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Old 26th January 2019, 15:32   #81  |  Link
NikosD
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It seems that we only have to wait till February 15 and spend around 280$ in order to get a 1660 Ti.

Let's wait for reviews to find out if the performance is closer to 1070 or 1060.

https://www.tomshardware.com/news/nv...lit,38505.html
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Old 27th January 2019, 06:59   #82  |  Link
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I am interested in Intel's dGPU(Gen 12) in 2020
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Old 15th February 2019, 18:14   #83  |  Link
NikosD
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Tough times for nVidia...But why ?

RTX is such a successful implementation with such a good price

https://www.anandtech.com/show/13965...full-year-gain
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Old 15th February 2019, 18:28   #84  |  Link
videoh
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Not so tough:

"For the full fiscal year though, earnings were still very solid, with revenue up 21% to $11.7 billion, and an overall gross margin of 61.2%, up 1.3% from 2018. Operating income was $3.8 billion, up 19%, and net income was $4.1 billion, up 36%. Earnings-per-share for all of 2019 came in at $6.63, 38% higher than 2018."

And don't forget nVidia also has about a 2 to 1 market share advantage over AMD, whose Radeon 7 has been a disappointment.

I'm loving my RTX 2080 Ti! The Turing SDK is out now and life is swell.

Last edited by videoh; 15th February 2019 at 18:34.
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Old 15th February 2019, 20:01   #85  |  Link
huhn
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doesn't change that the company lost more than 30 % of it's worth in the last couple of month.

reviews and customer are not thrilled by these RTX cards.

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I'm loving my RTX 2080 Ti! The Turing SDK is out now and life is swell.
this wasn't available on release date?
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Old 15th February 2019, 22:50   #86  |  Link
nevcairiel
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Losses or not, without competition its not going to really matter, and AMD has only had very weak showings.
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Old 16th February 2019, 00:17   #87  |  Link
huhn
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it clearly doesn't matter for the consumer and it shouldn't matter in the long run.

but if you are at the stock market than this is important. if is justified or not doesn't matter for the stock market.
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Old 16th February 2019, 00:37   #88  |  Link
videoh
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Yeah, every time the nVidia stock price changes, the performance of my RTX 2080 Ti follows right along.

nVidia haters are getting desperate!
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Old 16th February 2019, 01:17   #89  |  Link
huhn
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did you even read what i said?

i take it now as an compliant to be known as an nvida and AMD hater.
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Old 16th February 2019, 04:20   #90  |  Link
videoh
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Haters gonna hate.

Work on your English and grammar; you're embarrassing yourself.
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Old 16th February 2019, 10:29   #91  |  Link
huhn
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thank you for your contribution to this topic.
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Old 16th February 2019, 10:44   #92  |  Link
NikosD
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One of the most terrifying moments that I recently had, was without doubt the reading of the following article:

https://www.tomshardware.com/news/so...res,38564.html

SoftBank, a large investment fund, sold all of its nVidia shares - around 3.6 billion $ ! - due to low sales and no bright future ahead.

I have to repeat myself unfortunately.

Tough times for nVidia...
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Last edited by NikosD; 16th February 2019 at 10:47.
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Old 22nd February 2019, 22:49   #93  |  Link
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Let's keep it on topic, folks
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Old 24th February 2019, 17:21   #94  |  Link
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1660 Ti is eventually out as a new TU116 which is a Turing architecture die but without RT and Tensor cores.

The performance is close to 1070, so it's like 40% faster than 1060 6GB in games, but with the same TDP of around 120W.

With an MSRP price of 280$ it's definitely the most interesting Turing card to buy nowadays.
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Old 27th February 2019, 13:58   #95  |  Link
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the 1660 ti give me a lot of question marks.

first is DLSS which pretty much lowers picture quality to increases performance so something i see as useful for a not high end GPU but it's missing i totally see why RT core are missing they are pretty useless on such a card but tensor cores?

next is the GPU size the relative TU116 size compare to a TU106 show it's only a little bit smaller per cuda core. the next thing are the design diagrams: https://www.pcgamesn.com/wp-content/...-Turing-SM.jpg
so TU116 has dedicated FP16 cores where we can't see them on TU106 so the tensor core are doing the FP16 math?

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Old 27th February 2019, 14:40   #96  |  Link
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It's quite likely that the tensor cores are being recycled to do the FP16 math, it's far more likely then actually making new hardware.

The reason full tensor cores are disabled is the same old story, feature segmentation. They reckon gaming doesn't really need it, and they don't want some workstation loads going for cheap cards.

DLSS is specifically designed to offset RT cost. It's not designed to allow 4K gaming on low-end hardware. These are 1080p GPUs, the quality loss would probably be too extreme on that resolution (since it's more apparent in lower DPI)
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Old 27th February 2019, 15:24   #97  |  Link
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i highly doubt DLSS is designed to off set RT it clearly very important for RT with it's very medicore performance but there are games that support DLSS but no RT like final fantasy 15 and DLSS can be used an alternative form of AA.
so even on a 1080p screen it has it's uses it just depends how it is used.

if i'm not mistaken metro exodus "struggles" to say it friendly with DLSS at "low" resolution but it wasn't used for super sampling in that game AFAIK.
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The reason full tensor cores are disabled is the same old story, feature segmentation. They reckon gaming doesn't really need it, and they don't want some workstation loads going for cheap cards.
i totally understand your argument.
but i have to argue giving more user access to this specialised feature should create more program that use it and so more demand for these cards.

Quote:
It's quite likely that the tensor cores are being recycled to do the FP16 math, it's far more likely then actually making new hardware.
i didn't knew they could do that i through they where extremely specialized in matrix operations.
i mean they can do some operation/outputs in FP32 so clearly not optimised for pure FP16

and the next thing is FP16 processing affecting tensor core performance unlike int32/FP32? if they are the reason turing can do great FP16 it has to be like this.
as a comparison polaris can do FP16 at the same speed as FP32 while pascal can do 1/64 of the FP32 so this is huge opportunity to write/modify programs that benefit from this.

(i take on paper numbers not real world test here)
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Old 27th February 2019, 18:25   #98  |  Link
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According to anandtech, based on nVidia sources the design of TU116 is unique regarding FP16 support, introducing for the first time dedicated FP16 cores.
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Of course, as we just discussed, the Turing Minor does away with the tensor cores in order to allow for a learner GPU. So what happens to FP16 operations?
As it turns out, NVIDIA has introduced dedicated FP16 cores!

These FP16 cores are brand new to Turing Minor, and have not appeared in any past NVIDIA GPU architecture.
Their purpose is functionally the same as running FP16 operations through the tensor cores on Turing Major: to allow NVIDIA to dual-issue FP16 operations alongside FP32 or INT32 operations within each SM partition.
And because they are just FP16 cores, they are quite small. NVIDIA isn’t giving specifics, but going by throughput alone they should be a fraction of the size of the tensor cores they replace.
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Old 27th February 2019, 20:41   #99  |  Link
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there is the next thing that puzzles me.
turing is supposed to be able to do integer and float at the same time but can it do FP16, FP32 and int32 at the same time? they are different cores aren't they?
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Old 27th February 2019, 21:04   #100  |  Link
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The normal Turing SM core can do int and FP at the same time now. On big-turning, FP16 can be done by the tensor cores, so it can also run in parallel - and on little-turing, the dedicated FP16 cores, if they are recycled tensor cores or not.
In Volta, the SM cores did FP16 still. This is also a Turing change.

I don't think they can tripple-issue commands to the same SM unit though, so it'll probably not actually do all three at the same time, but it may be flexible to do any two at the same time.
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