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NVIDIA RTX 4090 vs NVIDIA RTX 5090 (Blackwell 消费级旗舰): Spec Comparison & Buyer's Guide

In AI infrastructure selection, NVIDIA RTX 4090 and NVIDIA RTX 5090 (Blackwell 消费级旗舰) are two accelerators frequently compared. This article contrasts them item by item — architecture, compute, memory, power, and release cadence — to help you quickly judge which fits training or inference workloads.

Spec Comparison Table​

VendorNVIDIA RTX 4090NVIDIA RTX 5090 (Blackwell 消费级旗舰)
VendorNVIDIANVIDIA
ArchitectureAda Lovelace AD102Blackwell (GB202)
ProcessTSMC 4NTSMC 4N
Release Date2022 92025-01-07
FP8 Compute2,642 TFLOPS838 TFLOPS
FP16 Compute—419 TFLOPS
FP32 Compute82.6 TFLOPS104.8 TFLOPS
INT8 Compute—1,676 TOPS
Memory Type——
Memory Capacity24 GB GDDR6X32 GB GDDR7
Memory Bandwidth1,008 GB/s1,792 GB/s
TDP Power450 W575 W

Key Differences​

  • FP8 compute: NVIDIA RTX 4090 leads with ~2,642 TFLOPS versus NVIDIA RTX 5090 (Blackwell 消费级旗舰)'s 838 TFLOPS, a clear edge in large-scale Transformer training/inference.
  • Power: NVIDIA RTX 4090 has a TDP of 450 W, lower than NVIDIA RTX 5090 (Blackwell 消费级旗舰)'s 575 W, friendlier to datacenter PUE and cooling.
  • Memory capacity: NVIDIA RTX 5090 (Blackwell 消费级旗舰) packs 32 GB GDDR7, more than NVIDIA RTX 4090's 24 GB GDDR6X, more comfortable for single-card hosting of very large models.

Selection Advice​

  • When chasing extreme single-card compute and a mature toolchain, prioritize NVIDIA RTX 4090; if budget, power wall, or local support are hard constraints, NVIDIA RTX 5090 (Blackwell 消费级旗舰) often fits better. Use this site's AI Compute Card Comparison Tool to validate multiple chips side-by-side before deciding.

FAQ​

What are the main differences between NVIDIA RTX 4090 and NVIDIA RTX 5090 (Blackwell 消费级旗舰)?​

The core difference is architecture and compute density: NVIDIA RTX 4090 uses Ada Lovelace AD102, FP8 ~2,642 TFLOPS, memory 24 GB GDDR6X; NVIDIA RTX 5090 (Blackwell 消费级旗舰) uses Blackwell (GB202), FP8 ~838 TFLOPS, memory 32 GB GDDR7. See the comparison table above.

What is the TDP (power) of NVIDIA RTX 4090?​

NVIDIA RTX 4090 has a TDP of 450 W; actual whole-system power also includes board, fans, and PUE.

Which is better for large-model training / inference?​

Training values memory capacity, bandwidth, and multi-card interconnect; inference values single-card throughput and power efficiency. Combine the "Key Differences" and "Selection Advice" above with your batch size, model size, and SLA.

How much do NVIDIA RTX 4090 and NVIDIA RTX 5090 (Blackwell 消费级旗舰) differ in memory capacity?​

NVIDIA RTX 4090 is 24 GB GDDR6X, NVIDIA RTX 5090 (Blackwell 消费级旗舰) is 32 GB GDDR7; the gap directly affects loadable model size and context length.