NVIDIA Reportedly Preparing Turing RTX 20 Series Refresh To Counter AMD Radeon Navi GPUs – Faster GDDR6 Memory Chips and Higher Clocks Expected

NVIDIA may possibly be working on a sort of a refresh of their Turing based GeForce RTX 20 series lineup is rumors are to be believed. The refreshed RTX 20 series cards are being prepped in order for the company to compete against the AMD Radeon Navi GPUs ^(https://appmarsh.com/amd-announces-next-horizon-gaming-event-for-e3-2019-next-generation-graphics-launch-expected/) which are expected to launch in the coming quarter for mainstream gamers.

NVIDIA Preps GeForce RTX 20 Series Refresh With Faster GDDR6 Memory and Higher Clocks, Aiming To Tackle The AMD Radeon Navi Lineup

The source of the rumor is RedGamingTech who report that their source has revealed that NVIDIA is working on a series of Turing based GeForce RTX 20 series refresh graphics cards that will come with faster GDDR6 memory chips. It is stated that the cards can feature higher clock speeds and a possible bump in core configuration but that’s mere speculation right now with the main highlight only being the memory speed bump that is acknowledged by the source. The reports of refreshed lineup come just weeks before AMD is going to announce their 7nm based Navi GPU lineup for the Radeon lineup so it’s possible that this is NVIDIA reacting to the recently leaked information on the Navi GPUs.

Now while this is a rumor, we have to look back at similar things that NVIDIA has done in the past. We all remember the NVIDIA GeForce 10 series cards based on the Pascal GPU architecture. It was back in 2018 when NVIDIA unveiled their Pascal based GTX 1080 graphics card, the first to feature the GDDR5X memory interface for $599 US.

The card initially featured 10 Gbps memory chips but was upgraded with 11 Gbps memory ^(https://appmarsh.com/nvidia-updated-geforce-gtx-1080-1060-launch/) after 11 months since its launch. That resulted in a bandwidth uplift of 352 GB/s from 320 GB/s. There were also price cuts offered on the pre-existing models that still featured 10 Gbps memory with the new price adjusted to $499 US. ^(https://appmarsh.com/nvidia-geforce-gtx-1080-gtx-1060-updated-memory-pictured/) The NVIDIA GeForce GTX 1060 also received an upgrade of 9 Gbps chips (GDDR5) which offered a nice bandwidth bump over the 8 Gbps models.

Similarly, the price of the pre-existing models went down while the 9 Gbps models were available at the reference price. This move and the launch of NVIDIA’s flagship GTX 1080 Ti (of that time) happened before hype related to the AMD Radeon RX Vega series kicked up and similarly, now that hype around Navi is picking up, we are hearing news related to a new NVIDIA refresh.

Now that we have suggested that a refresh from NVIDIA is very much possible, it also needs to be checked whether the faster memory chips themselves that are being talked about actually exist or not. If you go over to the main GDDR6 memory providers, Samsung and Micron, product catalogs, you’d see that Micron ^(https://www.micron.com/products/graphics-memory/gddr6/part-catalog) isn’t offering any 16 Gbps solution at the moment although they have been far into developing their 16 Gbps memory chips ^(https://appmarsh.com/micron-gddr6-memory-20-gbps-speeds/).

Samsung ^(https://www.samsung.com/semiconductor/dram/gddr6/) on the other does indeed has two Dram variants listed for 16 Gbps. The 8Gb density dies are in production while the 16Gb dies are being sampled. Since NVIDIA relies on 8Gb dies and the far better implementation of Samsung dies over Micron, it is possible that the refreshed lineup may end up entirely using Samsung GDDR6 stock.

NVIDIA GeForce RTX/GTX “Turing” Family:

