geforce gtx 1660 ti xc ultra gaming neat image

#GEFORCE GTX 1660 TI XC ULTRA GAMING NEAT IMAGE FULL#

But past that, the two cards are closer in specifications than we might expect to see for a $70 price tag difference, especially as NVIDIA has kept the 6GB of GDDR6 on a 192-bit memory bus. For this fully-enabled TU116 card, NVIDIA has dialed back on the number of SMs a bit, going from 30 to 24, and memory clockspeeds have dropped as well, from 14Gbps to 12Gbps. Or to flip things around the other direction, versus the older Pascal and Maxwell-based video cards, it comes with all of Turing’s performance and efficiency benefits for traditional graphics workloads.Ĭompared to RTX 2060 then, the GTX 1660 Ti is actually rather similar. This means that it has the same core architecture in its SMs, and is directly comparable to the likes of the RTX 2060.

#GEFORCE GTX 1660 TI XC ULTRA GAMING NEAT IMAGE FULL#

We’ll go into the full ramifications of what NVIDIA has (and hasn’t) taken out of TU116 on the next page, but at a high level it’s still every bit a Turing GPU, save the RTX functionality (RT and tensor cores). Launching today at $279, it’s destined to replace NVIDIA’s GTX 1060 6GB in the market and is NVIDIA’s new challenger for the mainstream video card market.

Kicking things off in turn for this new GPU is NVIDIA’s latest video card, the GeForce GTX 1660 Ti. That GPU is TU116, and it’s part of what will undoubtedly become a new sub-family of Turing GPUs for NVIDIA as the company starts rolling out Turing into the lower half of the video card market. Which is all workable for NVIDIA in the high-end market where they are unchallenged and can essentially dictate video card prices, but it’s another matter entirely once you start approaching the mid-range, where the AMD competition is alive and well.Ĭonsequently, in preparing for their cheaper, sub-$300 Turing cards, NVIDIA had to make a decision: do they keep the RT and tensor cores in order to offer these features across the line – at a literal cost to both consumers and NVIDIA – or do they drop these features in order to make a leaner, more competitive chip? As it turns out, NVIDIA has opted for the latter, producing a new Turing GPU that is leaner and meaner than anything that’s come before it, but also very different from its predecessors for this reason. And while the full economic consequences that go with that decision are NVIDIA’s to bear, for the first year or so of Turing’s life, all of that die space that is driving up NVIDIA’s costs isn’t going to contribute to improving NVIDIA’s performance in traditional games it’s a value-added feature. The end result is that all of the Turing chips we’ve seen thus far, from TU102 to TU106, are monsters in size even TU106 is 445mm 2, never mind the flagship TU102. In the second sense however, NVIDIA also bet big on GPU die size: these new features would take up a lot of space on the 12nm FinFET process they’d be using. In the first sense, NVIDIA dedicated whole logical blocks to brand-new graphics and compute features – ray tracing and tensor core compute – and they would need to sell developers and consumers alike on the value of these features, something that is no easy task. When NVIDIA put their plans for their consumer Turing video cards into motion, the company bet big, and in more ways than one.

Geforce gtx 1660 ti xc ultra gaming neat image