Gigabyte AORUS GeForce RTX 5080 MASTER 16GB GDDR7
Brand: Gigabyte | Category: GPUs
SKU: GV-N5080AORUS-M-16GD | Part #: GV-N5080AORUS-M-16GD | MPN: GV-N5080AORUS-M-16GD
Contact for Pricing — Request a Quote
About the Gigabyte AORUS GeForce RTX 5080 MASTER 16GB GDDR7
Built on NVIDIA's Blackwell architecture, the Gigabyte AORUS GeForce RTX 5080 MASTER (GV-N5080AORUS-M-16GD) combines 10,752 CUDA cores with 336 Tensor cores to deliver sustained performance across gaming, 3D rendering, and AI-accelerated workloads. The 16GB GDDR7 memory with 256-bit interface provides ample bandwidth for complex scene processing and large dataset handling, while the 2617 MHz boost clock ensures consistent throughput across extended rendering sessions. PCIe 5.0 x16 connectivity maximizes data transfer rates for enterprise environments requiring rapid model training and inference operations.
This enterprise-grade accelerator excels in professional applications including real-time ray tracing (84 RT cores), DLSS 4 frame generation for content creators, machine learning inference, and computational fluid dynamics simulations. The 360W power envelope integrates efficiently into data center infrastructures, while comprehensive connectivity—3× DisplayPort 2.1 and 1× HDMI 2.1b—supports multi-monitor and broadcast production setups. Gigabyte's WINDFORCE cooling architecture with copper heat pipes manages sustained thermal loads typical of render farms and AI compute clusters.
- 10,752 CUDA cores optimized for parallel compute and graphics acceleration
- 336 Tensor cores purpose-built for matrix operations and AI workloads
- 16GB GDDR7 memory with 256-bit interface for bandwidth-intensive applications
- PCIe 5.0 x16 connectivity for enterprise server integration
- 360W TDP for predictable power budgeting in clustered deployments
Contact Omnixon Global for enterprise volume pricing and tailored deployment support across GCC, Asia, and Europe. Request an RFQ today for the Gigabyte AORUS RTX 5080 MASTER and discover competitive advantages for your AI, rendering, and simulation infrastructure.
```Technical Specifications
| Brand | Gigabyte |
| Category | GPUs |
| SKU | GV-N5080AORUS-M-16GD |
| Part Number | GV-N5080AORUS-M-16GD |
| Condition | New |
| Capacity | 16GB GDDR7 |
| Form Factor | PCIe Graphics Card |
| Interface | PCIe 5.0 x16 |
| Speed | 2617 MHz |
| GPU Model | RTX 5080 |
| Power Supply | 360W |
| GPU Count | 5080x |
| GPU Chip | GB203 |
| Max Memory | 16GB GDDR7 |
| Memory Bus | 256-bit |
| Max Frequency | 2617 MHz |
| CUDA Cores / Stream Processors | 10752 |
| RT Cores / Ray Accelerators | 84 |
| Tensor Cores / AI Accelerators | 336 |
| TDP | 360W |
| PCIe Interface | PCIe 5.0 x16 |
| Display Outputs | 3x DP 2.1, 1x HDMI 2.1b |
Frequently Asked Questions about Gigabyte AORUS GeForce RTX 5080 MASTER 16GB GDDR7
What does the Gigabyte AORUS GeForce RTX 5080 MASTER 16GB GDDR7 do?
The Gigabyte AORUS GeForce RTX 5080 MASTER 16GB GDDR7 accelerates AI/ML training, inference, scientific HPC, and virtualization (vGPU) workloads. Typical deployments include LLM training clusters, computer-vision pipelines, financial risk modeling, and rendering farms.
What are the headline specs of the Gigabyte AORUS GeForce RTX 5080 MASTER 16GB GDDR7?
Key specifications for the Gigabyte AORUS GeForce RTX 5080 MASTER 16GB GDDR7: capacity 16GB GDDR7; form factor PCIe Graphics Card; interface PCIe 5.0 x16; new condition; gpu model RTX 5080; gpu chip GB203; brand Gigabyte; part number GV-N5080AORUS-M-16GD; memory size 16GB GDDR7; memory bus 256-bit. Manufacturer part number GV-N5080AORUS-M-16GD. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.
Is the Gigabyte AORUS GeForce RTX 5080 MASTER 16GB GDDR7 compatible with my infrastructure?
The Gigabyte AORUS GeForce RTX 5080 MASTER 16GB GDDR7 requires a PCIe Gen4 or Gen5 x16 slot, server power adequate for the card's TDP, and CUDA/ROCm driver support in your hypervisor or bare-metal OS. Sales engineering will confirm chassis fit (1U/2U/4U), PCIe lane count, and PSU headroom before quoting.