NVIDIA RTX 2070 Specs Leaked – 2304 Cores, 8GB GDDR6 at ~$400

Aug 18, 2018 08:10 PM EDT

We're less than 48 hours away from NVIDIA's big GeForce 20 series launch event at Gamescom and we've seen nothing short of an avalanche of leaks detailing dozens of custom RTX 2080 Ti & RTX 2080 cards as well as detailed specifications of both since the company's Turing announcement last Monday. Although none had to do with perhaps the most exciting GeForce 20 series graphics cards of them all, the RTX 2070. That is until today.

NVIDIA GeForce RTX 2070 Specs Leaked - 2304 CUDA Cores & 8GB GDDR6

As opposed to the GeForce RTX 2080 which has been confirmed to feature 23 Turing SMs with a total of 2944 CUDA cores, the RTX 2070 will come in at only 18 Turing SMs for a total of 2304 CUDA cores. One very interesting tidbit that has also come out is that the RTX 2070 will in fact feature 8GB of GDDR6 memory, rather than 7GB as was previously believed. This was claimed by two separate sources according to videocardz.

Related Story NVIDIA Ampere Specs, Performance, Pricing Leaked – Massively Faster Ray Tracing, Higher Clocks, More vRAM & Lower TDP vs. Turing

Based on the above specifications, we can extrapolate that the card will likely feature a 256-bit GDDR6 memory interface for a total of 448GB/s of bandwidth, assuming 14gbps GDDR6 memory is employed or 384GB/s of bandwidth if the company opts for slightly slower 12gbps GDDR6. Alternatively, NVIDIA may again be employing a form of memory segmenting like it did with the GTX 970. Although with the immense infamy that solution has garnered it's not likely we will see it again.

GeForce 20 series lineup, according to AdoredTV

NVIDIA GeForce RTX 2080 – $500-$700 US (50% Faster Than 1080)

NVIDIA GeForce RTX 2070 – $300-$500 US (40% Faster Than 1070)

NVIDIA GeForce GTX 2060  – $200-$300 US (27% Faster Than 1060)

NVIDIA GeForce GTX 2050  – $100-$200 US (50% Faster Than 1050 Ti)

 

NVIDIA GeForce RTX 2070 - Performance, Price & Launch Date

The GeForce RTX 2070 is set to launch sometime in September, following the debut of the RTX 2080 Ti and RTX 2080 next Monday, at an estimated suggested price of ~$400 give or take a hundred bucks. The card is said to slightly outperform NVIDIA's current GeForce GTX 1080 by roughly 8%, but not quite match the GTX 1080 Ti.

18 Turing SMs running at the same clock speeds of NVIDIA's RTX Quadro series, which is about ~1.7GHz would generate roughly 8 TFLOPS of single precision compute performance. That's roughly right around what the GTX 1080 is capable of.

Although it's worthy of note that improvements to the inner-workings of the graphics architecture allows it to make more use of its TFLOPS than Pascal, which would put the RTX 2070 ahead of the GTX 1080 as previous leaks have suggested. Not to mention the built-in acceleration for next generation lighting engines using ray-tracing technology.

Turing is said to reach 2GHz clock speeds with a bit of overclocking, with that factored in the RTX 2070 could very well end up being a bargain GTX 1080 Ti once overclocked. In combination with an attainable price tag of $400 or right around it, the RTX 2070 will very likely be the go-to graphics card in the Turing line-up.

NVIDIA GeForce 20 Series Preliminary Specifcations

Graphics Card NameNVIDIA GeForce GTX 2050 NVIDIA GeForce GTX 2060NVIDIA GeForce RTX 2070NVIDIA GeForce RTX 2080NVIDIA GeForce RTX 2080 Ti
GPU ArchitectureTuring GPUTuring GPUTuring GPUTuring GPUTuring GPU
Process12nm NFF12nm NFF12nm NFF12nm NFF12nm NFF
CUDA CoresTBDTBD2304 Cores2944 Cores4352 Cores
TMUs/ROPsTBDTBDTBDTBDTBD
CacheTBDTBDTBDTBD6 MB L2 Cache
Base ClockTBDTBDTBDTBDTBD
Boost ClockTBDTBDTBDTBDTBD
ComputeTBDTBDTBDTBDTBD
Memory4 GB GDDR55 GB GDDR68 GB GDDR68 GB GDDR611 GB GDDR6
Memory Speed8.00 Gbps12 Gbps12-14 Gbps14 Gbps14 Gbps
Memory Interface128-bit192-bit256-bit256-bit352-bit
Memory Bandwidth128 GB/s288 GB/s384-448 GB/s448 GB/s616 GB/s
TDPTBDTBD~180W~210W250W
Price~$150 US~$300 US~$400 US$699 US$899 US
LaunchNovember 2018?October 2018?September 2018August 2018August 2018

 

 

 

 

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