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Kunlunxin R480-X8

rack
8× R200-8F
Chip-to-chip interconnect at 200 GB/s
FP32
256
TFLOPS
FP16
1,024
TFLOPS
Power
—
kW Total
Memory
256
GB Total

The Kunlunxin R480-X8 is an eight-card accelerator group built from the 32 GB R200-8F, the second-generation XPU-R part. Kunlunxin rates it at 2,048 TOPS of INT8, 1,024 TOPS of INT16, 1,024 TFLOPS of FP16 and 256 TFLOPS of FP32, with 256 GB of GDDR6 across the eight cards, 4,096 GB/s of aggregate memory bandwidth and 200 GB/s of chip-to-chip interconnect, on a 7nm process with ECC throughout. Kunlunxin lists it for both inference and training. Every figure is published per-card times eight on Kunlunxin's own page, and each per-card term matches the R200-8F exactly, which is what identifies the eight cards as the 32 GB variant rather than the 16 GB R200. Kunlunxin labels none of these figures dense or sparse and publishes no sparse rate. It also publishes no power figure for the group; summing eight 160 W cards would count only the accelerators and exclude CPUs, fans and supply losses, so total system power is left blank rather than understated.

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FP32
256
TFLOPS
FP16
1,024
TFLOPS
INT8
2,048
TOPS
INT16
1,024
TOPS

System Details

GPU Configuration

GPU Count: 8 GPUs
Architecture: XPU-R
Interconnect: Chip-to-chip interconnect at 200 GB/s

System Specifications

Form Factor: rack
Total Power: —
Total Memory: 256 GB
Memory Bandwidth: 4.1 TB/s

Precision Performance Breakdown

PrecisionSystem PerformancePer GPUEfficiency
256 TFLOPS 32 TFLOPS —
1,024 TFLOPS 128 TFLOPS —
2,048 TOPS 256 TOPS —
INT16 1,024 TOPS 128 TOPS —

Where a vendor states a basis, the figure shown is the dense one, and any figure it publishes is listed separately. Vendors commonly headline the sparse number instead: for NVIDIA's 2:4 structured sparsity that is exactly twice the dense figure, though other vendors' sparse modes do not all follow that ratio.

Powered by Kunlunxin R200-8F

This system utilizes 8 × Kunlunxin R200-8F GPUs, each delivering exceptional performance for AI and HPC workloads.

Per GPU TDP

160W

Per GPU Memory

32 GB

Process Node

7nm

Architecture

XPU-R

Documentation & Resources

Flopper Spec Sheet

Kunlunxin R480-X8 specifications, generated from our database. Printable.

Vendor product page

Kunlunxin R480-X8 documentation

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昆仑芯AI加速卡R200系列 (Kunlunxin R200 series product page)

Kunlunxin • Latest version

View Document ↗

Typical Use Cases

AI/ML Training
High-Performance Computing
Data Analytics

The Kunlunxin R480-X8 runs 8× R200-8F GPUs over Chip-to-chip interconnect at 200 GB/s, delivering 1,024 TFLOPS FP16 dense.

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