The RTX 2070 has 288 Turing tensor cores (eight per SM) and 36 Turing RT cores (one per SM). Like its bigger Turing siblings, the RTX 2070 also features some resources devoted to the acceleration of certain ray-tracing operations. Keeping more data close to the execution units that can digest it is one reliable way to improve performance, and the on-chip cache of TU106 can certainly claim a much greater endowment in that regard compared to its Pascal predecessor. The RTX 2070 has twice as much L2 cache as the GTX 1070, at 4 MB versus 2 MB, and the total size of its register files (distributed among each SM) has ballooned to 9.216 MB, versus 3.840 MB on the GTX 1070. Other Turing architectural changes might not show up in our tables, but they're still important. Here's how that stacks up versus some of today's most popular graphics cards: TU106 has 144 texture units, 64 ROPs, and a 256-bit bus to 8 GB of GDDR6 memory running at 14 Gbps. From the top, this chip uses three Turing graphics processing clusters (or GPCs), each with 12 streaming multiprocessors (SMs) for a total of 36 graphics-processing "cores." Each of those SMs has 64 shader ALUs, or CUDA "cores," for a total of 2304 such resources. The smallest Turing sibling introduces a third chip powered by Nvidia's latest architecture called TU106. With the bad news out of the way, here's what we know so far about the RTX 2070. Stay tuned for more details on those chips soon.Ī block diagram of the TU106 GPU. We're working to obtain one of those cards as soon as we can to review in depth, but my test bench (and attention) is presently occupied by Intel's Core i9-9900K and a raft of other CPUs.
First, the bad news: we don't have an RTX 2070 in the TR labs for testing. Nvidia's GeForce RTX 2070 graphics card launches this morning.
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