Shenzhen, China – July 2025 – As global demand for AI infrastructure surges, the NVIDIA A800 80GB PCIe OEM emerges as a powerful and compliant alternative to the A100 series—purpose-built for high-performance computing, deep learning training, and inference in markets with export restrictions.
Designed as a data center-class GPU, the A800 PCIe variant offers exceptional tensor performance, memory capacity, and compatibility with NVIDIA’s full CUDA software ecosystem—while remaining compliant with international regulatory requirements.
Built for Large-Scale AI & HPC Workloads
Memory: 80GB HBM2e with 2TB/s bandwidth
Compute Power:
FP16 Tensor Core: up to 312 TFLOPS
BFLOAT16: up to 312 TFLOPS
FP32: 19.5 TFLOPS
NVLink Support: 400GB/s for multi-GPU scaling
TDP: 300W
Form Factor: Standard PCIe Gen4 (easy deployment)
Compared to the A100 PCIe, the A800 PCIe delivers similar memory bandwidth and performance—making it ideal for training models like BERT, LLaMA, and GPT variants while maintaining compliance for export in sensitive regions.
Why Choose the A800 80GB PCIe OEM?
Regulatory Compliance – Optimized for regions with export limitations (China, Russia, Middle East)
OEM Cost Efficiency – Lower pricing with no compromise in specs; excellent value per TFLOP
Seamless Integration – Supports major AI frameworks like PyTorch, TensorFlow, and JAX
Data Center Ready – Easily deployable in existing PCIe-based servers
Long-Term Availability – NVIDIA roadmap support through 2027+
