RTX 3070 vs RTX 3080 Ti

AmperevsAmpereUpdated 35 days ago

The RTX 3080 Ti emerges as the winner for prevalent machine learning use cases. Its 47 percent higher 29.8 TFLOPS performance and 760 GB/s bandwidth deliver superior speed and scalability over the RTX 3070's 20.3 TFLOPS and 448 GB/s, outweighing the doubled rental cost for most productivity needs.

Specifications Compared

SpecRTX-3070RTX-3080
TDP220W320W
VRAM8 GB10-12 GB
CUDA Cores5,8888,704
Memory TypeGDDR6GDDR6X
ArchitectureAmpereAmpere
Form FactorsPCIePCIe
Interconnect
Tensor Cores184272
FP16 Performance20.3 TFLOPS29.8 TFLOPS
FP32 Performance20.3 TFLOPS29.8 TFLOPS
Memory Bandwidth448 GB/s760 GB/s

Performance Analysis

Compute throughput defines a key advantage for the RTX 3080 Ti: its 29.8 TFLOPS in FP16 and FP32 exceeds the RTX 3070's 20.3 TFLOPS by 47 percent. This delta accelerates deep learning training epochs and boosts inference latency for real-time applications, as higher floating-point operations per second process matrix multiplications faster.

Memory bandwidth impacts workload efficiency profoundly: the RTX 3080 Ti's 760 GB/s enables larger batch sizes during training, minimizing data loading bottlenecks compared to the RTX 3070's 448 GB/s. The RTX 3080 Ti's 10 to 12 GB VRAM capacity handles expansive models like large language models without out-of-memory errors, whereas the RTX 3070's 8 GB limits scale to smaller datasets or quantized inference.

Power draw correlates with performance: the RTX 3080 Ti's 320W TDP sustains peak utilization longer than the RTX 3070's 220W, benefiting sustained workloads in cloud instances.

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When to Choose the RTX 3070

The RTX 3070 fits lightweight machine learning pipelines. Its $0.04 per hour starting price and 220W TDP reduce operational costs for inference on models under 8 GB VRAM or fine-tuning compact networks, where 20.3 TFLOPS suffices without excess capacity.

When to Choose the RTX 3080 Ti

The RTX 3080 Ti excels in high-throughput scenarios. With 29.8 TFLOPS and 760 GB/s bandwidth, it processes demanding training jobs or Stable Diffusion at higher resolutions effectively, leveraging up to 12 GB VRAM for memory-intensive tasks at $0.08 per hour.

Use Cases

LLM Training
RTX 3080 Ti

The RTX 3080 Ti's 10 to 12 GB VRAM and 29.8 TFLOPS accommodate larger language models with bigger batches, outperforming the RTX 3070's 8 GB and 20.3 TFLOPS limits.

LLM Inference
Either

Both GPUs handle inference adequately, but the RTX 3070 suffices for quantized models under 8 GB while the RTX 3080 Ti supports full-precision at scale with 760 GB/s bandwidth.

Fine-tuning
RTX 3070

The RTX 3070's 20.3 TFLOPS and lower $0.04 per hour cost optimize fine-tuning of mid-sized models, avoiding the RTX 3080 Ti's higher 320W TDP overhead.

Stable Diffusion
RTX 3080 Ti

The RTX 3080 Ti's 12 GB VRAM and 760 GB/s bandwidth enable higher-resolution image generation without artifacts, surpassing the RTX 3070's 8 GB constraints.

Scientific Computing
RTX 3080 Ti

Higher 29.8 TFLOPS and bandwidth on the RTX 3080 Ti accelerate simulations with large datasets, providing 47 percent more compute than the RTX 3070.

Frequently Asked Questions

What is the VRAM difference between RTX 3070 and RTX 3080 Ti?

The RTX 3070 has 8 GB GDDR6 VRAM. The RTX 3080 Ti offers 10 to 12 GB GDDR6X VRAM, supporting larger models in training.

Which GPU has higher performance in TFLOPS?

The RTX 3080 Ti delivers 29.8 TFLOPS in FP16 and FP32. This exceeds the RTX 3070's 20.3 TFLOPS by 47 percent for faster computations.

How do cloud prices compare?

RTX 3070 rentals start at $0.04 per hour, averaging $0.09 per hour across 4 offers. RTX 3080 Ti begins at $0.08 per hour, averaging $0.14 per hour across 4 offers.

What is the memory bandwidth gap?

RTX 3070 provides 448 GB/s bandwidth. RTX 3080 Ti achieves 760 GB/s, enabling larger batch sizes and reduced bottlenecks.

Which has lower power consumption?

The RTX 3070 uses 220W TDP. The RTX 3080 Ti requires 320W, correlating with its higher performance output.

Are both GPUs from the same generation?

Yes, both use Ampere architecture from 2020. They share PCIe form factors for broad cloud compatibility.

Which is cheaper to rent, the RTX 3070 or the RTX 3080?

Cloud rental prices for both the RTX 3070 and RTX 3080 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 3070 have compared to the RTX 3080?

The RTX 3070 has 8 GB of GDDR6 memory. The RTX 3080 has 10 to 12 GB of GDDR6X memory.

Can I find RTX 3070 and RTX 3080 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 3070 and the RTX 3080?

The RTX 3070 uses the Ampere architecture (2020) while the RTX 3080 uses Ampere (2020). The RTX 3080 delivers 1.5x the FP16 throughput and 1.7x the memory bandwidth of the RTX 3070.