![]() The card measures 267 mm in length, and features a dual-slot cooling solution. Tesla K80 is connected to the rest of the system using a PCI-Express 3.0 x16 interface. This device has no display connectivity, as it is not designed to have monitors connected to it. ![]() The GPU is operating at a frequency of 562 MHz, which can be boosted up to 824 MHz, memory is running at 1253 MHz (5 Gbps effective).īeing a dual-slot card, the NVIDIA Tesla K80 draws power from 1x 8-pin power connector, with power draw rated at 300 W maximum. NVIDIA has paired 24 GB GDDR5 memory with the Tesla K80, which are connected using a 384-bit memory interface per GPU (each GPU manages 12,288 MB). It features 2496 shading units, 208 texture mapping units, and 48 ROPs, per GPU. Tesla K80 combines two graphics processors to increase performance. The GK210 graphics processor is a large chip with a die area of 561 mm² and 7,100 million transistors. By default, the x87 processors all use 80-bit double-extended precision internally. Built on the 28 nm process, and based on the GK210 graphics processor, in its GK210-885-A1 variant, the card supports DirectX 12. Lastly, NVIDIA enables double precision floating point (FP64) capability on Quadro cards only (note: the new GeForce RTX also have this feature enabled). UPD2: spring 2023, you can buy P100 as low as 200$ on eBay.The Tesla K80 was a professional graphics card by NVIDIA, launched on November 17th, 2014. nVidia GTX960 -> time: 12526s (GM204 chip, 2308 GFLOPS FP32, 72.1 GFLOPS FP64) - AMD R7 370 -> time: 29533s (Pitcairn Pro, 1977 GFLOPS FP32, 124.8 GFLOPS. It supports the same features, a broad range of math precisions for AI as. FP32 (float) 4.113 TFLOPS FP64 (double) 1,371 GFLOPS (1:3) Board Design Slot Width Dual-slot Length 267 mm 10.5 inches TDP 300 W Suggested PSU 700 W Outputs No outputs Power Connectors 1x 8-pin Board Number P2080 SKU 200 Graphics Features DirectX 12 (111) OpenGL 4.6 OpenCL 3.0 Vulkan 1.2.175 CUDA 3.7 Shader Model 6. From modern ones Intel ARC is interesting, but I haven't checked it myself yet (UPD it looks like there is no native support of FP64 in ARCs, removing). Nvidia's A30 compute GPU is indeed A100's little brother and is based on the same compute-oriented Ampere architecture. FP64 (double) 1,210 GFLOPS (1:32) Board Design Slot Width Dual-slot Length 267 mm 10.5 inches Width 112 mm 4.4 inches TDP 300 W Suggested PSU 700 W Outputs 4x DisplayPort 1. Table 5.8 Nvidia's ampere A100 specifications Nvidia A100 specifications Transistor count Die size 54 billion 826 mm2 FP64 CUDA cores 3456 FP32 CUDA cores. Best performance per dollar is of Titan (Black) and 7990/7970/280x. That’s right, there is no emulation going on here. Anyone who would disagree is just a shill.Īlmost exhaustive list up to 0.5 TFLOPS. The N64 SP is quite a bit larger, but still very impressive when you consider that it has a real Nintendo 64 motherboard inside. Pure greed and crap engineering by the NVidia people who know they can shaft you if you want to do complex math ( like add and subtract ) with circa 1988 math in FP64 bits. Even worse you need a special license and driver to use a GV100 if you own one and NVidia jams you again. That is why the Keplar worked great and then the FP64 was taken away and hidden. The gamers don't give a damn because they just want pixels on the screen but anyone doing real work gets jammed hard for maximum dollars. As soon as NVidia figured out they could jam people for big money the FP64 capability suddenly went away and everything after the Keplar was sold as brain damaged. Everyone on the planet can do addition and subtraction and other operations with 64 bit floating point and it has been that way for well over 25 years. So the ability to do IEEE754 math like the year 2008 and the original 1988 specification was removed. NVidia figured out that scientists and engineers can be jammed for massive dollars and thus the NVidia folks simply de-tuned and killed the FP64 capability on everything they sold EXCEPT for stuff that they can sell for $10,000 and up.
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