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Brand New In-stock Domestic GPU Comparable to A10, AItraining and Inferenceacceleration KunlunChip R200-8F 32GB GPU GraphicsCard

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Product Description

Product Specifications

Product Introduction	The KunlunChip R200-8F 32GB is the third-generation cloud high-performance AI accelerator card. Built on the self-developed XPU-P architecture, it focuses on large-scale AI model training and inference scenarios, widely applied in finance, internet, and telecommunications.
Product Name	KunlunChip R200-8F 32GB
Benchmark Product	Comparable to A10 / T4
Performance (FP16 / INT8)	128 TFLOPS / 256 TOPS
Performance (FP32)	32 TFLOPS
VRAM Type	GDDR6 (High Bandwidth Memory, approx. 30% higher bandwidth than standard GDDR6)
Fabrication Process	TSMC 7nm process with 2.5D CoWoS advanced packaging
Memory Bus Width	1024-bit (Based on 1.2TB/s bandwidth)
Interface Type	PCIe Gen4.0 x16 (Bidirectional bandwidth 64GB/s)
Form Factor	FHFL dual-slot (Passive Cooling)
Weight	1064g

Key Features & Technologies

Cyber Resilience

Silicon-based root of trust anchors end-to-end boot resilience. Multi-Factor Authentication (MFA) and role-based access controls ensure trusted operations.

Autonomous Efficiency

Simplify, automate, and centralize management. Designed for 24x7 enterprise data center operations with energy-efficient hardware.

Sustainability

Innovative options for energy efficiency designed to help reduce the carbon footprint and lower operation costs.

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Enterprise-Grade Deployment

Designed for large-scale infrastructure, supporting Secure Boot with Hardware Root of Trust technology. Meets NEBS Level 3 standards for new data center requirements. The passive cooling design fits a wide range of certified systems.

Frequently Asked Questions

Q1: What are the primary applications for KunlunChip R200-8F?

A1: It is specifically designed for large-scale AI model training and inference. Its high memory bandwidth and computing power make it ideal for financial modeling, internet search algorithms, and telecommunications data processing.

Q2: How does its performance compare to other industry-standard GPUs?

A2: The KunlunChip R200-8F is benchmarked to be comparable with the A10 and T4, offering 128 TFLOPS of FP16 performance and 256 TOPS of INT8 computing power, which is highly efficient for data center inference.

Q3: What kind of cooling does the card require?

A3: The R200-8F features a passive cooling design. It is built for server chassis with high airflow, common in professional data center environments.

Q4: Does the R200-8F support traditional video output like HDMI or DP?

A4: No, this is a pure compute accelerator. It does not have traditional video output interfaces (DP/HDMI) as it is focused on data center computing and PCIe-based interconnection.

Q5: What system architectures is this accelerator compatible with?

A5: It utilizes the PCIe Gen4.0 x16 interface and supports interconnection with both x86 and ARM-based host systems, providing great flexibility for modern heterogeneous computing environments.

Q6: What are the key memory advantages of this model?

A6: It features GDDR6/HBM2 optimized memory with a 1024-bit bus width, delivering approximately 1.2TB/s bandwidth. This provides roughly 30% higher bandwidth than standard configurations, essential for large model inference latency.

Product Detail

Brand New In-stock Domestic GPU Comparable to A10, AItraining and Inferenceacceleration KunlunChip R200-8F 32GB GPU GraphicsCard

Product Description

Product Specifications