Technical Snapshot

The Inno3D GeForce RTX 5090 iChill X3 OC 32GB is a gaming desktop graphics card built on the NVIDIA Blackwell architecture (GB202 GPU). It delivers 21,760 CUDA cores, 32 GB GDDR7 memory, on a 512-bit bus, boost clock of 2,452 MHz. The card connects via PCIe 5.0 x16 and draws 575W TDP, requiring a 1,000W minimum power supply. Part of the Inno3D iChill X3 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, 1,000W PSU, adequate case clearance
Category
Desktop Graphics Card — GeForce RTX 5090 (Blackwell)
Inno3D Image not available
Inno3D GPU
Inno3D iChill X3

GeForce RTX 5090 iChill X3 OC 32GB

Blackwell · GB202 · 21,760 CUDA Cores · 32 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 21,760
Video memory capacity and type. More VRAM allows higher-resolution textures, larger AI models, and multi-monitor setups.
VRAM 32 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 575W
MPNC50903-32D7X-175967H
EAN8886307700117
CategoryGraphics Cards
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GPU Core & Memory

GPU Chip NVIDIA GB202
Architecture Blackwell
CUDA Cores 21,760
Base Clock 2,017 MHz
Boost Clock 2,452 MHz
VRAM 32 GB GDDR7
Memory Bus 512-bit
PCIe Interface PCIe 5.0 x16
TDP 575W
Recommended PSU 1,000W
Cooling Triple fan
Display Outputs 3x DP 2.1, 1x HDMI 2.1

Full Specifications

Data sourced from Inno3D product specifications and NVIDIA reference data
GPU
GPU ChipNVIDIA GB202
ArchitectureBlackwell
CUDA Cores21,760
Base Clock2,017 MHz
Boost Clock2,452 MHz
GPU VendorNVIDIA
Memory
VRAM32 GB GDDR7
Memory Bus512-bit
Interface & Power
PCIe InterfacePCIe 5.0 x16
TDP575W
Recommended PSU1,000W
Card Design
Slot Width3-slot
CoolingTriple fan
Display Outputs3x DP 2.1, 1x HDMI 2.1
Product
BrandInno3D
Brand SeriesiChill X3
GPU SeriesGeForce RTX 5090
SegmentGaming
MPNC50903-32D7X-175967H
EAN8886307700117
Physical
Weight3.26 kg
Package Dimensions41.6 x 23.4 x 11.4 cm

Support & Downloads

NVIDIA GeForce Game Ready Driver (Latest)Windows 10/11 64-bit
NVIDIA Drivers →
Inno3D GeForce RTX 5090 iChill X3 OC 32GB User ManualPDF · Installation guide and specifications
Inno3D Support →
← Back to GPU Catalog

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Frequently Asked Questions

What motherboards are compatible with the RTX 5090 iChill X3 OC 32GB?

The Inno3D GeForce RTX 5090 iChill X3 OC 32GB 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 5090 iChill X3 OC 32GB?

A minimum 1,000W power supply is recommended for the Inno3D GeForce RTX 5090 iChill X3 OC 32GB. The card has a TDP of 575W, so adequate PSU headroom is critical for stable operation under peak load, especially when paired with a high-end CPU.

Will the RTX 5090 iChill X3 OC 32GB fit in my case?

Based on package dimensions, the Inno3D GeForce RTX 5090 iChill X3 OC 32GB requires clearance of approximately 41.6 cm (416 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 5090 iChill X3 OC 32GB have?

The Inno3D GeForce RTX 5090 iChill X3 OC 32GB features 32 GB GDDR7 on a 512-bit bus. This is suitable for 4K/8K gaming, large AI/ML models, and professional rendering workloads.

Can the RTX 5090 iChill X3 OC 32GB be used for AI and machine learning?

Yes. The Inno3D GeForce RTX 5090 iChill X3 OC 32GB is built on NVIDIA's Blackwell architecture with 21,760 CUDA cores and 32 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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