R0W29A: HPE NVIDIA Tesla T4 16GB GDDR6 PCIe 3.0 x16 Computational Accelerator (Turing architecture, passive cooling, 70W)
MPN: R0W29A|By: HPE
Starting from
$900
Indicative. Final pricing is confirmed with your quote.
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
R0W29A is an HPE NVIDIA Tesla T4 16GB GDDR6 PCIe 3.0 x16 computational accelerator (turing architecture, passive cooling, 70W). Accelerators are limited by the chassis before they are limited by the silicon: slot width, auxiliary power and airflow decide what a server can actually take. Tell us the platform and we will confirm it fits.
The listed price is per unit and current; tell us the quantity and we will confirm what it holds at before you raise the order.
Specifications
General
- Manufacturer part number
- R0W29A
- Product Type
- GPUs & Accelerators
- Manufacturer
- HPE
Technical specifications
- Memory
- 16GB
- Power Rating
- 70W
Published specifications for R0W29A. Anything not listed here we will confirm against the manufacturer's documentation before quoting, because we would rather answer the question than let you assume.
Where the HPE R0W29A is deployed
- Swapping out a failed GPU accelerator for R0W29A under change control
- Replacing a failed accelerator in a production node
- Adding accelerators to servers that are already racked
Who this part is for
- Engineers checking slot width, power and airflow before committing
- Research groups sizing a training or inference node to a budget
- Integrators building to a specified accelerator and chassis pairing
What you get ordering this from us
Ordered by part number
Quoted and supplied against R0W29A specifically, so what arrives is what your build sheet asks for.
Volume pricing
The listed price is per unit; tiered pricing applies at quantity and purchase orders are accepted.
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 R0W29A 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 R0W29A 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.