GTX 1070 Ti vs RTX 4060

PascalvsAda LovelaceUpdated 35 days ago

The RTX 4060 emerges as the clear winner for most use cases, including LLM training and inference. Its 15.1 TFLOPS performance exceeds the GTX 1070 Ti's 8.9 TFLOPS by 70 percent, paired with 115 W TDP for superior efficiency over 180 W. Bandwidth at 272 GB/s further enables practical workloads unavailable on the older card.

Specifications Compared

SpecGTX-1070RTX-4060
TDP150W115W
VRAM8 GB8 GB
CUDA Cores1,9203,072
Memory TypeGDDR5GDDR6
ArchitecturePascalAda Lovelace
Form FactorsPCIePCIe
Interconnect
FP16 Performance6.5 TFLOPS15.1 TFLOPS
FP32 Performance6.5 TFLOPS15.1 TFLOPS
Memory Bandwidth256 GB/s272 GB/s

Performance Analysis

Compute performance differs substantially: the RTX 4060 achieves 15.1 TFLOPS in FP16 and FP32, a 70 percent increase over the GTX 1070 Ti's 8.9 TFLOPS. This delta accelerates LLM training and inference, where FP16 precision halves memory use while maintaining speed in supported frameworks. Higher FP32 on RTX 4060 benefits general scientific computing and simulations requiring full precision. Memory bandwidth edges ahead at 272 GB/s on RTX 4060 versus 256 GB/s, supporting larger batch sizes in training: for instance, models with high-resolution inputs process more samples per iteration without swapping. The RTX 4060's 115 W TDP versus 180 W yields better performance per watt, ideal for prolonged cloud sessions. GDDR6 VRAM on RTX 4060 provides minor latency advantages over GDDR5 in bandwidth-intensive inference.

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When to Choose the GTX 1070 Ti

The GTX 1070 Ti fits legacy workflows locked to Pascal-specific optimizations, such as older CUDA toolkits before Tensor Core reliance. Its 8.9 TFLOPS FP32 handles basic rendering or compute where 8 GB GDDR5 suffices and upgrade costs outweigh benefits. Power budgets tolerant of 180 W TDP favor it in non-cloud desktop setups.

When to Choose the RTX 4060

The RTX 4060 dominates modern AI pipelines with 15.1 TFLOPS FP16/FP32 and Ada efficiency features. Lower 115 W TDP reduces operational costs in cloud environments, while 272 GB/s bandwidth supports demanding inference at scale. It excels for any task leveraging post-Pascal advancements.

Use Cases

LLM Training
RTX 4060

RTX 4060's 15.1 TFLOPS FP16 outperforms GTX 1070 Ti's 8.9 TFLOPS, speeding convergence on large models. Higher bandwidth of 272 GB/s handles bigger batches.

LLM Inference
RTX 4060

15.1 TFLOPS FP16 on RTX 4060 delivers lower latency than 8.9 TFLOPS on GTX 1070 Ti for real-time serving. Efficiency at 115 W TDP suits always-on deployments.

Fine-tuning
RTX 4060

Ada architecture and 15.1 TFLOPS enable faster iterations versus Pascal's 8.9 TFLOPS. 272 GB/s bandwidth supports dataset-heavy fine-tuning.

Stable Diffusion
RTX 4060

RTX 4060's higher FP16 at 15.1 TFLOPS generates images quicker than 8.9 TFLOPS on GTX 1070 Ti. Lower TDP aids extended creative sessions.

Scientific Computing
Either

Both offer 8 GB VRAM for simulations; GTX 1070 Ti's 8.9 TFLOPS FP32 suffices for legacy codes, while RTX 4060's 15.1 TFLOPS accelerates new ones.

Frequently Asked Questions

What is the performance difference between GTX 1070 Ti and RTX 4060?

RTX 4060 provides 15.1 TFLOPS FP32, 70 percent more than GTX 1070 Ti's 8.9 TFLOPS. This gap shortens training times significantly. Bandwidth is 272 GB/s on RTX 4060 versus 256 GB/s.

Which has better power efficiency?

RTX 4060 uses 115 W TDP, far below GTX 1070 Ti's 180 W. It delivers more TFLOPS per watt for cloud economics. Both share PCIe form factors.

Do they have the same VRAM?

Both feature 8 GB VRAM, but RTX 4060 uses faster GDDR6 versus GDDR5 on GTX 1070 Ti. Bandwidth reaches 272 GB/s on RTX 4060, aiding AI tasks. This parity suits memory-bound comparisons.

Is RTX 4060 good for machine learning?

RTX 4060 excels with 15.1 TFLOPS FP16 for training and inference. It outperforms GTX 1070 Ti's 8.9 TFLOPS in modern frameworks. Lower TDP enhances scalability.

What architectures do they use?

GTX 1070 Ti employs Pascal from 2016, while RTX 4060 uses Ada Lovelace from 2023. This generational leap boosts RTX 4060 to 15.1 TFLOPS from 8.9 TFLOPS. No live cloud offers exist for either.

Can GTX 1070 Ti handle Stable Diffusion?

GTX 1070 Ti's 8.9 TFLOPS FP32 manages basic Stable Diffusion with 8 GB VRAM. RTX 4060 at 15.1 TFLOPS generates faster. Bandwidth limits larger resolutions on older card.

Which is cheaper to rent, the GTX 1070 or the RTX 4060?

Cloud rental prices for both the GTX 1070 and RTX 4060 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 GTX 1070 have compared to the RTX 4060?

The GTX 1070 has 8 GB of GDDR5 memory. The RTX 4060 has 8 GB of GDDR6 memory.

Can I find GTX 1070 and RTX 4060 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 GTX 1070 and the RTX 4060?

The GTX 1070 uses the Pascal architecture (2016) while the RTX 4060 uses Ada Lovelace (2023). The RTX 4060 delivers 2.3x the FP16 throughput and 1.1x the memory bandwidth of the GTX 1070.