Specifications Compared
| Spec | A40 | V100 |
|---|---|---|
| TDP | 300W | 300W |
| VRAM | 48 GB | 16-32 GB |
| CUDA Cores | 10,752 | 5,120 |
| Memory Type | GDDR6 | HBM2 |
| Architecture | Ampere | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | NVLink | NVLink, PCIe 3.0 |
| Tensor Cores | 336 | 640 |
| FP16 Performance | 37.4 TFLOPS | 125 TFLOPS |
| FP32 Performance | 37.4 TFLOPS | 15.7 TFLOPS |
| FP64 Performance | 0.6 TFLOPS | 7.8 TFLOPS |
| INT8 Performance | 299 TOPS | |
| Memory Bandwidth | 696 GB/s | 900 GB/s |
Performance Analysis
FP16 performance defines a clear leader: the V100 delivers 125 TFLOPS, far exceeding the A40's 37.4 TFLOPS, which accelerates mixed-precision training in deep learning pipelines where half-precision computations dominate.
FP32 capabilities reverse the advantage: A40 matches its FP16 at 37.4 TFLOPS against V100's 15.7 TFLOPS, supporting single-precision inference, scientific simulations, and tasks avoiding precision loss.
Memory specifications impact real-world scalability: A40's 48 GB GDDR6 enables larger batch sizes and model sizes than V100's maximum 32 GB HBM2, crucial for modern large language models. However, V100's 900 GB/s bandwidth outperforms A40's 696 GB/s, enhancing efficiency in memory-bound operations like data loading during training. Both maintain 300W TDP, equalizing power considerations.
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 | NVIDIA RTX A4000 16GB VRAM | 16GB | 4 vCPU 21GB RAM 100GB Storage | Norway | $0.15/GPU/hr | 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 |
V100
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Texas | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | New York City | $0.19/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Texas | $0.29/GPU/hr | Available | ||
TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | New York City | $0.29/GPU/hr | Available | ||
 Lambda Labs | 8×NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 88 vCPU 448GB RAM 6041GB Storage | Texas | $0.79/GPU/hr $6.32/hr total (8×) | Available |
When to Choose the A40
The A40 excels in scenarios demanding extensive VRAM: its 48 GB GDDR6 capacity accommodates large models that surpass the V100's 32 GB limit, such as serving expansive neural networks.
Balanced compute at 37.4 TFLOPS for both FP16 and FP32 suits inference-heavy deployments or FP32-dominant simulations, leveraging Ampere's 2020 architecture efficiencies over Volta.
When to Choose the V100
The V100 proves ideal for FP16-centric workloads: 125 TFLOPS performance significantly outpaces A40's 37.4 TFLOPS, optimizing mixed-precision training phases.
Superior 900 GB/s bandwidth and lower pricing from $0.10/hr support high-throughput, cost-sensitive tasks across abundant 72 cloud offers, especially where 16-32 GB HBM2 suffices.
Use Cases
A40's 48 GB VRAM supports expansive LLM datasets and batches unattainable on V100's 32 GB maximum. Balanced FP32 at 37.4 TFLOPS aids stable training convergence.
Inference for large language models requires substantial memory: A40's 48 GB GDDR6 exceeds V100's capacity. 37.4 TFLOPS FP32 ensures efficient single-precision serving.
Fine-tuning benefits from A40's 48 GB VRAM for holding base models and adapters. Ampere architecture provides 37.4 TFLOPS balance across precisions.
Image generation workloads demand high VRAM for high-resolution outputs: A40's 48 GB handles this superior to V100. 37.4 TFLOPS FP16 supports rapid iterations.
V100's 125 TFLOPS FP16 and 900 GB/s bandwidth accelerate compute-intensive simulations. Lower $0.10/hr pricing fits budget-constrained research.
Frequently Asked Questions
Which GPU has more VRAM: A40 or V100?▾
The A40 features 48 GB GDDR6 VRAM. The V100 provides 16-32 GB HBM2. A40's capacity better serves memory-constrained large models.
Is the V100 faster than the A40?▾
V100 achieves 125 TFLOPS FP16 versus A40's 37.4 TFLOPS, excelling in half-precision tasks. A40 leads FP32 at 37.4 TFLOPS over V100's 15.7 TFLOPS. Selection hinges on workload precision.
What are the cloud pricing differences between A40 and V100?▾
A40 pricing starts from $0.24/hr, averaging $1.26/hr across 23 offers. V100 begins at $0.10/hr, averaging $0.94/hr over 72 offers. V100 offers greater affordability and availability.
A40 vs V100 for machine learning training?▾
V100's 125 TFLOPS FP16 accelerates mixed-precision training. A40's 48 GB VRAM handles larger contemporary models. Both share 300W TDP.
Do A40 and V100 have the same power draw?▾
Both GPUs consume 300W TDP. This parity simplifies power budgeting in cloud instances. Form factors differ: A40 PCIe, V100 SXM2 or PCIe.
Which has higher memory bandwidth?▾
V100 provides 900 GB/s with HBM2. A40 delivers 696 GB/s GDDR6. V100 edges out in bandwidth-intensive scenarios.
Which is cheaper to rent, the A40 or the V100?▾
Cloud rental prices for both the A40 and V100 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 V100?▾
The A40 has 48 GB of GDDR6 memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find A40 and V100 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 V100?▾
The A40 uses the Ampere architecture (2020) while the V100 uses Volta (2017). The V100 delivers 3.3x the FP16 throughput and 1.3x the memory bandwidth of the A40.