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Text of the page (random words):
ons colloquially half precision can be executed at twice the rate of 32 bit floating point operations single precision 13 and 64 bit floating point operations colloquially double precision executed at half the rate of 32 bit floating point operations 14 more registers twice the amount of registers per cuda core compared to maxwell more shared memory dynamic load balancing scheduling system 15 this allows the scheduler to dynamically adjust the amount of the gpu assigned to multiple tasks ensuring that the gpu remains saturated with work except when there is no more work that can safely be distributed to distribute 15 nvidia therefore has safely enabled asynchronous compute in pascal s driver 15 instruction level and thread level preemption 16 architectural improvements of the gp104 architecture include the following 7 cuda compute capability 6 1 gddr5x new memory standard supporting 10gbit s data rates updated memory controller 17 simultaneous multi projection generating multiple projections of a single geometry stream as it enters the smp engine from upstream shader stages 18 displayport 1 4 hdmi 2 0b fourth generation delta color compression enhanced sli interface sli interface with higher bandwidth compared to the previous versions purevideo feature set h hardware video decoding hevc main10 10 bit main12 12 bit and vp9 hardware decoding hdcp 2 2 support for 4k drm protected content playback and streaming maxwell gm200 and gm204 lack hdcp 2 2 support gm206 supports hdcp 2 2 19 nvenc hevc main10 10bit hardware encoding gpu boost 3 0 instruction level preemption 16 in graphics tasks the driver restricts preemption to the pixel level because pixel tasks typically finish quickly and the overhead costs of doing pixel level preemption are lower than instruction level preemption which is expensive 16 compute tasks get thread level or instruction level preemption 16 because they can take longer times to finish and there are no guarantees on when a compute task finishes therefore the driver enables the expensive instruction level preemption for these tasks 16 overview edit graphics processor cluster edit a chip is partitioned into graphics processor clusters gpcs for the gp104 chips a gpc encompasses 5 sms streaming multiprocessor pascal edit a streaming multiprocessor is analogous to amd s compute unit an sm encompasses 128 single precision alus cuda cores on gp104 chips and 64 single precision alus on gp100 chips while all cu versions consist of 64 shader processors i e 4 simd vector units each 16 lanes wide nvidia experimented with very different numbers of cuda cores on tesla 1 sm combines 8 single precision fp32 shader processors on fermi 1 sm combines 32 single precision fp32 shader processors on kepler 1 sm combines 192 single precision fp32 shader processors and 64 double precision fp64 units on gk110 gpus on maxwell 1 sm combines 128 single precision fp32 shader processors on pascal it depends on gp100 1 sm combines 64 single precision fp32 shader processors and also 32 double precision fp64 providing a 2 1 ratio of single to double precision throughput the gp100 uses more flexible fp32 cores that are able to process one single precision or two half precision numbers in a two element vector 20 this is intended to better serve machine learning tasks on gp104 1 sm combines 128 single precision alus 4 double precision alus providing a 32 1 ratio and one half precision alu which contains a vector of two half precision floats which can execute the same instruction on both floats providing a 64 1 ratio if the same instruction is used on both elements polymorph engine 4 0 edit the polymorph engine version 4 0 is the unit responsible