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
Higher compute capability defines the RTX 3090 Ti: 35.6 TFLOPS in FP16 and FP32 exceeds the RTX 4000 Ada's 26.7 TFLOPS by 33 percent. This gap accelerates training and inference for deep learning models, particularly in compute-intensive phases like backpropagation.
Memory differences impact real-world usage profoundly. The RTX 3090 Ti's 24 GB VRAM and 936 GB/s bandwidth support larger batch sizes than the RTX 4000 Ada's 20 GB and 360 GB/s, enabling efficient handling of large datasets or models without swapping to system RAM. Lower bandwidth on the Ada GPU limits throughput in memory-bound scenarios such as high-resolution image generation.
Both GPUs maintain identical FP16 to FP32 ratios, facilitating mixed-precision workflows common in modern AI training.
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 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 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 4000 Ada Generation
| 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 Ti
The RTX 3090 Ti suits memory-heavy workloads requiring maximum capacity. Its 24 GB GDDR6X VRAM handles large language models or extensive datasets that surpass the RTX 4000 Ada's 20 GB limit. The 936 GB/s bandwidth further allows bigger batch sizes in training, boosting overall throughput for tasks like Stable Diffusion at high resolutions.
When to Choose the RTX 4000 Ada Generation
The RTX 4000 Ada excels in power-constrained or cost-sensitive environments. Its 130W TDP consumes far less power than the RTX 3090 Ti's 350W, making it preferable for multi-GPU setups or prolonged inference serving. At $0.09/hr starting price (average $0.22/hr), it fits lighter fine-tuning or inference where 26.7 TFLOPS and 20 GB VRAM suffice.
Use Cases
The RTX 3090 Ti's 24 GB VRAM and 936 GB/s bandwidth accommodate larger LLMs and batch sizes essential for efficient training. The RTX 4000 Ada's 20 GB and 360 GB/s fall short for extensive models.
24 GB VRAM on the RTX 3090 Ti supports deploying bigger LLMs without quantization compromises. Higher 35.6 TFLOPS ensures faster token generation than 26.7 TFLOPS on the RTX 4000 Ada.
Fine-tuning benefits from the RTX 3090 Ti's extra 4 GB VRAM and 936 GB/s bandwidth for larger adapters or datasets. This reduces memory errors common with the RTX 4000 Ada's constraints.
High-resolution image generation demands the RTX 3090 Ti's 24 GB VRAM to avoid out-of-memory issues. Its bandwidth sustains larger batches for faster iteration.
The RTX 4000 Ada's 130W TDP and Ada Lovelace architecture optimize for sustained FP32 simulations. Lower pricing at $0.09/hr suits long-running compute tasks over raw memory.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 3090 Ti provides 24 GB GDDR6X VRAM. The RTX 4000 Ada Generation offers 20 GB GDDR6. This 4 GB difference matters for loading large AI models.
What are the cloud pricing details?▾
RTX 3090 Ti rentals start from $0.10/hr with an average of $0.25/hr across 5 offers. RTX 4000 Ada starts at $0.09/hr averaging $0.22/hr over 9 offers. Prices reflect real-time cloud availability.
Which has higher compute performance?▾
RTX 3090 Ti achieves 35.6 TFLOPS in FP16 and FP32. RTX 4000 Ada reaches 26.7 TFLOPS in both. The Ampere GPU leads by about 33 percent in raw throughput.
How do TDPs compare?▾
RTX 3090 Ti requires 350W TDP. RTX 4000 Ada uses 130W. Lower power on Ada enables denser deployments in cloud instances.
What architectures do they use?▾
RTX 3090 Ti employs Ampere from 2020 with NVLink interconnect. RTX 4000 Ada uses Ada Lovelace from 2023. Newer architecture brings efficiency gains.
Which supports larger batch sizes?▾
RTX 3090 Ti's 936 GB/s bandwidth outperforms RTX 4000 Ada's 360 GB/s. This allows significantly larger batches in training without performance drops.
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.