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Amjad Traders
Graphics Card MI50 32G Computing GPU Acceleration Card
Graphics Card MI50 32G Computing GPU Acceleration Card
Regular price
Rs.572,134.99
Regular price
Rs.953,558.32
Sale price
Rs.572,134.99
Shipping calculated at checkout.
Quantity
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SPECIFICATIONS
AC Voltage: 115/120 V
Brand Name: NONE
Carry width: 4096bit
Certification: ce
Chip factory: AMD
Do you support one-piece delivery?: support
Efficiency: IE 1
High-concerned chemical: None
Memory capacity: 32gb
Memory frequency: 1000MHz
Number of assembly lines: 3840
Origin: Mainland China
chip process: 7nm
core frequency: 1200MHz
memory width: 4096bit
stream processor unit: 3840
type: Professional grade
video memory type: HBM2
First, the core parameters
- Architecture and process
- Adopt 7nm process technology, based on GCN 5.1 architecture.
- The core code is Vega20, the number of transistors is 13.20 billion, and the core area is 331mm ².
- Frequency and computing power
- Base frequency 1200MHz, acceleration frequency 1746MHz.
- FP32 single-precision floating-point performance is about 13.4 TFLOPS, FP64 double-precision is about 6.7 TFLOPS.
- Stream Processor and Cache
- The number of stream processors is 3840, the L1 cache is 16KB, and the L2 cache is 4MB.
Second, video memory configuration
- Memory capacity and type
- official parameters: The standard version MI50 is 16GB HBM2 video memory, with a memory width of 4096bit and a bandwidth of 1TB/s.
- Market customized version: 32GB video memory.
- Memory frequency
- The video memory base frequency is 1000MHz (equivalent to 2Gbps), and the actual bandwidth depends on the HBM2 stack configuration.
III, Interface and Extension
- physical interface
- Output interface: 1 mini-DisplayPort 1.4a.
- Power supply interface: dual 8-pin power supply, the whole card TDP power consumption is 300W.
- extended support
- Supports PCIe 4.0 bus, providing higher data transmission efficiency.
- Support AMD Infinity Fabric Link technology to improve the efficiency of multi-card interconnection.
IV. Application scenarios and performance
- Computing and AI performance
- Suitable for deep learning training, local large model inference (such as Qwen, DeepSeek, etc.), about 12-13 tokens/s in the measured Win + Vulkan environment, and up to 15 tokens/s in the Linux + ROCm environment.
- Compared with the RTX 3060, the performance of some scenarios is improved by more than 30%.
- Game and rendering
- Brush into the custom BIOS, Master Lu runs 38- 440,000, can smoothly run "Black Myth: Wukong" and other games (high image quality 60 frames +).
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