Specifications Compared
| Spec | A40 | RTX-6000-ADA |
|---|---|---|
| TDP | 300W | 300W |
| VRAM | 48 GB | 48 GB |
| CUDA Cores | 10,752 | 18,176 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| Tensor Cores | 336 | 568 |
| FP16 Performance | 37.4 TFLOPS | 91.1 TFLOPS |
| FP32 Performance | 37.4 TFLOPS | 91.1 TFLOPS |
| FP64 Performance | 0.6 TFLOPS | 1.4 TFLOPS |
| INT8 Performance | 299 TOPS | 1,457 TOPS |
| Memory Bandwidth | 696 GB/s | 960 GB/s |
Performance Analysis
The RTX 6000 Ada demonstrates superior raw compute power over the A40. It delivers 91.1 TFLOPS in FP16 and FP32, more than double the A40's 37.4 TFLOPS, which translates to faster matrix multiplications essential for deep learning. This performance delta accelerates neural network training by reducing epoch times and enhances inference throughput for real-time applications.
Memory bandwidth marks another key distinction: the RTX 6000 Ada's 960 GB/s exceeds the A40's 696 GB/s by 38 percent. Higher bandwidth sustains larger batch sizes during training, minimizing data transfer bottlenecks and improving GPU utilization in memory-bound tasks like large language model processing. Both GPUs share 48 GB VRAM, sufficient for models up to billions of parameters, but the Ada's efficiency amplifies effective capacity.
Power efficiency aligns closely with identical 300W TDP ratings, ensuring comparable thermal and energy costs in multi-GPU setups via NVLink.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A40
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A4000 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Tallinn, Harjumaa | $0.08/GPU/hr | Available | ||
 Vast.ai | 8×NVIDIA RTX A4000 16GB VRAM | 16GB | 80 vCPU 201GB RAM 1698GB Storage | United Kingdom | $0.15/GPU/hr $1.17/hr total (8×) | Available | ||
 Hyperstack | 4×NVIDIA RTX A4000 16GB VRAM | 16GB | 16 vCPU 86GB RAM 500GB Storage | Norway | $0.15/GPU/hr $0.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA RTX A4000 16GB VRAM | 16GB | 8 vCPU 43GB RAM 200GB Storage | Norway | $0.15/GPU/hr $0.30/hr total (2×) | Available | ||
Hyperstack | NVIDIA RTX A4000 16GB VRAM | 16GB | 4 vCPU 21GB RAM 100GB Storage | Norway | $0.15/GPU/hr | Available |
RTX 6000 Ada
| 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 A40
The A40 proves suitable for budget-conscious deployments targeting its lowest cloud rate of $0.24/hr, particularly when legacy software tuned to Ampere architecture avoids recompilation overheads. It fits stable, production inference pipelines where the 37.4 TFLOPS suffices and fewer provider offers at 22 instances signal potential regional availability advantages.
When to Choose the RTX 6000 Ada
The RTX 6000 Ada excels in performance-critical workloads leveraging its 91.1 TFLOPS FP16 and FP32 rates, ideal for accelerating LLM training or high-throughput inference. With 960 GB/s bandwidth and broader availability across 50 cloud offers starting at $0.20/hr, it supports larger-scale AI projects at a lower average $1.20/hr cost.
Use Cases
The RTX 6000 Ada's 91.1 TFLOPS in FP16 outperforms the A40's 37.4 TFLOPS, reducing training times for large models. Higher 960 GB/s bandwidth supports bigger batches.
RTX 6000 Ada's 91.1 TFLOPS FP32 rate delivers faster token generation than A40's 37.4 TFLOPS. Both share 48 GB VRAM for model hosting.
Ada Lovelace architecture's 91.1 TFLOPS accelerates gradient computations over Ampere's 37.4 TFLOPS. 960 GB/s bandwidth handles dataset transfers efficiently.
RTX 6000 Ada's higher 91.1 TFLOPS speeds up diffusion steps compared to 37.4 TFLOPS. Increased bandwidth aids high-resolution image generation.
Both offer 48 GB VRAM and 300W TDP for simulations. Choose A40 at $0.24/hr low if Ampere compatibility matters; RTX 6000 Ada for 91.1 TFLOPS speed.
Frequently Asked Questions
Do the A40 and RTX 6000 Ada have the same VRAM?▾
Yes, both provide 48 GB GDDR6 VRAM, suitable for large AI models. This equality makes them comparable for memory-intensive tasks despite architectural differences.
Which GPU offers better performance?▾
The RTX 6000 Ada leads with 91.1 TFLOPS in FP16 and FP32, over twice the A40's 37.4 TFLOPS. This gap impacts training and inference speeds directly.
How do cloud prices compare?▾
RTX 6000 Ada starts at $0.20/hr averaging $1.20/hr across 50 offers, versus A40's $0.24/hr average $1.29/hr over 22 offers. Ada provides better value for most users.
Are TDPs identical?▾
Both GPUs consume 300W TDP, ensuring similar power and cooling requirements. This parity simplifies multi-GPU cluster designs.
What is the memory bandwidth difference?▾
RTX 6000 Ada achieves 960 GB/s, 38 percent higher than A40's 696 GB/s. Greater bandwidth reduces bottlenecks in batch processing.
Do both support NVLink?▾
Yes, NVLink interconnect is available on both for high-speed multi-GPU communication. PCIe form factors match for easy cloud integration.
Which is cheaper to rent, the A40 or the RTX 6000 Ada?▾
Cloud rental prices for both the A40 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 A40 have compared to the RTX 6000 Ada?▾
The A40 has 48 GB of GDDR6 memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.
Can I find A40 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 A40 and the RTX 6000 Ada?▾
The A40 uses the Ampere architecture (2020) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 6000 Ada delivers 2.4x the FP16 throughput and 1.4x the memory bandwidth of the A40.