Technical Snapshot

The Gigabyte GeForce RTX 4090 OC 24GB is a gaming desktop graphics card built on the NVIDIA Ada Lovelace architecture (AD102 GPU). It delivers 16,384 CUDA cores, 24 GB GDDR6X memory, on a 384-bit bus, boost clock of 2,565 MHz. The card connects via PCIe 4.0 x16 and draws 450W TDP, requiring a 850W minimum power supply. Part of the Gigabyte OC 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, 850W PSU, adequate case clearance
Category
Desktop Graphics Card — GeForce RTX 4090 (Ada Lovelace)
Gigabyte GeForce RTX 4090 OC 24GB
Gigabyte GPU
Gigabyte OC

GeForce RTX 4090 OC 24GB

Ada Lovelace · AD102 · 16,384 CUDA Cores · 24 GB GDDR6X · PCIe 4.0 x16

Total number of CUDA parallel processing cores. Higher count enables faster rendering, AI inference, and compute workloads.
CUDA Cores 16,384
Video memory capacity and type. More VRAM allows higher-resolution textures, larger AI models, and multi-monitor setups.
VRAM 24 GB GDDR6X
Maximum GPU frequency under load. Higher boost clocks improve frame rates and compute throughput.
Boost Clock 2,565 MHz
Total board power consumption. Ensure your PSU has adequate wattage for stable operation.
TDP 450W
MPNGV-N4090AERO OC-24GD
EAN889523036624
CategoryGraphics Cards
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GPU Core & Memory

GPU Chip NVIDIA AD102
Architecture Ada Lovelace
CUDA Cores 16,384
Base Clock 2,235 MHz
Boost Clock 2,565 MHz
VRAM 24 GB GDDR6X
Memory Bus 384-bit
PCIe Interface PCIe 4.0 x16
TDP 450W
Recommended PSU 850W
Cooling Dual fan
Display Outputs 3x DP 1.4a, 1x HDMI 2.1

Full Specifications

Data sourced from Gigabyte product specifications and NVIDIA reference data
GPU
GPU ChipNVIDIA AD102
ArchitectureAda Lovelace
CUDA Cores16,384
Base Clock2,235 MHz
Boost Clock2,565 MHz
GPU VendorNVIDIA
Memory
VRAM24 GB GDDR6X
Memory Bus384-bit
Interface & Power
PCIe InterfacePCIe 4.0 x16
TDP450W
Recommended PSU850W
Card Design
Slot Width3-slot
CoolingDual fan
Display Outputs3x DP 1.4a, 1x HDMI 2.1
Product
BrandGigabyte
Brand SeriesOC
GPU SeriesGeForce RTX 4090
SegmentGaming
MPNGV-N4090AERO OC-24GD
EAN889523036624
Physical
Weight3.31 kg
Package Dimensions45.212 x 27.177999999999997 x 10.921999999999999 cm

Support & Downloads

NVIDIA GeForce Game Ready Driver (Latest)Windows 10/11 64-bit
NVIDIA Drivers →
Gigabyte GeForce RTX 4090 OC 24GB 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 4090 OC 24GB?

The Gigabyte GeForce RTX 4090 OC 24GB uses a PCIe 4.0 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 3.0 slots will work at reduced bandwidth.

What power supply is recommended for the RTX 4090 OC 24GB?

A minimum 850W power supply is recommended for the Gigabyte GeForce RTX 4090 OC 24GB. The card has a TDP of 450W, so adequate PSU headroom is critical for stable operation under peak load, especially when paired with a high-end CPU.

Will the RTX 4090 OC 24GB fit in my case?

Based on package dimensions, the Gigabyte GeForce RTX 4090 OC 24GB requires clearance of approximately 45.212 cm (452 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 4090 OC 24GB have?

The Gigabyte GeForce RTX 4090 OC 24GB features 24 GB GDDR6X on a 384-bit bus. This is suitable for 4K/8K gaming, large AI/ML models, and professional rendering workloads.

Can the RTX 4090 OC 24GB be used for AI and machine learning?

Yes. The Gigabyte GeForce RTX 4090 OC 24GB is built on NVIDIA's Ada Lovelace architecture with 16,384 CUDA cores and 24 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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