Brand: ASUS | Category: GPUs
SKU: PRIME-RTX5060-O8G | Part #: PRIME-RTX5060-O8G | MPN: PRIME-RTX5060-O8G
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The ASUS Prime GeForce RTX 5060 OC 8GB GDDR7 (part number PRIME-RTX5060-O8G) arrives with two critical constraints that determine deployment feasibility: it requires a PCIe Gen5 x8 interface and draws 145W at peak load. These specifications are not negotiable considerations—they are the first questions an infrastructure team must answer before purchase. If your existing server chassis cannot accommodate a Gen5 slot or your power supply lacks headroom above 145W, this card will not integrate into your environment. For operations teams provisioning mid-range inference workloads, light machine learning pipelines, or general-purpose compute acceleration across distributed edge nodes, these power and interface requirements represent a manageable footprint that fits cleanly into standard enterprise hardware configurations.
Built on NVIDIA's Blackwell architecture and powered by the GB206 GPU chip, the ASUS Prime RTX 5060 OC delivers 3,840 CUDA cores and 614 AI TOPS of peak performance—a capability set designed for environments where full H100 or L40S deployments are overprovisioned. The 8GB GDDR7 memory paired with a 128-bit bus width supports batch inference, small-scale fine-tuning tasks, and tensor operations without the cost and thermal overhead of larger professional-grade accelerators. ASUS has binned this silicon for the Prime OC variant, which means the factory overclocking profile pushes the GPU to 2,623 MHz—a modest but measurable uplift over reference clocks that extracts additional throughput from the same TDP envelope. This positioning appeals directly to AI infrastructure teams and systems architects evaluating cost-per-TFLOPS in scenarios where latency tolerance permits heterogeneous acceleration across multiple smaller GPUs rather than consolidation onto a single monolithic card.
Connectivity on the PRIME-RTX5060-O8G reflects a hybrid approach: one HDMI 2.1b port and three DisplayPort 2.1b outputs provide flexible display routing for monitoring and visualization workloads, though enterprise deployments typically run this card in headless configurations within dense rack enclosures. The PCIe Gen5 x8 interface offers sufficient bandwidth for most inference and training workloads; full x16 connectivity delivers marginal performance gains in this power class, and the x8 constraint keeps the card electrically compatible with blade servers and multi-GPU configurations that reserve full x16 lanes for higher-tier accelerators. The 30 RT cores and 120 Tensor cores round out the execution hierarchy, enabling ray-traced rendering and matrix operations without branching into the professional Ampere or Ada lineups. Storage architects and network engineers integrating heterogeneous GPU clusters will find the ASUS Prime RTX 5060 OC a practical fit for tiered acceleration strategies where not every node demands identical GPU density.
ASUS has engineered the Prime series for reliability in continuous-duty environments rather than gaming or consumer segments. The cooling design, PCB layout, and capacitor selection reflect enterprise expectations: the card is rated for 24/7 operation, long supply availability, and RMA processes aligned with data-centre schedules. This matters when you are provisioning production infrastructure across GCC data centres or multi-region deployments—a well-supported SKU with established vendor relationships reduces operational friction. The PRIME-RTX5060-O8G occupies a distinct segment: too constrained for large language model serving, but well-suited for recommendation systems, computer vision pipelines, fraud detection models, and edge inference clusters where 8GB of GDDR7 and moderate power draw align with operational budgets and facility constraints. Network operations teams managing heterogeneous infrastructure often deploy these cards in pairs or fours across commodity x86 nodes, achieving better utilization rates than overprovisioned single-GPU systems.
Omnixon Global stocks the ASUS Prime GeForce RTX 5060 OC 8GB GDDR7 as part of our enterprise GPU inventory serving data centres, AI labs, and system integrators across the UAE, GCC, and broader Asia-Pacific corridor. We maintain direct relationships with ASUS distribution channels and hold certified inventory of reference and OEM variants. For architecture reviews, bulk configuration support, or deployment planning around the PRIME-RTX5060-O8G, submit an RFQ through our technical sales team and reference the part number—we will route your inquiry to the appropriate specialist and provide technical datasheets, compatibility matrices, and lead-time confirmation for your project timeline.
| Brand | ASUS |
| Category | GPUs |
| SKU | PRIME-RTX5060-O8G |
| Part Number | PRIME-RTX5060-O8G |
| Condition | New |
| Capacity | 8GB |
| Interface | PCIe 5.0 x8 |
| GPU Model | RTX 5060 |
| GPU Chip | GB206 |
| Architecture | Blackwell |
| Max Memory | 8GB GDDR7 |
| Memory Bus | 128-bit |
| CUDA Cores | 3840 |
| RT Cores | 30 |
| Tensor Cores | 120 |
| Max Frequency | 2623 MHz |
| TDP | 145W |
| GPU Interface | PCIe Gen5 x8 |
| Display Outputs | 1x HDMI 2.1b, 3x DP 2.1b |
| AI Performance | 614 AI TOPS |
The ASUS Prime GeForce RTX 5060 OC 8GB 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.
Key specifications for the ASUS Prime GeForce RTX 5060 OC 8GB GDDR7: new condition; gpu model RTX 5060; gpu chip GB206; architecture Blackwell; brand ASUS; part number PRIME-RTX5060-O8G; memory size 8GB GDDR7. Manufacturer part number PRIME-RTX5060-O8G. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.
The ASUS Prime GeForce RTX 5060 OC 8GB 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.