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    Saturday, February 15, 2020

    Hardware support: Anand Shimpi (Former Anandtech Owner) Outed in Apple/Nuvia Lawsuit for Confidential Info Leaks

    Hardware support: Anand Shimpi (Former Anandtech Owner) Outed in Apple/Nuvia Lawsuit for Confidential Info Leaks


    Anand Shimpi (Former Anandtech Owner) Outed in Apple/Nuvia Lawsuit for Confidential Info Leaks

    Posted: 14 Feb 2020 07:14 PM PST

    In a Santa Clara court filing dated August 7, 2019, a familiar name to us old hardware enthusiasts popped up: Anand Shimpi. The short story is that Anand is being accused of sharing confidential Apple documents to the Nuvia startup (Nuvia is looking to make ultra-performing and ultra-efficient ARM processors for datacenter, and Apple is suing Nuvia/ Gerard Williams III for leaving Apple and "poaching" talent from Apple staff).

    This is the full passage from the lawsuit: "Additionally, current Apple employee Anand Shimpi sent Williams text messages on numerous occasions after Williams' departure from Apple. In an April 4, 2019 conversation, Shimpi included slides and other material designated "Apple Confidential" that Shimpi had prepared for a future meeting with Srouji. Williams indicated that this material was inappropriate and unwelcome, as Williams was no longer an Apple employee."

    Apple has a ferocious track record of firing folks that it finds leaking confidential apple materials. This makes me wonder if we will soon see Anand looking for a new job? And maybe returning to Anandtech? It is rumored that his family still owns a stake in Anandtech, but I have no idea if there is any truth to that or not. I for one would love to see him back as a tech journalist. One thing I do know for sure, now that this issue has popped up in court, Apple will be hammering to find out if Shimpi's confidential information sharing is true or not.

    A fuller story is penned over at Bloomberg: https://finance.yahoo.com/news/nuvia-exec-sued-apple-says-181807641.html

    submitted by /u/MAD_Scientistss
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    Windows vs. Linux Scaling Performance From 16 To 128 Threads With AMD Ryzen Threadripper 3990X | Phoronix

    Posted: 14 Feb 2020 07:18 AM PST

    Mindfactory Graphics Cards Sales Report January 2020: AMD 42.7% vs. nVidia 57.3%

    Posted: 15 Feb 2020 12:26 AM PST

    • all sales, prices and revenues based on public available data from the german retailer Mindfactory
    • all prices and revenues in Euro including 19% VAT of Germany
    • you can nearly 1:1 compare MSRP Dollar prices in the U.S. (without tax) and retail Euro prices in Germany (with tax)
    • these data are not perfect, because sometimes Mindfactory not listed some SKUs (maybe because of delivery problems)
    • right now, Mindfactory does not sale any Asus based graphics cards (on AMD & nVidia chipsets)
    • the sales figures are simply the difference between the data from January 31 and December 31
    • the average prices (and revenues) were created by a mean of the prices of January 31 and December 31
    • please keep in mind: just retail market, just Germany, and Mindfactory is just a part of this market

     

    Mindfactory Jan.2020 Sales Ø Price Revenue Sales Share Revenue Share
    AMD Navi 4,180 €373.68 €1,561,990.20 22.8% 23.4%
    AMD Vega 130 €551.13 €71,646.60 0.7% 1.1%
    AMD Polaris 3,435 €158.22 €543,471.80 18.7% 8.1%
    AMD other 80 €42.85 €3,427.60 0.4% 0.1%
    nVidia Turing 8,755 €494.18 €4,326,511.25 47.8% 64.8%
    nVidia Pascal 1,150 €124.39 €143,050.20 6.3% 2.1%
    nVidia other 605 €40.08 €24,248.30 3.3% 0.4%
    AMD 7,825 €278.66 €2,180,536.20 42.7% 32.7%
    nVidia 10,510 €427.57 €4,493,809.75 57.3% 67.3%
    OVERALL 18,335 €364.02 €6,674,345.95 - -

     

    Mindfactory Jan.2020 Sales Ø Price Revenue Sales Share Revenue Share
    Enthusiast (>€900) 495 €1,231.71 €609,695.70 2.7% 9.1%
    High-End (€500-900) 3,890 €595.06 €2,314,781.70 21.2% 34.7%
    Midrange (€250-500) 6,510 €389.79 €2,537,512.15 35.5% 38.0%
    Mainstream (€100-250) 6,150 €184.47 €1,134,493.30 33.5% 17.0%
    Entry (<€100) 1290 €60.36 €77,863.10 7.0% 1.2%
    AMD 7,825 €278.66 €2,180,536.20 42.7% 32.7%
    nVidia 10,510 €427.57 €4,493,809.75 57.3% 67.3%
    OVERALL 18,335 €364.02 €6,674,345.95 - -

     

