Specifications Compared
| Spec | RTX-4060 | RTX-5090 |
|---|---|---|
| TDP | 115W | 575W |
| VRAM | 8 GB | 32 GB |
| CUDA Cores | 3,072 | 21,760 |
| Memory Type | GDDR6 | GDDR7 |
| Architecture | Ada Lovelace | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 5.0 | |
| Tensor Cores | 96 | 680 |
| FP16 Performance | 15.1 TFLOPS | 419 TFLOPS |
| FP32 Performance | 15.1 TFLOPS | 105 TFLOPS |
| INT8 Performance | 242 TOPS | 838 TOPS |
| Memory Bandwidth | 272 GB/s | 1,792 GB/s |
Performance Analysis
Compute capabilities define superiority: the RTX 4060 provides 15.1 TFLOPS FP16 for half-precision training and inference, matching its 15.1 TFLOPS FP32 for single-precision tasks. The RTX 5090 surges to 419 TFLOPS FP16, accelerating ML training by handling more operations per second, and 105 TFLOPS FP32 for scientific simulations. Its 838 TFLOPS FP8 further optimizes low-precision inference in large language models.
Memory specs impact real-world use profoundly: RTX 4060's 8 GB GDDR6 limits batch sizes in training to small datasets, risking out-of-memory errors for models over 7 billion parameters. RTX 5090's 32 GB GDDR7 supports massive batches, enabling efficient fine-tuning of 70 billion parameter models without splitting. Bandwidth tells the story: 272 GB/s on RTX 4060 bottlenecks data transfer in memory-intensive tasks, while 1792 GB/s on RTX 5090 sustains high throughput for diffusion models or simulations.
Power draw influences deployment: RTX 4060's 115W TDP fits edge or multi-GPU setups with low cooling needs, contrasting RTX 5090's 575W which demands robust infrastructure but yields 28 times the FP16 performance per instance.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 5090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() TensorDock | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.57/GPU/hr | Available | ||
![]() Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 384 vCPU 94GB RAM 570GB Storage | Czechia | $0.81/GPU/hr | Available | ||
![]() Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 8 vCPU 30GB RAM 489GB Storage | South Korea | $0.87/GPU/hr | Available | ||
![]() Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 583GB Storage | South Korea | $0.87/GPU/hr | Available | ||
![]() Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 495GB Storage | South Korea | $0.91/GPU/hr | Available |
When to Choose the RTX 4060
Opt for the RTX 4060 in budget-constrained environments requiring light workloads. Its pricing from $0.08 per hour suits prototyping, small-scale inference, or educational projects where 8 GB VRAM handles models up to 7 billion parameters and 15.1 TFLOPS FP16 suffices. The 115W TDP enables dense cloud deployments without high power costs.
This GPU excels for developers testing Stable Diffusion at low resolutions or basic scientific computing on modest datasets, leveraging PCIe form factor for easy integration.
When to Choose the RTX 5090
Select the RTX 5090 for demanding AI pipelines needing extreme performance. With 32 GB GDDR7 and 1792 GB/s bandwidth, it processes large batch sizes in LLM training or fine-tuning of models exceeding 30 billion parameters. FP16 at 419 TFLOPS cuts training times dramatically compared to competitors.
High-end users benefit in production inference or complex simulations, where PCIe 5.0 interconnect and 575W TDP justify $0.13 per hour starting costs across 22 offers.
Use Cases
RTX 5090's 419 TFLOPS FP16 and 32 GB VRAM enable training large models with big batches, far beyond RTX 4060's 15.1 TFLOPS and 8 GB limits.
838 TFLOPS FP8 and 1792 GB/s bandwidth on RTX 5090 deliver low-latency serving for production-scale LLMs, outperforming RTX 4060's modest specs.
32 GB GDDR7 supports fine-tuning 70B models without issues, with RTX 5090's high FLOPS accelerating iterations over RTX 4060's constraints.
RTX 4060 handles basic generations at 15.1 TFLOPS FP16, but RTX 5090's superior bandwidth excels in high-res batch processing.
105 TFLOPS FP32 and PCIe 5.0 on RTX 5090 power complex simulations, surpassing RTX 4060's 15.1 TFLOPS for large-scale computations.
Frequently Asked Questions
Which GPU has more VRAM: RTX 4060 or RTX 5090?▾
The RTX 5090 offers 32 GB GDDR7 VRAM, quadrupling the RTX 4060's 8 GB GDDR6. This enables larger models and batch sizes on the RTX 5090. Bandwidth follows suit at 1792 GB/s versus 272 GB/s.
What is the FP16 performance difference between RTX 4060 and RTX 5090?▾
RTX 5090 delivers 419 TFLOPS FP16, about 28 times the RTX 4060's 15.1 TFLOPS. This gap accelerates ML training significantly. FP32 stands at 105 TFLOPS versus 15.1 TFLOPS.
How do cloud prices compare for RTX 4060 vs RTX 5090?▾
RTX 4060 starts at $0.08 per hour averaging $0.14 across 8 offers, cheaper than RTX 5090's $0.13 start and $0.67 average over 22 offers. Value shifts with workload intensity.
Is RTX 5090 better for AI training than RTX 4060?▾
Yes, RTX 5090's 419 TFLOPS FP16 and 32 GB VRAM outperform RTX 4060's 15.1 TFLOPS and 8 GB for training. It handles larger datasets efficiently.
What are the TDP ratings of these GPUs?▾
RTX 4060 has a 115W TDP for low-power use, while RTX 5090 requires 575W for its high performance. This affects cooling and cloud instance choices.
RTX 4060 vs RTX 5090: which for Stable Diffusion?▾
RTX 5090 excels with 1792 GB/s bandwidth for fast high-res generations, but RTX 4060 works for basics at 272 GB/s. Choose based on scale.
Which is cheaper to rent, the RTX 4060 or the RTX 5090?▾
Cloud rental prices for both the RTX 4060 and RTX 5090 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the RTX 4060 have compared to the RTX 5090?▾
The RTX 4060 has 8 GB of GDDR6 memory. The RTX 5090 has 32 GB of GDDR7 memory.
Can I find RTX 4060 and RTX 5090 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the RTX 4060 and the RTX 5090?▾
The RTX 4060 uses the Ada Lovelace architecture (2023) while the RTX 5090 uses Blackwell (2025). The RTX 5090 delivers 27.7x the FP16 throughput and 6.6x the memory bandwidth of the RTX 4060.

