OS2373NAP4DGI: AMD Opteron 2.1GHz Server CPU
MPN: OS2373NAP4DGI|By: AMD

Price
Quoted on request
Current pricing within 48 business hours.
In Stockships worldwide
- Condition:
- New (authorized channel)
- Warranty:
- Full manufacturer warranty
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Bulk order? Request volume pricing
Authorized & warrantied
Sourced through authorized distribution, with the full manufacturer warranty.
Compatibility checked
Validated against your server platform before dispatch.
Delivery & lead time
Confirmed with your quote, including expedited freight where available.
Business & public sector
POs, net terms and volume pricing for qualified organizations, government and edu.
Product overview
This is the AMD Opteron 2.1GHz Server CPU, order code OS2373NAP4DGI. Licensing is often counted per core, so the cheapest chip that fits the socket is not always the cheapest chip to run. Tell us what the host is licensed for and we will factor that into the recommendation.
No price is published here because the market for this part moves week to week; ask and we will give you a current one rather than a stale one.
Specifications
General
- Manufacturer part number
- OS2373NAP4DGI
- Processor Family
- Opteron
- Product Type
- Server Processors
- Manufacturer
- AMD
Technical specifications
- Clock Speed
- 2.1GHz
The table below is what the server processor is documented as, not what we have inferred from the part number. If the figure you need is missing, ask and we will source it from the manufacturer.
Where the AMD OS2373NAP4DGI is deployed
- Swapping out a failed server processor for OS2373NAP4DGI under change control
- Upgrading compute in place rather than replacing the chassis
- Consolidating licensed workloads onto fewer, larger cores
Who this part is for
- Integrators building to a specified CPU model and stepping
- Teams upgrading compute inside an existing chassis rather than replacing it
- Engineers matching a second socket to the processor already fitted
What you get ordering this from us
Ordered by part number
Quoted and supplied against OS2373NAP4DGI specifically, so what arrives is what your build sheet asks for.
Compatibility checked
We confirm the part is supported on your platform before it ships, rather than leaving the check to you.
Volume pricing
The listed price is per unit; tiered pricing applies at quantity and purchase orders are accepted.
Questions buyers ask about this part
Is OS2373NAP4DGI genuine and is the warranty intact?
Yes. Supplied new and unopened, so the manufacturer warranty and firmware update path stay supported. No grey-market stock and no refurbished units sold as new.
Will OS2373NAP4DGI work in my server?
Send the service tag. We check the platform's supported-CPU list and the BIOS revision it requires, and where the board is dual-socket we confirm what is in the other socket. A stepping the firmware does not recognise will not post.
Do you accept purchase orders and quote at volume?
Yes. Purchase orders are accepted from qualified organisations, net terms are available on approval, and tiered pricing applies at quantity. Tell us how many you need.
Compare other Server Processors we stock
| Model | Brand | Key spec | Availability | From |
|---|---|---|---|---|
| Intel Xeon Silver 4410Y 12-Core Server Processor LGA 4677 Sapphire Rapids | Intel | Cores / Threads: 12C / 24T | In Stock | $715 |
| Dell Xeon Silver 4310 12-Core Processor Kit with Heatsink for PowerEdge Servers | Dell Technologies | Cores / Threads: 12C / 24T | In Stock | $545 |
| HPE Xeon Silver 4310 12-Core Processor Kit with Heatsink for ProLiant Servers | HPE | Cores / Threads: 12C / 24T | In Stock | $560 |
| HP Xeon E5-2620 v2 6-Core Processor Kit with Heatsink for ProLiant Gen8 Servers | HP | Cores / Threads: 6C / 12T | In Stock | $55 |
| Lenovo ThinkSystem Xeon Silver 4310 12-Core Processor Option Kit with Heatsink | Lenovo | Cores / Threads: 12C / 24T | In Stock | $540 |
| Noctua NH-U14S TR5-SP6 140mm CPU Cooler | Noctua | CPU Socket: SP6 | In Stock | Request quote |
Browse all Server Processors or everything we stock from AMD.
Specifying a system, not just the part?
On a training or inference node the host CPU is sized around the accelerators it feeds, not chosen on its own.
