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Biren Technology BR100/BR20X

Vendor: Biren Technology

Category: GPU Graphics Processor

Architecture: Biren

Introduction​

Biren Technology high-compute Chiplet GPU. BR100 (INT8 2048 TOPS, PCIe 5.0) is the main product, with BR20X next-gen chip planned for 2026, maintaining training advantages while optimizing inference scenarios. 2,048-card optical-interconnect GPU super-nodes already deployed at national-level computing platforms.

Specifications​

ModelComputeMemoryInterfaceTDPProcess
BR100256 TFLOPS (FP32) / 1,024 (BF16) / 2,048 (INT8)64GB HBM2EOAM (PCIe 5.0)550W7nm
BR104128 TFLOPS (FP32) / 512 (BF16) / 1,024 (INT8)32GB HBM2EPCIe 4.0250W7nm

Official Website​

Visit Official Website

Driver Downloads​

Linux​

OS Support​

WindowsLinuxmacOSAndroid
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Version History​

VersionRelease DateDescription
BIRENSUPA 1.02023PyTorch/TensorFlow compatible

Performance Benchmarks​

ModelTaskPerformance Metric
BR100BF16 TrainingNear A100 level (official data)
BR100General AI InferenceHigh throughput after INT8 optimization

Pricing​

ModelReference PriceNotes
BR100Contact vendorEnterprise customers, affected by export controls
BR104Contact vendorConsumer/workstation version

Quick Installation​

Linux​

# 1. Install Biren driver
sudo rpm -ivh biren-driver-*.rpm
# or on DEB systems
sudo dpkg -i biren-driver_*.deb

# 2. Verify
biren-smi

Due to export controls, driver and SDK acquisition channels are limited.

Code Examples​

Python (Biren CUDA Compatible)​

import torch
# BR100 uses CUDA-compatible backend
assert torch.cuda.is_available()
print(f"GPU: {torch.cuda.get_device_name(0)}")

Biren GPU aims for CUDA programming model compatibility. Check official documentation for specific support levels.

Architecture Highlights​

  • Biren Proprietary Architecture: Chiplet design with high compute and high-bandwidth interconnect
  • CUDA Compatibility Strategy: API-level CUDA compatibility for easy migration of existing CUDA applications
  • Export Controls: BR100 is on the US export control list, affecting commercialization

Model Compatibility​

Model/FrameworkSupportNotes
PyTorch⚠️ CUDA CompatibleCompatibility depends on driver version
Deep Learning Inference⚠️Ecosystem developing
General AI⚠️Affected by controls, low community activity

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