RTX 3080 vs RTX 4070 Ti SUPER

AmperevsAda LovelaceUpdated 35 days ago

The RTX 3080 claims victory for prevalent cloud AI tasks like training and inference. Superior 760 GB/s bandwidth handles real-world memory demands better than the RTX 4070 Ti SUPER's 504 GB/s, while $0.13 average hourly pricing across more providers delivers stronger value at near-identical 29.8 versus 29.1 TFLOPS compute.

RTX 4070 Ti SUPER from $0.50/hr

Specifications Compared

SpecRTX-3080RTX-4070
TDP320W200W
VRAM10-12 GB12 GB
CUDA Cores8,7045,888
Memory TypeGDDR6XGDDR6X
ArchitectureAmpereAda Lovelace
Form FactorsPCIePCIe
Interconnect
Tensor Cores272184
FP16 Performance29.8 TFLOPS29.1 TFLOPS
FP32 Performance29.8 TFLOPS29.1 TFLOPS
Memory Bandwidth760 GB/s504 GB/s

Performance Analysis

FP16 and FP32 performance remains tightly matched between these GPUs: the RTX 3080 achieves 29.8 TFLOPS in both metrics, while the RTX 4070 Ti SUPER delivers 29.1 TFLOPS, a difference of under 3 percent. This equivalence implies comparable speeds for deep learning training and inference on models like transformers, where tensor core throughput dominates. Memory bandwidth reveals a substantial gap: 760 GB/s on the RTX 3080 surpasses 504 GB/s on the RTX 4070 Ti SUPER by 51 percent, enabling larger batch sizes in training and faster data movement for memory-bound inference. VRAM capacities align closely at 10 to 12 GB versus 12 GB, sufficient for most mid-scale models. Power draw varies significantly, with the RTX 3080's 320W TDP exceeding the RTX 4070 Ti SUPER's 200W by 60 percent; this favors Ada Lovelace for efficiency in sustained workloads, potentially halving energy costs per TFLOP.

Live Cloud Pricing

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

RTX 4070 Ti SUPER

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 3080

The RTX 3080 suits bandwidth-intensive applications such as image generation or simulations. Its 760 GB/s memory bandwidth, 51 percent higher than the RTX 4070 Ti SUPER's 504 GB/s, supports expansive batch sizes and reduces bottlenecks in data-heavy tasks. Cloud pricing provides an edge, starting at $0.06 per hour with an average of $0.13 across four offers, versus $0.09 and $0.17 for the competitor.

When to Choose the RTX 4070 Ti SUPER

Opt for the RTX 4070 Ti SUPER in power-limited setups or efficiency-focused deployments. The 200W TDP, 37.5 percent lower than the RTX 3080's 320W, enables more instances per server and cuts cooling demands. Newer Ada Lovelace architecture enhances AI-specific features despite matched 29.1 TFLOPS FP32 performance.

Use Cases

LLM Training
RTX 3080

RTX 3080's 760 GB/s bandwidth exceeds 504 GB/s, supporting larger batches for faster training convergence. Pricing at $0.06 to $0.13 per hour stretches budgets further.

LLM Inference
Either

FP16 performance aligns at 29.8 TFLOPS versus 29.1 TFLOPS, yielding similar latencies. Choice hinges on power needs: 200W TDP for RTX 4070 Ti SUPER or bandwidth for RTX 3080.

Fine-tuning
RTX 4070 Ti SUPER

RTX 4070 Ti SUPER's Ada architecture and 200W TDP optimize iterative fine-tuning efficiency. 12 GB VRAM matches needs without excess power draw.

Stable Diffusion
RTX 3080

High 760 GB/s bandwidth accelerates texture loading and generation over 504 GB/s. Cost advantage at average $0.13 per hour bolsters extended sessions.

Scientific Computing
RTX 3080

RTX 3080's bandwidth edge handles matrix operations and simulations superiorly. 29.8 TFLOPS FP32 pairs with lower $0.13 hourly average for value.

Frequently Asked Questions

Which GPU has higher memory bandwidth?

The RTX 3080 provides 760 GB/s, surpassing the RTX 4070 Ti SUPER's 504 GB/s by 51 percent. This benefits memory-bound workloads like large-batch training.

What are the cloud pricing differences?

RTX 3080 rentals start at $0.06 per hour, averaging $0.13 across four offers. RTX 4070 Ti SUPER begins at $0.09 per hour, averaging $0.17 across two offers.

How do VRAM amounts compare?

RTX 3080 offers 10 to 12 GB GDDR6X, while RTX 4070 Ti SUPER has 12 GB GDDR6X. Both suffice for mid-sized AI models.

Which has lower TDP?

RTX 4070 Ti SUPER consumes 200W TDP, 37.5 percent less than RTX 3080's 320W. This aids power-efficient cloud deployments.

What are the FP32 performance figures?

RTX 3080 delivers 29.8 TFLOPS FP32, slightly above RTX 4070 Ti SUPER's 29.1 TFLOPS. Real-world deltas stay under 3 percent.

Which architecture is newer?

RTX 4070 Ti SUPER uses 2023 Ada Lovelace, succeeding RTX 3080's 2020 Ampere. Ada brings refined AI tensor cores.

Which is cheaper to rent, the RTX 3080 or the RTX 4070?

Cloud rental prices for both the RTX 3080 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 3080 have compared to the RTX 4070?

The RTX 3080 has 10 to 12 GB of GDDR6X memory. The RTX 4070 has 12 GB of GDDR6X memory.

Can I find RTX 3080 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 3080 and the RTX 4070?

The RTX 3080 uses the Ampere architecture (2020) while the RTX 4070 uses Ada Lovelace (2023). The RTX 3080 delivers 1.0x the FP16 throughput and 1.5x the memory bandwidth of the RTX 4070.

RTX 3080 vs RTX 4070 Ti SUPER: 12GB vs 12GB | GPUPerHour