Specifications Compared
| Spec | A100 | QUADRO-RTX-4000 |
|---|---|---|
| TDP | 400W | 160W |
| VRAM | 40-80 GB | 8 GB |
| CUDA Cores | 6,912 | 2,304 |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Ampere | Turing |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | 288 |
| FP16 Performance | 312 TFLOPS | 7.1 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 7.1 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | |
| Memory Bandwidth | 2,039 GB/s | 416 GB/s |
Performance Analysis
The A100 PCIe 40GB outperforms the Quadro RTX 4000 dramatically in compute: 312 TFLOPS FP16 versus 7.1 TFLOPS enables faster AI model training, where half-precision accelerates matrix operations by over 40 times. FP32 at 19.5 TFLOPS on the A100 supports precise scientific simulations, doubling the Quadro's 7.1 TFLOPS for tasks needing full precision.
Memory specs dictate real-world limits. The A100's 40 GB HBM2e VRAM and 2039 GB/s bandwidth allow large batch sizes in deep learning, processing models with billions of parameters without swapping. The Quadro's 8 GB GDDR6 and 416 GB/s restrict it to smaller batches, causing bottlenecks in memory-intensive inference.
Power efficiency varies by workload. The A100's 400W TDP suits sustained high-throughput in clusters via NVLink and PCIe 4.0, while the Quadro's 160W PCIe form factor favors single-node, low-power professional rendering, though it lacks advanced interconnects.
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 | 4×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 512GB RAM 7600GB Storage | Virginia | $1.15/GPU/hr $4.60/hr total (4×) |
Quadro RTX 4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.56/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $0.56/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.56/GPU/hr $1.12/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.56/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.56/GPU/hr $1.12/hr total (2×) | Available |
When to Choose the A100 PCIe 40GB
Choose the NVIDIA A100 PCIe 40GB for large-scale AI training and inference. Its 312 TFLOPS FP16 and 40 GB VRAM handle massive datasets and models, enabling batch sizes infeasible on the Quadro's 8 GB. Cloud pricing from $0.60/hr supports scalable deployments across 11 offers.
High-performance computing benefits from the A100's 2039 GB/s bandwidth and 19.5 TFLOPS FP32, ideal for simulations requiring high memory throughput.
When to Choose the Quadro RTX 4000
Select the NVIDIA Quadro RTX 4000 for budget workstation tasks like CAD and 3D rendering. At $0.56/hr average across 5 offers, its 160W TDP and 8 GB VRAM suffice for professional visualization without datacenter overhead.
Light AI prototyping fits the Quadro's 7.1 TFLOPS FP16/FP32, where cost savings outweigh the A100's superior scale for small models.
Use Cases
The A100's 312 TFLOPS FP16 and 40 GB HBM2e VRAM support large-batch training of billion-parameter LLMs. The Quadro's 7.1 TFLOPS and 8 GB limit it to tiny models.
A100's 2039 GB/s bandwidth enables high-throughput serving with large batches. Quadro's 416 GB/s causes delays for production-scale inference.
40 GB VRAM on A100 fits full model fine-tuning; 8 GB on Quadro requires heavy quantization or gradient checkpointing.
Quadro's 7.1 TFLOPS FP16 handles basic image generation at $0.56/hr. A100's 312 TFLOPS accelerates batch training of diffusion models.
A100's 19.5 TFLOPS FP32 and NVLink excel in parallel simulations. Quadro's 7.1 TFLOPS suits single-node analysis only.
Frequently Asked Questions
What is the VRAM difference between A100 PCIe 40GB and Quadro RTX 4000?▾
The A100 PCIe 40GB has 40 GB HBM2e VRAM, five times the Quadro RTX 4000's 8 GB GDDR6. This allows larger models on A100 without memory errors. Bandwidth reaches 2039 GB/s on A100 versus 416 GB/s on Quadro.
Which has better FP16 performance for AI training?▾
A100 delivers 312 TFLOPS FP16, 44 times the Quadro RTX 4000's 7.1 TFLOPS. This accelerates deep learning training significantly. FP32 is 19.5 TFLOPS on A100 versus 7.1 TFLOPS on Quadro.
How do cloud prices compare?▾
A100 PCIe 40GB starts at $0.60/hr, average $1.85/hr across 11 offers. Quadro RTX 4000 is $0.56/hr average across 5 offers. Pricing reflects performance disparity.
Is Quadro RTX 4000 good for machine learning?▾
Quadro RTX 4000's 7.1 TFLOPS and 8 GB VRAM suit prototyping small models. It falls short for production due to limited bandwidth of 416 GB/s. A100 excels with 312 TFLOPS FP16.
What are the power requirements?▾
A100 PCIe 40GB has 400W TDP for high-throughput tasks. Quadro RTX 4000 uses 160W, better for low-power workstations. Both use PCIe form factors.
Which architecture is newer?▾
A100 uses Ampere from 2020 with NVLink support. Quadro RTX 4000 is Turing from 2018. Ampere provides tensor cores optimized for AI.
Which is cheaper to rent, the A100 or the Quadro RTX 4000?▾
Cloud rental prices for both the A100 and Quadro RTX 4000 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 Quadro RTX 4000?▾
The A100 has 40 to 80 GB of HBM2e memory. The Quadro RTX 4000 has 8 GB of GDDR6 memory.
Can I find A100 and Quadro RTX 4000 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 Quadro RTX 4000?▾
The A100 uses the Ampere architecture (2020) while the Quadro RTX 4000 uses Turing (2018). The A100 delivers 43.9x the FP16 throughput and 4.9x the memory bandwidth of the Quadro RTX 4000.