Specifications Compared
| Spec | A100 | RTX-A5000 |
|---|---|---|
| TDP | 400W | 230W |
| VRAM | 40-80 GB | 24 GB |
| CUDA Cores | 6,912 | 8,192 |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Ampere | Ampere |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | NVLink |
| Tensor Cores | 432 | 256 |
| FP16 Performance | 312 TFLOPS | 27.8 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 27.8 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | |
| Memory Bandwidth | 2,039 GB/s | 768 GB/s |
Performance Analysis
Key spec differences translate directly to workload suitability. The A100's 312 TFLOPS FP16 performance dwarfs the A5000's 27.8 TFLOPS, enabling faster AI model training where tensor core operations dominate; its FP32 of 19.5 TFLOPS lags behind the A5000's balanced 27.8 TFLOPS, which favors graphics rendering or FP32-heavy simulations. Memory bandwidth shows a stark gap: 2039 GB/s on A100 versus 768 GB/s on A5000, allowing A100 to handle larger batch sizes in deep learning without memory bottlenecks. The A100's 400W TDP supports sustained high loads in multi-GPU setups via NVLink, while the A5000's 230W suits power-constrained environments. In inference scenarios, A5000's higher VRAM efficiency per dollar and lower latency from PCIe form factor provide advantages for real-time tasks.
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 | 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 A5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
Vast.ai | 4×NVIDIA RTX A5000 24GB VRAM | 24GB | 64 vCPU 224GB RAM 2256GB Storage | Romania | $0.23/GPU/hr $0.92/hr total (4×) | Available | ||
Vast.ai | NVIDIA RTX A5000 24GB VRAM | 24GB | 32 vCPU 101GB RAM 101GB Storage | Iceland | $0.24/GPU/hr | Available | ||
Vast.ai | NVIDIA RTX A5000 24GB VRAM | 24GB | 128 vCPU 63GB RAM 523GB Storage | Czechia | $0.27/GPU/hr | Available | ||
 RunPod | NVIDIA RTX A5000 24GB VRAM | 24GB | 9 vCPU 25GB RAM | 🌍global | $0.27/GPU/hr | |||
 Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.41/GPU/hr $3.28/hr total (8×) |
When to Choose the A100 SXM4 40GB
Choose the A100 SXM4 40GB for large-scale AI training and HPC simulations requiring massive parallelism. Its 312 TFLOPS FP16 and 40 GB HBM2e VRAM excel in processing billion-parameter models with batch sizes limited only by 2039 GB/s bandwidth. Multi-node clusters benefit from NVLink and InfiniBand interconnects, justifying $1.00 to $2.53 per hour pricing.
When to Choose the RTX A5000
Opt for the RTX A5000 in cost-sensitive visualization, CAD, or lightweight AI inference deployments. Its 27.8 TFLOPS FP32 matches FP16 for balanced rendering tasks, and 24 GB GDDR6 suffices for most professional workflows at $0.03 to $0.44 per hour. Lower 230W TDP fits edge or single-node setups without NVLink dependency.
Use Cases
A100's 312 TFLOPS FP16 and 40 GB HBM2e VRAM enable training of large language models with substantial batch sizes. RTX A5000's 27.8 TFLOPS FP16 limits scalability for such workloads.
A100 handles high-throughput inference via 2039 GB/s bandwidth for concurrent requests. RTX A5000 suffices for lower volumes at 1/5th the cost with 24 GB VRAM.
A100's superior 40 GB VRAM and 312 TFLOPS FP16 accelerate fine-tuning on large models. A5000's 24 GB restricts dataset sizes.
RTX A5000's 27.8 TFLOPS FP32 excels in image generation pipelines with balanced compute. Lower pricing at $0.44 average per hour fits iterative creative tasks.
A100's 2039 GB/s bandwidth and NVLink support complex simulations with large datasets. Its 400W TDP sustains prolonged HPC runs.
Frequently Asked Questions
Which has more VRAM: A100 SXM4 40GB or RTX A5000?▾
The A100 SXM4 40GB provides 40 GB HBM2e VRAM, exceeding the RTX A5000's 24 GB GDDR6. This advantage supports larger models in AI training. Bandwidth further differentiates them at 2039 GB/s versus 768 GB/s.
Is A100 faster than RTX A5000 for AI training?▾
A100 achieves 312 TFLOPS FP16, over 11 times the RTX A5000's 27.8 TFLOPS, making it vastly superior for training. FP32 performance favors A5000 at 27.8 TFLOPS equal to its FP16. Memory bandwidth of 2039 GB/s on A100 enables bigger batches.
What is the price difference between A100 and RTX A5000 in cloud?▾
A100 SXM4 40GB starts at $1.00 per hour, averaging $2.53 across six providers. RTX A5000 begins at $0.03 per hour, averaging $0.44 across 32 offers. This gap suits budget-conscious inference over training.
Does RTX A5000 support NVLink like A100?▾
Both GPUs support NVLink for multi-GPU scaling, but A100 adds PCIe 4.0 and InfiniBand options. A100's SXM4 form factor optimizes datacenter interconnects. RTX A5000 relies on PCIe for workstation use.
Which GPU has higher power consumption?▾
A100 SXM4 40GB draws 400W TDP, double the RTX A5000's 230W. This reflects A100's datacenter focus on peak performance. Lower TDP makes A5000 viable for power-limited setups.
Can RTX A5000 replace A100 for deep learning?▾
RTX A5000 works for smaller deep learning tasks with 27.8 TFLOPS FP16 and 24 GB VRAM. A100's 312 TFLOPS and 40 GB outperform for demanding models. Cost savings favor A5000 at $0.44 average hourly rate.
Which is cheaper to rent, the A100 or the RTX A5000?▾
Cloud rental prices for both the A100 and RTX A5000 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 A5000?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX A5000 has 24 GB of GDDR6 memory.
Can I find A100 and RTX A5000 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 A5000?▾
The A100 uses the Ampere architecture (2020) while the RTX A5000 uses Ampere (2021). The A100 delivers 11.2x the FP16 throughput and 2.7x the memory bandwidth of the RTX A5000.