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PowerColor
PowerColor AI PRO R9700 32G-B 32GB workstation graphics card
Workstation graphics card with 32GB GDDR6 memory, 4096 stream processors and 64 RDNA 4 compute units for large-scale AI workloads
- InterfacePCI Express 5.0 x16
- Chipset ManufacturerAMD
- GPURadeon AI Pro R9700
- Core Clock1620MHz-2920MHz
- Stream Processors4096
- Memory Clock20 Gbps
- 32GB GDDR6 memory supports large-scale AI projects
- 64 AMD RDNA 4 compute units with second-generation AI accelerators deliver up to four times faster AI throughput
- PCI Express 5.0 x16 interface enables high-speed GPU-to-system data flow
- Four DisplayPort 2.1a outputs drive multiple high-resolution displays
- 267 mm dual-slot design fits standard workstation chassis for multi-GPU deployment
32GB GDDR6 workstation GPU
The PowerColor AI PRO R9700 32G-B is a workstation graphics card built on the AMD Radeon AI Pro R9700 GPU with 32GB of GDDR6 memory. It connects through a PCI Express 5.0 x16 interface and uses a 128-bit memory bus running at 20 Gbps. The board occupies two slots and measures 267 mm in length.
Suited for AI training, not for multi-monitor arrays
This card targets developers and researchers running large-model inference or training workloads that benefit from 32GB of video memory and 64 RDNA 4 compute units with second-generation AI accelerators. The four DisplayPort 2.1a outputs support display chains, yet the 128-bit bus and 300W power draw make it a poor fit for builders who need maximum memory bandwidth for high-resolution multi-monitor arrays or for compact cases that cannot accommodate a dual-slot 267 mm design.
128-bit memory interface width
The 128-bit memory interface is the specification that decides whether this GPU matches a workload. It determines the peak bandwidth available to the 32GB GDDR6 frame buffer and therefore governs performance in memory-bound AI and compute tasks. Buyers whose pipelines saturate wider buses should evaluate alternatives with broader interfaces.
Highlights
- 32GB GDDR6 memory supports large-scale AI projects
- 64 AMD RDNA 4 compute units with second-generation AI accelerators deliver up to four times faster AI throughput
- PCI Express 5.0 x16 interface enables high-speed GPU-to-system data flow
- Four DisplayPort 2.1a outputs drive multiple high-resolution displays
- 267 mm dual-slot design fits standard workstation chassis for multi-GPU deployment
Specifications
| Brand | PowerColor |
|---|---|
| Series | Radeon AI Pro |
| Model | AI PRO R9700 32G-B |
| Part Number | AI PRO R9700 32G-B |
| Interface | PCI Express 5.0 x16 |
| Chipset Manufacturer | AMD |
| GPU | Radeon AI Pro R9700 |
| Core Clock | 1620MHz-2920MHz |
| Stream Processors | 4096 |
| Memory Clock | 20 Gbps |
| Memory Size | 32GB |
| Memory Interface | 128-bit |
| Memory Type | GDDR6 |
| DirectX | DirectX 12 Ultimate |
| DisplayPort | 4 * DisplayPort™ 2.1a |
| AI Features | 64 AMD RDNA™ 4 Compute Units(with RT+AI Accelerators) |
| Power Consumption | 300W |
| Features | • AMD’s latest RDNA™ 4 architecture • 2nd Gen AI Accelerators delivering up to 4× faster AI throughput • 32GB Video Memory to support large-scale AI projects • PCIe Gen 5 Interface for high-speed GPU-system data flow • Standard 2-slot Design for multi-GPU deployment |
| Max GPU Length | 267 mm |
| Slot Width | 2 Slots |
| Dimensions (L x H) | 266.7*111.2*40mm |
| Shipping weight | 1.54 kg |
| Package size | 381 × 193 × 89 mm |
Questions about this item
My power supply has two 8-pin PCIe connectors — is that enough for the 300W board power?
The card draws up to 300W through the PCIe 5.0 x16 slot and auxiliary connectors, so a supply with two 8-pin cables rated for the total system load is required.
Will the 128-bit memory interface and 20 Gbps GDDR6 still feed the 4096 stream processors if I keep my PCIe 4.0 motherboard?
The GPU runs at PCIe 5.0 x16 but is backward compatible with PCIe 4.0; the 128-bit 20 Gbps memory subsystem operates independently of the slot generation.
After installing drivers, how do I confirm the 64 RDNA 4 compute units and 32GB VRAM are active?
Open AMD Software or run `rocminfo` — it will list 64 compute units, 32GB VRAM, and the 1620-2920 MHz clock range.
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