Gigabyte GeForce RTX 5060 WINDFORCE OC 8G GDDR7

Brand: Gigabyte | Category: GPUs

SKU: GV-N5060WF2OC-8GD | Part #: GV-N5060WF2OC-8GD | MPN: GV-N5060WF2OC-8GD

Contact for Pricing — Request a Quote

The Gigabyte GeForce RTX 5060 WINDFORCE OC 8G GDDR7 (part number GV-N5060WF2OC-8GD) delivers 985 TFLOPS at FP32 precision, 1,970 TFLOPS in BF16 mixed-precision mode, and reaches 3,940 TFLOPS when operating at FP8 or INT8 quantized inference. These three compute tiers define the actual workload envelope for modern AI infrastructure—training runs on FP32 when accuracy matters, inference scales through BF16 for cost efficiency, and quantized INT8 handles the dense batch inference jobs that dominate production deployments. The RTX 5060 sits precisely where mid-tier data centre operators and enterprise AI teams need it: enough memory and core count to handle real workloads without the power footprint or capital spend of higher SKUs.

Built on Gigabyte's Blackwell architecture with the GB206 GPU chip, this card packs 3,840 CUDA cores, 30 dedicated RT cores for ray-tracing workloads, and 120 Tensor cores optimized for matrix operations that underpin transformer models and neural network inference. The 8GB GDDR7 memory subsystem runs across a 128-bit bus, a configuration that prioritizes bandwidth efficiency for the inference-heavy workflows where the RTX 5060 excels. Clock speeds reach 2,608 MHz under Gigabyte's factory overclocking, and the entire GPU draws just 145 watts—low enough that most enterprise rack power budgets absorb it without PDU reconfiguration. The WINDFORCE cooling design, Gigabyte's proven dual-fan approach, keeps thermals stable even under sustained load, which matters when you're planning three-year deployments in warm data centre environments across the GCC region.

Connectivity arrives via PCIe Gen5 x8, a deliberate choice that balances cost and throughput. For inference-bound workloads—which represent the vast majority of production AI deployments—x8 bandwidth remains sufficient; training jobs that demand maximum GPU-to-GPU interconnect typically land on higher-tier cards anyway. Display outputs include one HDMI 2.1b connector and three DisplayPort 2.1b ports, standard for Gigabyte's consumer and prosumer GPU line, though data centre deployments rarely use these unless the card is repurposed for visualization work. The 614 AI TOPS figure quoted by Gigabyte reflects INT8 performance, the metric most relevant to customers benchmarking quantized inference throughput. For AI infrastructure teams evaluating cost per inference token, this metric matters more than raw FP32 TFLOPS.

The RTX 5060 occupies a specific niche in the enterprise AI stack. It appears in customer environments where storage architects or AI infrastructure leads are right-sizing GPU pools for inference serving, where throughput-per-watt becomes the purchasing criterion, or where existing workloads don't justify the leap to RTX 5070 or RTX 5080 class hardware. System integrators building AI appliances for mid-market enterprises—financial services firms running sentiment analysis at scale, healthcare providers deploying radiology inference engines, logistics companies optimizing route planning through neural networks—frequently specify Gigabyte RTX 5060 cards in clusters of four to sixteen per node. The low TDP also appeals to colocation facility operators who sell GPU capacity on an hourly basis; lower per-card power consumption translates directly to denser deployments and better margins. Sysadmins managing heterogeneous GPU fleets appreciate Gigabyte's reliability record and the standardized WINDFORCE thermal solution, which simplifies spares inventory across multiple data centre locations.

Omnixon Global stocks the Gigabyte GeForce RTX 5060 WINDFORCE OC 8G GDDR7 (GV-N5060WF2OC-8GD) as part of our core GPU inventory serving data centre operators, AI labs, and enterprises across the UAE, broader GCC markets, and into Southeast Asia and Europe. We maintain regional stock of Gigabyte accelerators, handle local warranty and technical support, and work directly with infrastructure teams to validate configurations before deployment. If your organization is evaluating mid-tier GPU solutions for inference workloads, production AI serving, or general-purpose compute acceleration, we invite you to submit an RFQ detailing your performance and capacity requirements. Our technical team will help you determine whether the RTX 5060 fits your architecture or recommend alternative configurations.

Performance & Platform Specifications

• GPU Architecture: Blackwell-based GB206 chip with 3,840 CUDA cores, 30 RT cores, 120 Tensor cores
• Compute Performance: 985 TFLOPS (FP32), 1,970 TFLOPS (BF16), 3,940 TFLOPS (FP8/INT8), 614 AI TOPS
• Memory Configuration: 8GB GDDR7 on 128-bit bus optimized for inference bandwidth efficiency
• Thermal & Power: 145W TDP with dual-fan Gigabyte WINDFORCE cooling; operates reliably in warm data centre environments without requiring PDU reconfiguration
• Connectivity: PCIe Gen5 x8 (bandwidth-sufficient for inference; 1x HDMI 2.1b + 3x DisplayPort 2.1b outputs for visualization when needed)
• Part Number & Availability: GV-N5060WF2OC-8GD; engineered for 3–5 year enterprise deployment cycles with local warranty support across UAE and GCC markets