MSI GeForce RTX 5080 VENTUS 3X OC 16G

The MSI GeForce RTX 5080 VENTUS 3X OC 16G is built on NVIDIA's Blackwell architecture, featuring the GB203 GPU with 10,752 CUDA cores and 16 GB of GDDR7 memory across a 256-bit memory interface. The VENTUS 3X OC configuration ships with a factory overclocked boost clock and a triple-fan cooling solution designed to maintain sustained performance under extended computational loads, making it well suited for professional workstations operating in thermally demanding environments.

The card supports NVIDIA's fourth-generation Tensor Cores and fourth-generation RT Cores, enabling high-throughput AI inference acceleration alongside real-time ray tracing capabilities. With PCIe 5.0 x16 connectivity and support for DisplayPort 2.1 and HDMI 2.1b outputs, the RTX 5080 VENTUS 3X OC integrates cleanly into modern enterprise workstation platforms. The 16 GB GDDR7 framebuffer provides sufficient capacity for large AI model layers, high-resolution simulation datasets, and multi-display professional visualization workflows.

The VENTUS 3X thermal solution employs three 90 mm TORX Fan 5.0 fans with a shared heatsink and composite heat pipes to deliver efficient heat dissipation across the full GPU die and memory subsystem. MSI's Zero Frozr technology halts fan operation under light loads, reducing acoustic output in open-plan office environments. The board draws power via a 16-pin (12V-2x6) connector and is rated at a 360 W TDP, requiring a high-output ATX power supply appropriate for enterprise workstation configurations.

Ideal for

• AI model inference and fine-tuning on large language and multimodal models leveraging fourth-generation Tensor Cores and 16 GB GDDR7 memory
• Scientific and engineering simulation visualization including CFD, FEA post-processing, and molecular dynamics rendering in professional workstation environments
• Real-time ray-traced architectural and product visualization workflows using NVIDIA RTX technology with DCC application support
• Multi-display trading floor or financial analytics workstations requiring high-bandwidth GPU compute alongside up to four simultaneous display outputs
• Video production and transcoding pipelines utilizing NVIDIA NVENC and NVDEC hardware encode/decode engines for accelerated media processing
• Machine learning dataset preprocessing and GPU-accelerated data analytics using CUDA-based frameworks in on-premises workstation clusters

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.