RTX 2080 Ti vs RTX 4070

TuringvsAda LovelaceUpdated 35 days ago

The RTX 4070 emerges as the superior choice for prevalent AI tasks such as model training and inference. Delivering 29.1 TFLOPS against the RTX 2080 Ti's 10.1 TFLOPS, it provides almost triple the compute alongside 12 GB VRAM, outweighing the minor bandwidth edge and aligning with its average $0.14 per hour pricing over $0.10.

RTX 2080 Ti from $0.13/hrRTX 4070 from $0.50/hr

Specifications Compared

SpecRTX-2080RTX-4070
TDP215W200W
VRAM8-11 GB12 GB
CUDA Cores2,9445,888
Memory TypeGDDR6GDDR6X
ArchitectureTuringAda Lovelace
Form FactorsPCIePCIe
InterconnectNVLink
Tensor Cores368184
FP16 Performance10.1 TFLOPS29.1 TFLOPS
FP32 Performance10.1 TFLOPS29.1 TFLOPS
Memory Bandwidth616 GB/s504 GB/s

Performance Analysis

Raw compute power favors the RTX 4070 decisively: its 29.1 TFLOPS in FP16 and FP32 dwarfs the RTX 2080 Ti's 10.1 TFLOPS, enabling nearly three times faster matrix operations critical for deep learning. In training scenarios, this delta reduces epoch times significantly; for inference, it lowers latency in real-time deployments.

Memory bandwidth presents a counterpoint: the RTX 2080 Ti's 616 GB/s exceeds the RTX 4070's 504 GB/s, supporting larger batch sizes in bandwidth-bound workloads like high-resolution image processing. However, the RTX 4070's 12 GB VRAM versus 8 to 11 GB, combined with Ada Lovelace optimizations, mitigates this for most model sizes. Lower TDP at 200W versus 215W further enhances the RTX 4070's efficiency in prolonged cloud sessions.

Live Cloud Pricing

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

RTX 2080 Ti

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vast.ai
Vast.ai
NVIDIA GeForce RTX 2080 Ti
11GB VRAM
$0.13/GPU/hr
Available

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 2080 Ti

Select the RTX 2080 Ti for bandwidth-intensive legacy applications. Its 616 GB/s memory bandwidth outperforms the RTX 4070's 504 GB/s, ideal for simulations or rendering tasks demanding high data throughput. At starting prices of $0.06 per hour, it suits budget deployments on NVLink-supported multi-GPU setups with Turing-compatible software.

When to Choose the RTX 4070

The RTX 4070 stands out for contemporary AI and graphics workloads. With 29.1 TFLOPS FP16/FP32 performance, it accelerates training and inference far beyond the RTX 2080 Ti's 10.1 TFLOPS. Its 12 GB GDDR6X VRAM and Ada architecture ensure compatibility with latest frameworks at a modest $0.07 per hour entry cost.

Use Cases

LLM Training
RTX 4070

RTX 4070's 29.1 TFLOPS FP16 performance triples the RTX 2080 Ti's 10.1 TFLOPS, speeding up large model training. Its Ada architecture optimizes tensor operations for modern LLMs.

LLM Inference
RTX 4070

Higher 29.1 TFLOPS FP32 on RTX 4070 reduces inference latency compared to 10.1 TFLOPS on RTX 2080 Ti. 12 GB VRAM handles bigger batch sizes effectively.

Fine-tuning
RTX 4070

RTX 4070 excels with 29.1 TFLOPS compute power for efficient fine-tuning iterations over RTX 2080 Ti's 10.1 TFLOPS. Newer architecture supports advanced quantization techniques.

Stable Diffusion
Either

RTX 2080 Ti's 616 GB/s bandwidth aids high-resolution generations; RTX 4070's 29.1 TFLOPS accelerates diffusion steps. Choice depends on batch size needs.

Scientific Computing
RTX 2080 Ti

RTX 2080 Ti's superior 616 GB/s bandwidth versus 504 GB/s supports data-heavy simulations better. Lower $0.06 per hour pricing fits extended compute runs.

Frequently Asked Questions

Which GPU has higher compute performance: RTX 2080 Ti or RTX 4070?

The RTX 4070 leads with 29.1 TFLOPS in FP16 and FP32, compared to the RTX 2080 Ti's 10.1 TFLOPS. This advantage shines in AI training and inference tasks.

How much VRAM do these GPUs offer?

RTX 4070 provides 12 GB GDDR6X VRAM. RTX 2080 Ti offers 8 to 11 GB GDDR6, suitable for smaller models but limiting for very large ones.

What are the memory bandwidth differences?

RTX 2080 Ti achieves 616 GB/s bandwidth. RTX 4070 reaches 504 GB/s, which impacts large batch processing but is offset by architectural improvements.

Which is cheaper in the cloud?

RTX 2080 Ti starts at $0.06 per hour, averaging $0.10 across 4 offers. RTX 4070 begins at $0.07 per hour, averaging $0.14 across 2 offers.

What are the power requirements?

RTX 4070 has a 200W TDP, lower than the RTX 2080 Ti's 215W. This makes RTX 4070 more efficient for dense cloud deployments.

Do they support the same form factors?

Both GPUs use PCIe form factors. RTX 2080 Ti additionally supports NVLink interconnect for multi-GPU configurations.

Which is cheaper to rent, the RTX 2080 or the RTX 4070?

Cloud rental prices for both the RTX 2080 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 2080 have compared to the RTX 4070?

The RTX 2080 has 8 to 11 GB of GDDR6 memory. The RTX 4070 has 12 GB of GDDR6X memory.

Can I find RTX 2080 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 2080 and the RTX 4070?

The RTX 2080 uses the Turing architecture (2018) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 2.9x the FP16 throughput and 1.2x the memory bandwidth of the RTX 2080.

RTX 2080 Ti vs RTX 4070: 2.9x FP16 Gap, 12GB vs 11GB | GPUPerHour