Terabit to Gigabyte

One terabit per second (Tbps) equals 125 gigabytes per second — enough to transfer the entire contents of a 1 TB hard drive in about 8 seconds. At this speed, you could download the entire Netflix library (estimated at around 100 petabytes) in roughly 800,000 seconds, or about 9 days.

Submarine fiber optic cables (such as the transatlantic cables connecting Europe and the Americas), long-haul terrestrial fiber routes, and the internal switching fabric of the largest hyperscale cloud data centers (Google, Amazon, Microsoft) operate at terabit and multi-terabit speeds. These use wavelength-division multiplexing (WDM) to carry many 100 Gbps or 400 Gbps channels on a single fiber.

Not in the foreseeable future for a single household connection. Current consumer endpoints (laptops, phones, TVs) cannot process or use data at terabit speeds — Wi-Fi 7 tops out around 46 Gbps theoretically. Terabit access would require new hardware at every endpoint. The practical benefit would be minimal since content servers themselves are not yet able to deliver at terabit rates to a single user.

Global internet traffic is measured in exabytes per month. Estimates suggest the internet backbone carries over 1,000 Tbps (1 Pbps) in aggregate during peak hours. Major internet exchange points (IXPs) like DE-CIX in Frankfurt regularly see peak traffic above 10 Tbps, and the largest cloud providers' internal networks operate at multi-petabit scales.

Current 5G mmWave cells can deliver up to 10–20 Gbps aggregate capacity shared among users in a sector. Industry roadmaps for 6G (targeted around 2030) aim for 1 Tbps aggregate throughput per cell site using sub-terahertz frequencies (100–300 GHz), massive MIMO antenna arrays, and intelligent reflecting surfaces. Achieving terabit wireless capacity requires extremely dense small-cell deployments — potentially one access point every 50–100 meters in urban areas.

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.