Exbibit to Megabyte

An exabit (Ebit) = 10¹⁸ bits (SI decimal). An exbibit (Eibit) = 2⁶⁰ bits ≈ 1.1529 × 10¹⁸ bits (IEC binary). Exbibit is 15.29% larger — the cumulative product of using 1,024 instead of 1,000 at each of six prefix steps. This is the largest practically relevant SI vs IEC gap for bit units in current storage contexts.

Exbibit is used in: computer science academic literature on exascale computing, theoretical storage system design papers, and formal IEC/IEEE standards. No commercial product, OS, or consumer application currently displays exbibits. It is primarily a unit for academic and standards consistency — ensuring the IEC prefix family extends uniformly from kibi- to exbi- (and beyond to zebi- and yobi-).

After exbibit (Eibit, 2⁶⁰ bits) come: zebibit (Zibit, 2⁷⁰ bits) and yobibit (Yibit, 2⁸⁰ bits). These are defined in the IEC 80000-13 standard but have no current practical applications. The IEC binary prefix family deliberately mirrors the SI prefix family, ensuring consistent naming as computing scale continues to grow.

Frontier (Oak Ridge, 2022) achieved 1.194 exaFLOPS, with its Slingshot-11 fabric moving data at aggregate rates measurable in exbibits per second across 9,408 nodes. Aurora (Argonne, 2024) targets similar throughput with over 63,000 GPUs. At these scales, a single checkpoint of a full-system simulation can exceed 1 Eibit of state data, making exbibit a natural unit for describing I/O bandwidth requirements.

The IEC currently defines up to yobibit (Yibit, 2⁸⁰ bits). In 2022, the SI system added ronna- (10²⁷) and quetta- (10³⁰), but the IEC has not yet created matching binary prefixes (ronnibit? quettibit?). With global data creation projected to exceed 1 yottabit annually by the 2030s, pressure is mounting for the IEC to extend the binary prefix family — though the naming convention ("ronnibi-"?) remains an open question.

A JPEG photo from a modern smartphone is typically 3–8 MB depending on resolution and compression settings. A RAW format photo from a DSLR or mirrorless camera is 20–50 MB per shot. A PNG screenshot at full HD (1920×1080) is about 1–3 MB; a compressed JPEG screenshot may be under 200 kB.

Video data usage depends heavily on quality: SD video uses roughly 700 MB per hour; HD (1080p) uses 1.5–3 GB per hour; 4K uses 7–20 GB per hour. These are byte-based measurements. In terms of bitrate: SD ≈ 1.5 Mbps, HD ≈ 5–8 Mbps, 4K ≈ 15–25 Mbps — where the "b" is bits, requiring division by 8 to convert to MB/s.

Compression algorithms like ZIP, GZIP, and ZSTD find and eliminate redundancy in data. Typical ratios vary dramatically by file type: plain text compresses to 20–30% of original size (a 10 MB log file becomes 2–3 MB); source code compresses to 25–35%; office documents (DOCX, XLSX) are already ZIP-compressed internally, so re-compressing gains little. JPEG, MP3, and H.264 video are already lossy-compressed and typically shrink by less than 5% with ZIP. A 100 MB folder of mixed files typically compresses to 40–60 MB. The key principle: compression removes statistical redundancy, so already-compressed or random data cannot be reduced further.

MB (megabyte) = 1,000,000 bytes (SI decimal). MiB (mebibyte) = 1,048,576 bytes (IEC binary). The difference is about 4.9%. Windows historically displayed storage in binary units but labelled them as "MB" — confusingly. Since Windows Vista, Microsoft has used the binary calculation consistently. macOS switched to SI decimal units in OS X 10.6 Snow Leopard (2009), matching the way hard drive manufacturers measure capacity.

Approximate data consumption per hour: web browsing = 60–100 MB, social media scrolling = 100–300 MB, music streaming (Spotify standard) = 40–50 MB, video calls (Zoom standard quality) = 300–500 MB, YouTube HD = 1,500–3,000 MB. These are rough averages and vary by content, settings, and network conditions.