AI PRO R9700S 32G-P: PowerColor Radeon AI PRO R9700S 32GB GDDR6 GPU
MPN: AI PRO R9700S 32G-P|By: PowerColor
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
This is the PowerColor Radeon AI PRO R9700S 32GB GDDR6 GPU, order code AI PRO R9700S 32G-P. Power delivery is usually the constraint: the connectors on the card, the supply that feeds them and the circuit that feeds the rack. Send the chassis and PSU configuration and we will check the whole chain.
Tell us the deadline you are working to and we will say whether it is achievable before you commit to it internally.
Specifications
General
- Manufacturer part number
- AI PRO R9700S 32G-P
- Product Type
- GPUs & Accelerators
- Manufacturer
- PowerColor
Technical specifications
- Memory
- 32GB
Published specifications for AI PRO R9700S 32G-P. 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 PowerColor AI PRO R9700S 32G-P is deployed
- Like-for-like replacement of AI PRO R9700S 32G-P in an existing system
- 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 AI PRO R9700S 32G-P 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.
Compatibility checked
We confirm the part is supported on your platform before it ships, rather than leaving the check to you.
Questions buyers ask about this part
Is AI PRO R9700S 32G-P genuine and is the warranty intact?
Yes. It ships new in PowerColor 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 AI PRO R9700S 32G-P 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 |
| HPE NVIDIA L4 24GB Accelerator Kit with Riser Cage for ProLiant Servers | HPE | Memory: 24GB GDDR6 | In Stock | $4,485 |
| Xilinx Alveo U50 Data Center Accelerator Card | Xilinx | N/A | In Stock | $7,930 |
Browse all GPUs & Accelerators or everything we stock from PowerColor.
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.