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
The A100's 312 TFLOPS FP16 performance exceeds the RTX A5000's 27.8 TFLOPS by over 11 times: this disparity accelerates deep learning training, where half-precision tensor operations dominate model optimization. The A100's 19.5 TFLOPS FP32 trails the A5000's 27.8 TFLOPS slightly, favoring the latter for graphics rendering or FP32-heavy simulations.
Memory specs define workload feasibility. The A100's 2039 GB/s bandwidth and 80 GB VRAM enable massive batch sizes in LLM training, minimizing data loading bottlenecks and supporting models exceeding 24 GB. The RTX A5000's 768 GB/s and 24 GB limit it to smaller batches or models, increasing iteration times for large datasets.
For inference, A100's capacity handles high-concurrency serving of large models, while A5000 suits low-latency single-user tasks with its balanced FP32.
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 646GB Storage | Czechia | $1.07/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 80GB
Select the A100 SXM4 80GB for large-scale AI training or HPC simulations demanding 80 GB VRAM and 312 TFLOPS FP16. Its 2039 GB/s bandwidth and NVLink interconnect excel in multi-GPU clusters processing billion-parameter LLMs or complex fluid dynamics.
Cloud users prioritizing throughput over cost choose A100 when workloads exceed 24 GB memory, as in enterprise inference pipelines.
When to Choose the RTX A5000
Opt for the RTX A5000 in cost-sensitive scenarios like workstation visualization or small-scale ML with its $0.03 per hour starting price and 230W TDP. The 27.8 TFLOPS FP32 matches FP16, suiting Stable Diffusion generation or CAD rendering.
It fits fine-tuning compact models under 24 GB VRAM, where 768 GB/s bandwidth suffices without A100's overhead.
Use Cases
A100's 80 GB HBM2e VRAM and 312 TFLOPS FP16 handle billion-parameter models with large batches. RTX A5000's 24 GB GDDR6 limits scale.
A100 supports high-concurrency serving via 2039 GB/s bandwidth and massive VRAM. A5000 restricts to smaller models or low throughput.
RTX A5000 suffices for models under 24 GB at $0.44 per hour average. A100 accelerates larger fine-tunes with 312 TFLOPS FP16.
RTX A5000's balanced 27.8 TFLOPS FP32/FP16 and PCIe form factor optimize image generation. Lower 230W TDP aids single-workstation use.
A100's 2039 GB/s bandwidth and NVLink enable large simulations. Superior FP16 outperforms A5000 in parallel compute tasks.
Frequently Asked Questions
What is the VRAM difference between A100 SXM4 80GB and RTX A5000?▾
The A100 offers 80 GB HBM2e VRAM, triple the RTX A5000's 24 GB GDDR6. This enables A100 to load larger models without swapping. Bandwidth follows suit at 2039 GB/s versus 768 GB/s.
How do FP16 performances compare?▾
A100 achieves 312 TFLOPS FP16, over 11 times the RTX A5000's 27.8 TFLOPS. This gap favors A100 in AI training. FP32 is closer, with A100 at 19.5 TFLOPS and A5000 at 27.8 TFLOPS.
Which has lower cloud pricing?▾
RTX A5000 starts at $0.03 per hour, averaging $0.44 across 32 offers. A100 SXM4 80GB begins at $0.45, averaging $1.39 across 25 offers. A5000 suits budget tasks.
What are the TDP ratings?▾
A100 consumes 400W, reflecting datacenter design. RTX A5000 uses 230W, better for workstations. Lower TDP reduces cooling needs on A5000.
Can RTX A5000 use NVLink?▾
RTX A5000 supports NVLink for multi-GPU setups. A100 adds PCIe 4.0 and InfiniBand options. Both enable scaling, but A100 excels in clusters.
Is A100 better for LLM training?▾
Yes, A100's 80 GB VRAM and 312 TFLOPS FP16 outperform RTX A5000's limits. It handles full model training without truncation. A5000 fits prototyping.
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.