Gigabyte to Bit

Hard drive manufacturers measure 1 TB as 1,000,000,000,000 bytes (decimal). Windows displays storage in gibibytes (binary) but historically labelled them as "GB" — so 1,000,000,000,000 bytes ÷ 1,073,741,824 ≈ 931 GiB, which Windows displayed as "931 GB". macOS (since 10.6) correctly reports the same drive as "1 TB" using decimal GB. The drive is not lying; the OS was using a binary unit with a decimal label.

8 GB RAM is the current minimum for gaming; 16 GB is the recommended standard for most modern games at 1080p and 1440p; 32 GB benefits heavily multitasking systems or games with large open worlds. Memory-intensive tasks like video editing, 3D rendering, and running large language models locally typically require 32–64 GB or more.

A 4K movie in H.264 or H.265 encoding is typically 50–100 GB on Blu-ray; streaming services compress aggressively to 15–25 GB for 4K HDR content. Netflix's 4K streams average about 7 GB per hour; the downloaded version via the Netflix app for offline viewing is roughly 3–6 GB per hour at high quality settings.

1 GB of mobile data supports roughly: 2–3 hours of music streaming, 1 hour of HD video streaming, 2–3 hours of web browsing, or 30–60 minutes of video calling. Social media apps with autoplay video are heavy consumers — TikTok and Instagram Reels can use 300–600 MB per hour of active use.

AI model sizes vary enormously. GPT-2 (2019) is about 1.5 GB; Llama 2 7B is roughly 13 GB in float16 precision; Llama 2 70B is about 130 GB. GPT-4-class models are estimated at 500+ GB. Quantised (compressed) versions are smaller: a 4-bit quantised 7B model fits in about 4 GB, runnable on a modern laptop. Training requires far more — the training dataset, gradients, and optimizer states for a 70B model can occupy 1–2 TB of GPU memory across a cluster. The trend toward larger models is driving consumer GPU memory from 8 GB to 16–24 GB as a baseline for local AI inference.

A bit is a single binary value (0 or 1); a byte is a group of 8 bits. Bytes are the standard unit for file sizes, memory, and storage. Network speeds are typically quoted in bits per second (Mbps), while file sizes use bytes (MB) — so a 100 Mbps connection downloads 100 megabits, or about 12.5 megabytes, per second.

Networking hardware physically transmits one bit at a time over a wire or radio signal, so bits per second is the natural unit for measuring throughput. The convention predates widespread file-size awareness. When you see "100 Mbps broadband", your actual download speed in MB/s is about 1/8 of that — roughly 12.5 MB/s.

A classical bit is definitively 0 or 1. A qubit can exist in a superposition of both states simultaneously, described by two complex probability amplitudes. When measured, a qubit collapses to 0 or 1 — yielding one classical bit of information. The power of qubits lies in entanglement and interference during computation, not in storing more data per unit. A 100-qubit quantum computer does not store 100 bits more efficiently; it explores 2¹⁰⁰ computational paths in parallel for specific algorithm types like factoring and search.

Information theory, developed by Claude Shannon in 1948, quantifies how much information a message contains. One bit is the amount of information needed to resolve a choice between two equally likely outcomes. This abstraction underpins all digital compression, encryption, and error-correction — from MP3 audio to HTTPS security.

In practice, modern computers cannot address or store a single bit individually — the minimum addressable unit is one byte (8 bits). Trying to store a single bit requires a full byte, with 7 bits unused. Some specialised hardware and bit-packing algorithms can store multiple boolean values per byte, but standard memory hardware works at byte granularity.