A10 vs RTX 3070 Ti

AmperevsAmpereUpdated 35 days ago

The A10 emerges as the winner for the most common cloud use case of AI model training and inference. Its 24 GB VRAM and 31.2 TFLOPS outperform RTX 3070 Ti's 8 GB and 22.1 TFLOPS, enabling larger workloads despite 13 times higher average pricing of $1.06/hr versus $0.08/hr.

A10 from $0.60/hr

Specifications Compared

SpecA10RTX-3070
TDP150W220W
VRAM24 GB8 GB
CUDA Cores9,2165,888
Memory TypeGDDR6GDDR6
ArchitectureAmpereAmpere
Form FactorsPCIePCIe
Interconnect
Tensor Cores288184
FP16 Performance31.2 TFLOPS20.3 TFLOPS
FP32 Performance31.2 TFLOPS20.3 TFLOPS
INT8 Performance250 TOPS
Memory Bandwidth600 GB/s448 GB/s

Performance Analysis

Compute performance favors the A10: its 31.2 TFLOPS in FP16 and FP32 surpasses the RTX 3070 Ti's 22.1 TFLOPS by 41 percent. This delta accelerates deep learning training and inference, where FP16 precision dominates transformer models. Balanced FP16 and FP32 ratings on both GPUs support mixed-precision workflows without major penalties. Memory capacity defines key limits: A10's 24 GB GDDR6 enables larger batch sizes in LLM training, avoiding out-of-memory errors common with RTX 3070 Ti's 8 GB GDDR6X. Bandwidth remains competitive at 600 GB/s for A10 and 608 GB/s for RTX 3070 Ti, sustaining high throughput for data-intensive operations. Power draw impacts density: A10's 150W TDP allows more GPUs per server than the 290W RTX 3070 Ti, optimizing cloud efficiency.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

A10

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
LeaderGPU
LeaderGPU
10×NVIDIA A10
24GB VRAM
$0.60/GPU/hr
$6.00/hr total (10×)
Available
Vast.ai
Vast.ai
2×NVIDIA A100 SXM4 80GB
80GB VRAM
$0.73/GPU/hr
$1.47/hr total (2×)
Available
Vast.ai
Vast.ai
2×NVIDIA A100 SXM4 80GB
80GB VRAM
$0.73/GPU/hr
$1.47/hr total (2×)
Available
LeaderGPU
LeaderGPU
8×NVIDIA A100 PCIe 80GB
80GB VRAM
$0.90/GPU/hr
$7.20/hr total (8×)
Available
Vast.ai
Vast.ai
2×NVIDIA A100 SXM4 80GB
80GB VRAM
$1.00/GPU/hr
$2.00/hr total (2×)
Available

Compare real-time pricing across 25+ providers

When to Choose the A10

Select the A10 for memory-heavy AI tasks. Its 24 GB VRAM handles large LLMs during training or inference, where 8 GB on RTX 3070 Ti requires model sharding. The 31.2 TFLOPS compute and 150W TDP suit enterprise-scale deployments needing reliability and efficiency.

When to Choose the RTX 3070 Ti

Opt for the RTX 3070 Ti in cost-sensitive projects. At $0.06/hr average $0.08/hr, it delivers 22.1 TFLOPS for inference on smaller models fitting 8 GB VRAM. Gaming-related rendering or lightweight fine-tuning benefits from 608 GB/s bandwidth at low power cost.

Use Cases

LLM Training
A10

A10's 24 GB VRAM supports full large model training without sharding, unlike 8 GB on RTX 3070 Ti. 31.2 TFLOPS provides 41 percent faster compute.

LLM Inference
A10

24 GB VRAM accommodates longer contexts and batches on A10. Higher 31.2 TFLOPS ensures lower latency than 22.1 TFLOPS on RTX 3070 Ti.

Fine-tuning
Either

Smaller models fit 8 GB on RTX 3070 Ti for cost savings at $0.08/hr average. A10's 24 GB excels for parameter-heavy fine-tuning.

Stable Diffusion
RTX 3070 Ti

RTX 3070 Ti's 8 GB GDDR6X and 608 GB/s bandwidth generate images efficiently at $0.06/hr. A10 overkill for typical 512x512 resolutions.

Scientific Computing
A10

A10's 31.2 TFLOPS FP32 and 24 GB VRAM accelerate simulations. Lower 150W TDP aids multi-GPU scientific clusters.

Frequently Asked Questions

Which GPU has more VRAM: A10 or RTX 3070 Ti?

The A10 has 24 GB GDDR6 VRAM, three times more than the RTX 3070 Ti's 8 GB GDDR6X. This enables larger AI models on A10. Bandwidth is similar at 600 GB/s versus 608 GB/s.

What are the cloud prices for A10 and RTX 3070 Ti?

A10 pricing starts at $0.60/hr with average $1.06/hr across 3 offers. RTX 3070 Ti is from $0.06/hr average $0.08/hr across 2 offers. RTX 3070 Ti offers better value per dollar.

Is the A10 faster than RTX 3070 Ti in compute?

A10 delivers 31.2 TFLOPS FP16 and FP32, 41 percent above RTX 3070 Ti's 22.1 TFLOPS. This speeds training and inference. Both use Ampere architecture.

What are the TDP ratings?

A10 TDP is 150W, lower than RTX 3070 Ti's 290W. A10 supports denser cloud racks. Both fit PCIe form factors.

Can RTX 3070 Ti handle LLM inference?

RTX 3070 Ti manages inference for models under 8 GB VRAM with 22.1 TFLOPS. Larger models need A10's 24 GB. Pricing at $0.08/hr average favors it for light loads.

Are both GPUs on the same architecture?

Both A10 and RTX 3070 Ti use Ampere from 2021. FP16 and FP32 match at equal TFLOPS per GPU. A10 targets professional use.

Which is cheaper to rent, the A10 or the RTX 3070?

Cloud rental prices for both the A10 and RTX 3070 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 3070?

The A10 has 24 GB of GDDR6 memory. The RTX 3070 has 8 GB of GDDR6 memory.

Can I find A10 and RTX 3070 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 3070?

The A10 uses the Ampere architecture (2021) while the RTX 3070 uses Ampere (2020). The A10 delivers 1.5x the FP16 throughput and 1.3x the memory bandwidth of the RTX 3070.

A10 vs RTX 3070 Ti: 24GB GDDR6 vs 8GB GDDR6 | GPUPerHour