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.