Technical Snapshot

The Gigabyte GeForce RTX 5070 Ti AERO 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 2,452 MHz. The card connects via PCIe 5.0 x16 and draws 300W TDP, requiring a 750W minimum power supply. Part of the Gigabyte AERO 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)
Gigabyte GeForce RTX 5070 Ti AERO OC 16GB White
Gigabyte GPU
Gigabyte AERO

GeForce RTX 5070 Ti AERO 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 2,452 MHz
Total board power consumption. Ensure your PSU has adequate wattage for stable operation.
TDP 300W
MPNGV-N507TAERO OC-16GD
EAN889523048542
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 2,452 MHz
VRAM 16 GB GDDR7
Memory Bus 256-bit
PCIe Interface PCIe 5.0 x16
TDP 300W
Recommended PSU 750W
Cooling Triple fan

Full Specifications

Data sourced from Gigabyte product specifications and NVIDIA reference data
GPU
GPU ChipNVIDIA GB203
ArchitectureBlackwell
CUDA Cores8,960
Base Clock2,300 MHz
Boost Clock2,452 MHz
GPU VendorNVIDIA
Memory
VRAM16 GB GDDR7
Memory Bus256-bit
Interface & Power
PCIe InterfacePCIe 5.0 x16
TDP300W
Recommended PSU750W
Card Design
CoolingTriple fan
Product
BrandGigabyte
Brand SeriesAERO
GPU SeriesGeForce RTX 5070 Ti
SegmentGaming
MPNGV-N507TAERO OC-16GD
EAN889523048542
Physical
Weight3130.00 kg
Package Dimensions43.8 x 27.0 x 27.1 cm

Support & Downloads

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

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Frequently Asked Questions

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

The Gigabyte GeForce RTX 5070 Ti AERO 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 AERO OC 16GB White?

A minimum 750W power supply is recommended for the Gigabyte GeForce RTX 5070 Ti AERO 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 AERO OC 16GB White fit in my case?

Based on package dimensions, the Gigabyte GeForce RTX 5070 Ti AERO OC 16GB White requires clearance of approximately 43.8 cm (438 mm). Verify your case's maximum GPU length specification before purchasing. Also ensure sufficient PCIe slot clearance and adequate airflow.

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

The Gigabyte GeForce RTX 5070 Ti AERO 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 AERO OC 16GB White be used for AI and machine learning?

Yes. The Gigabyte GeForce RTX 5070 Ti AERO 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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