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26th January 2019, 15:32 | #81 | Link |
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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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15th February 2019, 18:14 | #83 | Link |
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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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15th February 2019, 18:28 | #84 | Link |
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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. |
15th February 2019, 20:01 | #85 | Link | |
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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. Quote:
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15th February 2019, 22:50 | #86 | Link |
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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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16th February 2019, 10:44 | #92 | Link |
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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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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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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? Last edited by huhn; 27th February 2019 at 14:01. |
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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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. Quote:
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:
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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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.
Quote:
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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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