Technical Snapshot

The MSI GeForce RTX 5070 Ti GAMING TRIO OC 16GB White is a gaming desktop graphics card built on the NVIDIA Blackwell architecture (GB203 GPU). It delivers 8,960 CUDA cores, 16 GB GDDR7 memory, on a 256-bit bus, boost clock of 2,527 MHz. The card connects via PCIe 5.0 x16 and draws 300W TDP, requiring a 750W minimum power supply. Part of the MSI GAMING TRIO 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, 750W PSU, adequate case clearance
Category
Desktop Graphics Card — GeForce RTX 5070 Ti (Blackwell)
MSI GAMING TRIO

GeForce RTX 5070 Ti GAMING TRIO OC 16GB White

Blackwell · GB203 · 8,960 CUDA Cores · 16 GB GDDR7 · PCIe 5.0 x16

Total number of CUDA parallel processing cores. Higher count enables faster rendering, AI inference, and compute workloads.
CUDA Cores 8,960
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 2,527 MHz
Total board power consumption. Ensure your PSU has adequate wattage for stable operation.
TDP 300W
MPNV531-057R
EAN4711377301060
CategoryGraphics Cards
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GPU Core & Memory

GPU Chip NVIDIA GB203
Architecture Blackwell
CUDA Cores 8,960
Base Clock 2,300 MHz
Boost Clock 2,527 MHz
VRAM 16 GB GDDR7
Memory Bus 256-bit
PCIe Interface PCIe 5.0 x16
TDP 300W
Recommended PSU 750W
Card Length 325 mm
Cooling Triple 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 GB203
ArchitectureBlackwell
CUDA Cores8,960
Base Clock2,300 MHz
Boost Clock2,527 MHz
GPU VendorNVIDIA
Memory
VRAM16 GB GDDR7
Memory Bus256-bit
Interface & Power
PCIe InterfacePCIe 5.0 x16
TDP300W
Recommended PSU750W
Card Design
Card Length325 mm
Slot Width3-slot
CoolingTriple fan
Display Outputs3x DP 2.1, 1x HDMI 2.1
Product
BrandMSI
Brand SeriesGAMING TRIO
GPU SeriesGeForce RTX 5070 Ti
SegmentGaming
MPNV531-057R
EAN4711377301060
Physical
Weight2140.00 kg
Package Dimensions41.9 x 25.7 x 25.8 cm

Support & Downloads

NVIDIA GeForce Game Ready Driver (Latest)Windows 10/11 64-bit
NVIDIA Drivers →
MSI GeForce RTX 5070 Ti GAMING TRIO OC 16GB White User ManualPDF · Installation guide and specifications
MSI Support →
← Back to GPU Catalog

Frequently Asked Questions

What motherboards are compatible with the RTX 5070 Ti GAMING TRIO OC 16GB White?

The MSI GeForce RTX 5070 Ti GAMING TRIO OC 16GB White uses a PCIe 5.0 x16 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 5070 Ti GAMING TRIO OC 16GB White?

A minimum 750W power supply is recommended for the MSI GeForce RTX 5070 Ti GAMING TRIO OC 16GB White. The card has a TDP of 300W, so adequate PSU headroom is critical for stable operation under peak load, especially when paired with a high-end CPU.

Will the RTX 5070 Ti GAMING TRIO OC 16GB White fit in my case?

The MSI GeForce RTX 5070 Ti GAMING TRIO OC 16GB White has a card length of 325 mm. Verify your case supports GPU lengths of at least 325 mm. Also ensure sufficient PCIe slot clearance for the card's width and adequate airflow around the GPU.

How much VRAM does the RTX 5070 Ti GAMING TRIO OC 16GB White have?

The MSI GeForce RTX 5070 Ti GAMING TRIO OC 16GB White features 16 GB GDDR7 on a 256-bit bus. This is suitable for 4K/8K gaming, large AI/ML models, and professional rendering workloads.

Can the RTX 5070 Ti GAMING TRIO OC 16GB White be used for AI and machine learning?

Yes. The MSI GeForce RTX 5070 Ti GAMING TRIO OC 16GB White is built on NVIDIA's Blackwell architecture with 8,960 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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