Specifications Compared
| Spec | RTX-3070 | RTX-A4000 |
|---|---|---|
| TDP | 220W | 140W |
| VRAM | 8 GB | 16 GB |
| CUDA Cores | 5,888 | 6,144 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 184 | 192 |
| FP16 Performance | 20.3 TFLOPS | 19.2 TFLOPS |
| FP32 Performance | 20.3 TFLOPS | 19.2 TFLOPS |
| Memory Bandwidth | 448 GB/s | 448 GB/s |
Performance Analysis
Compute throughput shows the RTX 3070 ahead at 20.3 TFLOPS FP32 versus 19.2 TFLOPS on the RTX A4000, implying up to 5 percent faster training or inference for models fitting within 8 GB VRAM. This FP16 and FP32 parity on each GPU supports mixed-precision workflows common in deep learning. Real-world training benefits from the RTX 3070's edge in smaller datasets, while inference latency improves marginally due to higher TFLOPS.
Memory capacity defines larger workloads: 16 GB on the RTX A4000 enables batch sizes double those of the RTX 3070's 8 GB, reducing per-iteration overhead in LLM fine-tuning. Identical 448 GB/s bandwidth ensures equivalent data throughput until VRAM limits bind. The RTX A4000's 140W TDP versus 220W allows denser cloud deployments, cutting power costs in multi-GPU setups.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX A4000
| 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 |
When to Choose the RTX 3070
The RTX 3070 suits cost-sensitive tasks with modest memory needs. At from $0.04 per hour and 20.3 TFLOPS FP32, it outperforms the RTX A4000 by 5 percent in inference for models under 8 GB VRAM, such as lightweight LLMs or image classification. Lower average pricing of $0.08 per hour across 6 offers maximizes hourly throughput for budget experimentation.
When to Choose the RTX A4000
The RTX A4000 fits memory-bound professional applications. Its 16 GB GDDR6 VRAM handles larger batches in training, avoiding out-of-memory errors common with the RTX 3070's 8 GB. The 140W TDP supports efficient scaling, and availability across 29 offers at from $0.08 per hour aids reliable deployments despite higher average $0.36 per hour.
Use Cases
The RTX A4000's 16 GB VRAM supports larger models and batches critical for LLM training, avoiding swaps that slow the RTX 3070's 8 GB setup. Identical 448 GB/s bandwidth ensures throughput scales with capacity.
RTX 3070's 20.3 TFLOPS FP32 exceeds the A4000's 19.2 TFLOPS, reducing latency for models fitting in 8 GB. Lower pricing from $0.04 per hour optimizes high-volume serving.
16 GB VRAM on RTX A4000 accommodates bigger datasets and gradients during fine-tuning, where RTX 3070's 8 GB limits batch sizes. Lower 140W TDP aids prolonged sessions.
Stable Diffusion demands over 8 GB VRAM for high-resolution generation; RTX A4000's 16 GB prevents artifacts. 448 GB/s bandwidth matches RTX 3070 but scales better.
Both offer similar 20+ TFLOPS FP32 and 448 GB/s bandwidth for simulations; choose RTX 3070 for cost at $0.04 per hour or A4000 for 16 GB datasets.
Frequently Asked Questions
Which GPU has more VRAM, RTX 3070 or RTX A4000?▾
The RTX A4000 provides 16 GB GDDR6 VRAM, double the RTX 3070's 8 GB. This enables larger models on the A4000. Bandwidth remains identical at 448 GB/s.
What are the cloud rental prices for these GPUs?▾
RTX 3070 starts at $0.04 per hour, averaging $0.08 per hour across 6 offers. RTX A4000 begins at $0.08 per hour, averaging $0.36 per hour across 29 offers. Prices reflect live market data.
How do FP32 performance levels compare?▾
RTX 3070 achieves 20.3 TFLOPS FP32, surpassing RTX A4000's 19.2 TFLOPS by about 5 percent. FP16 matches this delta on each. Results suit general compute tasks.
Which has lower power consumption?▾
RTX A4000 draws 140W TDP, versus 220W on RTX 3070. This favors A4000 in power-limited clouds. Both use PCIe form factor.
Are they the same generation?▾
Both employ Ampere architecture, RTX 3070 from 2020 and A4000 from 2021. Shared 448 GB/s bandwidth confirms parity. Differences center on VRAM and TDP.
Which is better for AI inference?▾
RTX 3070 edges out with 20.3 TFLOPS and $0.04 per hour pricing for sub-8 GB models. RTX A4000's 16 GB suits bigger ones. Select based on model size.
Which is cheaper to rent, the RTX 3070 or the RTX A4000?▾
Cloud rental prices for both the RTX 3070 and RTX A4000 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 RTX 3070 have compared to the RTX A4000?▾
The RTX 3070 has 8 GB of GDDR6 memory. The RTX A4000 has 16 GB of GDDR6 memory.
Can I find RTX 3070 and RTX A4000 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 RTX 3070 and the RTX A4000?▾
The RTX 3070 uses the Ampere architecture (2020) while the RTX A4000 uses Ampere (2021). The RTX 3070 delivers 1.1x the FP16 throughput and 1.0x the memory bandwidth of the RTX A4000.