This split ends up being very similar to what NVIDIA eventually did with the Fermi generation of Tesla products such as the M2090 and M2075, spacing their products not only by performance and pricing, but also by power consumption. Built on the 28 nm process, and based on the GK110 graphics processor, the card supports DirectX 12. This brings us to today. NVIDIA has split up what was previously announced as a single GPU into two GPUs: K20 and K20X. K20 meanwhile will be cheaper, a bit slower, and perhaps most importantly lower power at 225W. At the time we knew quite a bit about its functionality, but not its pricing, configuration, or performance. When NVIDIA first announced K20 back in May we were given a number of details about the GK110 GPU that would power it, but because they were still in the process of bringing up the final silicon for GK110 we knew little about the shipping configuration for K20. K20 gives up 1 SMX and 1 memory controller, giving it 13 SMXes, 5 memory controllers, 1.25MB of L2 cache, and 5GB of GDDR5. K20X is the more powerful of these GPUs, featuring 14 active SMXes along with all 6 memory controllers and 1.5MB of L2 cache, attached to 6GB of GDDR5. It will be clocked at 732MHz for the core clock and 5.2GHz for the memory clock. Being a dual-slot card, the NVIDIA Tesla K20m draws power from 1x 6-pin + 1x 8-pin power connector, with power draw rated at 225 W maximum.

The Tesla K20X was an enthusiast-class professional graphics card by NVIDIA, launched in November 2012.

With Titan complete NVIDIA can now focus their attention and their GPU allocations towards making the Tesla K20 family available to the public at large. And the S9000 and S7000 that was also thrown in the pipeline?Just like the gtx650 that never got it's own review. We’ve updated our terms. NVIDIA has paired 5 GB GDDR5 memory with the Tesla K20m, which are connected using a 320-bit memory interface. NVIDIA has paired 6 GB GDDR5 memory with the Tesla K20X, which are connected using a 384-bit memory interface. Moving on, at the moment NVIDIA is showing off the passively cooled K20 family design, confirming in the process that both K20 and K20X can be passively cooled as is the standard for servers. Enabling ECC will cause some of the memory to be used for the ECC bits, so the user available memory will decrease by 10%. We first saw Tesla K20 at NVIDIA’s 2012 GPU Technology Conference, where NVIDIA first announced the K20 along with the already shipping K10. More recently, upon completion of K20 NVIDIA has dedicated most of the initial allocation to Below K20X will be the regular K20. They are programmable using the CUDA or OpenCL APIs. With SC12 and the announcement of the new Top500 list as their backdrop, today NVIDIA will be officially launching the Tesla K20 family of compute GPUs. The Tesla K20X was an enthusiast-class professional graphics card by NVIDIA, launched in November 2012. The Tesla K20 can be configured by the OEM or by the end user to enable or disable ECC that can fix single-bit errors and detect double-bit errors.