4 ms·

I recently got the Asus Hyper and 4 Sabrent Rocket NVMe disks and had them in RAID0. The speeds were just stunning to say the least at 15GB/s. Getting the drive

I recently got the Asus Hyper and 4 Sabrent Rocket NVMe disks and had them in RAID0. The speeds were just stunning to say the least at 15GB/s. Getting the drivers to work for the boot drive on Windows 10 was a pain though. AMD's RaidXpert requires you to do manually install the drivers in a specific order while installing Windows to recognize it.

vmception 6y ago
I threw these on a PCIe 2.0 x16 port, and I get 3GB/s, as expected. There isn't anything in between 500MB/s SATA 3 SSDs and multi-gigabyte high capacity NVMe SSDs. I'm blown away, so what are you all using the even greater throughput for? The utility is quite slim as is, because of the networking limitations and other I/O. Only certain internal processing and parsing can take advantage of this.
- Dylan16807 6y ago
  Right now, very few programs take advantage of the speed. Things are just mildly smoother. But soon you should see lots of videogames that can dynamically load massive amounts of data, letting you switch levels in a second or have highly detailed levels that don't need to worry about fitting into memory all at once. (Presumably the latter will be optional for most titles.) See the first half of https://www.youtube.com/watch?v=fqi09JnJHOo https://www.youtube.com/watch?v=fqi09JnJHOo It's partly a comparison against hard drives, but it gets into why you'd want gigabytes per second.
teruakohatu 6y ago
> The speeds were just stunning to say the least at 15GB/s. That is amazing. That is around DDR4-1866 speeds, and not far from DDR4-2666 (~21 GB/s). At those speeds I would happily work with dataframes sitting on the disk rather than in memory [1, 2]. Did you benchmark RAID 0 with less than four disks? [1] R: https://github.com/xiaodaigh/disk.frame https://github.com/xiaodaigh/disk.frame [2] Python: https://docs.dask.org/en/latest/dataframe.html https://docs.dask.org/en/latest/dataframe.html
- gizmodo59 6y ago
  No. I spent way too much time in installing those drivers as it was not a smooth experience. Will give it a shot! My specs: 3990X, 265GB DDR4 3200Mhz, Asus Rog Strix E-Gaming
- Dylan16807 6y ago
  You're welcome to try, but remember that getting any specific piece of data takes a thousand times longer. Some workloads can handle that, and some can't.

vmception 6y ago

I threw these on a PCIe 2.0 x16 port, and I get 3GB/s, as expected. There isn't anything in between 500MB/s SATA 3 SSDs and multi-gigabyte high capacity NVMe SSDs. I'm blown away, so what are you all using the even greater throughput for? The utility is quite slim as is, because of the networking limitations and other I/O. Only certain internal processing and parsing can take advantage of this.

Dylan16807 6y ago
Right now, very few programs take advantage of the speed. Things are just mildly smoother. But soon you should see lots of videogames that can dynamically load massive amounts of data, letting you switch levels in a second or have highly detailed levels that don't need to worry about fitting into memory all at once. (Presumably the latter will be optional for most titles.) See the first half of https://www.youtube.com/watch?v=fqi09JnJHOo https://www.youtube.com/watch?v=fqi09JnJHOo It's partly a comparison against hard drives, but it gets into why you'd want gigabytes per second.

teruakohatu 6y ago

> The speeds were just stunning to say the least at 15GB/s. That is amazing. That is around DDR4-1866 speeds, and not far from DDR4-2666 (~21 GB/s). At those speeds I would happily work with dataframes sitting on the disk rather than in memory [1, 2]. Did you benchmark RAID 0 with less than four disks? [1] R: https://github.com/xiaodaigh/disk.frame https://github.com/xiaodaigh/disk.frame [2] Python: https://docs.dask.org/en/latest/dataframe.html https://docs.dask.org/en/latest/dataframe.html

gizmodo59 6y ago
No. I spent way too much time in installing those drivers as it was not a smooth experience. Will give it a shot! My specs: 3990X, 265GB DDR4 3200Mhz, Asus Rog Strix E-Gaming
Dylan16807 6y ago
You're welcome to try, but remember that getting any specific piece of data takes a thousand times longer. Some workloads can handle that, and some can't.