Specifications Compared
| Spec | A100 | RTX-5000-ADA |
|---|---|---|
| TDP | 400W | 250W |
| VRAM | 40-80 GB | 32 GB |
| CUDA Cores | 6,912 | 12,800 |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | 400 |
| FP16 Performance | 312 TFLOPS | 65.3 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 65.3 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | 1,044 TOPS |
| Memory Bandwidth | 2,039 GB/s | 576 GB/s |
Performance Analysis
FP16 performance defines training advantages: the A100 achieves 312 TFLOPS, enabling faster matrix multiplications in deep learning compared to the RTX 5000 Ada's 65.3 TFLOPS. Inference benefits from high throughput too, as A100 handles larger models with its 80 GB VRAM versus 32 GB. The A100's FP32 rate of 19.5 TFLOPS lags the RTX 5000 Ada's 65.3 TFLOPS, making the latter preferable for FP32-dominant simulations.
Memory bandwidth impacts batch sizes directly: A100's 2039 GB/s supports massive datasets without bottlenecks, ideal for training large language models, while RTX 5000 Ada's 576 GB/s limits scalability in memory-intensive inference. Power draw reflects efficiency: A100 at 400W TDP suits dense clusters, RTX 5000 Ada at 250W fits edge or cost-conscious setups. Overall, A100 excels in bandwidth-bound AI workloads; RTX 5000 Ada balances general compute.
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 | 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 | ||
 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×) | |||
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 5000 Ada Generation
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.55/GPU/hr | Available | ||
 RunPod | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 10 vCPU 83GB RAM | 🌍global | $0.83/GPU/hr |
When to Choose the A100 SXM4 80GB
Choose the A100 SXM4 80GB for large-scale AI training and inference: its 80 GB HBM2e VRAM accommodates models exceeding 32 GB, and 2039 GB/s bandwidth sustains high batch sizes. NVLink and InfiniBand interconnects enable multi-GPU scaling unavailable on RTX 5000 Ada, critical for distributed training across nodes.
When to Choose the RTX 5000 Ada Generation
Select the RTX 5000 Ada Generation for cost-effective graphics and visualization: pricing starts at $0.25 per hour with 250W TDP, versus A100's $0.45 and 400W. Balanced 65.3 TFLOPS FP32 and FP16 performance suits CAD, rendering, and lighter ML fine-tuning without datacenter overhead.
Use Cases
A100's 312 TFLOPS FP16 and 80 GB VRAM handle massive parameter counts and large batches. RTX 5000 Ada's 32 GB limits model scale.
2039 GB/s bandwidth on A100 supports high-throughput serving of large models. RTX 5000 Ada's 576 GB/s constrains batch sizes.
80 GB VRAM fits full model loading during fine-tuning. A100's FP16 edge accelerates iterations over RTX 5000 Ada's capacity.
RTX 5000 Ada's Ada Lovelace architecture and 65.3 TFLOPS FP32 optimize image generation pipelines. Lower $0.25 per hour pricing suits iterative creative tasks.
A100 excels in FP16-heavy simulations with 312 TFLOPS; RTX 5000 Ada matches FP32 needs at 65.3 TFLOPS for balanced HPC codes.
Frequently Asked Questions
What is the VRAM difference between A100 SXM4 80GB and RTX 5000 Ada?▾
A100 provides 80 GB HBM2e VRAM, doubling RTX 5000 Ada's 32 GB GDDR6. This enables A100 to load larger models without swapping. Bandwidth follows suit: 2039 GB/s versus 576 GB/s.
Which GPU has better FP16 performance?▾
A100 delivers 312 TFLOPS FP16, far exceeding RTX 5000 Ada's 65.3 TFLOPS. This gap accelerates AI training on A100. FP32 reverses: A100 at 19.5 TFLOPS trails 65.3 TFLOPS.
How do cloud prices compare?▾
RTX 5000 Ada starts at $0.25 per hour (average $0.51 across 5 offers), cheaper than A100's $0.45 (average $1.39 across 25 offers). A100 justifies cost with datacenter features. Availability favors A100 with more providers.
What are the power requirements?▾
A100 SXM4 80GB draws 400W TDP, suited for racks. RTX 5000 Ada uses 250W, easing deployment in varied hosts. Lower TDP reduces cooling needs on RTX.
Can RTX 5000 Ada replace A100 in multi-GPU setups?▾
No, RTX 5000 Ada lacks NVLink and relies on PCIe, limiting scaling. A100 supports NVLink, PCIe 4.0, and InfiniBand for clusters. Single-node tasks may interchange.
Which architecture is newer?▾
RTX 5000 Ada uses 2023 Ada Lovelace, post-A100's 2020 Ampere. Newer shaders benefit graphics on RTX. Ampere optimizes tensor cores for A100's AI focus.
Which is cheaper to rent, the A100 or the RTX 5000 Ada?▾
Cloud rental prices for both the A100 and RTX 5000 Ada 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 5000 Ada?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX 5000 Ada has 32 GB of GDDR6 memory.
Can I find A100 and RTX 5000 Ada 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 5000 Ada?▾
The A100 uses the Ampere architecture (2020) while the RTX 5000 Ada uses Ada Lovelace (2023). The A100 delivers 4.8x the FP16 throughput and 3.5x the memory bandwidth of the RTX 5000 Ada.