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[JEMC]

Nvidia has given some details and a comparison chart of Pascal through their blog:

https://devblogs.nvidia.com/parallelforall/inside-pascal/

Like previous Tesla GPUs, GP100 is composed of an array of Graphics Processing Clusters (GPCs), Streaming Multiprocessors (SMs), and memory controllers. GP100 achieves its colossal throughput by providing six GPCs, up to 60 SMs, and eight 512-bit memory controllers (4096 bits total). The Pascal architecture’s computational prowess is more than just brute force: it increases performance not only by adding more SMs than previous GPUs, but by making each SM more efficient. Each SM has 64 CUDA cores and four texture units, for a total of 3840 CUDA cores and 240 texture units.

 

Tesla Products	Tesla K40	Tesla M40	Tesla P100
GPU	GK110 (Kepler)	GM200 (Maxwell)	GP100 (Pascal)
SMs	15	24	56
TPCs	15	24	28
FP32 CUDA Cores / SM	192	128	64
FP32 CUDA Cores / GPU	2880	3072	3584
FP64 CUDA Cores / SM	64	4	32
FP64 CUDA Cores / GPU	960	96	1792
Base Clock	745 MHz	948 MHz	1328 MHz
GPU Boost Clock	810/875 MHz	1114 MHz	1480 MHz
FP64 GFLOPs	1680	213	5304
Texture Units	240	192	224
Memory Interface	384-bit GDDR5	384-bit GDDR5	4096-bit HBM2
Memory Size	Up to 12 GB	Up to 24 GB	16 GB
L2 Cache Size	1536 KB	3072 KB	4096 KB
Register File Size / SM	256 KB	256 KB	256 KB
Register File Size / GPU	3840 KB	6144 KB	14336 KB
TDP	235 Watts	250 Watts	300 Watts
Transistors	7.1 billion	8 billion	15.3 billion
GPU Die Size	551 mm²	601 mm²	610 mm²
Manufacturing Process	28-nm	28-nm	16-nm

_{*I've put in bold the aspects that I think are more important for gaming.}

Also, videocardz says that this Tesla P100 is not using the full chip.