Q9U36A: HPE Tesla V100 32GB PCIe Computational Accelerator (Volta architecture, 300W, dual-slot, refurbished)
MPN: Q9U36A|By: HPE
Price
Quoted on request
Current pricing within 48 business hours.
In Stockships worldwide
- Condition:
- New (authorized channel)
- Warranty:
- Full manufacturer warranty
Prefer your own inbox? Email us about this part
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 Q9U36A identifies this HPE HPE/NVIDIA Tesla V100 32GB PCIe computational accelerator (volta architecture, 300W, dual-slot, refurbished). Power delivery is usually the constraint: the connectors on the card, the supply that feeds them and the circuit that feeds the rack. This part draws up to 300W. Send the chassis and PSU configuration and we will check the whole chain.
Send the quantity you need and we will come back within 48 business hours with availability confirmed, not estimated.
Specifications
General
- Manufacturer part number
- Q9U36A
- Product Type
- GPUs & Accelerators
- Manufacturer
- HPE
Technical specifications
- Memory
- 32GB
- Power Rating
- 300W
Specifications for Q9U36A as published by HPE. Where a value is absent it is because we could not verify it, not because it does not exist. Ask and we will check.
Where the HPE Q9U36A is deployed
- Sourcing Q9U36A against a build sheet that names it explicitly
- Adding accelerators to servers that are already racked
- Standardising a cluster on one accelerator model
Who this part is for
- Procurement buying accelerators on a purchase order at lead time
- Integrators building to a specified accelerator and chassis pairing
- Research groups sizing a training or inference node to a budget
What you get ordering this from us
Ordered by part number
Quoted and supplied against Q9U36A specifically, so what arrives is what your build sheet asks for.
No substitutions without asking
If we cannot supply the exact code we tell you what we can supply and why, rather than shipping an equivalent and letting you find out.
Chassis fit confirmed first
Slot width, auxiliary power connectors and airflow are checked against your platform before we quote the card.
Questions buyers ask about this part
Is Q9U36A 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 Q9U36A work in my server?
Send the chassis model. Slot width, auxiliary power connectors and airflow decide this before the silicon does, and a passively cooled card in the wrong chassis will throttle or shut down.
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 GPUs & Accelerators we stock
| Model | Brand | Key spec | Availability | From |
|---|---|---|---|---|
| NVIDIA L4 24GB PCIe Data Center GPU Accelerator | NVIDIA | Memory: 24GB GDDR6 | In Stock | $3,120 |
| AMD Instinct MI210 64GB HBM2e Data Center GPU Accelerator | AMD | Memory: 64GB HBM2e | In Stock | $10,920 |
| Intel Data Center GPU Flex 140 12GB GDDR6 PCIe Accelerator | Intel | Memory: 12GB GDDR6 | In Stock | $935 |
| Dell NVIDIA L4 24GB GPU Kit with Riser and Bracket for PowerEdge Servers | Dell Technologies | Memory: 24GB GDDR6 | In Stock | $4,420 |
| Xilinx Alveo U50 Data Center Accelerator Card | Xilinx | N/A | In Stock | $7,930 |
| ASRock Intel Arc Pro B70 Creator 32GB graphics card | ASRock | Memory: 32GB | In Stock | Request quote |
Browse all GPUs & Accelerators or everything we stock from HPE.
Specifying a system, not just the part?
Accelerators are usually bought as part of a node rather than on their own, because the chassis, power and cooling have to match the card.