Specifications Compared
| Spec | A40 | RTX 4000 Ada |
|---|---|---|
| TDP | 300W | 130W |
| VRAM | 48 GB | 20 GB |
| CUDA Cores | 10,752 | 6,144 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Ada Lovelace |
| FP16 (dense) | 149.7 TFLOPS | Not published |
| Form Factors | PCIe | PCIe |
| INT8 (dense) | 299.3 TOPS | Not published |
| Interconnect | NVLink, PCIe 4.0 | PCIe 4.0 |
| Tensor Cores | 336 | 192 |
| FP32 Performance | 37.4 TFLOPS | 26.7 TFLOPS |
| Memory Bandwidth | 696 GB/s | 360 GB/s |
| FP8 (with sparsity) | Not published | 427.6 TFLOPS |
| FP16 (with sparsity) | 299.4 TFLOPS | Not published |
| INT8 (with sparsity) | 598.6 TOPS | Not published |
Performance Analysis
The A40 records 37.4 TFLOPS FP32 while the RTX 4000 Ada records 26.7 TFLOPS FP32. This FP32 difference indicates the A40 sustains larger batch sizes during training or inference when memory bandwidth of 696 GB/s versus 360 GB/s becomes the limiting factor. The A40 further lists dense FP16 performance of 149.7 TFLOPS and FP16 performance with sparsity of 299.4 TFLOPS whereas the RTX 4000 Ada lists no FP16 figures and instead lists FP8 performance with sparsity of 427.6 TFLOPS.
Current On-Demand Offers
Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.
A40
| Provider | Region | GPUs | Per GPU / hr | Instance / hr | Deploy |
|---|---|---|---|---|---|
| LeaderGPU | The Netherlands | 8 | $0.52 | $4.13 | Deploy |
| RunPod | global | 1 | $0.59 | — | Deploy |
2 providers in stock, 2 offers. All A40 offers, price history and alerts
RTX 4000 Ada
RTX 4000 Ada is not offered on-demand by any provider we track right now. See the RTX 4000 Ada rental page for last-seen listed prices and a price alert.
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When to Choose the A40
The A40 suits workloads that require 48 GB memory capacity and 696 GB/s bandwidth such as large model training or scientific computing. Its 37.4 TFLOPS FP32 and NVLink interconnect further support multi GPU scaling where the 300 W TDP remains acceptable.
When to Choose the RTX 4000 Ada
The RTX 4000 Ada suits power constrained environments that operate within a 130 W TDP and require only 20 GB memory. Its 26.7 TFLOPS FP32 remains adequate for lighter inference or fine tuning tasks that fit inside the listed 360 GB/s bandwidth.
Use Cases
The A40 supplies 48 GB memory and 696 GB/s bandwidth that accommodate larger models than the 20 GB and 360 GB/s of the RTX 4000 Ada.
The A40 provides 149.7 TFLOPS dense FP16 and 299.3 TOPS dense INT8 that exceed the published figures of the RTX 4000 Ada for sustained inference throughput.
Both GPUs deliver sufficient FP32 performance with the A40 at 37.4 TFLOPS and the RTX 4000 Ada at 26.7 TFLOPS for moderate fine tuning workloads.
The RTX 4000 Ada operates at 130 W TDP and supplies 427.6 TFLOPS FP8 with sparsity that fits many image generation pipelines within lower power limits.
The A40 lists 37.4 TFLOPS FP32 together with 48 GB memory and NVLink that support large scale simulations beyond the RTX 4000 Ada capabilities.
Frequently Asked Questions
How does FP32 performance compare between the A40 and RTX 4000 Ada?▾
The A40 delivers 37.4 TFLOPS FP32 and the RTX 4000 Ada delivers 26.7 TFLOPS FP32. The higher figure on the A40 supports faster execution of compute bound scientific workloads.
Which GPU offers higher memory bandwidth?▾
The A40 offers 696 GB/s while the RTX 4000 Ada offers 360 GB/s. Higher bandwidth on the A40 permits larger batch sizes during training and inference.
Does the A40 support NVLink?▾
The A40 supports NVLink interconnect in addition to PCIe 4.0. The RTX 4000 Ada supports PCIe 4.0 only.
What are the TDP ratings of each GPU?▾
The A40 lists a 300 W TDP and the RTX 4000 Ada lists a 130 W TDP. Lower power draw on the RTX 4000 Ada reduces cooling and electricity requirements in dense deployments.
Which is cheaper to rent, the A40 or the RTX 4000 Ada?▾
Cloud rental prices for both the A40 and RTX 4000 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 4000 Ada?▾
The A40 has 48 GB of GDDR6 memory. The RTX 4000 Ada has 20 GB of GDDR6 memory.
Can I find A40 and RTX 4000 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 4000 Ada?▾
The A40 uses the Ampere architecture (2020) while the RTX 4000 Ada uses Ada Lovelace (2023). The A40 has 48 GB of GDDR6 at 696 GB/s; the RTX 4000 Ada has 20 GB of GDDR6 at 360 GB/s, so the A40 has 1.9x the memory bandwidth of the RTX 4000 Ada.
Rent these GPUs
Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.
Related comparisons
How this page is made
- Specifications come from the NVIDIA, AMD and Intel datasheets for the A40 and the RTX 4000 Ada. Dense and sparse throughput are listed separately.
- Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
- The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
- Read how we collect the data, or report an error on this page.
Next steps
- Rent A40Every current offer by provider, daily price history and a price alert.
- Rent RTX 4000 ADAEvery current offer by provider, daily price history and a price alert.
- GPU price indexHow on-demand prices for the major GPUs have moved, updated daily.
- All GPUsEvery GPU we track, with current lows and provider counts.