Titan V & this aren't priced as gaming cards and competition wouldn't do anything.
Go and read the AnandTech review of the changes they made. Useful for some things, utterly not for gaming.
GTX Titan 2013-02 $999
GTX Titan Black 2014-02 $999
GTX Titan Z 2014-03 $2999
GTX Titan X 2015-03 $999
Titan X 2016-08 $1200
Titan Xp 2017-04 $1200
Titan V 2017-12 $2999
Titan V CEO 2018-06 -
Titan RTX 2018-12 $2499
Ahh yes, this explains why they sent Jayztwocents a card for marketing purposes because he does extensive GPU compute testing.This Titan + V have both been specified as compute cards & sold and priced as such. Rich gamers a secondary market.
Titan P, in contrast, was strongly aimed at over rich gamers.
TITAN RTX NVLINK™ BRIDGE
Double the effective GPU memory capacity to 48 GB and scale performance with up to 100 GB/s in total bandwidth of data transfer utilizing the NVIDIA NVLink™ technology.
* under compute workloads, just like all their other GPUs. This isn't adding anything for SLIDouble the GPU memory capacity? Interesting difference from other RTX cards.
Couldn't find a table. Filtered one from wiki:
Code:GTX Titan 2013-02 $999 GTX Titan Black 2014-02 $999 GTX Titan Z 2014-03 $2999 GTX Titan X 2015-03 $999 Titan X 2016-08 $1200 Titan Xp 2017-04 $1200 Titan V 2017-12 $2999 Titan V CEO 2018-06 - Titan RTX 2018-12 $2499
Who is buying 2 of these?
They never even wrote the drivers for gaming on Volta properly, I think? Close to Turing so it might work out all right but not really a good idea.
You have to be pretty cautious about 7nm providing an instant replacement. The big Turing chips are truly massive so even at 7nm they'll need petty big dies to go meaningfully past them.
Won't be remotely easy or cheap at this point.
I've seen 3 Titan V CEO Editions sold so far in the used market, one at $4k and two at $5k.
32GB HBM2 at 900GB/s, with a slight overclock can hit 1.2TB/s.
If you bought one for gaming it would be a pretty crazy gaming card, given how well Volta/Turing seems to scale with memory bandiwdth (nearly as well as with core OC).
I was curious about this, so I tried some benchmarking with Unigine Superposition on 4K optimized settings with the RTX 2080 Ti.
Despite boosting less on the core to 1890 +/- 30 with a +900 memory setting (versus 1925-1950 w/+800 memory) due to 112% power limit, my score in the benchmark went up significantly. So it appears you are indeed correct and that my gains from memory overclocking scale nearly as well (if not better).
