Semiconductor & Computer Engineering
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Difference between revisions of "bitmain/sophon"
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== Models == | == Models == | ||
| − | {{ | + | <!-- NOTE: |
| + | This table is generated automatically from the data in the actual articles. | ||
| + | If a microprocessor is missing from the list, an appropriate article for it needs to be | ||
| + | created and tagged accordingly. | ||
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| + | Missing a chip? please dump its name here: https://en.wikichip.org/wiki/WikiChip:wanted_chips | ||
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| + | {{comp table start}} | ||
| + | <table class="comptable sortable tc4"> | ||
| + | {{comp table header|main|5:List of Sophon Neural Processors}} | ||
| + | {{comp table header|cols|Launched|Process|TDP|Peak Perf (SP)}} | ||
| + | {{#ask: [[Category:microprocessor models by bitmain]] [[family::Sophon]] | ||
| + | |?full page name | ||
| + | |?model number | ||
| + | |?first launched | ||
| + | |?process | ||
| + | |?tdp | ||
| + | |?peak flops (single-precision)#TFLOPS | ||
| + | |format=template | ||
| + | |template=proc table 3 | ||
| + | |userparam=6 | ||
| + | |mainlabel=- | ||
| + | }} | ||
| + | {{comp table count|ask=[[Category:microprocessor models by bitmain]] [[family::Sophon]]}} | ||
| + | </table> | ||
| + | {{comp table end}} | ||
== See also == | == See also == | ||
* Intel Movidius {{movidius|Myriad}} | * Intel Movidius {{movidius|Myriad}} | ||
* Cambricon {{cambricon|MLU}} | * Cambricon {{cambricon|MLU}} | ||
Revision as of 11:00, 11 August 2018
| Sophon | |
| |
| Sophon Logo | |
| Developer | Bitmain |
| Manufacturer | TSMC |
| Type | Neural Processors |
| Introduction | October 25, 2017 (announced) October 25, 2017 (launch) |
| Process | 28 nm 0.028 μm , 12 nm2.8e-5 mm 0.012 μm
1.2e-5 mm |
| Technology | CMOS |
Sophon is a family of low-power neural processors designed by Bitmain.
Overview
Announced in late 2017 at the AIWORLD 2017 Artificial Intelligence Conference in Beijing, Sophon is a family of low-power neural processors. Bitmain started exploring the field of artificial intelligence and neural processors as early as 2015. By April 2017, their first product, the BM1680, has taped-out. Their chips are designed for both inference and training of neural networks, suitable for working with the common ANNs such as CNN, RNN, and DNN.
Models
| List of Sophon Neural Processors | |||||
|---|---|---|---|---|---|
| Model | Launched | Process | TDP | Peak Perf (SP) | |
| BM1680 | 8 November 2017 | 28 nm 0.028 μm 2.8e-5 mm | 41 W 41,000 mW 0.055 hp 0.041 kW | 2 TFLOPS 2,000,000,000,000 FLOPS 2,000,000,000 KFLOPS 2,000,000 MFLOPS 2,000 GFLOPS 0.002 PFLOPS | |
| BM1682 | March 2018 | 28 nm 0.028 μm 2.8e-5 mm | 3 TFLOPS 3,000,000,000,000 FLOPS 3,000,000,000 KFLOPS 3,000,000 MFLOPS 3,000 GFLOPS 0.003 PFLOPS | ||
| BM1684 | September 2018 | 12 nm 0.012 μm 1.2e-5 mm | 6 TFLOPS 6,000,000,000,000 FLOPS 6,000,000,000 KFLOPS 6,000,000 MFLOPS 6,000 GFLOPS 0.006 PFLOPS | ||
| BM1686 | June 2019 | 12 nm 0.012 μm 1.2e-5 mm | 9 TFLOPS 9,000,000,000,000 FLOPS 9,000,000,000 KFLOPS 9,000,000 MFLOPS 9,000 GFLOPS 0.009 PFLOPS | ||
| BM1880 | 17 October 2018 | ||||
| Count: 5 | |||||
See also
Facts about "Sophon - Bitmain"
| designer | Bitmain + |
| first announced | October 25, 2017 + |
| first launched | October 25, 2017 + |
| full page name | bitmain/sophon + |
| instance of | integrated circuit family + |
| main designer | Bitmain + |
| manufacturer | TSMC + |
| name | Sophon + |
| process | 28 nm (0.028 μm, 2.8e-5 mm) + and 12 nm (0.012 μm, 1.2e-5 mm) + |
| technology | CMOS + |
