ASUS PRIME-RTX5060-O8G the SFFReady ASUS Prime GeForce RTX 5060 8GB GDDR7 OC Edition Graphics Card
Factory-overclocked GeForce RTX 5060 graphics card built around NVIDIA's latest Ada-successor architecture, pairing 3,840 CUDA cores with 8GB of
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The ASUS DUAL-RTX5060-O8G is a factory-overclocked GeForce RTX 5060 graphics card built around NVIDIA's Blackwell architecture. With 3840 CUDA cores, 8GB of GDDR7 memory on a 128-bit bus, and a PCIe 5.0 x16 interface, it targets workstation deployments, AI-inferencing edge nodes, and multi-display surveillance operator consoles where compute throughput and display density both matter. At 14.49 × 8.68 × 2.68 inches and 2.44 lb, the DUAL-RTX5060-O8G (often searched as DUAL RTX5060 O8G) fits standard full-height ATX and E-ATX chassis without major clearance concerns.
The DUAL-RTX5060-O8G connects via PCIe 5.0 x16 and is backward compatible with PCIe 4.0 and 3.0 motherboards at reduced bandwidth — confirmed non-issue for this GPU's actual throughput demands. The card exposes both an Ethernet interface and the standard PCIe bus per the distribution data, suggesting platform-level connectivity flexibility. For security and surveillance deployments, the RTX 5060's NVDEC/NVENC hardware codec engines (NVIDIA standard on Blackwell) support hardware-accelerated H.265 and H.264 decode, offloading stream processing from the host CPU in multi-camera NVR or video analytics server builds. Pair this card with an NVR or analytics server targeting AI-based motion detection, license plate recognition, or crowd analytics to leverage the CUDA core count. For broader context, explore the full ASUS hardware catalog or review our graphics cards category for alternative configurations. If you are speccing a complete analytics workstation, our workstation components section covers compatible platforms. Buyers evaluating GPU-accelerated AI inference should also consult our AI compute hardware guide for platform pairing context.
Q: What is the boost clock speed on the DUAL-RTX5060-O8G in OC mode versus Gaming mode?
A: In OC mode the DUAL-RTX5060-O8G boosts to 2565 MHz. In Gaming mode it runs at 2535 MHz. Both are factory-set and pre-validated — no manual overclocking is required to reach these clocks.
Q: How many monitors can the DUAL-RTX5060-O8G drive simultaneously, and at what resolutions?
A: The card supports up to four displays simultaneously via its 1× HDMI 2.1b and 3× DisplayPort 2.1b outputs. Maximum resolution per output is 7680 × 4320 (8K), making it suitable for high-density 4K operator console builds.
Q: Is the DUAL-RTX5060-O8G 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 host slot's maximum supported bandwidth — bandwidth reduction at PCIe 4.0 does not create a practical bottleneck at this GPU performance tier.
Q: What memory type and bandwidth does the DUAL-RTX5060-O8G use?
A: The card uses 8GB of GDDR7 memory on a 128-bit bus at 28 Gbit/s per pin. This delivers approximately 224 GB/s of memory bandwidth — meaningful for multi-stream 4K video decode, AI inference, and compute workloads that stress VRAM throughput.
Q: Does the DUAL-RTX5060-O8G support DLSS 4?
A: Yes. As a Blackwell-generation RTX card, the DUAL-RTX5060-O8G supports DLSS 4, which includes AI-based upscaling and frame generation for compatible applications and workflows.
Q: What are the physical dimensions and how many PCIe slots does the DUAL-RTX5060-O8G occupy?
A: The card measures 14.49 × 8.68 × 2.68 inches (L × W × H) and weighs 2.44 lb. It occupies 2.5 PCIe slots. Verify GPU clearance in your chassis before ordering, particularly in short-depth rack workstations.

The DUAL-RTX5060-O8G is one of the more interesting GPU options I've seen land in the commercial compute space recently. The combination of 3840 CUDA cores, GDDR7 memory at 28 Gbit/s, and a factory-validated 2565 MHz OC boost clock puts it meaningfully ahead of prior-generation parts in raw parallel throughput per dollar — and that matters when you're running AI-based video analytics or multi-stream transcoding at the edge rather than discrete cloud inference.
Technical Highlights:
Deployment Considerations:
For an AI-accelerated video analytics server — the kind driving 16–32 camera streams through a deep learning motion or LPR engine — the DUAL-RTX5060-O8G sits at a practical sweet spot: enough VRAM and CUDA throughput to handle production analytics loads, PCIe 5.0 for forward platform compatibility, and a factory OC that removes the guesswork from performance tuning.
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