Huawei Ascend 310
Overview
The Huawei Ascend 310, codenamed Ascend-Mini, was the first Ascend processor to ship and the chip behind the entire Atlas 200 and Atlas 500 edge line. Announced by Eric Xu at Huawei Connect 2018, it pairs two Da Vinci AI cores with eight Arm Cortex-A55 host cores on a 12nm die of 104.4 square millimetres, and delivers 8 TFLOPS of FP16 or 16 TOPS of INT8 inside an 8 watt envelope, which is the efficiency point the whole design was built around. Alongside the AI cores it carries a substantial fixed-function media block, 16 channels of H.264 and H.265 decode plus one channel of encode, and an 8 MB on-chip buffer feeding the matrix units. Memory is 128-bit LPDDR4X, but capacity and bandwidth are deliberately left blank here because they are a board-level choice rather than a chip specification: Huawei's own Atlas 200 module ships the same silicon with either 4 GB or 8 GB. The Da Vinci Cube in this generation implements 4,096 FP16 MACs and 8,192 INT8 MACs and has no FP32 or BF16 matrix path at all, which is why this part carries only FP16 and INT8 figures.
Performance
Peak theoretical throughput by precision type
| Precision | Peak |
|---|---|
FP64 | No verified data available |
FP32 | No verified data available |
TF32 | No verified data available |
BF16 | No verified data available |
FP16 16-bit floating point | 8TFLOPS |
FP8 | No verified data available |
FP6 | No verified data available |
FP4 | No verified data available |
INT8 8-bit integer | 16TOPS |
Dense peak divided by accelerator TDP. Board power only: excludes host CPUs, networking, cooling and facility overhead. TDP for this part: 8 W.
The Ascend 310 in the GPU landscape
Peak FP16 TFLOPS (dense) against TDP, single-GPU parts tracked by Flopper
Higher and further left is better: more half-precision throughput for less power.
Specifications
Architecture
Da Vinci
Form Factor
SoC
Launch Year
2018
Process Node
12nm
Memory
No verified data available LPDDR4X
Bandwidth
No verified data available
TDP
8 W
Max power
8 W
Da Vinci AI Core
2
Spec Confidence
Official
Full Specifications
| Compute Engine | |
|---|---|
| Da Vinci AI Core | 2 |
| Chip Design | |
| Die Size | 104 mm² |
| Process Node | 12nm |
| Memory | |
| Memory | No verified data available |
| Memory Type | LPDDR4X |
| Bandwidth | No verified data available |
| Interface Width | 128-bit |
| Interconnect & I/O | |
| PCIe | 3.0 x4 |
| Cache | |
| L2 Cache | 3 MB |
| Power & Thermal | |
| TDP | 8 W |
| Max power | 8 W |
| Enterprise Features | |
| Compute APIs | CANN, MindSpore, MindX, ACL |
| General | |
| Form Factor | SoC |
| Architecture | Da Vinci |
| Process Node | 12nm |
| Launch Year | 2018 |
Datasheet & Resources
Flopper Datasheet
Huawei Ascend 310 specifications, generated from our database. Printable.
Vendor product page
Huawei documentation for the Ascend 310
Huawei HiSilicon Da Vinci architecture, Hot Chips 31 (2019)
Huawei · 2019-08-19
Huawei Ascend Developer Documentation
CANN guides, MindSpore, Da Vinci
Data Provenance
Every figure traced to a source
Primary Source
- Publisher
- Huawei
- Published
- 2019-08-19
Data Quality
- Spec confidence
- Official
- Clock basis
- Boost
- Core precisions with figures
- 2 of 9
- Normalization
- All values in TFLOPS
Compare cloud providers offering on-demand GPU instances for AI training, inference, and HPC workloads.
Browse GPU Cloud ProvidersSimilar GPUs
Frequently Asked Questions
How many TFLOPS does the Huawei Ascend 310 have?
The Huawei Ascend 310 delivers 8 TFLOPS FP16 at peak. Flopper does not currently have verified FP32 and FP8 throughput figures for it.
What is the power consumption of the Huawei Ascend 310?
The Huawei Ascend 310 has a TDP (Thermal Design Power) rating of 8 watts.
How much memory does the Huawei Ascend 310 have?
Flopper does not currently have verified memory capacity or bandwidth figures for the Huawei Ascend 310.
What architecture is the Huawei Ascend 310 based on?
The Huawei Ascend 310 is based on the Da Vinci architecture, launched in 2018.
Stay Updated on GPU Releases
Get notified when new GPUs are added or specifications are updated.
No spam, unsubscribe anytime.