P05470-001: HPE Tesla V100 32GB HBM2 PCIe 3.0 Computational Accelerator (Volta architecture, dual-slot, refurbished)
MPN: P05470-001|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
HPE lists P05470-001 as an HPE/NVIDIA Tesla V100 32GB HBM2 PCIe 3.0 computational accelerator (volta architecture, dual-slot, refurbished). Passively cooled accelerators need chassis airflow to survive and will throttle or shut down in a workstation. Tell us where it is going and we will confirm the cooling before you order.
We return an itemised quote within 48 business hours, and we say plainly when a part is constrained rather than quoting a date we cannot hold.
Specifications
General
- Manufacturer part number
- P05470-001
- Product Type
- GPUs & Accelerators
- Manufacturer
- HPE
Technical specifications
- Memory
- 32GB
The table below is what the GPU accelerator 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 HPE P05470-001 is deployed
- Swapping out a failed GPU accelerator for P05470-001 under change control
- Building a training or inference node to a fixed budget
- Standardising a cluster on one accelerator model
Who this part is for
- Engineers checking slot width, power and airflow before committing
- ML teams adding accelerators to servers that are already racked
- Research groups sizing a training or inference node to a budget
What you get ordering this from us
Ordered by part number
P05470-001 is what is quoted and P05470-001 is what ships; where an alternate code is genuinely the same part we name it rather than swap it silently.
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 P05470-001 genuine and is the warranty intact?
Yes, new and sealed, with the HPE warranty and the firmware update path intact. We do not sell refurbished stock as new, and we do not source grey-market units.
Will P05470-001 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, POs from qualified organisations, net terms on approval, and banded pricing once the quantity is worth banding. Send the number and we will price it properly.
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.
