Huawei Atlas 300V
Overview
The Huawei Atlas 300V is a video analysis card built on a down-binned Ascend 310P, rated at 100 TOPS INT8 and 50 TFLOPS FP16. Those figures are five sevenths of the 140 TOPS and 70 TFLOPS that the Atlas 300I Pro and Atlas 300V Pro achieve from the same chip at the same 72 watts, the same 204.8 GB/s of LPDDR4X bandwidth and the same board size, so this is a genuine clock or core bin rather than a rounding or transcription difference. The card pairs 24 GB of LPDDR4X with an eight-core 1.9 GHz host CPU and supports ECC, and its media block handles 80 channels of 1080p30 decode, or 10 channels of 4K60, plus 24 channels of 1080p30 encode.
Performance Metrics
Peak theoretical throughput by precision type
| Precision | Bits | Peak TFLOPS | Efficiency |
|---|---|---|---|
| INT8 | 8 | 100.0 | 1.389 TFLOPS/W |
| FP16 | 16 | 50.0 | 0.694 TFLOPS/W |
Power Specifications
TDP
72 W
Max Power
72 W
Power Connector
PCIe Slot
Cooling
Air
Memory Specifications
Capacity
24 GB
Type
LPDDR4X
Bandwidth
204.8 GB/s
Interface
--
Hardware & Design
Form Factor
PCIe
Architecture
Da Vinci
Process Node
--
Launch Year
2022
Variant
Standard
Market Segment
Professional
Chiplets
1
Full Specifications
| Chip Design | |
|---|---|
| Chiplets | 1 |
| Memory | |
| VRAM | 24 GB |
| Memory Type | LPDDR4X |
| Bandwidth | 205 GB/s |
| Interconnect & I/O | |
| PCIe | 4.0 x16 |
| Power & Thermal | |
| TDP | 72 W |
| Max Board Power | 72 W |
| Enterprise Features | |
| ECC Memory | Yes |
| Compute APIs | CANN, MindSpore, MindX, PyTorch (torch_npu), ACL |
| Physical & Media | |
| Card Length | 169.5 mm |
| General | |
| Form Factor | PCIe |
| Architecture | Da Vinci |
| Launch Year | 2022 |
Documentation & Resources
Common Use Cases
The Huawei Atlas 300V is optimized for high-performance computing tasks with Da Vinci architecture delivering high TFLOPS of compute power.
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