1/9/2024 0 Comments Nvidia gtx titan fp64Altogether GK110 is a massive chip, coming in at 7.1 billion transistors, occupying 551mm2 on TSMC’s 28nm process.įor Titan NVIDIA will be using a partially disabled GK110 GPU. These SMXes are in turn paired with GK110’s 6 ROP partitions, each one composed of 8 ROPs, 256KB of L2 cache, and connected to a 64bit memory controller. Every GK110 packs 192 FP32 CUDA cores, 64 FP64 CUDA cores, 64KB of L1 cache, 65K 32bit registers, and 16 texture units. GK110 is composed of 15 of NVIDIA’s SMXes, each of which in turn is composed of a number of functional units. We’ve covered GK110 in depth from a compute perspective, so many of these numbers should be familiar with our long-time readers. By virtue of this being the 2 nd product to be launched based off the GK110 GPU, there are no great mysteries here about GK110’s capabilities. For that you will have to come back on Thursday, when we can give you our benchmarks and performance analysis.ĭiving right into things then, at the heart of the GeForce GTX Titan we have the GK110 GPU. Today we can tell you all about Titan – its specs, its construction, and its features – but not about its measured performance. Much like the launch of the GTX 690 before it, NVIDIA intends to stretch this launch out a bit to maximize the amount of press they get. But not until months later, after NVIDIA had the chance to start filling Tesla orders. In the end, yes, GK110 would come to the consumer market. 18,688 551mm2 GPUs for a single customer is a very large order, and at the same time orders for Tesla K20 cards were continuing to pour in each and every day after GTC. Meanwhile the Titan supercomputer was a major contract for NVIDIA, and something they needed to prioritize. From a practical perspective GTX 680 was still clearly in the lead over AMD’s Radeon HD 7970. In NVIDIA’s mind there’s only one name suitable for the first consumer card born of the same GPU as their greatest computing project: GeForce GTX Titan.Īt the time of the GK110 launch at GTC, we didn’t know if and when GK110 would ever make it down to consumer hands. Ready to bring their big and powerful GK110 GPU to the consumer market, in typical NVIDIA fashion they intend to make a spectacle of it. With the launch of the Titan supercomputer and the Tesla K20 family now behind them, NVIDIA is now ready to focus their attention back on the consumer market. More to the point however, winning contracts like Titan are a major source of press and goodwill for the company, and goodwill the company intends to capitalize on. Their GPU computing business is still relatively small – consumer GPUs dwarf it and will continue to do so for the foreseeable future – but it’s now a proven business for NVIDIA. A fledging business merely two generations prior, NVIDIA and their Tesla family have quickly shot up in prestige and size, much to the delight of NVIDIA. The Titan supercomputer was a major win for NVIDIA, and likely the breakthrough they’ve been looking for. Or perhaps as it’s better known, the GPU at the heart of the world’s fastest supercomputer, Oak Ridge National Laboratory’s Titan supercomputer. Oak Ridge National Laboratory's Titan Supercomputer Rather than launching in a consumer product first, GK110 was first launched as the heart of NVIDIA’s Tesla K20 family of GPUs, the new cornerstone of NVIDIA’s rapidly growing GPU compute business. Taped out later than the rest of the Kepler family, GK110 has taken a slightly different route to get to market. Building upon NVIDIA’s work with GK104 while at the same time following in the footsteps of NVIDIA’s compute-heavy GF100 GPU, GK110 would be NVIDIA’s magnum opus for the Kepler family. First introduced at GTC 2012, GK110 as it would come to be known would be NVIDIA’s traditional big, powerful GPU for the Kepler family. The end result of this efficiency paid off nicely for NVIDIA, with GTX 680 handily surpassing AMD’s Radeon HD 7970 at the time of its launch in both raw performance and in power efficiency.īig Kepler was not forgotten however. In place of “Big Kepler”, we got a lean GPU that was built around graphics first and foremost, focusing on efficiency and in the process forgoing a lot of the compute performance NVIDIA had come to be known for in the past generation. So when the Kepler family launched first with the GK104 and GK107 GPUs – powering the GeForce GTX 680 and GeForce GT 640M respectively – it was unusual to say the least. NVIDIA had always produced a large 500mm2+ GPU to serve both as a flagship GPU for their consumer lines and the fundamental GPU for their Quadro and Tesla lines, and have always launched with that big GPU first. Over the years NVIDIA has come to be known among other things for their big and powerful GPUs. The launch of the Kepler family of GPUs in March of 2012 was something of a departure from the normal for NVIDIA.
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