GTX 1070 Ti vs RTX 4060 Ti

PascalvsAda LovelaceUpdated 35 days ago

The RTX 4060 Ti emerges as the winner for most cloud GPU use cases like AI training and inference. It delivers 22.1 TFLOPS compute and 288 GB/s bandwidth, over twice the GTX 1070 Ti's capabilities, at a 160 W TDP and pricing from $0.08 per hour.

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

The RTX 4060 Ti demonstrates superior compute capability: 22.1 TFLOPS in FP16 and FP32 versus 8.9 TFLOPS on the GTX 1070 Ti. This 2.5 times advantage accelerates deep learning training by processing more operations per second, reducing epoch times significantly. Inference tasks benefit similarly, with faster token generation in LLMs. The Ada Lovelace tensor cores further enhance FP16 workloads beyond shader performance. Memory bandwidth edges higher at 288 GB/s on the RTX 4060 Ti compared to 256 GB/s on the GTX 1070 Ti. This supports larger batch sizes in training without stalling, vital for models exceeding 7 billion parameters. GDDR6 memory sustains higher throughput for data-heavy inference. Power efficiency favors the RTX 4060 Ti: 160 W TDP versus 180 W yields lower operational costs in prolonged cloud sessions. Overall, these specs position the newer GPU for demanding AI pipelines.

Live Cloud Pricing

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When to Choose the GTX 1070 Ti

The GTX 1070 Ti fits legacy on-premise setups where hardware already exists. Its 8.9 TFLOPS FP32 performance handles basic inference or scientific simulations without cloud dependency. With no live offers, it avoids rental costs for users maintaining Pascal-optimized software stacks.

When to Choose the RTX 4060 Ti

The RTX 4060 Ti excels in modern cloud workflows requiring high throughput. Its 22.1 TFLOPS FP16 and 288 GB/s bandwidth enable efficient LLM fine-tuning and Stable Diffusion generation. Availability from $0.08 per hour makes it scalable for variable demands.

Use Cases

LLM Training
RTX 4060 Ti

The RTX 4060 Ti's 22.1 TFLOPS FP16 performance doubles the GTX 1070 Ti's 8.9 TFLOPS, speeding up gradient computations. Higher bandwidth at 288 GB/s supports larger batches.

LLM Inference
RTX 4060 Ti

RTX 4060 Ti handles inference with 2.5 times more FP32 throughput at 22.1 TFLOPS. Its 288 GB/s bandwidth minimizes latency for real-time serving.

Fine-tuning
RTX 4060 Ti

Ada architecture tensor cores on RTX 4060 Ti boost fine-tuning efficiency beyond Pascal's 8.9 TFLOPS limit. Cloud pricing starts at $0.08 per hour for cost-effective runs.

Stable Diffusion
RTX 4060 Ti

RTX 4060 Ti's 22.1 TFLOPS and modern cores accelerate diffusion models far beyond GTX 1070 Ti. 8 GB GDDR6 sustains high-resolution image generation.

Scientific Computing
RTX 4060 Ti

Superior 22.1 TFLOPS FP32 on RTX 4060 Ti outperforms 8.9 TFLOPS for simulations. Lower 160 W TDP reduces energy costs in long computations.

Frequently Asked Questions

Which GPU performs better, GTX 1070 Ti or RTX 4060 Ti?

The RTX 4060 Ti provides 22.1 TFLOPS in FP16 and FP32, compared to 8.9 TFLOPS on the GTX 1070 Ti. This yields about 2.5 times faster processing for AI tasks. Memory bandwidth reaches 288 GB/s on RTX 4060 Ti versus 256 GB/s.

What are the TDP differences between GTX 1070 Ti and RTX 4060 Ti?

GTX 1070 Ti consumes 180 W TDP, while RTX 4060 Ti uses 160 W. The RTX 4060 Ti offers better efficiency for sustained workloads. This impacts cloud billing indirectly through performance per watt.

What is the cloud pricing for these GPUs?

No live cloud offers exist for GTX 1070 Ti. RTX 4060 Ti pricing starts at $0.08 per hour, averaging $0.14 per hour across six providers. This makes RTX 4060 Ti accessible for on-demand use.

Do GTX 1070 Ti and RTX 4060 Ti have the same VRAM?

Both GPUs feature 8 GB VRAM. RTX 4060 Ti uses faster GDDR6, paired with 288 GB/s bandwidth over GTX 1070 Ti's GDDR5 at 256 GB/s. This enhances data handling in memory-bound tasks.

Which is better for machine learning training?

RTX 4060 Ti excels with 22.1 TFLOPS FP16 versus 8.9 TFLOPS on GTX 1070 Ti. Ada tensor cores accelerate training further. Cloud availability at $0.08 per hour supports scalable experiments.

What architectures do these GPUs use?

GTX 1070 Ti runs Pascal architecture from 2017. RTX 4060 Ti uses Ada Lovelace from 2023, adding tensor and RT cores. This generational shift boosts compute to 22.1 TFLOPS from 8.9 TFLOPS.

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.

GTX 1070 Ti vs RTX 4060 Ti: 2.3x FP16 Gap, 8GB vs 8GB | GPUPerHour