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:

The Huawei Ascend 910 has 32 DaVinci AI cores.
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.
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.
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.

@@ 第5行： / 第5行： @@
 Main features:
-# 1. The Huawei Ascend 910 has 32 DaVinci AI cores.
+# The Huawei Ascend 910 has 32 DaVinci AI cores.
-# 2. The chip combines these DaVinci AI cores with high-speed HBM2 memory.
+# 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.
+# 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.
+# 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.
+# 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.
+# 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.
+# The Tesla V100 has 112-125 TFLOPs for deep learning thanks to its tensor cores.