for tessellation it corresponds functionally with amd s geometric processor it has been moved from the shader module to the tpc to allow one polymorph engine to feed multiple sms within the tpc 21 chips edit gtx 1080 ti pcb and die gp100 nvidia s tesla p100 gpu accelerator is targeted at gpgpu applications such as fp64 double precision compute and deep learning training that uses fp16 it uses hbm2 memory 22 quadro gp100 also uses the gp100 gpu gp102 this gpu is used in the titan xp 23 titan x pascal 24 and the geforce gtx 1080 ti it is also used in the quadro p6000 25 tesla p40 26 gp104 this gpu is used in the geforce gtx 1070 gtx 1070 ti gtx 1080 and some gtx 1060 6 gb s the gtx 1070 has 15 20 and the gtx 1070 ti has 19 20 of its sms enabled both utilize gddr5 memory the gtx 1080 is a fully unlocked chip and uses gddr5x memory some gtx 1060 6 gb s use gp104 with 10 20 sms enabled and gddr5x memory 27 it is also used in the quadro p5000 quadro p4000 quadro p3200 mobile applications and tesla p4 gp106 this gpu is used in the geforce gtx 1060 with gddr5 28 memory 29 30 it is also used in the quadro p2000 gp107 this gpu is used in the geforce gtx 1050 and 1050 ti it is also used in the quadro p1000 quadro p600 quadro p620 quadro p400 gp108 this gpu is used in the geforce gt 1010 and geforce gt 1030 comparison table of some kepler maxwell and pascal chips gk104 gk110 gm204 gtx 970 gm204 gtx 980 gm200 gp104 gp100 dedicated texture cache per sm 48 kib n a n a n a n a n a n a texture graphics or compute or read only data compute only cache per sm n a 48 kib 31 n a n a n a n a n a programmer selectable shared memory l1 partitions per sm 48 kib shared memory 16 kib l1 cache default 32 48 kib shared memory 16 kib l1 cache default 32 n a n a n a n a n a 32 kib shared memory 32 kib l1 cache 32 32 kib shared memory 32 kib l1 cache 32 16 kib shared memory 48 kib l1 cache 32 16 kib shared memory 48 kib l1 cache 32 unified l1 cache texture cache per sm n a n a 48 kib 33 48 kib 33 48 kib 33 48 kib 33 24 kib 33 dedicated shared memory per sm n a n a 96 kib 33 96 kib 33 96 kib 33 96 kib 33 64 kib 33 l2 cache per chip 512 kib 33 1536 kib 33 1792 kib 34 2048 kib 34 3072 kib 33 2048 kib 33 4096 kib 33 performance edit the theoretical single precision processing power of a pascal gpu in gflops is computed as 2 operations per fma instruction per cuda core per cycle number of cuda cores core clock speed in ghz the theoretical double precision processing power of a pascal gpu is 1 2 of the single precision performance on nvidia gp100 and 1 32 of nvidia gp102 gp104 gp106 gp107 gp108 the theoretical half precision processing power of a pascal gpu is 2 of the single precision performance on gp100 14 and 1 64 on gp104 gp106 gp107 gp108 20 successor edit the pascal architecture was succeeded in 2017 by volta in the hpc cloud computing and self driving car markets and in 2018 by turing in the consumer and business market 35 p100 accelerator and dgx 1 edit starting from p100 36 37 38 to v100 39 to a100 40 to h100 41 to b200 42 43 and to r100 44 the comparison of accelerators used in dgx general architecture edit model architecture socket gpu fabrication process transistor count billion die size mm 2 launched p100 pascal sxm sxm2 gp100 tsmc 16ff 15 3 610 q2 2016 v100 16gb volta sxm2 gv100 tsmc 12ffn 21 1 815 q3 2017 v100 32gb sxm3 a100 40gb ampere sxm4 ga100 tsmc n7 54 2 826 q1 2020 a100 80gb q4 2020 h100 hopper sxm5 gh100 tsmc 4n 80 814 q3 2022 h200 q3 2023 b100 blackwell sxm6 gb100 tsmc 4np 208 n a q4 2024 b200 r100 rubin sxm7 n a tsmc 3n 338 n a h2 2026 cores clock power edit model boost clock mhz sm cores fp32 cuda cores fp64 excl tensor cores mixed int32 fp32 cores int32 tdp w p100 1480 56 3584 1792 n a n a 300 v100 16gb 1530 80 