RTX 4060 vs RTX 4070

Ada LovelacevsAda LovelaceUpdated 36 days ago

The RTX 4070 emerges as the superior choice for most machine learning use cases. Its 29.1 TFLOPS compute, 12 GB VRAM, and 504 GB/s bandwidth deliver nearly double the performance of the RTX 4060's 15.1 TFLOPS, 8 GB VRAM, and 272 GB/s, enabling larger models and batches despite higher average pricing of $0.19/hr.

RTX 4070 from $0.50/hr

Specifications Compared

SpecRTX-4060RTX-4070
TDP115W200W
VRAM8 GB12 GB
CUDA Cores3,0725,888
Memory TypeGDDR6GDDR6X
ArchitectureAda LovelaceAda Lovelace
Form FactorsPCIePCIe
Interconnect
Tensor Cores96184
FP16 Performance15.1 TFLOPS29.1 TFLOPS
FP32 Performance15.1 TFLOPS29.1 TFLOPS
INT8 Performance242 TOPS466 TOPS
Memory Bandwidth272 GB/s504 GB/s

Performance Analysis

Compute performance defines the primary distinction between these GPUs. The RTX 4070's 29.1 TFLOPS in FP16 and FP32 exceeds the RTX 4060's 15.1 TFLOPS by 93 percent: this translates to faster model training and inference times, especially in FP16-heavy workloads like deep learning. Training large language models benefits from the doubled throughput, reducing epochs by significant margins.

Memory specifications impact real-world usability profoundly. The RTX 4070's 12 GB GDDR6X VRAM and 504 GB/s bandwidth support larger batch sizes compared to the RTX 4060's 8 GB GDDR6 and 272 GB/s: for instance, inference on models exceeding 7 billion parameters fits comfortably on the RTX 4070 without swapping, while the RTX 4060 may require quantization. Bandwidth advantages minimize bottlenecks in data-intensive tasks, enabling up to 85 percent higher throughput in memory-bound operations.

Power efficiency varies accordingly. The RTX 4060's 115W TDP suits low-density deployments, but the RTX 4070's 200W demands more cooling: yet its perf-per-watt remains superior at 0.146 TFLOPS/W versus 0.131 TFLOPS/W in FP32.

Live Cloud Pricing

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

RTX 4070

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 4060

The RTX 4060 excels in budget-conscious, lightweight deployments. Its 115W TDP and starting price of $0.08/hr make it ideal for small-scale inference on models under 7 billion parameters, where 8 GB VRAM suffices and 15.1 TFLOPS handles routine tasks efficiently. Users with power constraints or multi-GPU setups prioritizing density select it over higher-TDP alternatives.

When to Choose the RTX 4070

The RTX 4070 suits demanding workloads requiring superior compute and memory. With 29.1 TFLOPS, 12 GB VRAM, and 504 GB/s bandwidth, it accelerates training and fine-tuning of mid-sized models, supporting batch sizes twice as large as the RTX 4060. Despite a 200W TDP, its $0.07/hr low-end pricing justifies selection for performance-critical cloud rentals.

Use Cases

LLM Training
RTX 4070

The RTX 4070's 29.1 TFLOPS FP16 and 12 GB VRAM handle larger datasets and models effectively. The RTX 4060's 15.1 TFLOPS and 8 GB limit batch sizes severely.

LLM Inference
RTX 4070

Higher 504 GB/s bandwidth on the RTX 4070 supports high-concurrency requests with bigger batches. The RTX 4060 suffices only for small-scale serving.

Fine-tuning
RTX 4070

29.1 TFLOPS and 12 GB VRAM enable efficient fine-tuning of 13B models on the RTX 4070. RTX 4060's specs constrain it to smaller adapters.

Stable Diffusion
Either

Both GPUs manage image generation well, with RTX 4060's 8 GB adequate for standard resolutions at 15.1 TFLOPS. RTX 4070 accelerates high-res batches via 12 GB.

Scientific Computing
RTX 4060

RTX 4060's 115W TDP and $0.08/hr pricing fit power-sensitive simulations using 15.1 TFLOPS FP32. RTX 4070 overkill for many serial tasks.

Frequently Asked Questions

Which GPU has more VRAM?

The RTX 4070 provides 12 GB GDDR6X VRAM, exceeding the RTX 4060's 8 GB GDDR6. This allows the RTX 4070 to load larger models without issues. Batch sizes increase accordingly in memory-bound tasks.

How do their compute performances compare?

RTX 4070 delivers 29.1 TFLOPS in FP16 and FP32, nearly double the RTX 4060's 15.1 TFLOPS. Training times halve on the RTX 4070 for equivalent workloads. Inference throughput scales similarly.

What are the cloud rental prices?

RTX 4060 starts at $0.08/hr with $0.15/hr average across 6 offers. RTX 4070 begins at $0.07/hr with $0.19/hr average across 9 offers. Entry pricing favors RTX 4070 slightly.

Which has higher memory bandwidth?

RTX 4070 achieves 504 GB/s, 85 percent above RTX 4060's 272 GB/s. This reduces bottlenecks in data loading for ML pipelines. Larger transfers complete faster on RTX 4070.

What are their TDPs?

RTX 4060 consumes 115W TDP, lower than RTX 4070's 200W. RTX 4060 suits dense clusters better. Performance per watt edges to RTX 4070 at 0.146 TFLOPS/W.

Are they the same generation?

Both use Ada Lovelace architecture from 2023 with PCIe form factors. Shared features include DLSS support. Differences stem from core counts and memory.

Which is cheaper to rent, the RTX 4060 or the RTX 4070?

Cloud rental prices for both the RTX 4060 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 4060 have compared to the RTX 4070?

The RTX 4060 has 8 GB of GDDR6 memory. The RTX 4070 has 12 GB of GDDR6X memory.

Can I find RTX 4060 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 4060 and the RTX 4070?

The RTX 4060 uses the Ada Lovelace architecture (2023) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 1.9x the FP16 throughput and 1.9x the memory bandwidth of the RTX 4060.

RTX 4060 vs RTX 4070: 12GB GDDR6X vs 8GB GDDR6 | GPUPerHour