NVIDIA's new GeForce RTX 2080 Ti is the biggest and best GeForce ever made, and while that might be true with most launches we never see the launch of the Ti version of the card until many months after. NVIDIA launched the GeForce GTX 1070 and GTX 1080 in May 2017, while the GeForce GTX 1080 Ti was unveiled in March 2018. But the problem was the GeForce GTX 980 Ti was still a powerhouse card, just without a few of the features from the new Pascal architecture.
This time around NVIDIA is launching offensively, almost as if AMD actually hit success with Radeon RX Vega, out and throwing their arms down like Henry Cavill in Mission Impossible: Fallout. The new GeForce RTX 2080 Ti is an absolutely jam packed technological orgy, with the next-gen Turing GPU architecture, on the new 12nm process, and is joined by the first use of GDDR6 memory technology.
The GeForce RTX 2080 Ti has a huge 4352 CUDA cores, 68 RT Cores, and 544 Tensor Cores - some of these new cores that come with the Turing GPU architecture won't be used much with this climate of games but expect that to change very quickly.
TU102/104 vs GP102
TU106 vs GP104
NVIDIA's new TU102 GPU is an absolute powerhouse of technology, with a huge 18.6 billion transistors on 12nm. TU102 packs 4608 CUDA cores, 72 RT Cores, 576 Tensor Cores, 288 texture units and 12 x 32-bit GDDR6 memory controllers that makes up a 384-bit memory bus.
Each of the 72 SMs on TU102 has 64 CUDA cores, 8 x Tensor Cores, a 256KB register file, 4 texture units, and 96KB of L1/shared memory that can be used in either compute or graphics workloads. Each memory controller has 8 ROP units and 512KB of L2 cache, with the full TU102 GPU packing 96 ROP units, and 6144KB of L2 cache.
NVIDIA's new TU102 GPU is joined by the cut down TU104 that has all of the new Turing features, as well as GDDR6 memory technology and NVLink. The full TU104 chip features 6 x GPCs, 48 SMs, and 8 x 32-bit memory controllers (for a total of a 256-bit memory bus). TU104 sees each GPC cluster featuring a raster unit and 4 x TCPs, with each TCP containing a PolyMorph Engine and 2 x SMs.
Inside of each SM is the exciting new RT Core, with each SM featuring 64 CUDA cores, 256KB register file, 96KB L1 data cache/shared memory cache, and four texture units. TU104 features 13.6 billion transistors, 3072 CUDA cores, 368 Tensor Cores, and 48 RT Cores. TU104 is the card that powers both the GeForce RTX 2080 and Quadro RTX 5000 cards.
TU106 will power the upcoming GeForce RTX 2070, and is a direct competitor against the GTX 1070 and will ship in October 2018. TU106 features 10.8 billion transistors, 2304 CUDA cores, 288 Tensor Cores, and 36 RT Cores. The transistor count on TU106 is much greater than its Pascal counterpart in the GP104, with the new TU106 GPU featuring 10.8 billion transistors versus the 7.2 billion inside of GP104.
TU106 has 3 x GPCs, 36 SMs, and 8 x 32-bit memory controllers (for a 256-bit memory bus, the same as the RTX 2080). NVIDIA's new TU106G GPU sees each GPC with a raster unit and 6 x TPCs, with each TPC packing a PolyMorph Engine and 2 x SMs. Each of the SMs inside of TU106 will, like TU102 and TU104, feature the new RT Core for ray tracing. Each SM packs 64 CUDA cores, 256KB register file, 96KB L1 data cache/shared memory cache, and 4 x texture units.
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- Page 1 [Introduction & Pricing/Availability]
- Page 2 [Specs: Turing GPUs]
- Page 3 [Specs: GDDR6 Memory]
- Page 4 [New Look, New Cooler, New GeForce]
- Page 5 [Detailed Look]
- Page 6 [Turing: NVLink Multi-GPU Tech]
- Page 7 [Turing: RT Cores & Tensor Cores]
- Page 8 [DLSS: Deep Learning Magic & NGX]
- Page 9 [AI To Power The Future Of Gaming]
- Page 10 [WTF IS RTX-OPS]
- Page 11 [GPU Boost 4.0 & NVIDIA Scanner]
- Page 12 [Test System Specs]
- Page 13 [Benchmarks - Synthetic]
- Page 14 [Benchmarks - 1080p]
- Page 15 [Benchmarks - 1440p]
- Page 16 [Benchmarks - 3440x1440]
- Page 17 [Benchmarks - 4K]
- Page 18 [Benchmarks - 8K]
- Page 19 [Overclocking]
- Page 20 [Heat, Power, Noise]
- Page 21 [Unrivaled Performance]
- Page 22 [More Coming Soon & Final Thoughts 1.0]
- Page 23 [Should You Buy It? & Final Thoughts 2.0]
- Page 24 [What Will AMD Do & Final Thoughts 3.0]