ASUS
SKU: PROART-RTX5070TI-O16G
Overview
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Overview
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The ASUS PROART-RTX5080-O16G is a factory-overclocked GeForce RTX 5080 graphics card built for workstation-class compute and high-resolution rendering workloads. With 10,752 CUDA cores, 16GB of GDDR7 memory on a 256-bit bus, and a PCIe 5.0 interface, this card is positioned for professionals who need GPU compute headroom alongside display fidelity — including AI inference at the edge, multi-stream video analytics, and 4K/8K media pipelines. The ProArt line targets creative and technical workstations where sustained throughput matters more than peak gaming frame rates.
At 15.94 × 9.17 × 3.48 inches and 4.50 lb, the PROART-RTX5080-O16G (often searched as PROART RTX5080 O16G) occupies a 2.5-slot profile — wide enough to house a full vapor chamber but narrow enough to clear most EATX and standard ATX workstation chassis without blocking adjacent PCIe slots. Verify your chassis clearance before ordering: at nearly 16 inches, this is a long card.
The PROART-RTX5080-O16G connects via PCIe 5.0 x16, backward-compatible with PCIe 4.0 and 3.0 hosts. The card exposes a USB interface and Ethernet interface per the distribution feed attributes, suggesting support for ASUS's GPU monitoring and firmware tools that operate over these buses on select ProArt models — consult ASUS documentation for your specific platform. Display outputs cover HDMI 2.1b (×1) and DisplayPort 2.1b (×2) plus USB-C, enabling four simultaneous displays at up to 8K resolution. For compute-only deployments (AI inference servers, headless render nodes), display output count is irrelevant — what matters is PCIe bandwidth and VRAM capacity, both of which this card addresses with PCIe 5.0 and 16GB GDDR7.
NVIDIA's CUDA platform is confirmed supported, enabling compatibility with CUDA-accelerated frameworks including TensorRT, cuDNN, and NVENC/NVDEC for hardware video encode/decode. Parallel processing technology (typically referring to AMD's competing compute APIs) is listed as not supported — expected for an NVIDIA card. Workloads targeting OpenCL or Vulkan compute are supported through NVIDIA's standard driver stack.
At 15.94 inches in length, 9.17 inches wide, and 3.48 inches tall (2.5 slots), confirm chassis compatibility before ordering. Weight is 4.50 lb — a GPU support bracket is strongly recommended for horizontal or inverted motherboard orientations to prevent PCIe slot stress over time.
Q: What is the difference between the 2700 MHz and 2730 MHz clock speeds listed for this card?
A: The PROART-RTX5080-O16G has two operating modes: Performance Mode at 2700 MHz boost and OC Mode at 2730 MHz boost. OC Mode is the factory-set default on ProArt OC Edition cards and is validated stable by ASUS at that frequency. The 30 MHz difference is modest in isolation, but the value is in factory validation — you get a confirmed stable overclock without manual tuning.
Q: Will the PROART-RTX5080-O16G fit in a standard ATX workstation case?
A: At 15.94 inches (approximately 405mm) in length and 2.5 slots wide, this card requires a full-tower or large mid-tower chassis with at least 406mm of GPU clearance. Most standard ATX mid-towers support 320–360mm. Verify your specific chassis maximum GPU length before purchasing.
Q: How many monitors can this card drive simultaneously?
A: The card supports up to 4 simultaneous displays across its three physical outputs (1× HDMI 2.1b, 2× DisplayPort 2.1b, and 1× USB-C). Maximum resolution per output is 7680×4320 (8K).
Q: Is this card suitable for AI inference and machine learning workloads?
A: Yes. The 10,752 CUDA cores, 16GB of GDDR7 memory, and confirmed CUDA support make this card a viable platform for AI inference using TensorRT and similar CUDA-accelerated frameworks. The 16GB GDDR7 frame buffer is sufficient for running mid-to-large language model inference at reduced precision or diffusion models at full resolution. For very large model training requiring multi-GPU NVLink configurations, note that NVLink support should be verified against ASUS's published specifications.
Q: What does the phase-change GPU thermal pad do differently from standard thermal paste?
A: A phase-change thermal pad is solid at room temperature and liquefies slightly at operating temperature, conforming tightly to the GPU die surface to eliminate micro air gaps. Unlike standard thermal paste that can dry out and degrade over years of operation, phase-change material maintains consistent thermal contact over the long term — relevant for 24/7 compute deployments where reapplying thermal compound would require disassembly.
Q: Is the PROART-RTX5080-O16G backward-compatible with PCIe 4.0 motherboards?
A: Yes. PCIe 5.0 is backward-compatible with PCIe 4.0 and PCIe 3.0 slots. The card will operate at the highest speed supported by the host slot. On a PCIe 4.0 × 16 slot, you will see roughly half the theoretical host bandwidth ceiling compared to PCIe 5.0, which is unlikely to be a bottleneck for most single-card workloads.

The PROART-RTX5080-O16G is one of the more interesting cards to specify for edge AI and video analytics workstations right now. The combination of 10,752 CUDA cores with 16GB of GDDR7 at 30 Gbps across a 256-bit bus means you have both the compute density and the memory bandwidth to run real-time multi-stream inference without the GPU becoming your bottleneck — which is where most analytics deployments actually hit their ceiling.
Technical Highlights:
Deployment Considerations:
For a professional workstation running sustained AI inference across multiple video streams — think a multi-camera analytics node feeding a VMS with GPU-accelerated object detection — the PROART-RTX5080-O16G's GDDR7 bandwidth and validated OC frequency make it a technically strong fit, provided your chassis can accommodate the 405mm card length and your PSU is sized to ASUS's confirmed TBP figure.
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