Technical Snapshot

The Palit GeForce RTX 5070 Ti GamingPro OC 16GB 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 2,497 MHz. The card connects via PCIe 5.0 x16 and draws 300W TDP, requiring a 750W minimum power supply. Part of the Palit GamingPro 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)
Palit Image not available
Palit GPU
Palit GamingPro

GeForce RTX 5070 Ti GamingPro OC 16GB

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 2,497 MHz
Total board power consumption. Ensure your PSU has adequate wattage for stable operation.
TDP 300W
MPNNE7507T019T2-GB2031U
EAN4710562245523
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 2,497 MHz
VRAM 16 GB GDDR7
Memory Bus 256-bit
PCIe Interface PCIe 5.0 x16
TDP 300W
Recommended PSU 750W
Cooling Dual fan
Display Outputs 3x DP 2.1, 1x HDMI 2.1

Full Specifications

Data sourced from Palit product specifications and NVIDIA reference data
GPU
GPU ChipNVIDIA GB203
ArchitectureBlackwell
CUDA Cores8,960
Base Clock2,300 MHz
Boost Clock2,497 MHz
GPU VendorNVIDIA
Memory
VRAM16 GB GDDR7
Memory Bus256-bit
Interface & Power
PCIe InterfacePCIe 5.0 x16
TDP300W
Recommended PSU750W
Card Design
Slot Width2.5-slot
CoolingDual fan
Display Outputs3x DP 2.1, 1x HDMI 2.1
Product
BrandPalit
Brand SeriesGamingPro
GPU SeriesGeForce RTX 5070 Ti
SegmentGaming
MPNNE7507T019T2-GB2031U
EAN4710562245523
Physical
Weight1.88 kg
Package Dimensions42.5 x 21.5 x 10.5 cm

Support & Downloads

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

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Frequently Asked Questions

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

The Palit GeForce RTX 5070 Ti GamingPro OC 16GB 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 GamingPro OC 16GB?

A minimum 750W power supply is recommended for the Palit GeForce RTX 5070 Ti GamingPro OC 16GB. 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 GamingPro OC 16GB fit in my case?

Based on package dimensions, the Palit GeForce RTX 5070 Ti GamingPro OC 16GB requires clearance of approximately 42.5 cm (425 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 GamingPro OC 16GB have?

The Palit GeForce RTX 5070 Ti GamingPro OC 16GB 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 GamingPro OC 16GB be used for AI and machine learning?

Yes. The Palit GeForce RTX 5070 Ti GamingPro OC 16GB 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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