Specifications Compared
| Spec | A100 | QUADRO-RTX-6000 |
|---|---|---|
| TDP | 400W | 260W |
| VRAM | 40-80 GB | 24 GB |
| CUDA Cores | 6,912 | 4,608 |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Ampere | Turing |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | NVLink |
| Tensor Cores | 432 | 576 |
| FP16 Performance | 312 TFLOPS | 16.3 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 16.3 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | |
| Memory Bandwidth | 2,039 GB/s | 672 GB/s |
Performance Analysis
The A100 PCIe 80GB delivers vastly superior compute performance for machine learning: its FP16 throughput of 312 TFLOPS is nearly 19 times the Quadro RTX 6000's 16.3 TFLOPS, accelerating tensor operations in training and inference. FP32 performance edges out slightly at 19.5 TFLOPS versus 16.3 TFLOPS, benefiting general-purpose computing tasks.
Memory capacity and bandwidth define workload scalability: the A100's 80 GB HBM2e VRAM supports larger models and batch sizes than the Quadro RTX 6000's 24 GB GDDR6, while 2039 GB/s bandwidth versus 672 GB/s reduces data bottlenecks in memory-intensive operations like LLM fine-tuning.
Power efficiency differs with the A100's 400W TDP compared to 260W, reflecting datacenter cooling needs against workstation constraints. Interconnects include NVLink and PCIe 4.0 on the A100, versus NVLink on the Quadro RTX 6000, enabling better multi-GPU scaling for distributed training.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 PCIe 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×) |
When to Choose the A100 PCIe 80GB
Choose the A100 PCIe 80GB for AI and HPC workloads requiring high VRAM and throughput: its 80 GB HBM2e handles large language models, while 312 TFLOPS FP16 speeds training iterations. Cloud pricing from $0.89 per hour suits scalable deployments across 28 offers.
It excels in scenarios demanding 2039 GB/s bandwidth for massive batch sizes, unavailable on the Quadro RTX 6000.
When to Choose the Quadro RTX 6000
Select the Quadro RTX 6000 for professional visualization and CAD where 24 GB GDDR6 VRAM suffices and lower 260W TDP fits workstation power budgets. Its Turing architecture supports real-time rendering at 16.3 TFLOPS FP32, adequate for non-AI tasks without datacenter overhead.
It remains viable for legacy on-premises setups lacking cloud availability.
Use Cases
The A100 PCIe 80GB's 312 TFLOPS FP16 and 80 GB HBM2e VRAM handle massive datasets and large models efficiently. The Quadro RTX 6000's 16.3 TFLOPS and 24 GB limit scalability.
High memory bandwidth of 2039 GB/s on the A100 supports large batch inference. Quadro RTX 6000's 672 GB/s bandwidth constrains throughput.
A100's 80 GB VRAM accommodates full model fine-tuning; 19.5 TF32 TFLOPS aids precision tasks. Quadro RTX 6000 requires model sharding with only 24 GB.
A100's FP16 performance at 312 TFLOPS generates images faster with larger resolutions. Quadro RTX 6000's 16.3 TFLOPS suits basic use but slows iteration.
2039 GB/s bandwidth and PCIe 4.0/NVLink on A100 accelerate simulations. Quadro RTX 6000's older interconnects hinder multi-GPU performance.
Frequently Asked Questions
How much faster is the A100 PCIe 80GB than the Quadro RTX 6000 in FP16?▾
The A100 achieves 312 TFLOPS FP16, approximately 19 times the Quadro RTX 6000's 16.3 TFLOPS. This gap accelerates AI workloads significantly. FP32 is closer at 19.5 TFLOPS versus 16.3 TFLOPS.
What is the VRAM difference between A100 PCIe 80GB and Quadro RTX 6000?▾
A100 offers 80 GB HBM2e VRAM; Quadro RTX 6000 has 24 GB GDDR6. This enables larger models on A100. Bandwidth is 2039 GB/s versus 672 GB/s.
What are the power requirements for these GPUs?▾
A100 PCIe 80GB has a 400W TDP for datacenter use. Quadro RTX 6000 consumes 260W, suiting workstations. Higher TDP correlates with A100's performance.
Is cloud pricing available for these GPUs?▾
A100 PCIe 80GB starts at $0.89 per hour, averaging $2.08 across 28 offers. Quadro RTX 6000 has no live cloud offers. A100 provides flexible scaling.
What architectures do they use?▾
A100 PCIe 80GB uses Ampere from 2020 with advanced tensor cores. Quadro RTX 6000 employs Turing from 2018 for professional graphics. Ampere excels in AI.
Do both support NVLink?▾
Both GPUs include NVLink for multi-GPU communication. A100 adds PCIe 4.0 and InfiniBand options. This aids scaling on A100 for clusters.
Which is cheaper to rent, the A100 or the Quadro RTX 6000?▾
Cloud rental prices for both the A100 and Quadro RTX 6000 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 6000?▾
The A100 has 40 to 80 GB of HBM2e memory. The Quadro RTX 6000 has 24 GB of GDDR6 memory.
Can I find A100 and Quadro RTX 6000 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 6000?▾
The A100 uses the Ampere architecture (2020) while the Quadro RTX 6000 uses Turing (2018). The A100 delivers 19.1x the FP16 throughput and 3.0x the memory bandwidth of the Quadro RTX 6000.


