AI انٹرکنیکٹس اور آپٹکس
ہماری ٹیم ترجمے پر کام کر رہی ہے۔ یہ مضمون عارضی طور پر اردو میں دستیاب نہیں ہے، اس لیے اسے انگریزی میں دکھایا جا رہا ہے۔
AI clusters connect GPUs with either InfiniBand or high-speed Ethernet. Both push the optics to the fastest modules in production.
InfiniBand vs Ethernet (RoCE)
| InfiniBand | Ethernet + RoCE | |
|---|---|---|
| Flow control | credit-based, lossless | PFC/ECN, lossless |
| RDMA | native | RoCEv2 |
| Current rate | NDR (400G) | 400G / 800G |
| Ecosystem | HPC-rooted | broad, multi-vendor |
Both are valid choices; many large clusters use InfiniBand, while Ethernet+RoCE is growing quickly for AI at scale.
Rates and modules
- 400G — QSFP-DD or OSFP, built from 4×100G or 8×50G lanes.
- 800G — OSFP or QSFP-DD800, typically 8×100G lanes.
The rate and lane count set the form factor; InfiniBand generations and their per-lane rates are in InfiniBand speeds.
Reach types
Inside a rack, short DR/SR optics or direct-attach and active cables dominate; between rows, FR/LR single-mode optics carry the longer hops. High density means a single switch can host hundreds of these modules.
Whatever the reach, these modules carry standard managed memory — CodingBox reads their identity and DDM to verify a link before it joins the fabric.