Specifications Compared
| Spec | A100 | RTX-3090 |
|---|---|---|
| TDP | 400W | 350W |
| VRAM | 40-80 GB | 24 GB |
| CUDA Cores | 6,912 | 10,496 |
| Memory Type | HBM2e | GDDR6X |
| Architecture | Ampere | Ampere |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | NVLink |
| Tensor Cores | 432 | 328 |
| FP16 Performance | 312 TFLOPS | 35.6 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 35.6 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | |
| Memory Bandwidth | 2,039 GB/s | 936 GB/s |
Performance Analysis
The A100 SXM4 40GB outperforms the RTX 3090 Ti dramatically in FP16 tensor operations at 312 TFLOPS versus 35.6 TFLOPS. This gap accelerates deep learning training and inference where half-precision dominates: models process up to 8.8 times faster on the A100. FP32 performance favors the RTX 3090 Ti at equal 35.6 TFLOPS to the A100's 19.5 TFLOPS, benefiting graphics or simulations reliant on single-precision.
Memory specs define workload feasibility: the A100's 40 GB HBM2e and 2039 GB/s bandwidth support batch sizes over twice those of the RTX 3090 Ti's 24 GB GDDR6X at 936 GB/s. Larger batches reduce training epochs and enable bigger models without out-of-memory errors. In multi-GPU setups, the A100's InfiniBand scales clusters better than the RTX 3090 Ti's PCIe limits.
Real-world impact appears in AI pipelines: A100 handles enterprise-scale transformers, while RTX 3090 Ti suits prototyping with modest datasets.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 SXM4 40GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 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 | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 126GB RAM 1114GB Storage | Czechia | $1.00/GPU/hr $2.00/hr total (2×) | Available | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 646GB Storage | Czechia | $1.07/GPU/hr | Available | ||
 Denvr | 4×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 512GB RAM 7600GB Storage | Virginia | $1.15/GPU/hr $4.60/hr total (4×) |
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 | ||
TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Dallas, Texas | $0.22/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 1217GB Storage | Finland | $0.27/GPU/hr $1.07/hr total (4×) | Available |
When to Choose the A100 SXM4 40GB
The A100 SXM4 40GB excels in large-scale LLM training requiring 40 GB VRAM and 312 TFLOPS FP16 throughput. Its 2039 GB/s bandwidth sustains massive batch sizes in distributed setups via NVLink or InfiniBand. Enterprises prioritize it for production inference on models exceeding 24 GB.
When to Choose the RTX 3090 Ti
The RTX 3090 Ti fits budget-conscious users with 24 GB VRAM at $0.10/hr starting price. It delivers balanced 35.6 TFLOPS FP16 and FP32 for fine-tuning or Stable Diffusion on desktops. Gamers or solo developers select it over the A100's $1.00/hr cost for versatile PCIe deployments.
Use Cases
The A100's 312 TFLOPS FP16 and 40 GB HBM2e VRAM enable training billion-parameter models with large batches. The RTX 3090 Ti's 35.6 TFLOPS and 24 GB limit scale.
A100 sustains high throughput on 40 GB models via 2039 GB/s bandwidth. RTX 3090 Ti restricts to smaller deployments under 24 GB.
RTX 3090 Ti's 35.6 TFLOPS FP32 and low $0.10/hr cost suit small datasets. A100 accelerates with 40 GB for parameter-efficient methods.
RTX 3090 Ti's 24 GB GDDR6X and 936 GB/s bandwidth generate images efficiently at $0.25/hr average. A100 overkill for consumer diffusion tasks.
A100's InfiniBand and 400W TDP scale simulations across nodes. RTX 3090 Ti's PCIe suits single-node FP32 at 35.6 TFLOPS.
Frequently Asked Questions
What is the VRAM difference between A100 SXM4 40GB and RTX 3090 Ti?▾
The A100 provides 40 GB HBM2e VRAM, exceeding the RTX 3090 Ti's 24 GB GDDR6X. This allows larger models on A100 without swapping. Bandwidth follows at 2039 GB/s versus 936 GB/s.
How do FP16 performances compare?▾
A100 achieves 312 TFLOPS in FP16, nearly 9 times the RTX 3090 Ti's 35.6 TFLOPS. This boosts AI training speed significantly. FP32 is closer: 19.5 TFLOPS on A100 against 35.6 TFLOPS.
What are the cloud rental prices?▾
A100 SXM4 40GB rents from $1.00/hr, averaging $2.53/hr across 6 providers. RTX 3090 Ti starts at $0.10/hr, averaging $0.25/hr over 5 offers. Cost scales with enterprise features.
Which has higher power consumption?▾
A100 draws 400W TDP, higher than RTX 3090 Ti's 350W. This supports denser datacenter packing on A100. Efficiency varies by workload precision.
Can RTX 3090 Ti replace A100 in ML training?▾
RTX 3090 Ti works for small-scale training with 24 GB VRAM but falters on large models needing 40 GB. A100's 312 TFLOPS FP16 cuts epochs dramatically. Use RTX for prototyping.
What form factors do they support?▾
A100 uses SXM4 or PCIe, RTX 3090 Ti is PCIe-only. A100 adds NVLink and InfiniBand for clustering. Both fit cloud instances.
Which is cheaper to rent, the A100 or the RTX 3090?▾
Cloud rental prices for both the A100 and RTX 3090 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 3090?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX 3090 has 24 GB of GDDR6X memory.
Can I find A100 and RTX 3090 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 3090?▾
The A100 uses the Ampere architecture (2020) while the RTX 3090 uses Ampere (2020). The A100 delivers 8.8x the FP16 throughput and 2.2x the memory bandwidth of the RTX 3090.