Specifications Compared
| Spec | RTX-3090 | RTX-4000-ADA |
|---|---|---|
| TDP | 350W | 130W |
| VRAM | 24 GB | 20 GB |
| CUDA Cores | 10,496 | 6,144 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 328 | 192 |
| FP16 Performance | 35.6 TFLOPS | 26.7 TFLOPS |
| FP32 Performance | 35.6 TFLOPS | 26.7 TFLOPS |
| Memory Bandwidth | 936 GB/s | 360 GB/s |
Performance Analysis
Memory differences dominate real-world impacts: the RTX 3090's 24 GB GDDR6X exceeds the RTX 4000 Ada's 20 GB GDDR6, enabling larger batch sizes in training. Its 936 GB/s bandwidth triples the RTX 4000 Ada's 360 GB/s, reducing data transfer bottlenecks during FP16 computations at 35.6 TFLOPS versus 26.7 TFLOPS. This favors the RTX 3090 for memory-intensive tasks like LLM fine-tuning with high-resolution datasets.
FP16 and FP32 performance align at 35.6 TFLOPS for the RTX 3090 and 26.7 TFLOPS for the RTX 4000 Ada, indicating similar tensor core efficiency for inference. However, the RTX 4000 Ada's lower 130W TDP versus 350W allows denser cloud deployments. Bandwidth constraints on the RTX 4000 Ada limit batch sizes in bandwidth-hungry scenarios, such as Stable Diffusion with large latents, where the RTX 3090 sustains higher throughput.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 3090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Wilmington, Delaware | $0.20/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Dallas, Texas | $0.21/GPU/hr | Available | ||
 Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 403GB RAM 104GB Storage | Iceland | $0.25/GPU/hr $1.01/hr total (4×) | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 252GB RAM 1217GB Storage | Finland | $0.27/GPU/hr $1.07/hr total (4×) | Available | ||
 LeaderGPU | 8×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.29/GPU/hr $2.29/hr total (8×) | Available |
RTX 4000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 8 vCPU 50GB RAM | 🌍global | $0.26/GPU/hr | |||
Vast.ai | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 64 vCPU 42GB RAM 505GB Storage | Hungary | $0.40/GPU/hr | Available | ||
RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 8 vCPU 50GB RAM | 🌍global | $0.44/GPU/hr | |||
RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 0 vCPU 0GB RAM | 🌍global | $0.57/GPU/hr |
When to Choose the RTX 3090
The RTX 3090 suits workloads demanding maximum memory: its 24 GB VRAM handles models exceeding 20 GB, unlike the RTX 4000 Ada. High 936 GB/s bandwidth supports large-batch training in LLMs, where the RTX 4000 Ada's 360 GB/s causes stalls. NVLink enables efficient multi-GPU scaling absent in the RTX 4000 Ada.
When to Choose the RTX 4000 Ada
The RTX 4000 Ada excels in power-sensitive environments: its 130W TDP contrasts the RTX 3090's 350W, fitting dense cloud instances. Newer Ada Lovelace architecture optimizes inference at 26.7 TFLOPS FP16 with lower average pricing of $0.21 per hour. Choose it for cost-effective, single-GPU inference without NVLink needs.
Use Cases
RTX 3090's 24 GB VRAM and 936 GB/s bandwidth support larger batches than RTX 4000 Ada's 20 GB and 360 GB/s. NVLink aids multi-GPU scaling.
RTX 4000 Ada's 130W TDP and $0.21 per hour average suit efficient serving. Ada architecture optimizes 26.7 TFLOPS FP16 inference.
24 GB VRAM handles parameter-heavy fine-tuning beyond 20 GB limits. 35.6 TFLOPS FP16 exceeds 26.7 TFLOPS for faster iterations.
High 936 GB/s bandwidth prevents stalls in high-res generations. 24 GB VRAM fits larger models without swapping.
Both offer 35.6 TFLOPS or 26.7 TFLOPS FP32; choose RTX 3090 for memory-intensive sims or RTX 4000 Ada for power efficiency.
Frequently Asked Questions
Which has more VRAM, RTX 3090 or RTX 4000 Ada?▾
RTX 3090 provides 24 GB GDDR6X VRAM. RTX 4000 Ada offers 20 GB GDDR6. This makes RTX 3090 better for large models.
What is the memory bandwidth difference?▾
RTX 3090 delivers 936 GB/s. RTX 4000 Ada has 360 GB/s. Higher bandwidth on RTX 3090 boosts batch processing speeds.
How do FP16 performances compare?▾
RTX 3090 achieves 35.6 TFLOPS FP16. RTX 4000 Ada reaches 26.7 TFLOPS. RTX 3090 leads in raw compute for training.
Which is cheaper in the cloud?▾
RTX 3090 starts at $0.08 per hour average $0.41 per hour across 51 offers. RTX 4000 Ada is $0.09 per hour average $0.21 per hour across 8 offers. RTX 4000 Ada has lower average cost.
What are the power consumptions?▾
RTX 3090 TDP is 350W. RTX 4000 Ada TDP is 130W. Lower TDP on RTX 4000 Ada suits power-limited setups.
Does RTX 4000 Ada support NVLink?▾
RTX 4000 Ada lacks NVLink interconnect. RTX 3090 includes it for multi-GPU communication.
Which is cheaper to rent, the RTX 3090 or the RTX 4000 Ada?▾
Cloud rental prices for both the RTX 3090 and RTX 4000 Ada 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 3090 have compared to the RTX 4000 Ada?▾
The RTX 3090 has 24 GB of GDDR6X memory. The RTX 4000 Ada has 20 GB of GDDR6 memory.
Can I find RTX 3090 and RTX 4000 Ada 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 3090 and the RTX 4000 Ada?▾
The RTX 3090 uses the Ampere architecture (2020) while the RTX 4000 Ada uses Ada Lovelace (2023). The RTX 3090 delivers 1.3x the FP16 throughput and 2.6x the memory bandwidth of the RTX 4000 Ada.