Specifications Compared
| Spec | RTX-3090 | RTX-4500-ADA |
|---|---|---|
| TDP | 350W | 210W |
| VRAM | 24 GB | 24 GB |
| CUDA Cores | 10,496 | 7,680 |
| Memory Type | GDDR6X | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 328 | 240 |
| FP16 Performance | 35.6 TFLOPS | 39.6 TFLOPS |
| FP32 Performance | 35.6 TFLOPS | 39.6 TFLOPS |
| Memory Bandwidth | 936 GB/s | 432 GB/s |
Performance Analysis
Memory bandwidth marks the primary spec divergence: RTX 3090's 936 GB/s versus RTX 4500 Ada's 432 GB/s. This gap impacts batch sizes in training, where RTX 3090 handles larger datasets without bottlenecks, enabling 2x faster data throughput in memory-bound scenarios. Lower bandwidth on RTX 4500 Ada limits scalability for high-resolution models or extensive parallel processing.
FP16 and FP32 performance shows RTX 4500 Ada at 39.6 TFLOPS slightly ahead of RTX 3090's 35.6 TFLOPS, benefiting inference tasks with Ada Lovelace optimizations like improved tensor cores. For training, higher bandwidth trumps marginal FLOPS gains, as data movement dominates. RTX 4500 Ada's 210W TDP versus 350W reduces power costs by 40%, aiding dense cloud deployments.
In real-world terms, RTX 3090 excels in bandwidth-heavy training of large language models, while RTX 4500 Ada suits power-sensitive inference with newer architecture support.
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 4500 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 4500 Ada 24GB VRAM | 24GB | 0 vCPU 0GB RAM | 🌍global | $0.74/GPU/hr |
When to Choose the RTX 3090
Select RTX 3090 for workloads demanding high memory bandwidth, such as training large models with batch sizes exceeding 32. Its 936 GB/s throughput prevents stalls in data-heavy tasks like Stable Diffusion at high resolutions. Lower cloud pricing from $0.08/hr across 53 offers makes it economical for extended sessions, and NVLink enables multi-GPU scaling unavailable on RTX 4500 Ada.
When to Choose the RTX 4500 Ada
Choose RTX 4500 Ada for efficiency-focused applications, including inference on optimized frameworks leveraging Ada Lovelace. Its 210W TDP cuts power draw by 40% over RTX 3090's 350W, ideal for cost-sensitive clusters. The 39.6 TFLOPS FP16/FP32 performance and 2023 architecture ensure better compatibility with recent software stacks.
Use Cases
RTX 3090's 936 GB/s bandwidth supports larger batch sizes critical for LLM training, avoiding bottlenecks seen with RTX 4500 Ada's 432 GB/s.
RTX 4500 Ada's 39.6 TFLOPS and 210W TDP provide efficiency for sustained inference, with Ada architecture optimizations reducing latency.
High 936 GB/s bandwidth on RTX 3090 accelerates data loading during fine-tuning of 24 GB models, enabling faster iterations than 432 GB/s.
RTX 3090 handles high-resolution generation via 936 GB/s bandwidth, supporting larger batches without memory throttling on RTX 4500 Ada.
Both offer 24 GB VRAM and similar 35.6-39.6 TFLOPS; RTX 3090 suits bandwidth-intensive simulations, while RTX 4500 Ada fits power-limited environments.
Frequently Asked Questions
Which GPU has higher memory bandwidth?▾
RTX 3090 provides 936 GB/s, more than double RTX 4500 Ada's 432 GB/s. This benefits memory-bound tasks like large batch training. Bandwidth directly affects data transfer speeds in ML workflows.
Do they have the same VRAM?▾
Both feature 24 GB VRAM, RTX 3090 with GDDR6X and RTX 4500 Ada with GDDR6. This equality suits large models up to 24 GB. Differences lie in bandwidth and architecture.
Which is cheaper in the cloud?▾
RTX 3090 starts at $0.08/hr average $0.40/hr across 53 offers, versus RTX 4500 Ada's $0.34/hr average $0.51/hr across 3 offers. RTX 3090 offers better availability and low-end pricing.
What are the power consumption differences?▾
RTX 3090 has 350W TDP, while RTX 4500 Ada uses 210W. The 40% lower power on RTX 4500 Ada reduces operational costs in dense setups. This impacts cloud billing for long runs.
Which has better FP32 performance?▾
RTX 4500 Ada delivers 39.6 TFLOPS FP32, edging RTX 3090's 35.6 TFLOPS by 11%. Both match FP16 at these rates. Ada architecture adds efficiency for compute tasks.
What architectures do they use?▾
RTX 3090 uses Ampere from 2020 with NVLink support. RTX 4500 Ada employs Ada Lovelace from 2023. Newer Ada provides software optimizations absent in Ampere.
Which is cheaper to rent, the RTX 3090 or the RTX 4500 Ada?▾
Cloud rental prices for both the RTX 3090 and RTX 4500 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 4500 Ada?▾
The RTX 3090 has 24 GB of GDDR6X memory. The RTX 4500 Ada has 24 GB of GDDR6 memory.
Can I find RTX 3090 and RTX 4500 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 4500 Ada?▾
The RTX 3090 uses the Ampere architecture (2020) while the RTX 4500 Ada uses Ada Lovelace (2023). The RTX 4500 Ada delivers 1.1x the FP16 throughput and 2.2x the memory bandwidth of the RTX 3090.