[Manuel Calavera]

Meni je tu iznađenje 28 pci-e lanes (ako se ne varam priča je bila 24 total sa čipsetovim lejnsima).

Frajer je postavio odlična pitanja, no ovaj naravno nije mogao odgovoriti na sve. Izdvajam meni najzanimljivje;

Question 1: Can you confirm that there will indeed be multiple Ryzen CPU’s available on launch (so not just the 8c/16t models), and it won’t be a paper launch?
RH: There will be more than one Ryzen SKU available at launch. This is all I can say for now.

Znači još jedna službena potvrda. Kao i da će svi biti otljučani i klokabilni na x370, x300, b350...

RH: 1. I’m a huge fan of our ITX-specific X300 chipset for Ryzen. Since the Ryzen processor is technically an SoC, it already has enough built-in PCIe Gen3 lanes and I/O controllers to support USB 3.1 10Gbps, x4 NVMe and SATA drives. That’s basically everything you’d want in a tiny system. That means Ryzen doesn’t ALSO need an I/O chipset on ITX boards—this saves area that would normally be needed to route the extra connections the chipset provides.
The X300 chipset is a tiny pinky-finger-nail-sized chip that facilitates secure boot, TPM, and other security-related features—that’s X300. X300 is connected back to the CPU with a dedicated link, freeing up four more PCIe lanes (now a total of 28) on X300-based motherboards for things like WiFi cards, GigE, and other companion chips common on the ITX form factor. I think X300 is a great answer for our fans that have asked us to facilitate more ITX solutions in the market

Question 4b: Can you also hint how Ryzen ‘learns’ the application? Does it remember what it’s learned if you leave the application on in the background, then go back to in a few hours of web surfing?

RH: The “buffer” for pattern learning is not megabytes big or anything like that, so there is not room to remember hours or days of history. The buffer is typically flushed when you move from one app to the next, or when the system is restarted. This would manifest as a game or benchmark being slightly faster on the second run through, as now its patterns and behaviors are learned. It’s important for users to know that neither Smart Prefetch nor Neural Net Prediction have any knowledge of what you are doing, only how it is being done by the application. A useful analogy might be: we’ve designed a better pencil by watching how you write, but we’ve never looked at the paper to see what you’ve written.

Question 11: There’s a lot of discussion regarding the performance of the 16 thread Ryzen defeating the I7-6900K processor, in the few official benchmarks you’ve shown handbrake, Blender and a couple of games, this is certainly the case. Can you give any indication if we’ll see a similar scenario across a wide group of benches and scenarios – both single / multi-threaded?

RH: Not yet! Though many users think we’re being deliberately parsimonious with this type of data, the truth is that there’s simply more work to be done before this is ready for the limelight. When we’re ready, and we will be this quarter, we will share. I just ask for a little more patience!