TB →PB
1 PB = 1,024 TB. Cold-tier your S3 IA before the next quarterly bill arrives.
TB →PB Scaler →PB →EB
Crossed 1 PB? Next stop: exabyte. Scale the Ceph cluster before the purchase order lands.
PB →EB Scaler →GiB vs GB — The 6.9% Lie
Box: 1 TB. OS: 931 GB. Nobody stole 69 GB. It's base-10 vs base-2. Quantify the gap on every drive you buy.
GiB vs GB Analyzer →Token Count →Storage
1B tokens × 4 bytes = 4 GB raw. Then tokenizer overhead. Then dataset metadata. Size the data lake before the GPUs sit idle.
Token →Storage Estimator →IOPS →Throughput
10K IOPS × 16K blocks = 160 MB/s ceiling. Your app needs 250 MB/s. You're bottlenecked. Fix it before the DBA pages you.
IOPS →Throughput →DB Rows →Storage
50M rows. 3 indexes. 200 bytes/row. That's 30 GB before WAL, before replication lag. Size the RDS instance correctly.
Row →Storage Profiler →Redis RAM Inflation
4 GB JSON on disk. 6— GB in Redis with hashtable-encoding overhead. Model the heap before you hit SWAP at peak traffic.
Redis RAM Profiler →Video Encoding Optimizer
H.264 vs H.265 vs AV1 vs VP9 — file size, bitrate, and encoding time compared. Content-type presets + CRF reverse calculator. Find the CRF that hits your target file size.
Video Encoding Optimizer →Parquet vs CSV Compression
150 GB CSV → 15 GB Parquet with Snappy. Columnar storage + predicate pushdown. Athena queries drop 10× in cost. S3 bill drops 90%.
Parquet vs CSV Profiler →KV Cache VRAM Inflation
32K context window. Every 1K tokens burns more VRAM. At long sequences, KV cache dwarfs model weights. Map it before you provision.
KV Cache Profiler →