High-bandwidth
Also written: Bandwidth
The speed and volume of data that can be moved from one place to another.
High-bandwidth means that a lot of information can be sent very fast. Think of it like a highway. A highway with many lanes and a high speed limit can move many cars quickly. A low-bandwidth connection is like a narrow, slow road.
In AI, this is important for moving large amounts of data, like training information or user requests, between different parts of a system or to and from the AI model itself. Faster, wider connections mean the AI can process information and respond more quickly.
High-bandwidth refers to the maximum rate of data transfer across a given path. It is typically measured in bits per second (bps), kilobits per second (Kbps), megabits per second (Mbps), gigabits per second (Gbps), or terabits per second (Tbps).
In the context of AI, high-bandwidth is critical for efficient operation, particularly in training large models that require massive datasets and in deploying models that need to handle high volumes of inference requests with low latency. Tradeoffs involve cost, power consumption, and physical infrastructure.
The push for more powerful AI models requires faster data transfer to handle increasingly large datasets and complex computations. Advances in hardware and networking are enabling the high-bandwidth connections needed for these next-generation AI systems.
- Investing in Merge LabsOpenAI · OpenAI News ·
- OpenAI ChatGPT
- OpenAI's investments in areas like brain-computer interfaces suggest a focus on high-bandwidth communication for seamless human-AI interaction.
- Latency
- Latency is the delay before a transfer of data begins following an inst
- Throughput
- Throughput is the average rate of successful data transfers. It is o
The term 'bandwidth' originated in electrical engineering and radio communications to describe the range of frequencies within a given band, especially when used for transmitting a signal. It was later adopted in computer networking to describe data transfer capacity. Source ↗
While you can't directly test bandwidth with current AI products, you can observe its effects. Try sending a very long, complex prompt to an AI model like ChatGPT. If the response is quick, it suggests the underlying systems have good bandwidth to process your request. Conversely, if it's slow, it might indicate a bottleneck, which could be related to bandwidth.
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Questions people ask
- What is bandwidth in simple terms?
- Bandwidth is like the width of a pipe. A wider pipe (high bandwidth) lets more water (data) flow through at once, making things faster.
- Why is high bandwidth important for AI?
- AI models, especially large ones, need to process huge amounts of data. High bandwidth allows this data to be moved quickly between the model and its memory or storage, speeding up training and responses.
First seen on Subvolts Jan 15, 2026. Updated Sep 15, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.