Wholesale Low-power Graphics Card the X86 ARM Architecture Is Compatible with Deep Learning Frameworks Graphics Cards

Product Description

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📊 Technical Specifications
Product Introduction: Tianshu Zhixin Zhikai V50 16GB (Model: MR-V50-16-00) is a domestically produced general-purpose GPU accelerator card focused on AI inference, scientific computing, and video encoding/decoding. It is built on a self-developed general architecture, with core specifications designed around 'high computing power, large memory, low power consumption, and wide compatibility.'
Name: ThinkForce ZhiKai V50
Benchmark product: Comparable to T4
INT8: 192~256 TOPS
FP16: 64 TFLOPS
FP32 16 TFLOPS
VRAM type: HBM2E (High Bandwidth Memory, with approximately 30% higher bandwidth compared to HBM2, suitable for the high bandwidth demands of large model inference)
Chip fabrication process: TSMC 7nm FinFET process, paired with 2.5D CoWoS advanced packaging (ensuring core heat dissipation and signal stability)
DirectX support: Compatible with DirectX 12 (including 12_1 features), suitable for mainstream graphics rendering and video processing scenarios
Video memory frequency: Effective frequency 3600MHz (native high-frequency characteristics of HBM2E, achieving low-latency data transfer with 800GB/s bandwidth)
Memory Bus Width: 2048-bit (HBM2E standard bus width design, providing sufficient data channels for 32GB VRAM to avoid bandwidth bottlenecks)
Video memory speed: 0.55 ns (based on the physical characteristics of HBM2E memory chips, corresponding to an equivalent frequency of 4000 MHz, with latency better than GDDR6)
Output Interface type: PCIe Gen4.0 x16 (bidirectional bandwidth 64GB/s), supporting x86/ARM host interconnection. No traditional video output interfaces (DP/HDMI/VGA).
Form Factor: FHFL dual - slot
Weight: 1064g
🚀 Key Performance Features
Zhikai V50

Cyber Resilient Architecture

Security is integrated into every phase of the lifecycle, including protected supply chain and factory-to-site integrity assurance. Silicon-based root of trust anchors end-to-end boot resilience.

Efficiency

Operational Efficiency

Increase efficiency and accelerate operations with autonomous collaboration. Simplify, automate and centralize management for secure and comprehensive data center solutions.

Sustainability

Sustainability

Designed with recycled materials and energy-efficient options to reduce carbon footprint and lower operation costs while maintaining high-performance output.

Enterprise-Grade Reliability

Designed for 24x7 enterprise data center operations, it features enterprise-grade components and energy-efficient hardware optimized for deployment at scale. Supports Secure Boot with Hardware Root of Trust technology, providing an extra layer of security and meeting NEBS Level 3 standards. The passively cooled, dual-socket design fits a wide range of certified systems from OEM vendors and is easy to integrate into existing data center infrastructure.

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Frequently Asked Questions
Q1: What is the main application of the Zhikai V50 accelerator card?
A1: It is primarily designed for AI inference, scientific computing, and high-performance video encoding/decoding in enterprise data center environments.
Q2: How does the performance of Zhikai V50 compare to industry standards?
A2: The Zhikai V50 is comparable to the T4 benchmark, offering INT8 performance of 192~256 TOPS and FP32 performance of 16 TFLOPS.
Q3: What type of memory does this GPU use?
A3: It utilizes HBM2E (High Bandwidth Memory), which provides approximately 30% higher bandwidth compared to standard HBM2, reaching 800GB/s.
Q4: Is the product compatible with standard server hardware?
A4: Yes, it uses a PCIe Gen4.0 x16 interface and supports both x86 and ARM host interconnections in a FHFL dual-slot form factor.
Q5: What security features are included?
A5: It supports Secure Boot with Hardware Root of Trust technology and is designed to meet NEBS Level 3 standards for enhanced data center security.
Q6: Does the card support traditional video output?
A6: No, the card is focused on computing and inference; it does not have traditional video output interfaces like DP, HDMI, or VGA.

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