Specifications Compared
| Spec | A40 | RTX-4070 |
|---|---|---|
| TDP | 300W | 200W |
| VRAM | 48 GB | 12 GB |
| CUDA Cores | 10,752 | 5,888 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 336 | 184 |
| FP16 Performance | 37.4 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 37.4 TFLOPS | 29.1 TFLOPS |
| FP64 Performance | 0.6 TFLOPS | |
| INT8 Performance | 299 TOPS | 466 TOPS |
| Memory Bandwidth | 696 GB/s | 504 GB/s |
Performance Analysis
RTX 4070 Ti SUPER holds a compute edge with 44.1 TFLOPS in FP16 and FP32 over A40's 37.4 TFLOPS: this yields approximately 18 percent faster processing for AI training and inference using mixed precision arithmetic. In LLM training, higher FP16 performance speeds gradient computations and model updates. Inference workloads see quicker latency for batched predictions on the RTX 4070 Ti SUPER. A40's 48 GB VRAM capacity dominates for large models: it supports bigger batch sizes or models up to 48 GB without offloading, unlike RTX 4070 Ti SUPER's 16 GB limit. Memory bandwidth impacts data throughput: A40's 696 GB/s versus 672 GB/s enables marginally larger batches before saturation in memory-bound tasks like fine-tuning. TDP at 300W for A40 and 285W for RTX 4070 Ti SUPER indicates similar power draw, but Ada's newer design improves efficiency per watt.
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 |
RTX 4070 Ti SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the A40
A40 suits memory-intensive workloads: its 48 GB GDDR6 VRAM handles large LLMs or high-resolution simulations fitting poorly in 16 GB. NVLink interconnect facilitates multi-GPU scaling with high-bandwidth links, ideal for distributed training across multiple A40s. Abundant cloud availability (24 offers from $0.24/hr) ensures reliability for enterprise production runs.
When to Choose the RTX 4070 Ti SUPER
RTX 4070 Ti SUPER fits budget-driven projects: pricing from $0.09/hr (average $0.17/hr across 2 offers) undercuts A40's higher costs. Its 44.1 TFLOPS FP16/FP32 outperforms A40 by 18 percent for tasks within 16 GB VRAM, such as fine-tuning 7B models or Stable Diffusion. Ada Lovelace architecture delivers superior ray tracing and efficiency for creative AI applications.
Use Cases
A40's 48 GB VRAM supports large models and batch sizes critical for LLM training. NVLink enables efficient multi-GPU communication.
RTX 4070 Ti SUPER's 44.1 TFLOPS accelerates small-model inference within 16 GB. A40's 48 GB handles oversized models.
RTX 4070 Ti SUPER provides 44.1 TFLOPS at $0.09/hr for efficient mid-size model fine-tuning. Its Ada architecture optimizes mixed precision.
16 GB GDDR6X and 672 GB/s bandwidth suffice for image generation. Lower $0.17/hr average cost enhances accessibility.
48 GB VRAM manages large datasets in simulations. NVLink scales complex computations across GPUs.
Frequently Asked Questions
Which GPU has more VRAM: A40 or RTX 4070 Ti SUPER?▾
NVIDIA A40 features 48 GB GDDR6 VRAM. RTX 4070 Ti SUPER has 16 GB GDDR6X. A40 better serves large-model workloads.
How do compute performances compare?▾
RTX 4070 Ti SUPER delivers 44.1 TFLOPS in FP16 and FP32. A40 provides 37.4 TFLOPS in both. RTX 4070 Ti SUPER offers 18 percent higher throughput.
What are the cloud pricing differences?▾
RTX 4070 Ti SUPER starts at $0.09/hr, average $0.17/hr across 2 offers. A40 begins at $0.24/hr, average $1.28/hr across 24 offers. Ti SUPER provides lower costs.
Does the A40 support multi-GPU interconnects?▾
A40 includes NVLink for high-speed GPU-to-GPU links. RTX 4070 Ti SUPER lacks this feature. NVLink aids distributed training.
What are the TDPs of these GPUs?▾
A40 has 300W TDP. RTX 4070 Ti SUPER uses 285W TDP. Both fit standard PCIe power envelopes.
Which has higher memory bandwidth?▾
A40 achieves 696 GB/s bandwidth. RTX 4070 Ti SUPER reaches 672 GB/s. Difference minimally affects most batch sizes.
Which is cheaper to rent, the A40 or the RTX 4070?▾
Cloud rental prices for both the A40 and RTX 4070 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 4070?▾
The A40 has 48 GB of GDDR6 memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find A40 and RTX 4070 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 4070?▾
The A40 uses the Ampere architecture (2020) while the RTX 4070 uses Ada Lovelace (2023). The A40 delivers 1.3x the FP16 throughput and 1.4x the memory bandwidth of the RTX 4070.