r/hardware

> Nvidia’s next marquee product — the Kyber rack-scale architecture designed to house its 2027 Rubin Ultra chips — has been delayed by more than 12 months to 2028, according to research firm SemiAnalysis, the latest in a string of reported setbacks raising questions about the AI giant’s product roadmap.

>Nvidia rejected the SemiAnalysis report and said, “Our roadmap is intact.”

I’m the developer of the open-source Sony Head Tracker project covered in this Tom’s Hardware article.

It turns the motion sensors inside compatible Sony headphones and earbuds into a real-time OpenTrack head tracker for Windows, so they can be used in racing sims, flight sims, and other games that support TrackIR/OpenTrack-style input.

I started by testing it with the WH-1000XM5, and the goal now is to expand compatibility, improve setup, and get more people testing different Sony models.

Repo: https://github.com/NicholasSlattery/sony-head-tracker

Happy to answer technical questions about how it works.

Why is it we only get GPU limited performance vs GPU data for new game releases and not CPU limited performance vs CPU? Is it simply because GPUs are easy to swap and PCIe is backwards compatible? Whereas a different CPU requires essentially entire new system config (with exception to AM4).

The reason I ask is because it would be nice to have an approximate range of potential performance for new game releases (GPU to CPU limited performance).

> Samsung's upcoming 990 SSD drops EVO and PRO branding, uses Host Memory Buffer caching instead of DRAM, and likely features QLC NAND with lower endurance, positioning it as a budget PCIe 4.0 NVMe drive below the EVO Plus and PRO models. Official details and pricing remain unconfirmed.

> Micron Technology Inc. on Saturday broke ground on the expansion of its factory in western Japan, a ¥1.5 trillion ($9.3 billion) undertaking to produce advanced memory chips.

> The Boise, Idaho-based company is building the facility in Hiroshima to make chips such as high-bandwidth memory crucial for AI processors like Nvidia Corp.’s, with shipments to start around the summer of 2028.

STREAM memory bandwidth results on an c9g.48xlarge instance.

For reference my own HPC code (memory bandwidth limited with most time spent doing parallel sparse linear algebra) ran about 40% faster compared to the last generation Graviton (G4) :)

$ ./STREAM/stream_c.exe
-------------------------------------------------------------
STREAM version $Revision: 5.10 $
-------------------------------------------------------------
This system uses 8 bytes per array element.
-------------------------------------------------------------
Array size = 100000000 (elements), Offset = 0 (elements)
Memory per array = 762.9 MiB (= 0.7 GiB).
Total memory required = 2288.8 MiB (= 2.2 GiB).
Each kernel will be executed 10 times.
 The *best* time for each kernel (excluding the first iteration)
 will be used to compute the reported bandwidth.
-------------------------------------------------------------
Number of Threads requested = 192
Number of Threads counted = 192
-------------------------------------------------------------
Your clock granularity/precision appears to be 1 microseconds.
Each test below will take on the order of 2414 microseconds.
   (= 2414 clock ticks)
Increase the size of the arrays if this shows that
you are not getting at least 20 clock ticks per test.
-------------------------------------------------------------
WARNING -- The above is only a rough guideline.
For best results, please be sure you know the
precision of your system timer.
-------------------------------------------------------------
Function    Best Rate MB/s  Avg time     Min time     Max time
Copy:          865362.5     0.001900     0.001849     0.001957
Scale:         783524.4     0.002116     0.002042     0.002182
Add:           726863.3     0.003357     0.003302     0.003411
Triad:         689663.6     0.003587     0.003480     0.003740
-------------------------------------------------------------
Solution Validates: avg error less than 1.000000e-13 on all three arrays
-------------------------------------------------------------
$ for i in `seq 1 10`; do ./STREAM/stream_c.exe | grep Triad; done
Triad:         689049.9     0.003545     0.003483     0.003641
Triad:         691226.4     0.003630     0.003472     0.003998
Triad:         684924.1     0.003587     0.003504     0.003926
Triad:         687121.5     0.003550     0.003493     0.003590
Triad:         671894.9     0.003619     0.003572     0.003709
Triad:         685904.2     0.003603     0.003499     0.003880
Triad:         546222.2     0.004446     0.004394     0.004508
Triad:         625509.8     0.003903     0.003837     0.003983
Triad:         618552.9     0.003929     0.003880     0.004012
Triad:         682000.7     0.003565     0.003519     0.003617

> Government attempts to address the global memory chip shortage by influencing prices or production capacity would worsen a historic squeeze on supply driven by the artificial intelligence boom, a semiconductor industry group warned the Trump administration.

>In a letter to senior administration officials, the SEMI industry association urged the US instead to allow companies to continue striking long-term agreements with customers and extend tax breaks aimed at increasing output in the US. The top three memory chipmakers — Idaho-based Micron Technology Inc. as well as SK Hynix Inc. and Samsung Electronics Co. of South Korea — are members of the SEMI group.

>While SEMI said in its letter that memory capacity is expected to grow about 19% per year, citing industry data, it added that exploding demand from AI infrastructure would eclipse supply, constraining availability for everything from laptops to cars and appliances.

>Though all the major memory makers have plans to expand, that build-out will take years, while a supply-demand mismatch is already leading to price increases.