end x86 design currently on the market, built on a 3nm node and packing up to 6TB of memory capacity per chip, running at up to DDR5-8800. Perhaps the biggest difference compared to AMD and Intel was Arm’s decision to include the memory and I/O on the same die as compute, which it says leads to sub-100ns memory latency.

It’s Arm’s first attempt at its own production silicon, though it’s also been positioned so far as a vehicle for the broader applications of Arm in the data center. Microsoft, Nvidia, Meta, Google Cloud, and others build custom chips based on Arm IP, which still seems to be the primary goal, even with AGI in the mix.