The NVIDIA A100 2-Way NVLink Bridge Adapter is purpose-built to enable high-speed GPU-to-GPU communication between two NVIDIA A100 GPUs installed in adjacent 2-slot PCIe configurations. Utilizing NVLink 3.0 technology, this bridge offers a dedicated high-bandwidth interconnect that significantly enhances multi-GPU performance for data-intensive workloads.
It allows two A100 PCIe GPUs to share memory and data more efficiently, enabling faster execution of AI training, inference, data analytics, and high-performance computing (HPC) tasks. This 2-slot x16 NVLink bridge delivers a bi-directional bandwidth of up to 600 GB/s, allowing your applications to scale seamlessly across GPUs.
Key Features:
- High-Speed GPU Interconnect
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- NVLink 3.0 enables up to 600 GB/s bi-directional bandwidth between two A100 GPUs — far exceeding standard PCIe 4.0 speeds.
- Memory Pooling Across GPUs
- Allows two GPUs to operate with unified memory, sharing model parameters and datasets efficiently in large-scale AI workloads.
- Optimized for AI & HPC
- Ideal for training massive neural networks, running large language models (LLMs), or performing parallel scientific simulations.
- Compact and Passive Design
- Easily installs between two A100 GPUs mounted in adjacent PCIe slots without additional power or software requirements.
Applications:
- AI Model Training
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- Train large deep learning models (BERT, GPT, ResNet) faster by enabling efficient data sharing between GPUs.
- Inference Acceleration
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- High-throughput inference for vision, NLP, and recommender systems.
- HPC Simulations
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- Weather modeling, molecular dynamics, fluid simulation, and physics-based computation.
Why Choose NVIDIA A100 2-Slot NVLink Bridge?
- Unlock Full A100 GPU Potential
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- Enables tight coupling of A100 GPUs to boost memory access and computation throughput.
- Better than PCIe Alone
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- PCIe 4.0 delivers ~64 GB/s vs. NVLink’s up to 600 GB/s — massive performance uplift for memory-bound applications.
- Seamless Integration
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- Designed specifically for 2-slot spacing; no external tools or configuration required.