I've been hearing Intel play this tune for years, time to show us something or change the record!
They’ve neglected almost every market they were in. They’re altavista.
Uncle roger says bye bye !
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I've been hearing Intel play this tune for years, time to show us something or change the record!
They’ve neglected almost every market they were in. They’re altavista.
Uncle roger says bye bye !
Earlier quoted context omitted.
Intel is not even manufacturing these, they are TSMC 7nm so they are competing for the same fab capacity that everyone else is using.
*AMD/Apple is using. Nvidia's always-sold-out Ampere-based gaming chips are made in a Samsung fab. https://www.pcgamer.com/nvidia-ampere-samsung-8nm-process/
Earlier quoted context omitted.
Unfortunately that support is via ROCm, which doesn't support the last three generations (!) of AMD hardware: https://github.com/ROCm/ROCm.github.io/blob/master/hardware....
ROCm supports Vega, Vega 7nm, and CDNA just fine. The issue is that AMD has split their compute into two categories: * RDNA -- consumer cards. A new ISA with new compilers / everything. I don't think its reasonable to expect AMD's compilers to work on RDNA, when such large changes have been made to the architecture. (32-wide instead of 64-wide. 1024 registers. Etc. etc.) * CDNA -- based off of Vega's ISA. Despite bei…
That's exactly the point. ML on AMD is a third-class citizen.
The sub-heading is false, I had a dedicated Intel GPU in 1998 by way of the i740.
Earlier quoted context omitted.
ROCm supports Vega, Vega 7nm, and CDNA just fine. The issue is that AMD has split their compute into two categories: * RDNA -- consumer cards. A new ISA with new compilers / everything. I don't think its reasonable to expect AMD's compilers to work on RDNA, when such large changes have been made to the architecture. (32-wide instead of 64-wide. 1024 registers. Etc. etc.) * CDNA -- based off of Vega's ISA. Despite bei…
You don't think it's reasonable to expect machine learning to work on new cards? That's exactly the point. ML on AMD is a third-class citizen.
Now don't get me wrong: $9000 is a lot for a development system to try out the software. NVidia's advantage is that you can test out the A100 by writing software for cheaper GeForce cards at first.
NVidia also makes it easy with the DGX computer to quickly get a big A100-based computer. AMD you gotta shop around with Dell vs Supermicro (etc. etc.) to find someone to build you that computer.
As TFA rightly points out, unless something drastically changes in the next ~6mo, Intel is going to launch into the most favorable market situation we've seen in our lifetimes. Previously, the expectation is that they needed to introduce something that was competitive with the top end cards from nVidia and AMD. With basically all GPU's out of stock currently they really just need to introduce something competitive wi…
https://www.youtube.com/watch?v=HSseaknEv9Q We Got an Intel GPU: Intel Iris Xe DG1 Video Card Review, Benchmarks, & Architecture
https://www.youtube.com/watch?v=uW4U6n-r3_0 Intel GPU A Real Threat: Adobe Premiere, Handbrake, & Production Benchmarks on DG1 Iris Xe
Its below GT1030 with a lot of issues.
If Intel provides as much Linux driver support as they do for their current integrated graphics lineup, we might have a new favourite among Linux users.
The sub-heading is false, I had a dedicated Intel GPU in 1998 by way of the i740.
Was that billed as a serious gaming GPU? I don't remember the i740 as anything other than a low-budget option.
Here's an old review: https://www.anandtech.com/show/202/7