Specifications Compared
| Spec | A10 | RTX-4070 |
|---|---|---|
| TDP | 150W | 200W |
| VRAM | 24 GB | 12 GB |
| CUDA Cores | 9,216 | 5,888 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 288 | 184 |
| FP16 Performance | 31.2 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 31.2 TFLOPS | 29.1 TFLOPS |
| INT8 Performance | 250 TOPS | 466 TOPS |
| Memory Bandwidth | 600 GB/s | 504 GB/s |
Performance Analysis
Raw compute capability appears closely matched: the A10 achieves 31.2 TFLOPS in FP16 and FP32, compared to 29.1 TFLOPS for the RTX 4070 Ti SUPER. This parity suggests similar training speeds for models using half-precision or single-precision arithmetic, with minimal throughput gaps in standard deep learning pipelines. Inference tasks also benefit from comparable FLOPS, though real-world efficiency hinges on software optimization for each architecture. The A10's superior 24 GB VRAM doubles the RTX 4070 Ti SUPER's 12 GB, enabling larger batch sizes in training without out-of-memory errors for models exceeding 12 GB footprint. Higher memory bandwidth of 600 GB/s on the A10 versus 504 GB/s reduces data transfer bottlenecks, supporting bigger batches and faster iteration in memory-bound scenarios like large language model fine-tuning. Power draw differs at 150W TDP for the A10 against 200W for the RTX 4070 Ti SUPER, potentially allowing denser deployments for the former in power-constrained clouds.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A10
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 10×NVIDIA A10 24GB VRAM | 24GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.60/GPU/hr $6.00/hr total (10×) | Available | ||
 Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 769GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 5672GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
LeaderGPU | 8×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.90/GPU/hr $7.20/hr total (8×) | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 126GB RAM 1114GB Storage | Czechia | $1.00/GPU/hr $2.00/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 A10
Opt for the NVIDIA A10 in memory-intensive workloads such as training large language models requiring over 12 GB VRAM. Its 24 GB capacity and 600 GB/s bandwidth handle substantial batch sizes without fragmentation issues common on the RTX 4070 Ti SUPER's 12 GB limit. Datacenter reliability and lower 150W TDP further suit prolonged professional compute sessions.
When to Choose the RTX 4070 Ti SUPER
Select the NVIDIA GeForce RTX 4070 Ti SUPER for cost-sensitive applications where 12 GB VRAM suffices, such as inference on mid-sized models. At $0.09 per hour average $0.17, it delivers near-identical 29.1 TFLOPS performance to the A10's 31.2 TFLOPS at a fraction of the $1.06 hourly cost. Ada Lovelace architecture enhances efficiency in generative tasks like Stable Diffusion.
Use Cases
The A10's 24 GB VRAM supports larger models and batch sizes compared to the RTX 4070 Ti SUPER's 12 GB limit. Higher 600 GB/s bandwidth minimizes bottlenecks during extensive training runs.
The RTX 4070 Ti SUPER's 29.1 TFLOPS matches the A10's 31.2 TFLOPS closely for inference throughput. Its $0.09 per hour pricing enables scalable deployments on models fitting within 12 GB VRAM.
Both GPUs offer similar 30 TFLOPS FP16/FP32 performance for fine-tuning tasks. Choose A10 for datasets needing 24 GB VRAM or RTX 4070 Ti SUPER to minimize costs at $0.17 average per hour.
Ada Lovelace architecture on the RTX 4070 Ti SUPER optimizes generative AI with 29.1 TFLOPS and 504 GB/s bandwidth. Lower $0.09 per hour pricing suits high-volume image generation within 12 GB VRAM.
The A10's 24 GB VRAM and 600 GB/s bandwidth excel in simulations with large datasets. Its 150W TDP supports efficient multi-GPU scientific clusters.
Frequently Asked Questions
Which GPU has more VRAM: A10 or RTX 4070 Ti SUPER?▾
The NVIDIA A10 provides 24 GB GDDR6 VRAM, double the NVIDIA GeForce RTX 4070 Ti SUPER's 12 GB GDDR6X. This advantage benefits memory-heavy tasks like large model training. Bandwidth also favors the A10 at 600 GB/s over 504 GB/s.
What are the cloud rental prices for these GPUs?▾
NVIDIA A10 pricing starts at $0.60 per hour with an average of $1.06 across three offers. The RTX 4070 Ti SUPER is cheaper at $0.09 per hour average $0.17 across two offers. Price drives most comparisons for cloud workloads.
How do FP16 performances compare?▾
The A10 delivers 31.2 TFLOPS FP16, slightly ahead of the RTX 4070 Ti SUPER's 29.1 TFLOPS. This close match implies similar half-precision training speeds. FP32 performance mirrors this at identical TFLOPS ratings per GPU.
Which has lower power consumption?▾
The A10 consumes 150W TDP, lower than the RTX 4070 Ti SUPER's 200W. This enables higher density in power-limited cloud instances. Efficiency gains from Ada Lovelace may offset the difference in lighter loads.
Is the RTX 4070 Ti SUPER newer than the A10?▾
Yes, the RTX 4070 Ti SUPER uses 2023 Ada Lovelace architecture versus the A10's 2021 Ampere. Newer design brings tensor core improvements despite similar 29.1 versus 31.2 TFLOPS specs. Both fit PCIe form factors.
Can both GPUs handle LLM inference equally?▾
Their FP16 ratings of 31.2 TFLOPS on A10 and 29.1 TFLOPS on RTX 4070 Ti SUPER yield comparable inference speeds for models under 12 GB. A10 excels beyond that VRAM threshold. Cost favors the RTX at $0.17 average per hour.
Which is cheaper to rent, the A10 or the RTX 4070?▾
Cloud rental prices for both the A10 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 A10 have compared to the RTX 4070?▾
The A10 has 24 GB of GDDR6 memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find A10 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 A10 and the RTX 4070?▾
The A10 uses the Ampere architecture (2021) while the RTX 4070 uses Ada Lovelace (2023). The A10 delivers 1.1x the FP16 throughput and 1.2x the memory bandwidth of the RTX 4070.