Specifications Compared
| Spec | A100 | RTX-4090 |
|---|---|---|
| TDP | 400W | 450W |
| VRAM | 40-80 GB | 24 GB |
| CUDA Cores | 6,912 | 16,384 |
| Memory Type | HBM2e | GDDR6X |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | PCIe 4.0 |
| Tensor Cores | 432 | 512 |
| FP16 Performance | 312 TFLOPS | 165 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 82.6 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | 1.3 TFLOPS |
| INT8 Performance | 624 TOPS | 660 TOPS |
| Memory Bandwidth | 2,039 GB/s | 1,008 GB/s |
Performance Analysis
The A100 PCIe 40GB's superior FP16 performance at 312 TFLOPS outpaces the RTX 4090's 165 TFLOPS: this advantage accelerates large model training where half-precision arithmetic prevails, enabling faster convergence on datasets exceeding 24 GB VRAM limits. Conversely, RTX 4090's 82.6 TFLOPS FP32 dwarfs A100's 19.5 TFLOPS, favoring inference or simulations demanding precise single-precision calculations.
Memory bandwidth dictates practical throughput: A100's 2039 GB/s sustains larger batch sizes during training, minimizing data loading bottlenecks compared to RTX 4090's 1008 GB/s. For inference, RTX 4090's 660 TFLOPS FP8 capability optimizes low-precision quantized models, reducing latency in high-volume deployments. These specs translate to A100 dominance in memory-intensive HPC, RTX 4090 efficiency in compact workloads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 PCIe 40GB
| 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 4090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.39/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 32 vCPU 101GB RAM 152GB Storage | Iceland | $0.40/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Orlando, Florida | $0.48/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 32 vCPU 101GB RAM 108GB Storage | Iceland | $0.53/GPU/hr | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 80 vCPU 157GB RAM 856GB Storage | United Kingdom | $0.67/GPU/hr $2.67/hr total (4×) | Available |
When to Choose the A100 PCIe 40GB
The A100 PCIe 40GB suits enterprise-scale AI: its 40 GB HBM2e VRAM accommodates massive language models that surpass RTX 4090's 24 GB capacity, while 2039 GB/s bandwidth supports expansive batch sizes. NVLink and InfiniBand interconnects enable seamless multi-GPU clusters for distributed training.
When to Choose the RTX 4090
The RTX 4090 fits budget-conscious or single-node setups: averaging $0.46 per hour across 111 offers versus A100's $1.75 per hour, it delivers 82.6 TFLOPS FP32 for graphics rendering or mid-sized ML inference. Its 450W TDP and PCIe form factor simplify deployment in consumer-grade clouds.
Use Cases
A100's 40 GB VRAM and 312 TFLOPS FP16 enable training larger models with bigger batches than RTX 4090's 24 GB limit.
RTX 4090's 660 TFLOPS FP8 and $0.46 per hour average cost optimize high-throughput quantized inference.
Both GPUs perform well; A100 excels with 2039 GB/s bandwidth for large datasets, RTX 4090 saves costs at lower scale.
RTX 4090's 82.6 TFLOPS FP32 and Ada Lovelace optimizations accelerate image generation tasks efficiently.
A100's NVLink interconnect and 312 TFLOPS FP16 support parallel HPC simulations better than RTX 4090.
Frequently Asked Questions
Which has more VRAM?▾
NVIDIA A100 PCIe 40GB offers 40 GB HBM2e VRAM, surpassing RTX 4090's 24 GB GDDR6X. This capacity allows A100 to process larger models without offloading to system RAM.
What are the cloud pricing differences?▾
RTX 4090 starts at $0.16 per hour averaging $0.46 per hour across 111 offers; A100 PCIe 40GB starts at $0.60 per hour averaging $1.75 per hour across 12 offers. RTX 4090 provides better value for cost-sensitive users.
Which GPU wins in FP16 performance?▾
A100 delivers 312 TFLOPS FP16, exceeding RTX 4090's 165 TFLOPS. This makes A100 preferable for FP16-heavy training workloads.
How do memory bandwidths compare?▾
A100 provides 2039 GB/s, double RTX 4090's 1008 GB/s. Higher bandwidth on A100 supports larger batch sizes in memory-bound tasks.
What about power consumption?▾
A100 has 400W TDP versus RTX 4090's 450W. Both are power-hungry, but A100's efficiency shines in datacenter cooling setups.
Which is newer?▾
RTX 4090 uses 2022 Ada Lovelace architecture, postdating A100's 2020 Ampere. Newer design gives RTX 4090 edges in FP32 and FP8 performance.
Which is cheaper to rent, the A100 or the RTX 4090?▾
Cloud rental prices for both the A100 and RTX 4090 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 4090?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX 4090 has 24 GB of GDDR6X memory.
Can I find A100 and RTX 4090 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 4090?▾
The A100 uses the Ampere architecture (2020) while the RTX 4090 uses Ada Lovelace (2022). The A100 delivers 1.9x the FP16 throughput and 2.0x the memory bandwidth of the RTX 4090.