RTX 2070 vs RTX 4060

TuringvsAda LovelaceUpdated 36 days ago

The RTX 4060 emerges as the winner for most cloud GPU use cases. Its 15.1 TFLOPS compute performance doubles the RTX 2070's 7.5 TFLOPS, delivering faster training and inference on modern workloads despite lower 272 GB/s bandwidth. Superior efficiency at 115W TDP and wider availability justify the higher average $0.15 per hour cost.

Specifications Compared

SpecRTX-2070RTX-4060
TDP175W115W
VRAM8 GB8 GB
CUDA Cores2,3043,072
Memory TypeGDDR6GDDR6
ArchitectureTuringAda Lovelace
Form FactorsPCIePCIe
InterconnectNVLink
Tensor Cores28896
FP16 Performance7.5 TFLOPS15.1 TFLOPS
FP32 Performance7.5 TFLOPS15.1 TFLOPS
Memory Bandwidth448 GB/s272 GB/s

Performance Analysis

Compute performance favors the RTX 4060 decisively: its 15.1 TFLOPS in FP16 and FP32 exceeds the RTX 2070's 7.5 TFLOPS by double. This acceleration applies to training deep neural networks and inference, where Ada Lovelace tensor cores process operations more efficiently than Turing equivalents.

Memory bandwidth presents a counterpoint: the RTX 2070's 448 GB/s enables larger batch sizes in memory-bound scenarios, such as processing high-resolution images or large datasets, outperforming the RTX 4060's 272 GB/s. Reduced bandwidth on the newer GPU may limit throughput in bandwidth-saturated workloads like certain scientific simulations.

Power consumption differs notably, with the RTX 4060 at 115W TDP versus 175W on the RTX 2070, reducing energy costs for extended cloud runs. Both share 8 GB GDDR6 VRAM, sufficient for mid-scale models, but the RTX 4060's architectural advances ensure better utilization in modern frameworks.

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When to Choose the RTX 2070

Select the RTX 2070 for cost-sensitive, bandwidth-critical tasks. Its 448 GB/s memory bandwidth supports larger batch sizes in Stable Diffusion or scientific computing compared to the RTX 4060's 272 GB/s. Pricing from $0.02 per hour, averaging $0.04 per hour across two offers, provides exceptional value for prolonged workloads.

The NVLink interconnect aids multi-GPU setups, beneficial for distributed training where data transfer rates matter more than raw compute.

When to Choose the RTX 4060

The RTX 4060 suits compute-intensive machine learning projects. With 15.1 TFLOPS FP16 and FP32 performance, it trains LLMs and fine-tunes models twice as fast as the RTX 2070's 7.5 TFLOPS. Lower 115W TDP enhances efficiency in dense cloud instances.

Newer Ada Lovelace architecture ensures compatibility with latest software optimizations and broader availability across six cloud offers at $0.08 per hour starting price.

Use Cases

LLM Training
RTX 4060

RTX 4060's 15.1 TFLOPS FP16 performance doubles RTX 2070's 7.5 TFLOPS, accelerating large model training. Ada Lovelace architecture optimizes tensor operations for this workload.

LLM Inference
RTX 4060

Higher 15.1 TFLOPS FP32 on RTX 4060 speeds up inference requests compared to 7.5 TFLOPS on RTX 2070. Lower 115W TDP supports sustained serving.

Fine-tuning
RTX 4060

RTX 4060 doubles compute throughput at 15.1 TFLOPS, reducing fine-tuning time over RTX 2070's 7.5 TFLOPS. Modern architecture improves framework support.

Stable Diffusion
RTX 2070

RTX 2070's 448 GB/s bandwidth handles high-resolution image generation better than RTX 4060's 272 GB/s. Lower $0.02 per hour pricing fits iterative creative tasks.

Scientific Computing
RTX 2070

Superior 448 GB/s memory bandwidth on RTX 2070 supports data-intensive simulations versus 272 GB/s on RTX 4060. NVLink aids multi-GPU scalability.

Frequently Asked Questions

Which GPU has higher compute performance, RTX 2070 or RTX 4060?

The RTX 4060 achieves 15.1 TFLOPS in FP16 and FP32, doubling the RTX 2070's 7.5 TFLOPS. This makes it faster for training and inference tasks. Bandwidth remains higher on RTX 2070 at 448 GB/s versus 272 GB/s.

Do RTX 2070 and RTX 4060 have the same VRAM?

Both GPUs feature 8 GB GDDR6 VRAM, suitable for mid-sized models. RTX 2070 pairs this with 448 GB/s bandwidth, while RTX 4060 offers 272 GB/s. VRAM equality supports similar model capacities.

What are the cloud pricing differences?

RTX 2070 starts at $0.02 per hour, averaging $0.04 per hour across two offers. RTX 4060 begins at $0.08 per hour, averaging $0.15 per hour across six offers. Cheaper RTX 2070 appeals to budget workloads.

Which GPU is more power efficient?

RTX 4060 consumes 115W TDP, lower than RTX 2070's 175W. This reduces energy costs in cloud deployments. Efficiency pairs with 15.1 TFLOPS performance.

Is RTX 4060 better for AI training?

Yes, RTX 4060's 15.1 TFLOPS FP16 outperforms RTX 2070's 7.5 TFLOPS for AI training. Ada Lovelace architecture enhances tensor core efficiency. Availability across six providers adds flexibility.

Does RTX 2070 support NVLink?

RTX 2070 includes NVLink interconnect for multi-GPU communication. RTX 4060 lacks this feature. NVLink benefits bandwidth-heavy distributed tasks at 448 GB/s.

Which is cheaper to rent, the RTX 2070 or the RTX 4060?

Cloud rental prices for both the RTX 2070 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 RTX 2070 have compared to the RTX 4060?

The RTX 2070 has 8 GB of GDDR6 memory. The RTX 4060 has 8 GB of GDDR6 memory.

Can I find RTX 2070 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 RTX 2070 and the RTX 4060?

The RTX 2070 uses the Turing architecture (2018) while the RTX 4060 uses Ada Lovelace (2023). The RTX 4060 delivers 2.0x the FP16 throughput and 1.6x the memory bandwidth of the RTX 2070.