Huawei Atlas 300V Pro
Overview
The Huawei Atlas 300V Pro is a video analysis card built on a single Ascend 310P, and despite that positioning Huawei publishes full AI throughput for it: 140 TOPS INT8 and 70 TFLOPS FP16, identical to the Atlas 300I Pro that uses the same chip at the same 72 watts. For scale, that INT8 figure exceeds an NVIDIA T4. The differences from the 300I Pro are 48 GB of LPDDR4X rather than 24 GB, ECC support, and a much larger media block: 128 channels of 1080p30 H.264 or H.265 decode, or 16 channels of 4K60, plus 24 channels of 1080p30 encode and JPEG decode at 384 frames per second at 4K. It is a half-height half-length PCIe 4.0 x16 card.
Performance Metrics
Peak theoretical throughput by precision type
| Precision | Bits | Peak TFLOPS | Efficiency |
|---|---|---|---|
| INT8 | 8 | 140.0 | 1.944 TFLOPS/W |
| FP16 | 16 | 70.0 | 0.972 TFLOPS/W |
Power Specifications
TDP
72 W
Max Power
72 W
Power Connector
PCIe Slot
Cooling
Air
Memory Specifications
Capacity
48 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 | 48 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 Pro is optimized for high-performance computing tasks with Da Vinci architecture delivering high TFLOPS of compute power.
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