RTX 3070 vs RTX 4070 SUPER

AmperevsAda LovelaceUpdated 35 days ago

RTX 4070 SUPER claims victory for prevalent machine learning scenarios. Superior 35.5 TFLOPS versus 20.3 TFLOPS drives faster training and inference, complemented by 12 GB VRAM over 8 GB for contemporary models. Identical 220W TDP preserves power budgets, outweighing current lack of cloud offers.

RTX 4070 SUPER from $0.50/hr

Specifications Compared

SpecRTX-3070RTX-4070
TDP220W200W
VRAM8 GB12 GB
CUDA Cores5,8885,888
Memory TypeGDDR6GDDR6X
ArchitectureAmpereAda Lovelace
Form FactorsPCIePCIe
Interconnect
Tensor Cores184184
FP16 Performance20.3 TFLOPS29.1 TFLOPS
FP32 Performance20.3 TFLOPS29.1 TFLOPS
Memory Bandwidth448 GB/s504 GB/s

Performance Analysis

RTX 4070 SUPER outperforms RTX 3070 in compute-intensive workloads. Its 35.5 TFLOPS rating in FP16 and FP32 exceeds RTX 3070's 20.3 TFLOPS by 75 percent, speeding up model training epochs and inference requests. Training benefits from quicker matrix multiplications; inference handles more simultaneous queries.

VRAM capacity defines model scalability: 12 GB on RTX 4070 SUPER fits larger language models than 8 GB on RTX 3070, avoiding out-of-memory errors. Bandwidth of 504 GB/s versus 448 GB/s enables bigger batch sizes, reducing per-iteration time in memory-bound tasks like fine-tuning or diffusion models.

TDP matches at 220W for both, but Ada Lovelace yields better efficiency per watt through optimized cores.

Live Cloud Pricing

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

RTX 4070 SUPER

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
RunPod
RunPod
NVIDIA GeForce RTX 4070 Ti
12GB VRAM
$0.50/GPU/hr

Compare real-time pricing across 25+ providers

When to Choose the RTX 3070

RTX 3070 fits cost-sensitive projects. Cloud rates begin at $0.04 per hour and average $0.09 per hour over four providers, ideal for experimentation or inference on sub-7B parameter models within 8 GB VRAM. Its 20.3 TFLOPS suffices for lightweight fine-tuning where speed is secondary to expense.

Select RTX 3070 when immediate cloud access and low pricing outweigh peak performance, especially absent RTX 4070 SUPER listings.

When to Choose the RTX 4070 SUPER

RTX 4070 SUPER excels in demanding AI pipelines. The 35.5 TFLOPS compute accelerates training by 75 percent over 20.3 TFLOPS, while 12 GB VRAM manages extended context lengths or high-resolution generation. Bandwidth at 504 GB/s sustains large batches without throttling.

Choose RTX 4070 SUPER for future-proofing professional workflows, pending cloud availability.

Use Cases

LLM Training
RTX 4070 SUPER

RTX 4070 SUPER's 12 GB VRAM and 35.5 TFLOPS handle extensive datasets better than RTX 3070's 8 GB and 20.3 TFLOPS. Faster convergence results from 75 percent higher compute.

LLM Inference
RTX 4070 SUPER

35.5 TFLOPS boosts token throughput over 20.3 TFLOPS. 12 GB VRAM supports unquantized large models without issues.

Fine-tuning
RTX 4070 SUPER

Higher 35.5 TFLOPS speeds gradient updates versus 20.3 TFLOPS. Extra 4 GB VRAM allows larger batches for stability.

Stable Diffusion
RTX 4070 SUPER

12 GB VRAM and 504 GB/s bandwidth enable high-res outputs unlike 8 GB and 448 GB/s on RTX 3070.

Scientific Computing
Either

RTX 3070 meets basic simulations at $0.04 per hour low cost. RTX 4070 SUPER shines in parallel compute via 35.5 TFLOPS.

Frequently Asked Questions

Which has more VRAM, RTX 3070 or RTX 4070 SUPER?

RTX 4070 SUPER equips 12 GB GDDR6X VRAM. RTX 3070 uses 8 GB GDDR6. The extra capacity accommodates bigger AI models.

How do FP32 performances compare?

RTX 4070 SUPER achieves 35.5 TFLOPS in FP32. RTX 3070 delivers 20.3 TFLOPS. This yields 75 percent faster processing on SUPER.

What are RTX 3070 cloud prices?

Offers start at $0.04 per hour, averaging $0.09 per hour across four providers. RTX 4070 SUPER shows no live cloud offers.

Which GPU offers higher memory bandwidth?

RTX 4070 SUPER provides 504 GB/s bandwidth. RTX 3070 reaches 448 GB/s. Superior bandwidth minimizes data transfer delays.

Compare TDP of RTX 3070 and RTX 4070 SUPER.

Both maintain 220W TDP ratings. Power consumption aligns despite RTX 4070 SUPER's performance edge.

Should I upgrade from RTX 3070 to RTX 4070 SUPER?

Upgrading benefits ML tasks with 35.5 TFLOPS over 20.3 TFLOPS and 12 GB versus 8 GB VRAM. Consider cloud availability first.

Which is cheaper to rent, the RTX 3070 or the RTX 4070?

Cloud rental prices for both the RTX 3070 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 RTX 3070 have compared to the RTX 4070?

The RTX 3070 has 8 GB of GDDR6 memory. The RTX 4070 has 12 GB of GDDR6X memory.

Can I find RTX 3070 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 RTX 3070 and the RTX 4070?

The RTX 3070 uses the Ampere architecture (2020) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 1.4x the FP16 throughput and 1.1x the memory bandwidth of the RTX 3070.

RTX 3070 vs RTX 4070 SUPER: 12GB GDDR6X vs 8GB GDDR6 | GPUPerHour