    Mindfactory Jan.2020 Sales AMD Sales nVidia Ø Price AMD Ø Price nVidia Revenue AMD Revenue nVidia
    Enthusiast (>€900) - 495 (100.0%) - €1,231.71 - €609,695.70 (100.0%)
    High-End (€500-900) 120 (3.1%) 3,770 (96.9%) €574.00 €595.73 €68,880.00 (3.0%) €2,245,901.70 (97.0%)
    Midrange (€250-500) 3,795 (58.3%) 2,715 (41.7%) €389.28 €390.49 €1,477,326.55 (58.2%) €1,060,185.60 (41.8%)
    Mainstream (€100-250) 3,655 (59.4%) 2,495 (40.6%) €168.35 €208.08 €615,325.65 (54.2%) €519,167.65 (45.8%)
    Entry (<€100) 255 (19.8%) 1,035 (80.2%) €74.53 €55.86 €19,004.00 (24.4%) €58,859.10 (75.6%)
    OVERALL 7,825 (42.7%) 10,510 (57.3%) €278.66 €427.57 €2,180,536.20 (32.7%) €4,493,809.75 (67.3%)

     

    Pos. SKU Sales Ø Price Revenue Sal.Share Rev.Share
    1. GeForce RTX 2070 Super 2,905 €542.81 €1,576,858.55 15.8% 23.6%
    2. Radeon RX 5700 XT 2,360 €424.44 €1,001,671.90 12.9% 15.0%
    3. GeForce RTX 2080 Super 855 €773.57 €661,405.05 4.7% 9.9%
    4. GeForce RTX 2080 Ti 495 €1,231.71 €609,695.70 2.7% 9.1%
    5. GeForce RTX 2060 Super 1,250 €408.65 €510,809.90 6.8% 7.7%
    6. Radeon RX 5700 1,330 €333.83 €443,996.60 7.3% 6.7%
    7. GeForce GTX 1660 Super 1,130 €245.04 €276,897.00 6.2% 4.1%
    8. GeForce RTX 2070 620 €423.84 €262,782.60 3.4% 3.9%
    9. Radeon RX 570 1,350 €137.34 €185,411.40 7.4% 2.8%
    10. GeForce RTX 2060 495 €363.32 €179,844.70 2.7% 2.7%
    11. Radeon RX 580 1,020 €174.67 €178,171.50 5.6% 2.7%
    12. Radeon RX 590 840 €188.67 €158,486.70 4.6% 2.4%
    13. GeForce GTX 1660 Ti 350 €305.00 €106,748.40 1.9% 1.6%
    14. GeForce GTX 1660 475 €220.13 €104,559.85 2.6% 1.6%
    15. Radeon RX 5500 XT 395 €221.34 €87,430.25 2.2% 1.3%

     

    for comparison: overall GPU Market Q3/2019

    Source: 3DCenter.org

    submitted by /u/Voodoo2-SLi
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    (Anandtech) SK Hynix Licenses DBI Ultra Interconnect for Next-Gen 3DS and HBM DRAM

    Posted: 14 Feb 2020 12:27 PM PST

    28 TB of Storage in a Laptop? Eurocom Has It

    Posted: 14 Feb 2020 08:21 AM PST

    AMD: Threadripper 3990X Isn't Better on Windows 10 Enterprise

    Posted: 14 Feb 2020 11:35 AM PST

    [Hardware Unboxed] DLSS Revisited: Can Nvidia Finally Provide a Performance Boost for RTX GPUs?

    Posted: 15 Feb 2020 02:55 AM PST

    Ubuntu 20.04 + Linux 5.5: Fresh Benchmarks Of AMD EPYC Rome vs. Intel Xeon Cascade Lake | Phoronix

    Posted: 14 Feb 2020 07:04 AM PST

    Motorola Wins $765 Million Over Theft by Chinese Radio Rival

    Posted: 14 Feb 2020 12:18 PM PST

    [Gamers Nexus] "Pinkflow" Liquid Cooler from AliExpress: Review of ID Cooling's Pink & White CLC

    Posted: 14 Feb 2020 10:01 AM PST

    Why doesn't the IO components of microprocessors scale with physical transistor size?

    Posted: 14 Feb 2020 04:16 PM PST

    It's well known in the CPU/semicondictor design world that compute components (like the CPU or GPU cores) scale with decreasing physical size of the transistors, but I/O (memory controller, cache, bus controllers for things like PCIe, etc) doesn't. It has famously led AMD to pioneer their chiplet design for consumer CPUs where the IO components are literally on a larger process node.

    But what is the cause for this failure to scale in I/O components and are there any solutions to it? Why do compute units scale well?

    Finally, is lack scaling in this context referring to performance or efficiency staying the same as you physically shrink the circuits or that you cannot physically make then smaller as well as you can compute units?

    submitted by /u/AgreeableLandscape3
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    ComputeDRAM: In-Memory Compute Using Off-the-Shelf DRAMs

    Posted: 14 Feb 2020 03:44 AM PST

    Initial experiments with the Loongson Pi 2K

    Posted: 14 Feb 2020 10:15 AM PST

    Are there any significant benefits to stacking semiconductor chiplets if there's space to lay them all out in 2D?

    Posted: 14 Feb 2020 03:43 PM PST

    Baring things phones and laptops where space may very well drive the need for 3D stacked chiplets for major chips like the SOC, is there any benefit to 3D stacking other than space efficiency? If you had the choice between stacking two layers of processor chiplets with an interposer in between and just laying them out flat and ending up with twice the die surface area, what would be the benefits and drawbacks to each? Are the power savings and latency benefits usually enough to outweigh the cost of more advanced tooling and the extra piece of silicon for the interposer, even for high-cost applications like servers and industrial control systems?

    Finally, if it's between having a separate chipset package and stacking the chipset under the processor die, what would be better?

    submitted by /u/AgreeableLandscape3
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