Semiconductor & Computer Engineering
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Sophon BM1680 - Bitmain
Template:mpu Sophon BM1680 is a neural processor designed by Bitmain capable of performing both network inference and network training.
Facts about "Sophon BM1680 - Bitmain"
| Has subobject "Has subobject" is a predefined property representing a container construct and is provided by Semantic MediaWiki. | Sophon BM1680 - Bitmain#package + |
| core voltage | 0.9 V (9 dV, 90 cV, 900 mV) + |
| core voltage tolerance | 5% + |
| designer | Bitmain + |
| family | Sophon + |
| first announced | October 25, 2017 + |
| first launched | November 8, 2017 + |
| full page name | bitmain/sophon/bm1680 + |
| has ecc memory support | true + |
| instance of | microprocessor + |
| io voltage | 1.8 V (18 dV, 180 cV, 1,800 mV) + |
| io voltage tolerance | 5% + |
| ldate | November 8, 2017 + |
| main image |  + |
| manufacturer | TSMC + |
| market segment | Artificial Intelligence + |
| max memory | 16,384 MiB (16,777,216 KiB, 17,179,869,184 B, 16 GiB, 0.0156 TiB) + |
| max memory bandwidth | 79.47 GiB/s (81,377.28 MiB/s, 85.33 GB/s, 85,330.263 MB/s, 0.0776 TiB/s, 0.0853 TB/s) + |
| max memory channels | 4 + |
| max operating temperature | 125 °C + |
| min operating temperature | 0 °C + |
| model number | BM1680 + |
| name | Sophon BM1680 + |
| package | FCBGA-1599 + |
| peak flops (single-precision) | 2,000,000,000,000 FLOPS (2,000,000,000 KFLOPS, 2,000,000 MFLOPS, 2,000 GFLOPS, 2 TFLOPS, 0.002 PFLOPS, 2.0e-6 EFLOPS, 2.0e-9 ZFLOPS) + |
| process | 28 nm (0.028 μm, 2.8e-5 mm) + |
| supported memory type | DDR4-2666 + |
| tdp | 41 W (41,000 mW, 0.055 hp, 0.041 kW) + |
| tdp (typical) | 25 W (25,000 mW, 0.0335 hp, 0.025 kW) + |
| technology | CMOS + |
