Specifications Compared
| Spec | RTX-3090 | RTX-4070 |
|---|---|---|
| TDP | 350W | 200W |
| VRAM | 24 GB | 12 GB |
| CUDA Cores | 10,496 | 5,888 |
| Memory Type | GDDR6X | GDDR6X |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 328 | 184 |
| FP16 Performance | 35.6 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 35.6 TFLOPS | 29.1 TFLOPS |
| Memory Bandwidth | 936 GB/s | 504 GB/s |
Performance Analysis
The RTX 3090 Ti's 24 GB VRAM doubles that of the RTX 4070 Ti SUPER's 12 GB, enabling larger batch sizes and complex models in training without out-of-memory errors. This advantage shines in deep learning where datasets exceed 12 GB footprints.
Higher memory bandwidth of 936 GB/s on the RTX 3090 Ti versus 504 GB/s on the RTX 4070 Ti SUPER accelerates data transfers, supporting bigger batches in training and reducing latency in inference pipelines. Lower bandwidth on the newer card may bottleneck high-throughput workloads.
Both GPUs match FP16 and FP32 rates at 35.6 TFLOPS for RTX 3090 Ti and 29.1 TFLOPS for RTX 4070 Ti SUPER, suiting mixed-precision training and inference equally. The Ada Lovelace design offers architectural improvements for efficiency, but the RTX 3090 Ti's 350W TDP demands more power than the 200W RTX 4070 Ti SUPER.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 3090 Ti
| 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 153GB 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 1440GB 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 4070 Ti SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the RTX 3090 Ti
The RTX 3090 Ti excels in memory-bound tasks such as training large language models exceeding 12 GB VRAM. Its 24 GB capacity and 936 GB/s bandwidth handle massive batches effectively.
NVLink interconnect enables seamless multi-GPU setups, ideal for scaling scientific simulations or fine-tuning where the RTX 4070 Ti SUPER lacks equivalent support.
When to Choose the RTX 4070 Ti SUPER
Select the RTX 4070 Ti SUPER for power-sensitive deployments: its 200W TDP cuts energy costs compared to 350W on the RTX 3090 Ti. Cloud pricing averages $0.17/hr across 2 offers, lower than $0.25/hr for the RTX 3090 Ti.
Newer Ada Lovelace architecture optimizes inference for models fitting within 12 GB VRAM, delivering efficiency gains over Ampere despite 29.1 TFLOPS versus 35.6 TFLOPS.
Use Cases
The RTX 3090 Ti's 24 GB VRAM supports larger models and batch sizes than the 12 GB on RTX 4070 Ti SUPER. Higher 936 GB/s bandwidth prevents data bottlenecks during training.
Smaller models fit both, but RTX 3090 Ti handles 24 GB prompts better. RTX 4070 Ti SUPER suffices for efficiency with 200W TDP.
24 GB VRAM accommodates full model loading and gradients, unlike 12 GB limits on RTX 4070 Ti SUPER. NVLink aids multi-GPU fine-tuning.
Ada Lovelace architecture enhances generative tasks with better tensor cores despite lower 29.1 TFLOPS. Lower 200W TDP suits prolonged rendering.
35.6 TFLOPS FP32 and 936 GB/s bandwidth accelerate simulations. 24 GB VRAM manages large datasets exceeding RTX 4070 Ti SUPER capacity.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 3090 Ti offers 24 GB GDDR6X VRAM. The RTX 4070 Ti SUPER provides 12 GB GDDR6X. This difference impacts handling of large AI models.
What are the cloud pricing differences?▾
RTX 3090 Ti pricing starts at $0.10/hr, averaging $0.25/hr across 5 offers. RTX 4070 Ti SUPER begins at $0.09/hr, averaging $0.17/hr across 2 offers.
Which has higher memory bandwidth?▾
RTX 3090 Ti achieves 936 GB/s bandwidth. RTX 4070 Ti SUPER reaches 504 GB/s. Higher bandwidth supports larger batch sizes in training.
What are the FP32 performance figures?▾
RTX 3090 Ti delivers 35.6 TFLOPS FP32. RTX 4070 Ti SUPER provides 29.1 TFLOPS FP32. Both match their FP16 rates.
Which GPU is more power efficient?▾
RTX 4070 Ti SUPER has a 200W TDP. RTX 3090 Ti requires 350W. Lower TDP reduces cloud operational costs.
Does either support NVLink?▾
RTX 3090 Ti includes NVLink for multi-GPU scaling. RTX 4070 Ti SUPER lacks this interconnect. NVLink benefits distributed training.
Which is cheaper to rent, the RTX 3090 or the RTX 4070?▾
Cloud rental prices for both the RTX 3090 and RTX 4070 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 4070?▾
The RTX 3090 has 24 GB of GDDR6X memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find RTX 3090 and RTX 4070 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 4070?▾
The RTX 3090 uses the Ampere architecture (2020) while the RTX 4070 uses Ada Lovelace (2023). The RTX 3090 delivers 1.2x the FP16 throughput and 1.9x the memory bandwidth of the RTX 4070.