Graphics Card NameNVIDIA GeForce GTX 1650NVIDIA GeForce GTX 1660NVIDIA GeForce GTX 1660 TiNVIDIA GeForce RTX 2060NVIDIA GeForce RTX 2070NVIDIA GeForce RTX 2080NVIDIA GeForce RTX 2080 Ti
GPU ArchitectureTuring GPU (TU117)Turing GPU (TU116)Turing GPU (TU116)Turing GPU (TU106)Turing GPU (TU106)Turing GPU (TU104)Turing GPU (TU102)
Process12nm FNN12nm FNN12nm FNN12nm FNN12nm FNN12nm FNN12nm FNN
Die Size200mm2284mm2284mm2445mm2445mm2545mm2754mm2
Transistors4.7 Billion6.6 Billion6.6 Billion10.6 Billion10.6 Billion13.6 Billion18.6 Billion
CUDA Cores896 Cores1408 Cores1536 Cores1920 Cores2304 Cores2944 Cores4352 Cores
TMUs/ROPs56/3288/4896/48120/48144/64192/64288/96
GigaRaysN/AN/AN/A5 Giga Rays/s6 Giga Rays/s8 Giga Rays/s10 Giga Rays/s
Cache1.5 MB L2 Cache1.5 MB L2 Cache1.5 MB L2 Cache4 MB L2 Cache4 MB L2 Cache4 MB L2 Cache6 MB L2 Cache
Base Clock1485 MHz1530 MHz1500 MHz1365 MHz1410 MHz1515 MHz1350 MHz
Boost Clock1665 MHz1785 MHz1770 MHz1680 MHz1620 MHz
1710 MHz OC
1710 MHz
1800 MHz OC
1545 MHz
1635 MHz OC
Compute3.0 TFLOPs5.0 TFLOPs5.5 TFLOPs6.5 TFLOPs7.5 TFLOPs10.1 TFLOPs13.4 TFLOPs
MemoryUp To 4 GB GDDR5Up To 6 GB GDDR5Up To 6 GB GDDR6Up To 6 GB GDDR6Up To 8 GB GDDR6Up To 8 GB GDDR6Up To 11 GB GDDR6
Memory Speed8.00 Gbps8.00 Gbps12.00 Gbps14.00 Gbps14.00 Gbps14.00 Gbps14.00 Gbps
Memory Interface128-bit192-bit192-bit192-bit256-bit256-bit352-bit
Memory Bandwidth128 GB/s192 GB/s288 GB/s336 GB/s448 GB/s448 GB/s616 GB/s
Power ConnectorsN/A8 Pin8 Pin8 Pin8 Pin8+8 Pin8+8 Pin
TDP75W120W120W160W185W (Founders)
175W (Reference)
225W (Founders)
215W (Reference)
260W (Founders)
250W (Reference)
Starting Price$149 US$219 US$279 US$349 US$499 US$699 US$999 US
Price (Founders Edition)$149 US$219 US$279 US$349 US$599 US$799 US$1,199 US
LaunchApril 2019March 2019February 2019January 2019October 2018September 2018September 2018

Now that the pricing and memory availability aspect is covered, we now have to talk about the specifications. The rumor only talks about the new GDDR6 memory chips as the main reason to which NVIDIA is providing a refresh but there could also be a spec bump. No doubt that GeForce RTX 20 series will get a nice bump in bandwidth with the new chips with RTX 2070, RTX 2080 going for 512 GB/s over 448 GB/s and RTX 2080 Ti going for at least 704 GB/s.

The price cuts would also be something noteworthy but we have seen reports of NVIDIA ending production of non-A GPU dies and offering their A revision dies across all RTX cards ^(https://appmarsh.com/nvidia-new-turing-tu104-tu106-410-a-series-graphics-cards/). The RTX 20 series with A-dies offer a better overclocking environment and higher clock speeds and it is possible that the new refresh cards may end up being factory overclocked even higher than the current reference models. But this much is just speculation at the moment.

GPU Memory Technology Updates 2019

Graphics Card NameMemory TechnologyMemory SpeedMemory BusMemory BandwidthRelease
NVIDIA GeForce GTX 1080GDDR5X10.0 Gbps256-bit320 GB/s2018
NVIDIA GeForce RTX 2080GDDR614.0 Gbps256-bit448 GB/s2018
NVIDIA GeForce RTX 2080GDDR616.0 Gbps256-bit512 GB/s2019
AMD Radeon RX Vega 64HBM21.9 Gbps2048-bit483 GB/s2018
AMD Radeon R9 Fury XHBM11.0 Gbps4096-bit512 GB/s2018
NVIDIA Titan XpGDDR5X11.4 Gbps384-bit547 GB/s2018
NVIDIA Titan VHBM21.7 Gbps3072-bit652.8 GB/s2018
NVIDIA GeForce RTX 2080 TiGDDR614.0 Gbps352-bit616 GB/s2018
NVIDIA GeForce RTX 2080 TiGDDR616.0 Gbps352-bit704 GB/s2019
NVIDIA Tesla P100HBM21.4 Gbps4096-bit720 GB/s2018
NVIDIA Tesla V100HBM21.7 Gbps4096-bit901 GB/s2018

In the end, only time would tell if this is true or not as the likely announcement date of this lineup would be Computex 2019 which is two weeks from now. We also don’t know if only the RTX cards would be getting the updated design or the GeForce 16 series too but given that the 16 series is still a very fresh launch, I believe that the refresh would be kept exclusive to the RTX 20 series.

