Gigabyte Radeon AI PRO R9700 32GB Graphics Card
Gigabyte Radeon AI PRO R9700 32GB Graphics Card
SKU:VCG-GV-R9700AITOP-32GD
The Gigabyte Radeon AI PRO R9700 is a professional-grade graphics card designed for AI workloads and compute-intensive applications. Featuring 32GB GDDR6 memory, 4096 stream processors, and 128 AI accelerators, it delivers exceptional performance for machine learning and data processing tasks.
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- 36 months Manufacturer Warranty
Product Information
| Brand | Gigabyte |
|---|---|
| Category | Video/Graphics Cards |
| SKU | VCG-GV-R9700AITOP-32GD |
| Availability | In Stock |
Overview
- The Gigabyte Radeon AI PRO R9700 is a high-performance GPU designed specifically for artificial intelligence and professional compute tasks. With 32GB of dedicated GDDR6 memory and a massive 640 GB/s memory bandwidth, this card excels at processing large datasets and training complex neural networks.
The R9700 combines 4096 stream processors with 128 dedicated AI accelerators, delivering class-leading performance for both FP32 (47.8 TFLOPS) and lower-precision operations essential for modern AI frameworks. The inclusion of 64 ray accelerators adds capability for rendering-heavy workloads.
Built for data centre and workstation environments, the card features PCIe 5.0 connectivity for seamless integration with current and future systems. Its comprehensive codec support including AV1 makes it suitable for organisations handling 4K video processing alongside AI applications.
With a 3-year warranty and professional-grade reliability, this is a trusted choice for enterprises deploying GPU acceleration at scale.
Specifications
| Graphics Processing Unit | AMD Radeon AI PRO R9700 |
|---|---|
| Stream Processors | 4096 |
| Computing Units | 64 |
| AI Accelerators | 128 |
| Ray Accelerators | 64 |
| Render Output Units (ROPs) | 128 |
| Boost Clock Speed | 2920 MHz |
| Game Clock Speed | 2350 MHz |
| Peak FP32 Performance | 47.8 TFLOPS |
| Peak FP16 Performance | 95.7 TFLOPS |
| Peak INT8 Performance | 766 TOPS |
| Peak INT4 Performance | 1531 TOPS |
| Memory Size | 32GB |
| Memory Type | GDDR6 |
| Memory Clock | 20000 MHz |
| Memory Bus Width | 256-bit |
| Memory Bandwidth | 640 GB/s |
| Maximum Digital Resolution | 7680 x 4320 |
| Multi-view Support | 4-view |
| PCIe Interface | PCIe 5.0 x16 |
| Power Connectors | 1x 16-pin |
| Recommended PSU | 750W |
| Card Dimensions | 267 (L) × 111 (W) × 40 (H) mm |
| Form Factor | Dual-slot ATX |
| Display Outputs | 3x DisplayPort 2.1a, 1x HDMI 2.1b |
| Video Codec Support | H.264, H.265/HEVC, AV1 (hardware-accelerated decode/encode for 4K) |
| DirectX Version | 12 |
| OpenGL Version | 4.6 |
| Warranty | 36 months |
Key Features
Ideal For
FAQs
What workloads is the Radeon AI PRO R9700 designed for?
This card is optimised for AI and machine learning workloads, including model training, inference, data processing, scientific computing, and professional video encoding. Its 128 AI accelerators and high FP16 performance make it ideal for deep learning frameworks.
Does this card support multiple monitors?
Yes. The card features 3x DisplayPort 2.1a and 1x HDMI 2.1b output, supporting up to 4-view configurations for multi-monitor professional setups.
What is the power requirement?
A minimum 750W PSU is recommended. The card uses a single 16-pin power connector and requires appropriate power delivery for stable operation under load.
Is this card compatible with my existing system?
The card uses a standard PCIe 5.0 x16 interface, making it compatible with most modern motherboards. Ensure your PSU has adequate power and your chassis has sufficient space (dual-slot, 267mm length).
What video codecs does it support?
The R9700 provides hardware-accelerated encoding and decoding for H.264, H.265/HEVC, and AV1 codecs, including 4K content processing.
What warranty is included?
The card comes with a 3-year manufacturer warranty, providing comprehensive coverage for professional and enterprise deployments.
How does the 32GB memory benefit AI applications?
The 32GB of GDDR6 memory with 640 GB/s bandwidth allows the card to hold large datasets and models in-memory, reducing data transfers and significantly accelerating training and inference speeds for complex AI models.
