qubit
Overclocked quantum bit
- Joined
- Dec 6, 2007
- Messages
- 17,865 (2.87/day)
- Location
- Quantum Well UK
System Name | Quantumville™ |
---|---|
Processor | Intel Core i7-2700K @ 4GHz |
Motherboard | Asus P8Z68-V PRO/GEN3 |
Cooling | Noctua NH-D14 |
Memory | 16GB (2 x 8GB Corsair Vengeance Black DDR3 PC3-12800 C9 1600MHz) |
Video Card(s) | MSI RTX 2080 SUPER Gaming X Trio |
Storage | Samsung 850 Pro 256GB | WD Black 4TB | WD Blue 6TB |
Display(s) | ASUS ROG Strix XG27UQR (4K, 144Hz, G-SYNC compatible) | Asus MG28UQ (4K, 60Hz, FreeSync compatible) |
Case | Cooler Master HAF 922 |
Audio Device(s) | Creative Sound Blaster X-Fi Fatal1ty PCIe |
Power Supply | Corsair AX1600i |
Mouse | Microsoft Intellimouse Pro - Black Shadow |
Keyboard | Yes |
Software | Windows 10 Pro 64-bit |
@cadaveca
So Intel own the market because they own the fabs to meet the demand, regardless of what happens? Yeah, I'll go with that.
I don't agree that more computing power isn't needed though. It's one of those things that's classically "never enough" and there's always an application to soak it all up. Even though it might just be the same thing done 100 times faster, this can still be enough to bring about a paradigm shift. To give you an example, take voice recognition. It's a notoriously difficult thing for a computer to do accurately and with little training, since computers don't have the awareness and the "smarts" that humans do, to implement a proper artificial intelligence. However, the speed of today's processors allow for this functionality to a passable extent.
Another one is weather prediction. It can be pretty accurate up to about three days in advance now and that's simply because of the huge amount of processing power available on today's supercomputers.
So Intel own the market because they own the fabs to meet the demand, regardless of what happens? Yeah, I'll go with that.
I don't agree that more computing power isn't needed though. It's one of those things that's classically "never enough" and there's always an application to soak it all up. Even though it might just be the same thing done 100 times faster, this can still be enough to bring about a paradigm shift. To give you an example, take voice recognition. It's a notoriously difficult thing for a computer to do accurately and with little training, since computers don't have the awareness and the "smarts" that humans do, to implement a proper artificial intelligence. However, the speed of today's processors allow for this functionality to a passable extent.
Another one is weather prediction. It can be pretty accurate up to about three days in advance now and that's simply because of the huge amount of processing power available on today's supercomputers.