RTX 4070 SUPER vs RTX 5060

Ada LovelacevsBlackwellUpdated 35 days ago

The RTX 4070 SUPER claims victory for most common use cases such as LLM training and inference. Superior 29.1 TFLOPS performance and 504 GB/s bandwidth deliver tangible advantages over the RTX 5060's 23.1 TFLOPS and 448 GB/s, prioritizing raw capability until pricing influences decisions.

RTX 4070 SUPER from $0.50/hrRTX 5060 from $0.27/hr

Specifications Compared

SpecRTX-4070RTX-5060
TDP200W180W
VRAM12 GB12 GB
CUDA Cores5,8884,608
Memory TypeGDDR6XGDDR7
ArchitectureAda LovelaceBlackwell
Form FactorsPCIePCIe
Interconnect
Tensor Cores184144
FP16 Performance29.1 TFLOPS23.1 TFLOPS
FP32 Performance29.1 TFLOPS23.1 TFLOPS
INT8 Performance466 TOPS370 TOPS
Memory Bandwidth504 GB/s448 GB/s

Performance Analysis

The RTX 4070 SUPER's 29.1 TFLOPS FP32 rating exceeds the RTX 5060's 23.1 TFLOPS, enabling faster computations in LLM training where matrix operations dominate. Equivalent FP16 performance on both supports efficient inference without precision loss, but the higher figure on the RTX 4070 SUPER accelerates batch processing in deep learning pipelines.

Memory bandwidth impacts real-world usage significantly: 504 GB/s on the RTX 4070 SUPER allows larger batch sizes in memory-bound tasks like fine-tuning, minimizing data transfer delays compared to 448 GB/s on the RTX 5060. Lower TDP on the RTX 5060 suggests potential efficiency gains, yet raw specs position the RTX 4070 SUPER ahead for bandwidth-intensive inference and Stable Diffusion generation.

Blackwell's advancements may optimize specific workloads, but the provided metrics favor the RTX 4070 SUPER for current demands.

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

RTX 5060

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vast.ai
Vast.ai
2×NVIDIA GeForce RTX 5060 Ti
16GB VRAM
$0.27/GPU/hr
$0.53/hr total (2×)
Available

Compare real-time pricing across 25+ providers

When to Choose the RTX 4070 SUPER

Select the RTX 4070 SUPER for workloads demanding peak compute and memory throughput. Its 29.1 TFLOPS and 504 GB/s bandwidth excel in LLM training and Stable Diffusion, handling larger models without bottlenecks. Power users benefit from these specs in sustained high-load scenarios.

When to Choose the RTX 5060

Choose the RTX 5060 for efficiency-focused deployments. The 180 W TDP reduces energy costs versus 200 W, suiting edge or multi-GPU setups. Blackwell architecture promises future optimizations, ideal for inference where raw power yields to newer features.

Use Cases

LLM Training
RTX 4070 SUPER

The RTX 4070 SUPER's 29.1 TFLOPS FP32 outperforms the RTX 5060's 23.1 TFLOPS for faster training cycles. Higher 504 GB/s bandwidth supports larger batches.

LLM Inference
RTX 4070 SUPER

29.1 TFLOPS FP16 on the RTX 4070 SUPER accelerates inference latency versus 23.1 TFLOPS. Bandwidth edge aids high-throughput serving.

Fine-tuning
Either

Both offer 12 GB VRAM suitable for fine-tuning mid-sized models. RTX 4070 SUPER provides speed via 29.1 TFLOPS; RTX 5060 offers efficiency at 180 W.

Stable Diffusion
RTX 4070 SUPER

504 GB/s bandwidth on RTX 4070 SUPER handles image generation batches better than 448 GB/s. Compute at 29.1 TFLOPS speeds iterations.

Scientific Computing
RTX 5060

RTX 5060's 180 W TDP and Blackwell architecture suit prolonged simulations. Lower 23.1 TFLOPS suffices for FP32-heavy tasks with efficiency.

Frequently Asked Questions

Which GPU has higher FP32 performance?

The RTX 4070 SUPER achieves 29.1 TFLOPS FP32, exceeding the RTX 5060's 23.1 TFLOPS. This benefits compute-heavy tasks like training. FP16 matches these figures on both.

Do they have the same VRAM?

Both the RTX 4070 SUPER and RTX 5060 provide 12 GB VRAM. RTX 4070 SUPER uses GDDR6X; RTX 5060 uses GDDR7. Capacity suits mid-range AI workloads.

Which has better memory bandwidth?

RTX 4070 SUPER offers 504 GB/s, higher than RTX 5060's 448 GB/s. This supports larger batches in inference. Bandwidth affects memory-bound applications.

What are the TDP ratings?

RTX 4070 SUPER consumes 200 W; RTX 5060 uses 180 W. Lower TDP on RTX 5060 aids power-limited environments. Both fit PCIe slots.

Which architecture is newer?

RTX 5060 employs Blackwell from 2025, postdating RTX 4070 SUPER's Ada Lovelace from 2023. Newer design may include efficiency gains. Specs show RTX 4070 SUPER leading in TFLOPS.

Are there live pricing offers?

No live offers exist for either GPU currently on gpuperhour.com. Comparisons rely on specs like 29.1 TFLOPS for RTX 4070 SUPER. Monitor for cloud availability.

Which is cheaper to rent, the RTX 4070 or the RTX 5060?

Cloud rental prices for both the RTX 4070 and RTX 5060 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 4070 have compared to the RTX 5060?

The RTX 4070 has 12 GB of GDDR6X memory. The RTX 5060 has 12 GB of GDDR7 memory.

Can I find RTX 4070 and RTX 5060 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 4070 and the RTX 5060?

The RTX 4070 uses the Ada Lovelace architecture (2023) while the RTX 5060 uses Blackwell (2025). The RTX 4070 delivers 1.3x the FP16 throughput and 1.1x the memory bandwidth of the RTX 5060.

RTX 4070 SUPER vs RTX 5060: 12GB vs 12GB | GPUPerHour