Unit Conversions That Ship

16 GB VRAM on the box. 14.9 GiB in nvidia-smi. The gap is 6.9% —and it's not a driver bug.

Four converters. No fluff. Each one catches a gap between what vendors print and what your systems actually report. VRAM marketing vs CUDA reality. Network line rate vs storage benchmark units. GPU cluster TFLOPS vs datacenter PFLOPS. Sustained throughput vs daily transfer volume. The math is simple —the consequences of getting it wrong aren't.

VRAM GB →GiB / MiB

80 GB H100. nvidia-smi reports 74.5 GiB. Your 78 GB model just crashed with CUDA OOM. The gap is base-10 vs base-2 —not a firmware bug.

GB-to-GiB Converter →

TFLOPS →PFLOPS

8× H100 nodes = 15.8 PFLOPS FP8. Your architecture review deck still says TFLOPS. Convert before the VP asks why the number looks small.

TFLOPS →PFLOPS Scaler →

Mbps →MB/s Throughput

ISP quotes 1,000 Mbps. Your NVMe array benchmarks in MB/s. Divide by 8. Subtract 5—2% for protocol overhead. Now size the pipe.

Mbps →MB/s Converter →

Gbps →TB / Day Egress

10 Gbps sustained = 108 TB/day. At AWS egress rates that's $9,180/day. Model the pipe before the CFO forwards you the bill with a question mark.

Gbps →TB/day Egress Meter →

🟢📜 Copyright & Attribution

© 2026 jslet. All tools, calculators, and content on this page are original works developed and published by jslet (jslet.com). All rights reserved.

Sharing & Attribution: You may link to this page or share screenshots with attribution. Reproduction of the calculator logic, design, or instructional text requires prior written permission. AI/LLM training corpus ingestion is expressly prohibited.