NVIDIA RTX 4090 vs. RTX 5090: Deep Dive for AI Training

Kb Bohara - Feb 14 - - Dev Community

Gemini: Deep Research Summary

The rise of AI workloads has driven demand for powerful GPUs. This analysis compares NVIDIA's RTX 4090 and RTX 5090, focusing on specs, benchmarks, and real-world AI performance.

Key Differences

Feature RTX 4090 RTX 5090
Architecture Ada Lovelace Blackwell
CUDA Cores 16,384 21,760
Tensor Cores 512 680
Memory Type GDDR6X GDDR7
Memory Capacity 24GB 32GB
Memory Bandwidth 1,008 GB/s 1,792 GB/s
Power Usage 450W 575W

The RTX 5090 outperforms the 4090 with more CUDA and Tensor Cores, faster GDDR7 memory, and improved efficiency, crucial for AI tasks.

Benchmark Comparison

Task RTX 4090 RTX 5090
ResNet50 (FP16, Images/sec) 379 N/A
BERT Fine-tuning (Tokens/sec) 297 N/A
General AI Speedup (4K) - +36%
AI Image Gen (FP8) - +75%
AI Image Gen (FP4) - 4x faster

The RTX 5090 delivers a 28-36% boost in ML tasks and up to 4x speedup in AI image generation.

DLSS 4 & AI Benefits

DLSS 4 introduces Multi Frame Generation (MFG), enhancing AI-driven image and video processing.

Pricing & Availability

GPU Price Availability
RTX 4090 ~$1,600 Widely available
RTX 5090 ~$1,999+ Limited stock, high demand

Verdict

  • RTX 5090: Best for cutting-edge AI, higher performance, but expensive & hard to find.
  • RTX 4090: Still powerful, more affordable, better availability.

Final Thoughts

For AI workloads, the RTX 5090 is the superior choice but comes at a premium. The RTX 4090 remains a strong alternative for those prioritizing cost and availability.

. . . . . . . . . . . . . . . . . .