20-00FSA-08: HP 1GB 133MHz PC133 ECC RDIMM Rank Memory
MPN: 20-00FSA-08|By: HP

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
Part number 20-00FSA-08 identifies this HP 1GB 133MHz PC133 ECC RDIMM rank Memory. Population order decides whether you get the full memory bandwidth or a fraction of it, and the rules change between one and two processors. This is a 1GB module. Send the current layout and we will map the slots for you.
Quote requests are answered within 48 business hours, with availability confirmed before you raise a purchase order rather than after.
Specifications
General
- Manufacturer part number
- 20-00FSA-08
- Product Type
- Server Memory
- Manufacturer
- HP
Technical specifications
- Capacity
- 1GB
- Module Type
- ECC
These are the 4 facts we can state about 20-00FSA-08 without inferring anything. Compatibility beyond this is confirmed per platform, on request, before you order.
Where the HP 20-00FSA-08 is deployed
- Like-for-like replacement of 20-00FSA-08 in an existing system
- Standardising a host on one module type and speed
- Raising host memory to fit more virtual machines per node
Who this part is for
- Procurement buying memory kits against a documented configuration
- MSPs matching DIMMs to what a customer already has installed
- Engineers populating channels correctly on a new or part-filled board
What you get ordering this from us
Ordered by part number
Quoted and supplied against 20-00FSA-08 specifically, so what arrives is what your build sheet asks for.
Population mapped for you
Send the current DIMM layout and we return the slot map with the quote, so the modules go in the right order.
Answered by a human
A quote comes back with the reasoning attached, including the cases where we think you should buy something else.
Questions buyers ask about this part
Is 20-00FSA-08 genuine and is the warranty intact?
Yes. It ships new in HP packaging, which is what keeps the warranty and the firmware entitlement valid. Anything we cannot supply that way we tell you about before you order.
Will 20-00FSA-08 work in my server?
Send the server model and a list of the DIMMs already fitted. Rank, voltage and population order all have to agree, and a module that is electrically compatible can still be unsupported in a given slot. We map the population before you order.
Do you accept purchase orders and quote at volume?
Yes. We quote against a purchase order and hold the price for the quote period, with tiered rates at quantity. Net terms are available once the account is approved.
Compare other Server Memory we stock
| Model | Brand | Key spec | Availability | From |
|---|---|---|---|---|
| SK hynix 32GB DDR5-5600 PC5-44800 ECC Registered CL46 288-Pin RDIMM Server Memory Module | SK hynix | Capacity: 32GB | In Stock | $215 |
| Samsung 16GB DDR4-3200 PC4-25600 ECC Registered CL22 288-Pin RDIMM Server Memory Module | Samsung | Capacity: 16GB | In Stock | $55 |
| Micron 128GB DDR4-3200 PC4-25600 ECC Load-Reduced CL22 288-Pin LRDIMM Server Memory Module | Micron | Capacity: 128GB | In Stock | $500 |
| Dell Technologies 16GB DDR5-4800 PC5-38400 ECC RDIMM CL40 288-Pin Server Memory Module | Dell Technologies | Capacity: 16GB | In Stock | $95 |
| HPE 16GB DDR5-4800 PC5-38400 ECC RDIMM CL40 288-Pin Server Memory Module | HPE | Capacity: 16GB | In Stock | $95 |
| Lenovo 16GB DDR5-4800 PC5-38400 ECC RDIMM CL40 288-Pin Server Memory Module | Lenovo | Capacity: 16GB | In Stock | $90 |
Browse all Server Memory or everything we stock from HP.
Specifying a system, not just the part?
Host memory on an AI node is normally sized against accelerator memory, so the model and its working set both fit.
