WestNet AI inference and workstation graphics card - NVIDIA Blackwell GeForce RTX 5060 Ti 16GB GDDR7 OC, model DUAL-RTX5060TI-O16G, black.

WHY THIS CARD

AI labs, studios and small inference racks that run local LLMs need the model sitting in GPU memory, not a round trip to a rented cloud GPU. This card puts 16GB of GDDR7 and 759 AI TOPS behind a single PCIe slot, so quantized 7B and 14B models, embeddings and a RAG index can stay resident in VRAM.

PERFORMANCE

• GPU: NVIDIA Blackwell, 4,608 CUDA cores, 759 AI TOPS (ASUS spec sheet for this board)
• Memory: 16GB GDDR7 at 28 Gbps, 128-bit bus, 448 GB/s bandwidth
• Clocks: 2,602 MHz boost, 2,632 MHz in OC mode
• Interface: PCIe 5.0 x16, 2.5-slot, 229 x 120 x 50 mm (9.02 x 4.72 x 1.97 in)
• Power: 1x 8-pin PCIe connector, 180W class board, 550W PSU recommended
• Display: 1x HDMI 2.1b and 3x DisplayPort 2.1b, up to 4 displays at 7680 x 4320
• Cooling: dual Axial-tech fans, dual ball bearings, 0dB fan stop, vented metal backplate, dual BIOS (Performance / Quiet)
• Colour: black shroud with silver accents
• Warranty: 3 year limited manufacturer warranty (per ASUS for model DUAL-RTX5060TI-O16G)

WHAT 16GB ACTUALLY BUYS YOU

16GB is the practical single-card size for quantized 7B and 14B parameter models, for embedding models, and for a small RAG index sitting next to a chat model. This is a standalone 16GB inference card with no NVLink, so it does not pool memory with other cards: four of them give you four independent nodes, not one combined 64GB pool.

IN THE BOX

One WestNet GeForce RTX 5060 Ti 16GB GDDR7 graphics card, model DUAL-RTX5060TI-O16G, black. Condition: New. Brand of record: WestNet.