Specifications Compared
| Spec | A100 | RTX-6000-ADA |
|---|---|---|
| TDP | 400W | 300W |
| VRAM | 40-80 GB | 48 GB |
| CUDA Cores | 6,912 | 18,176 |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | NVLink |
| Tensor Cores | 432 | 568 |
| FP16 Performance | 312 TFLOPS | 91.1 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 91.1 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | 1.4 TFLOPS |
| INT8 Performance | 624 TOPS | 1,457 TOPS |
| Memory Bandwidth | 2,039 GB/s | 960 GB/s |
Performance Analysis
The A100's FP16 performance of 312 TFLOPS vastly outpaces the RTX 6000 Ada's 91.1 TFLOPS, making it superior for deep learning training where half-precision computations dominate. In contrast, the RTX 6000 Ada's equal 91.1 TFLOPS in FP32 enables better handling of single-precision tasks like simulations or graphics rendering, where the A100 trails at 19.5 TFLOPS. This FP16 to FP32 delta means the A100 accelerates model training phases by supporting larger effective throughputs in frameworks like PyTorch, while the RTX 6000 Ada suits inference or visualization with balanced precision needs. The A100's 2039 GB/s memory bandwidth, over twice the RTX 6000 Ada's 960 GB/s, allows significantly larger batch sizes in training runs, reducing overhead and improving utilization on datasets exceeding 40 GB. Lower bandwidth on the RTX 6000 Ada limits scalability for massive models but suffices for 48 GB workloads with smaller batches. Power efficiency tilts toward the RTX 6000 Ada at 300W versus 400W, enabling denser cloud deployments.
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 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 6000 Ada Generation
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 16 vCPU 188GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 10 vCPU 167GB RAM | 🌍global | $0.77/GPU/hr | |||
 Massed Compute | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 12 vCPU 72GB RAM 350GB Storage | Iowa | $0.79/GPU/hr | Available | ||
Massed Compute | 8×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 104 vCPU 640GB RAM 2800GB Storage | Iowa | $0.79/GPU/hr $6.32/hr total (8×) | Available | ||
Massed Compute | 4×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 52 vCPU 288GB RAM 1400GB Storage | Iowa | $0.79/GPU/hr $3.16/hr total (4×) | Available |
When to Choose the A100 SXM4 40GB
The A100 SXM4 40GB excels in large-scale AI training workloads requiring high FP16 throughput of 312 TFLOPS and 2039 GB/s bandwidth for handling models with datasets over 40 GB. It supports NVLink and InfiniBand interconnects ideal for multi-GPU clusters in cloud environments. Choose it when performance trumps cost, such as in enterprise research with $2.80 per hour average pricing justified by superior memory speed.
When to Choose the RTX 6000 Ada Generation
The RTX 6000 Ada Generation fits budget-conscious projects leveraging its 48 GB GDDR6 VRAM and balanced 91.1 TFLOPS FP16/FP32 for inference or fine-tuning. At $0.15 per hour from 49 cloud offers, it provides accessibility for individual developers or smaller teams. Its 300W TDP and PCIe form factor suit single-node graphics-heavy tasks like rendering alongside compute.
Use Cases
The A100's 312 TFLOPS FP16 and 2039 GB/s bandwidth handle massive LLM datasets and large batches efficiently. The RTX 6000 Ada's 91.1 TFLOPS limits scalability for full training runs.
The RTX 6000 Ada's 48 GB VRAM and 91.1 TFLOPS FP16 support high-throughput inference at lower $1.21 per hour costs. The A100's higher bandwidth provides marginal gains not worth the $2.80 premium for serving.
Fine-tuning smaller models fits both: A100 accelerates with 312 TFLOPS FP16, while RTX 6000 Ada's balance and 48 GB VRAM suffice at $0.15 per hour entry pricing.
The RTX 6000 Ada's 91.1 TFLOPS FP32 excels in image generation pipelines requiring graphics precision. Its 300W efficiency and PCIe form factor optimize creative workflows.
The A100's 2039 GB/s HBM2e bandwidth and NVLink support large simulations needing high memory throughput. The RTX 6000 Ada's 960 GB/s constrains complex scientific datasets.
Frequently Asked Questions
Which GPU has higher FP16 performance: A100 or RTX 6000 Ada?▾
The A100 SXM4 40GB achieves 312 TFLOPS in FP16, far exceeding the RTX 6000 Ada's 91.1 TFLOPS. This makes the A100 better for training-heavy AI tasks. The RTX 6000 Ada matches in FP32 at 91.1 TFLOPS.
How does memory bandwidth compare between A100 and RTX 6000 Ada?▾
The A100 offers 2039 GB/s with HBM2e, more than double the RTX 6000 Ada's 960 GB/s GDDR6 bandwidth. Higher bandwidth on the A100 supports larger batch sizes in ML training. The RTX 6000 Ada compensates with 48 GB capacity versus 40 GB.
What is the cloud pricing for these GPUs?▾
NVIDIA A100 SXM4 40GB starts at $1.00 per hour with an average of $2.80 across 4 offers. NVIDIA RTX 6000 Ada starts at $0.15 per hour averaging $1.21 across 49 offers. Availability favors the RTX 6000 Ada.
Which has more VRAM: A100 SXM4 40GB or RTX 6000 Ada?▾
The RTX 6000 Ada provides 48 GB GDDR6 VRAM, slightly more than the A100 SXM4 40GB HBM2e. However, the A100's memory type delivers superior speed at 2039 GB/s. Choose based on bandwidth needs over raw capacity.
Is the RTX 6000 Ada more power efficient than A100?▾
Yes, the RTX 6000 Ada has a 300W TDP compared to the A100's 400W. This enables better density in cloud instances. Performance per watt favors RTX for balanced workloads.
Can both GPUs use NVLink?▾
Both support NVLink interconnects for multi-GPU scaling. The A100 adds PCIe 4.0 and InfiniBand options. RTX 6000 Ada relies on PCIe form factor primarily.
Which is cheaper to rent, the A100 or the RTX 6000 Ada?▾
Cloud rental prices for both the A100 and RTX 6000 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 6000 Ada?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.
Can I find A100 and RTX 6000 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 6000 Ada?▾
The A100 uses the Ampere architecture (2020) while the RTX 6000 Ada uses Ada Lovelace (2022). The A100 delivers 3.4x the FP16 throughput and 2.1x the memory bandwidth of the RTX 6000 Ada.