NVIDIA Mellanox® MFA1A00-E050 — Active Optical Cable (AOC)

Specifications

OEM: NVIDIA Mellanox
Part Number (MPN): MFA1A00-E050
Category: Active Optical Cable (AOC)
Connector Type: QSFP
Speed: 100GbE
InfiniBand Generation: EDR
Cable Length: 50m
Protocol Support: InfiniBand
Standards & Compliance: IBTA EDR
Operating Temperature: 0°C to 70°C (commercial)
Condition: Refurbished Grade A — bench-tested by T.E.S IT-SOLUTIONS


Identity
The NVIDIA Mellanox® MFA1A00-E050 is a QSFP 100GbE 50m Active Optical Cable (AOC). Refurbished Grade A — bench-tested in both link and signal-integrity checks by T.E.S IT-SOLUTIONS.

What This Is NOT

NOT a passive copper DAC. Active optical cable using VCSEL multi-mode fiber technology with integrated optics on each end — reaches longer distances than DAC.
NOT a transceiver. Fixed-length cable assembly; the optics are integrated and cannot be removed or replaced.
NOT a splitter or breakout cable. 1-to-1 cable assembly only.
NOT bundled with adapters or transceivers — sold standalone.


Capabilities & Features

VCSEL multi-mode optical engine, 850 nm.
Active retiming on each end for clean signal regeneration.
DDM (Digital Diagnostic Monitoring) — temperature, voltage, optical power readable via I²C.
EEPROM on each end with product identification and operating data.
Hot-pluggable into any matching QSFP/SFP cage.


Compatibility & Constraints

Primary connector: QSFP (compliant with MSA cage spec).
Reach: 50m fixed length.
Speed: 100GbE.
Compatible adapters: ConnectX-4 / ConnectX-5 / ConnectX-6.
Compatible switches: NVIDIA Spectrum / Spectrum-2 / Switch-IB 2.
Power: drawn from host port (no external supply required).


Deployment & Use Cases

Top-of-Rack to server interconnect.
HPC compute node fabric.
AI training cluster east-west bandwidth.


Why T.E.S IT-SOLUTIONS
Every unit is bench-tested by T.E.S IT-SOLUTIONS: link establishment, port-by-port traffic validation, and full cosmetic inspection. Professional anti-static packaging, global B2B shipping from EU stock, and technical consultation for HPC / AI cluster deployments.