ASUS TURBO-AI-PRO-R9700-32G 32GB workstation graphics card
- PCIe 5.0 x16
- AMD
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16 GB HBM2 accelerator with 3584 CUDA cores and 732 GB/s bandwidth for HPC and deep learning workloads
This workstation graphics card delivers 3584 CUDA cores and 16 GB of HBM2 memory on a 4096-bit interface. It connects via PCI Express 3.0 x16 and has a maximum power draw of 250 W. The Pascal architecture provides 9.3 teraFLOPS single-precision and 4.7 teraFLOPS double-precision performance.
The card targets high-performance computing, deep learning and scientific simulation workloads that benefit from 732 GB/s memory bandwidth. It is not suited for users who require video outputs for monitor connectivity or consumer graphics features. Buyers needing certified drivers for specific ISV applications should verify support independently.
The 16 GB HBM2 frame buffer with 4096-bit width determines the maximum model and dataset size that fits in local memory. This capacity is the primary factor when deciding if the card can handle a given workload without host memory paging.
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| Product | |
|---|---|
| Brand name | NVIDIA |
| Model name | 900-2H400-0000-000 |
| Memory | |
| Type of memory | HBM2 |
| Memory clock | 715 MHz |
| Graphics | |
| Graphics processor | Tesla P100 |
| Memory capacity | 16 GB |
| CUDA core count | 3584 |
| Core frequency | 1190 MHz |
| Chipset maker | NVIDIA |
| Memory bus width | 4096-bit |
| DirectX support | 12.1 |
| OpenGL support | 4.6 |
| Ports & slots | |
| Interface type | PCI Express 3.0 x16 |
| Size & build | |
| Dimensions (l x h) | Length: 267 mm(10.5 in) |
| Slots occupied | Dual Slot |
It means the GPU can theoretically execute 9.3 trillion single-precision floating-point operations per second, which determines peak throughput for compute kernels and deep-learning training tasks.
The PCI Express 3.0 x16 link caps host-to-device transfer rates at roughly 16 GB/s, so data movement between system memory and the 16 GB HBM2 frame buffer can become the bottleneck in data-heavy pipelines.
The board is 267 mm long and occupies two expansion slots, so it requires a case with at least 267 mm of clear length and two adjacent rear brackets; verify your chassis clearance and power-supply cables before installing.
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