About Bandwidth Converter
Bandwidth Converter clarifies bit-rate and byte-rate units so throughput numbers stay consistent across dashboards, cloud vendors, and transport tooling.
converters
Bandwidth Converter
convert network throughput between bit and byte rate units
Live output enabled
Ready
Use Cases
- Translate ISP or network card rates (Mbps/Gbps) into app-level transfer rates (MB/s).
- Estimate ingestion and replication throughput in storage pipelines.
- Avoid bit/byte confusion when setting performance budgets.
Examples
Convert a common network line rate to byte throughput.
Input
Input Value: 100
Input Unit: Mbps
Output
MB/s: 12.5
Gbps: 0.1
Kbps: 100,000
Convert service throughput from MB/s into bit-rate terms.
Input
Input Value: 250
Input Unit: MB/s
Output
Mbps: 2,000
Gbps: 2
TB/s: 0.00025
Bandwidth Unit Reference
| Format | How Many Bits Per Second | What It Means | Scale Example |
|---|---|---|---|
| bps | 1 | Bits per second | Legacy serial links or control-plane channels |
| Kbps | 1,000 | Kilobits per second | Low-bandwidth telemetry links |
| Mbps | 1,000,000 | Megabits per second | Typical home/office broadband plans |
| Gbps | 10^9 | Gigabits per second | Datacenter uplinks and modern backbone segments |
| Tbps | 10^12 | Terabits per second | Carrier and hyperscale backbone capacity |
| B/s | 8 | Bytes per second | Application-level payload throughput |
| KB/s | 8,000 | Kilobytes per second | Small sync jobs and low-volume streams |
| MB/s | 8,000,000 | Megabytes per second | Storage replication and media ingest |
| GB/s | 8 * 10^9 | Gigabytes per second | High-performance distributed data paths |
| TB/s | 8 * 10^12 | Terabytes per second | Extreme aggregate throughput modeling |
FAQ
Why does 100 Mbps only show about 12.5 MB/s?
Network line rates are usually expressed in bits, while file/app throughput is usually bytes. Divide by 8 to convert bits to bytes before accounting for protocol overhead.
Should I budget throughput in bits or bytes?
Use bits for network interfaces and contracts, bytes for storage and application throughput. Keep both visible to avoid mismatch between teams.