5120 2560 n a 5120 300 v100 32gb 350 a100 40gb 1410 108 6912 3456 6912 n a 400 a100 80gb h100 1980 132 16896 4608 16896 n a 700 h200 1000 b100 n a n a n a n a n a n a 700 b200 n a n a n a n a n a n a 1000 r100 n a n a n a n a n a n a 2300 memory cache edit model memory type hbm vram size gb memory speed gb s bus width bits bandwidth tb s l1 cache per sm kb l1 cache total kb l2 cache kb p100 hbm2 16 1 4 4096 0 72 24 1344 4096 v100 16gb hbm2 16 1 75 4096 0 9 128 10240 6144 v100 32gb 32 a100 40gb hbm2 40 2 4 5120 1 52 192 20736 40960 a100 80gb hbm2e 80 3 2 h100 hbm3 80 5 2 5120 3 35 192 25344 51200 h200 hbm3e 141 6 3 6144 4 8 b100 hbm3e 192 8 8192 8 n a n a n a b200 r100 hbm4 n a n a n a n a n a n a n a compute performance interconnect networking edit model fp32 tflops fp64 tflops int8 dense tensor fp16 dense tensor bfloat16 dense tensor tf32 dense tensor fp64 dense tensor interconnect nvlink tb s networking p100 10 6 5 3 n a 21 2 n a n a n a 0 16 connectx 4 100 gb s v100 16gb 15 7 7 8 n a 125 tflops n a n a n a 0 3 connectx 5 100 gb s v100 32gb a100 40gb 19 5 9 7 624 tops 312 tflops 312 tflops 156 tflops 19 5 tflops 0 6 connectx 6 200 gb s a100 80gb h100 67 34 1 98 pops 990 tflops 990 tflops 495 tflops 67 tflops 0 9 connectx 7 400 gb s h200 b100 n a n a 3 5 pops 1 98 pflops 1 98 pflops 989 tflops 30 tflops 1 8 connectx 7 400 gb s b200 n a n a 4 5 pops 2 25 pflops 2 25 pflops 1 2 pflops 40 tflops r100 n a n a n a n a n a n a n a n a connectx 9 1600 gb s see also edit list of eponyms of nvidia gpu microarchitectures list of nvidia graphics processing units nvidia nvdec nvidia nvenc references edit https developer nvidia com vulkan driver bare url kampman jeffrey july 31 2025 nvidia confirms end of game ready driver support for maxwell and pascal gpus affected products will get optimized drivers through october 2025 tom s hardware retrieved august 21 2025 nvidia 7nm next gen gpus to be built by tsmc wccftech june 24 2018 retrieved july 6 2019 samsung to optical shrink nvidia pascal to 14 nm retrieved august 13 2016 accelerating the real time ray tracing ecosystem dxr for geforce rtx and geforce gtx nvidia ray tracing comes to nvidia gtx gpus here s how to enable it april 11 2019 1 2 nvidia geforce gtx 1080 pdf international download nvidia com retrieved september 15 2016 gupta sumit march 21 2014 nvidia updates gpu roadmap announces pascal blogs nvidia com retrieved march 25 2014 parallel forall nvidia developer zone devblogs nvidia com archived from the original on march 26 2014 retrieved march 25 2014 nvidia tesla p100 pdf international download nvidia com retrieved september 15 2016 inside pascal nvidia s newest computing platform april 5 2016 denis foley march 25 2014 nvlink pascal and stacked memory feeding the appetite for big data nvidia com retrieved july 7 2014 nvidia s next gen pascal gpu architecture to provide 10x speedup for deep learning apps the official nvidia blog retrieved march 23 2015 1 2 smith ryan april 5 2015 nvidia announces tesla p100 accelerator pascal gp100 power for hpc anandtech archived from the original on april 6 2016 retrieved may 27 2016 each of those sms also contains 32 fp64 cuda cores giving us the 1 2 rate for fp64 and new to the pascal architecture is the ability to pack 2 fp16 operations inside a single fp32 cuda core under the right circumstances 1 2 3 smith ryan july 20 2016 the nvidia geforce gtx 1080 gtx 1070 founders editions review kicking off the finfet generation anandtech p 9 archived from the original on july 23 2016 retrieved july 21 2016 1 2 3 4 5 smith ryan july 20 2016 the nvidia geforce gtx 1080 gtx 1070 founders editions review kicking off the finfet generation anandtech p 10 archived from the original on july 24 2016 retrieved july 21 2016 gtx 1080 graphics