Ascend910系列：修订间差异

2023年11月3日 (五) 14:12的版本

Architecture of Ascend 910 Chips

Main features:

1. The Huawei Ascend 910 has 32 DaVinci AI cores.
2. The chip combines these DaVinci AI cores with high-speed HBM2 memory.
3. The main chip also has additional logic blocks such as 128 channel video decoding engines.
4. There is a Nimbus V3 chip that handles most of the I/O and is co-packaged alongside the main chip and the HBM2 stacks.
5. The Huawei Ascend 910 is designed to run at a higher power envelope (350W) and higher performance compared to the Ascend 310.
6. Huawei claims 256 TFLOPs of FP16 performance for the Ascend 910.
7. The Tesla V100 has 112-125 TFLOPs for deep learning thanks to its tensor cores.

@@ 第5行： / 第5行： @@
 Main features:
-. The Huawei Ascend 910 has 32 DaVinci AI cores.
+# 1. The Huawei Ascend 910 has 32 DaVinci AI cores.
-. The chip combines these DaVinci AI cores with high-speed HBM2 memory.
+# 2. The chip combines these DaVinci AI cores with high-speed HBM2 memory.
-. The main chip also has additional logic blocks such as 128 channel video decoding engines.
+# 3. The main chip also has additional logic blocks such as 128 channel video decoding engines.
-. There is a Nimbus V3 chip that handles most of the I/O and is co-packaged alongside the main chip and the HBM2 stacks.
+# 4. There is a Nimbus V3 chip that handles most of the I/O and is co-packaged alongside the main chip and the HBM2 stacks.
-. The Huawei Ascend 910 is designed to run at a higher power envelope (350W) and higher performance compared to the Ascend 310.
+# 5. The Huawei Ascend 910 is designed to run at a higher power envelope (350W) and higher performance compared to the Ascend 310.
-. Huawei claims 256 TFLOPs of FP16 performance for the Ascend 910.
+# 6. Huawei claims 256 TFLOPs of FP16 performance for the Ascend 910.
-. The Tesla V100 has 112-125 TFLOPs for deep learning thanks to its tensor cores.
+# 7. The Tesla V100 has 112-125 TFLOPs for deep learning thanks to its tensor cores.