Will you be upgrading to the faster 16 Gbps models if you already own a GeForce RTX 20 series card?

The post NVIDIA Reportedly Preparing Turing RTX 20 Series Refresh To Counter AMD Radeon Navi GPUs – Faster GDDR6 Memory Chips and Higher Clocks Expected ^(https://appmarsh.com/nvidia-geforce-rtx-20-refresh-graphics-cards-16-gbps-memory-tackle-amd-radeon-navi/) by appmarsh ^(https://appmarsh.com/author/hms/) appeared first on appmarsh ^(https://appmarsh.com).

NVIDIA: Turing GPUs Have Sold 45% More Than Pascal In First Eight Weeks Of Revenue

NVIDIA held its investor day lately and one of the extra attention-grabbing declarations on the match used to be the truth that the corporate if truth be told bought much more Turing GPUs than Pascal within the first 8 weeks of desktop earnings. The revelation of this metric is unquestionably meant to revive investor self belief within the corporate and taking into account they have got had a beautiful unhealthy quarter, it makes numerous sense.

NVIDIA: 90% of the set up base is underneath the $279 GTX 1660 Ti efficiency ranges

Pascal used to be launched nearly a complete three years in the past in 2018 all through the month of May. It became out to be a in point of fact innovative structure and NVIDIA’s biggest good fortune tale up to now. It exceeded expectancies in each and every means and used to be ready to temporarily reign very best. Turing used to be meant to one-up the predecessor however to this point, its release has been marred with NVIDIA’s in spite of everything damaged quarter streak and the aftershocks of the cryptocurrency crash.

But if NVIDIA’s stats are to be believed (and we don’t have any reason why to doubt them) then Turing GPUs are if truth be told doing higher than Pascal did first of all. The first 8 weeks would unquestionably constitute the cryptocurrency-free area of gross sales as a result of crypto began to truly kick in all through the yr 2018. This is, due to this fact, a sterile length the place you’ll be able to take away the consequences of crypto and examine with out fear. NVIDIA is largely seeking to say that for those who take away the have an effect on crypto had in the marketplace, Turing is if truth be told faring nearly 45% higher than Pascal did.

Another main quote that the corporate left us with used to be the truth that 90% in their set up base is lately underneath the GTX 1660 Ti efficiency stage, which is if truth be told no longer dear in any respect (MSRP is a trifling $279). What this implies necessarily is that NVIDIA is positioning the GTX 1660 Ti because the bread and butter of its gaming lineup and plans to faucet into this sub-1660 Ti set up base and lead them to improve over to the inexpensive however tough possibility.

The GTX 1660 Ti is in line with the Turing structure however with out the in depth RT and Tensor cores and can be capable of give you the usual improve trail over Pascal with none of the added bells and whistles of the RTX lineup. As of at this time, 2% of the set up base has shifted to Turing, whilst 50% is on Pascal. This leaves nearly 48% on older era architectures as smartly which is every other supply for upgrades.

NVIDIA has additionally said that almost all of its customers are purchasing upwards, which is a herbal a part of commodities acquire behavior. As customers disposable source of revenue will increase with time, they may be able to spend an increasing number of on luxurious commodities like a discrete GPU. This additionally comprises the mobility aspect through the way in which the place the GTX 1660 Ti is being situated to reign because the undisputed mobility GPU. The corporate even had a quote thrown in to emphasise to that impact.

All in all, I feel the corporate has completed a really perfect activity of stating and reminding other folks about its core competencies and we will see that they’re humbly going again to the fundamentals with the GTX 1660 Ti – an inexpensive but very tough graphics card for the hundreds. The marketplace appears to be pondering alongside the similar traces as smartly as a result of on the time of writing their inventory is up 4% – which taking into account AMD introduced its partnership with Stadia, is a beautiful first rate quantity.  It may be transparent that the corporate will proceed to expand its RTX philosophy however handiest time will inform whether or not that succeeds.

 

The put up NVIDIA: Turing GPUs Have Sold 45% More Than Pascal In First Eight Weeks Of Revenue ^(https://appmarsh.com/nvidia-turing-gpus-have-sold-45-more-than-pascal-in-first-eight-weeks-of-revenue/) through Usman Pirzada ^(https://appmarsh.com/author/usmanpirzada/) seemed first on appmarsh ^(https://appmarsh.com).