Technical Snapshot

The MSI GeForce RTX 5060 Ti VENTUS 2X OC 16GB White is a gaming desktop graphics card built on the NVIDIA Blackwell architecture (GB206 GPU). It delivers 4,608 CUDA cores, 16 GB GDDR7 memory, on a 128-bit bus, boost clock of 2,617 MHz. The card connects via PCIe 5.0 x8 and draws 180W TDP, requiring a 550W minimum power supply. Part of the MSI VENTUS 2X product line, this card targets 4K/8K gaming, AI/ML inference, and professional rendering.

Use Case
4K/8K gaming, AI/ML inference, real-time ray tracing, 3D rendering, content creation
Compatibility
Requires PCIe x16 slot, 550W PSU, adequate case clearance
Category
Desktop Graphics Card — GeForce RTX 5060 Ti (Blackwell)
MSI GeForce RTX 5060 Ti VENTUS 2X OC 16GB White
MSI GPU
MSI VENTUS 2X

GeForce RTX 5060 Ti VENTUS 2X OC 16GB White

Blackwell · GB206 · 4,608 CUDA Cores · 16 GB GDDR7 · PCIe 5.0 x8

Total number of CUDA parallel processing cores. Higher count enables faster rendering, AI inference, and compute workloads.
CUDA Cores 4,608
Video memory capacity and type. More VRAM allows higher-resolution textures, larger AI models, and multi-monitor setups.
VRAM 16 GB GDDR7
Maximum GPU frequency under load. Higher boost clocks improve frame rates and compute throughput.
Boost Clock 2,617 MHz
Total board power consumption. Ensure your PSU has adequate wattage for stable operation.
TDP 180W
MPNV535-002R
EAN4711377334501
CategoryGraphics Cards
Contact for Price
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GPU Core & Memory

GPU Chip NVIDIA GB206
Architecture Blackwell
CUDA Cores 4,608
Base Clock 2,407 MHz
Boost Clock 2,617 MHz
VRAM 16 GB GDDR7
Memory Bus 128-bit
PCIe Interface PCIe 5.0 x8
TDP 180W
Recommended PSU 550W
Card Length 243 mm
Cooling Dual fan
Display Outputs 3x DP 2.1, 1x HDMI 2.1

Full Specifications

Data sourced from MSI product specifications and NVIDIA reference data
GPU
GPU ChipNVIDIA GB206
ArchitectureBlackwell
CUDA Cores4,608
Base Clock2,407 MHz
Boost Clock2,617 MHz
GPU VendorNVIDIA
Memory
VRAM16 GB GDDR7
Memory Bus128-bit
Interface & Power
PCIe InterfacePCIe 5.0 x8
TDP180W
Recommended PSU550W
Card Design
Card Length243 mm
Slot Width2-slot
CoolingDual fan
Display Outputs3x DP 2.1, 1x HDMI 2.1
Product
BrandMSI
Brand SeriesVENTUS 2X
GPU SeriesGeForce RTX 5060 Ti
SegmentGaming
MPNV535-002R
EAN4711377334501
Physical
Weight1.50 kg (estimated)
Package Dimensions31.0 x 14.0 x 5.5 cm (estimated)

Support & Downloads

NVIDIA GeForce Game Ready Driver (Latest)Windows 10/11 64-bit
NVIDIA Drivers →
MSI GeForce RTX 5060 Ti VENTUS 2X OC 16GB White User ManualPDF · Installation guide and specifications
MSI Support →
← Back to GPU Catalog

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Frequently Asked Questions

What motherboards are compatible with the RTX 5060 Ti VENTUS 2X OC 16GB White?

The MSI GeForce RTX 5060 Ti VENTUS 2X OC 16GB White uses a PCIe 5.0 x8 interface and is compatible with any motherboard that has a PCIe x16 slot. This includes AMD AM5 and AM4 motherboards as well as Intel LGA 1851 and LGA 1700 boards. PCIe is backward-compatible, so older PCIe 4.0 slots will work at reduced bandwidth.

What power supply is recommended for the RTX 5060 Ti VENTUS 2X OC 16GB White?

A minimum 550W power supply is recommended for the MSI GeForce RTX 5060 Ti VENTUS 2X OC 16GB White. The card has a TDP of 180W, so adequate PSU headroom is critical for stable operation under peak load, especially when paired with a high-end CPU.

Will the RTX 5060 Ti VENTUS 2X OC 16GB White fit in my case?

The MSI GeForce RTX 5060 Ti VENTUS 2X OC 16GB White has a card length of 243 mm. Verify your case supports GPU lengths of at least 243 mm. Also ensure sufficient PCIe slot clearance for the card's width and adequate airflow around the GPU.

How much VRAM does the RTX 5060 Ti VENTUS 2X OC 16GB White have?

The MSI GeForce RTX 5060 Ti VENTUS 2X OC 16GB White features 16 GB GDDR7 on a 128-bit bus. This is suitable for 4K/8K gaming, large AI/ML models, and professional rendering workloads.

Can the RTX 5060 Ti VENTUS 2X OC 16GB White be used for AI and machine learning?

Yes. The MSI GeForce RTX 5060 Ti VENTUS 2X OC 16GB White is built on NVIDIA's Blackwell architecture with 4,608 CUDA cores and 16 GB VRAM, making it capable of AI inference and training workloads. It supports CUDA, Tensor Cores, and NVIDIA's AI frameworks. For dedicated enterprise AI, consider NVIDIA's professional-grade GPUs.

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