Specifications Compared
| Spec | A100 | RTX-5090 |
|---|---|---|
| TDP | 400W | 575W |
| VRAM | 40-80 GB | 32 GB |
| CUDA Cores | 6,912 | 21,760 |
| Memory Type | HBM2e | GDDR7 |
| Architecture | Ampere | Blackwell |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | PCIe 5.0 |
| Tensor Cores | 432 | 680 |
| FP16 Performance | 312 TFLOPS | 419 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 105 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | 1.6 TFLOPS |
| INT8 Performance | 624 TOPS | 838 TOPS |
| Memory Bandwidth | 2,039 GB/s | 1,792 GB/s |
Performance Analysis
Raw compute favors the RTX 5090: its 419 TFLOPS FP16 exceeds the A100's 312 TFLOPS, accelerating mixed-precision training, while 105 TFLOPS FP32 dwarfs 19.5 TFLOPS for single-precision tasks like simulations. The RTX 5090's FP8 capability at 838 TFLOPS further boosts low-precision inference efficiency.
Memory specs create key trade-offs. The A100's 80 GB HBM2e VRAM and 2039 GB/s bandwidth support larger batch sizes in memory-intensive LLM training, reducing overhead compared to the RTX 5090's 32 GB GDDR7 at 1792 GB/s, which suits smaller models or inference.
Power draw underscores efficiency differences: A100 at 400W TDP runs cooler than RTX 5090's 575W, aiding dense cloud racks, though interconnects like NVLink on A100 enable superior multi-GPU scaling over PCIe 5.0.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 SXM4 80GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 2826GB Storage | Slovenia | $0.73/GPU/hr | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 794GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
 LeaderGPU | 8×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.90/GPU/hr $7.20/hr total (8×) | Available | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 557GB Storage | Czechia | $1.00/GPU/hr | Available | ||
 Denvr | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 128 vCPU 1024GB RAM 15200GB Storage | Virginia | $1.15/GPU/hr $9.20/hr total (8×) |
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 | 16 vCPU 30GB RAM 583GB Storage | South Korea | $0.87/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 495GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 384 vCPU 94GB RAM 642GB Storage | Czechia | $0.89/GPU/hr | Available |
When to Choose the A100 SXM4 80GB
Enterprises handling massive datasets select the A100 SXM4 80GB for its 80 GB HBM2e VRAM, essential for training LLMs exceeding 32 GB model sizes. NVLink interconnect supports seamless multi-GPU configurations, ideal for distributed training at scale.
High-bandwidth needs at 2039 GB/s favor A100 in memory-bound workloads, where larger batches minimize iterations despite higher $1.34/hr average pricing.
When to Choose the RTX 5090
Budget-conscious users prefer the RTX 5090 for its low $0.09/hr starting price and 419 TFLOPS FP16, outperforming A100 in throughput for fine-tuning or inference. FP8 at 838 TFLOPS excels in quantized deployments.
Gaming, rendering, or FP32-heavy science tasks leverage 105 TFLOPS, with PCIe 5.0 suiting single-node setups where 32 GB VRAM suffices.
Use Cases
A100's 80 GB HBM2e VRAM and 2039 GB/s bandwidth handle large batch sizes for massive models. RTX 5090's 32 GB limits scalability.
RTX 5090's 838 TFLOPS FP8 and 419 TFLOPS FP16 provide high throughput for quantized serving. Lower $0.63/hr pricing enhances cost-efficiency.
RTX 5090's 105 TFLOPS FP32 outperforms A100's 19.5 TFLOPS for parameter updates. 32 GB VRAM suffices for most adapters.
RTX 5090 excels in generative tasks with 419 TFLOPS FP16 and consumer optimizations. Cheaper at $0.09/hr from for rapid iterations.
RTX 5090's 105 TFLOPS FP32 crushes A100's 19.5 TFLOPS for simulations. PCIe 5.0 supports diverse workloads efficiently.
Frequently Asked Questions
Does the A100 have more VRAM than RTX 5090?▾
Yes, A100 SXM4 80GB offers 80 GB HBM2e versus RTX 5090's 32 GB GDDR7. This enables larger models on A100. Bandwidth also favors A100 at 2039 GB/s over 1792 GB/s.
Which has better FP32 performance?▾
RTX 5090 leads with 105 TFLOPS FP32 against A100's 19.5 TFLOPS. This benefits scientific computing and graphics. FP16 also higher at 419 TFLOPS versus 312 TFLOPS.
What is the cloud pricing comparison?▾
RTX 5090 starts at $0.09/hr averaging $0.63/hr across 31 offers. A100 begins at $0.45/hr with $1.34/hr average over 28 offers. RTX 5090 provides better value.
Is RTX 5090 good for AI training?▾
RTX 5090 suits smaller-scale training with 419 TFLOPS FP16. A100 excels for large LLMs via 80 GB VRAM. Choose based on model size.
How do TDPs compare?▾
A100 consumes 400W TDP, more efficient than RTX 5090's 575W. This aids dense deployments. RTX 5090 delivers higher compute per watt in FP32.
Can RTX 5090 replace A100 in datacenters?▾
RTX 5090 replaces A100 for cost-sensitive inference with FP8 at 838 TFLOPS. Lacks NVLink for multi-GPU, limiting large-scale training.
Which is cheaper to rent, the A100 or the RTX 5090?▾
Cloud rental prices for both the A100 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 A100 have compared to the RTX 5090?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX 5090 has 32 GB of GDDR7 memory.
Can I find A100 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 A100 and the RTX 5090?▾
The A100 uses the Ampere architecture (2020) while the RTX 5090 uses Blackwell (2025). The RTX 5090 delivers 1.3x the FP16 throughput and 1.1x the memory bandwidth of the A100.