Superior Bandwidth Kunlunxin R200-8F Graphics Card for Fast Data Processing in AI HPC Environments

Product Description

Kunlun Chip R200-8F
Kunlun Chip R200-8F Layout
Product Introduction The Kunlun Chip R200-8F 16GB is the third-generation cloud high-performance AI accelerator card launched by Kunlun Chip Technology under Baidu. It is built on the self-developed XPU-P architecture, focusing on large-scale AI model training and inference scenarios. It has outstanding advantages in memory specifications, computing performance, and ecosystem compatibility.
Model Name Kunlun Chip P200-8F 16GB
Computing Performance (INT8) 256 TOPS
VRAM Type HBM2E (High Bandwidth Memory, with approximately 30% higher bandwidth compared to HBM2)
Fabrication Process TSMC 7nm process, paired with 2.5D CoWoS advanced packaging
Video Memory Bandwidth 1.2TB/s effective frequency 9.375Gbps
Memory Bus Width 1024bit
Output Interface None (Focused on data center inference/computing); PCIe Gen4.0 x16 core interface
Form Factor FHFL dual-slot
Weight 1064g
Security
Cyber Resilient Architecture

Security is integrated into every phase of the lifecycle. Silicon-based root of trust anchors end-to-end boot resilience while Multi-Factor Authentication (MFA) and role-based access controls ensure trusted operations.

Efficiency
Autonomous Collaboration

Increase efficiency and accelerate operations with comprehensive management solutions. Simplify, automate and centralize one-to-many management with advanced enterprise consoles.

Sustainability
Sustainability

Designed for energy efficiency to help reduce the carbon footprint and lower operation costs. The portfolio uses recycled materials and innovative energy-saving options.

Enterprise Data Center
Enterprise-Grade Performance

Designed for 24x7 enterprise data center operations, the Kunlun Chip R200-8F features enterprise-grade components optimized for deployment at scale. It supports Secure Boot with Hardware Root of Trust technology and meets NEBS Level 3 standards. The passively cooled, energy-efficient design fits a wide range of certified systems from major OEM vendors.

Frequently Asked Questions
Q1: What are the primary applications for the Kunlun Chip R200-8F? A1: It is primarily designed for large-scale AI model training and inference scenarios, widely applied in finance, internet, and telecommunications industries.
Q2: What is the benefit of HBM2E memory used in this card? A2: HBM2E (High Bandwidth Memory) provides approximately 30% higher bandwidth compared to standard HBM2, reaching up to 1.2TB/s, which is crucial for the high demands of large model inference.
Q3: Does this chip support standard server integration? A3: Yes, it uses the PCIe Gen4.0 x16 interface and a FHFL dual-slot form factor, making it compatible with x86 and ARM host interconnections in data centers.
Q4: What is the computing power of the R200-8F? A4: The card delivers high-performance AI acceleration with INT8 computing power of up to 256 TOPS.
Q5: Is there any video output for monitors? A5: No, this is a pure accelerator card focused on data center computing. It does not have traditional video output interfaces like DP, HDMI, or VGA.
Q6: What cooling method does it use? A6: It features a passively cooled design, optimized for energy efficiency and standard data center airflow environments.

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