card geforce retrieved september 15 2016 carbotte kevin may 17 2016 nvidia geforce gtx 1080 simultaneous multi projection async compute tomshardware com retrieved september 15 2016 nvidia pascal hdcp 2 2 nvidia hardware page retrieved may 8 2016 1 2 smith ryan july 20 2016 the nvidia geforce gtx 1080 gtx 1070 founders editions review kicking off the finfet generation anandtech p 5 archived from the original on july 23 2016 retrieved july 21 2016 smith ryan july 20 2016 the nvidia geforce gtx 1080 gtx 1070 founders editions review kicking off the finfet generation anandtech p 4 archived from the original on july 23 2016 retrieved july 21 2016 harris mark april 5 2016 inside pascal nvidia s newest computing platform parallel forall nvidia retrieved june 3 2016 nvidia titan xp graphics card with pascal architecture nvidia nvidia titan x graphics card with pascal geforce retrieved september 15 2016 new quadro graphics built on pascal architecture nvidia retrieved september 15 2016 accelerating data center workloads with gpus nvidia retrieved september 15 2016 zhiye liu october 22 2018 nvidia geforce gtx 1060 gets gddr5x in fifth makeover tom s hardware retrieved february 2 2024 nvidia geforce 10 series graphics cards nvidia nvidia geforce gtx 1060 to be released on july 7th videocardz com june 29 2016 retrieved september 15 2016 gtx 1060 graphics cards geforce retrieved september 15 2016 smith ryan november 12 2012 nvidia launches tesla k20 k20x gk110 arrives at last anandtech p 3 archived from the original on november 14 2012 retrieved july 24 2016 1 2 3 4 5 6 nvidia september 1 2015 cuda c programming guide retrieved july 24 2016 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 triolet damien may 24 2016 nvidia geforce gtx 1080 le premier gpu 16nm en test hardware fr in french p 2 retrieved july 24 2016 1 2 smith ryan january 26 2015 geforce gtx 970 correcting the specs exploring memory allocation anandtech p 1 archived from the original on january 28 2015 retrieved july 24 2016 nvidia turing release date techradar february 2 2021 nvidia tesla p100 nvidia nvidia tesla p100 sxm2 techpowerup nvidia tesla p100 pcie 16 gb techpowerup garreffa anthony september 17 2017 nvidia tesla v100 tested near unbelievable gpu power tweaktown com retrieved december 30 2025 smith ryan may 14 2020 nvidia ampere unleashed nvidia announces new gpu architecture a100 gpu and accelerator anandtech archived from the original on july 29 2024 smith ryan march 22 2022 nvidia hopper gpu architecture and h100 accelerator announced working smarter and harder anandtech archived from the original on september 23 2023 b100 vs b200 which nvidia blackwell gpu is right for your ai workloads blog northflank northflank deploy any project in seconds in our cloud or yours retrieved june 15 2026 comparing blackwell vs hopper b200 b100 vs h200 h100 exxact blog www exxactcorp com retrieved june 15 2026 mitrasish co founder cto spheron nvidia rubin r100 gpu chip specs architecture vram and cloud availability 2026 spheron blog spheron retrieved june 13 2026 v t e nvidia geforce list of gpus fixed pixel pipeline pre geforce nv1 nv2 riva 128 riva tnt tnt2 geforce 256 2 4 mx vertex and pixel shaders geforce 3 4 ti fx 6 7 unified shaders geforce 8 9 100 200 300 400 500 unified shaders numa geforce 600 700 800m 900 10 16 ray tracing tensor cores geforce 20 30 40 50 software and technologies multimedia acceleration nvenc video encoding nvdec video decoding purevideo video decoding software cg shading language cuda nvidia gameworks optix ray tracing api physx physics sdk nvidia omniverse 3d graphics nvidia rtx ray tracing platform nvidia system tools vdpau video decode api technologies nvidia 3d vision stereo 3d nvidia g sync variable refresh rate nvidia...