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

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.