16 GB • Blackwell • 2572 MHz • 180 W
A summary of NVIDIA's official product description.
Announced April 6, 2025 and on sale April 16, the GeForce RTX 5060 Ti pairs the Blackwell GB206 chip with GDDR7 memory in 8GB and 16GB configurations, priced at $379 and $429. NVIDIA frames it around bringing next-generation performance and AI-enhanced visuals to a lower price tier than the RTX 50 series had reached before.
Manufacturer's official processing unit and architecture information.
Blackwell — Architecture · 4608 — Shading Unit · 36 RT — Ray Tracing Core · 144 Tensor — AI core
Values decisive at high resolutions and high textures.
16 GB — GDDR7 · 128 bit — Memory bus · 448 GB/s — Memory bandwidth
Official values determining power supply and case selection.
180 W — Card Power Consumption · 550 W — Recommended Power Supply · 8-pin — Power Connector
A usage guide built from the specs and the editors' tags; not a test result.
For gaming; tagged from the display's refresh rate and the chip's class. We have not measured frame rates or heat ourselves.
Good fitAn editor's tag for hardware that is well priced for what it offers. We do not track current prices; check the price before you buy.
Good fitThe Kacbu editors' assessment of the specifications the maker publishes. We do not test devices ourselves, so nothing here is a measured result. Anything taken from an independent review is shown with its publication and date in the Press section.
Instead of tracking today's retail price, Kacbu keeps the product's official launch information as a reference.
The manufacturer's official announcement date.
The start of the initial sales period.
NVIDIA is headquartered in the US and designs the GPU there; it does not fabricate it itself — the GB206 die is made at TSMC's fabs in Taiwan. Card assembly varies by board partner.
Click a linked value to see other products that share that same spec, and leave a comment on that spec.
What the numbers on the spec sheet actually mean in day-to-day use.
Other products in the same category.
Whether a model runs on your machine is decided first by the graphics card's memory: the model file has to fit in VRAM with room left for the context window and the runtime. The states below are computed from memory alone; software support (CUDA, ROCm, Vulkan) is a separate matter.
Largest model that runs comfortably: Qwen3.5 9B
Rule: 1.5× the requirement in memory is Comfortable, 1.15× Runs, 0.6× Limited; the requirement is the default package size, or the maker's stated minimum where there is one (a stated minimum counts as fitting at exactly that figure). Package sizes are the Ollama library's, minimums the maker's own statement; read on 2026-09-11. Sources: ollama.com/library/qwen3.5, ollama.com/library/gpt-oss, openai.com/index/introducing-gpt-oss