GeForce RTX 4090 D
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How it stacks up to the flagship
Each metric is shown as a percentage of the GeForce RTX 5090 D, the strongest card we track.
Estimated benchmark results
Each result is shown as a share of the RTX 5090 D's score in the same test.
Performance breakdown
FPS Across Resolutions
What Owners Say
Owners love the raw gaming speed and how it crushes 4K. The main complaints are its huge size and the high power draw that throws off a lot of heat.
- Runs big games at max settings
- Stays cool under heavy loads
- Handles 4K video editing smoothly
- Powers ray tracing with no lag
- Needs a very strong power supply
- Crippled AI and compute performance
- Price still very high for what it is
Supported technologies
Full specifications
- Architecture
- Ada Lovelace
- Process node
- 5 nm
- Transistors
- 76.3 B
- SM Count
- 114
- Release date
- 2023
- Launch price
- $1599
- CUDA Cores
- 14,592
- RT Cores
- 114
- Tensor Cores
- 456
- TMUs
- 456
- ROPs
- 176
- L2 cache
- 72 MB
- Size
- 24 GB
- Type
- GDDR6X
- Bus width
- 384-bit
- Bandwidth
- 1008 GB/s
- Memory clock
- 1313 MHz
- Base clock
- 2280 MHz
- Boost clock
- 2520 MHz
- FP32 (float)
- 73.54 TFLOPS
- FP16 (half)
- 73.54 TFLOPS
- Pixel rate
- 444 GPixel/s
- Texture rate
- 1149 GTexel/s
- TDP
- 425W
- Suggested PSU
- 800W
- Power connectors
- 1x 16-pin
- Bus interface
- PCIe 4.0 x16
- Length
- 304 mm
- Slot width
- 3-slot
- Max resolution
- 7680×4320
- Outputs
- 1x HDMI 2.1, 3x DisplayPort 1.4a
API and SDK support
- DirectX
- 12 Ultimate (12_2)
- Shader Model
- 6.7
- OpenGL
- 4.6
- OpenCL
- 3.0
- Vulkan
- 1.3
- CUDA
- 8.9
Our verdict on the RTX 4090 D
This is a slightly neutered flagship chip that trades a bit of performance for legal compliance with no major real-world trade-offs.
Get it if you need the absolute fastest card for 4K gaming or pro creative work and have a massive case and power supply. Skip it if you game at lower resolutions or want something that fits a standard build and doesn't need a fire extinguisher nearby.
Buy it if…
- You edit 8K video and need maximum VRAM.
- You run massive AI models locally without cloud services.
- You want the absolute fastest GPU for high-res gaming.
Its place in the overall top
12 votes