RTX 2080 vs RTX 4080

TuringvsAda LovelaceUpdated 36 days ago

The RTX 4080 emerges as the clear winner for most AI and compute use cases. Its 48.7 TFLOPS performance dwarfs the RTX 2080's 10.1 TFLOPS, while 16 GB VRAM and 717 GB/s bandwidth handle modern demands; the price premium from $0.11 per hour averages to $0.28 but delivers proportional value in speed.

RTX 2080 from $0.13/hrRTX 4080 from $0.50/hr

Specifications Compared

SpecRTX-2080RTX-4080
TDP215W320W
VRAM8-11 GB16 GB
CUDA Cores2,9449,728
Memory TypeGDDR6GDDR6X
ArchitectureTuringAda Lovelace
Form FactorsPCIePCIe
InterconnectNVLink
Tensor Cores368304
FP16 Performance10.1 TFLOPS48.7 TFLOPS
FP32 Performance10.1 TFLOPS48.7 TFLOPS
Memory Bandwidth616 GB/s717 GB/s

Performance Analysis

Compute performance differs dramatically: the RTX 4080 achieves 48.7 TFLOPS in FP16 and FP32, compared to 10.1 TFLOPS on the RTX 2080, enabling nearly five times faster matrix operations critical for AI training and inference. This delta reduces training epochs and inference latency in deep learning pipelines. Memory bandwidth of 717 GB/s on the RTX 4080 exceeds the RTX 2080's 616 GB/s, supporting larger batch sizes and reducing data transfer bottlenecks during model optimization. VRAM capacity doubles to 16 GB GDDR6X on the RTX 4080 from 8 to 11 GB GDDR6 on the RTX 2080, accommodating larger models without swapping to system RAM. Higher TDP of 320W on the RTX 4080 versus 215W reflects its capability for sustained high loads, though it demands more power infrastructure. Newer Ada Lovelace architecture enhances efficiency per watt over Turing.

Live Cloud Pricing

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

RTX 2080

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

RTX 4080

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
RunPod
RunPod
NVIDIA GeForce RTX 4080 SUPER
16GB VRAM
$0.50/GPU/hr
RunPod
RunPod
NVIDIA GeForce RTX 4080
16GB VRAM
$0.50/GPU/hr

Compare real-time pricing across 25+ providers

When to Choose the RTX 2080

The RTX 2080 suits budget-limited projects with light AI inference or small-scale training. Its pricing from $0.05 per hour and average $0.09 across six offers minimizes costs for non-time-critical tasks. Lower TDP of 215W fits constrained cloud instances, and 8 to 11 GB VRAM handles modest models effectively.

When to Choose the RTX 4080

Opt for the RTX 4080 in performance-driven scenarios like large model training or high-throughput inference. Its 48.7 TFLOPS and 16 GB VRAM enable handling complex workloads infeasible on the RTX 2080's 10.1 TFLOPS and 8 to 11 GB. Bandwidth of 717 GB/s supports bigger batches despite higher average cost of $0.28 per hour.

Use Cases

LLM Training
RTX 4080

The RTX 4080's 48.7 TFLOPS in FP16 and FP32 accelerates training epochs nearly five times faster than the RTX 2080's 10.1 TFLOPS. Its 16 GB VRAM supports larger models without memory constraints.

LLM Inference
RTX 4080

Higher 48.7 TFLOPS on the RTX 4080 reduces inference latency for real-time serving compared to 10.1 TFLOPS on the RTX 2080. Bandwidth of 717 GB/s enables efficient batch processing.

Fine-tuning
RTX 4080

RTX 4080's 16 GB VRAM and 717 GB/s bandwidth manage bigger datasets during fine-tuning, outperforming the RTX 2080's 8 to 11 GB and 616 GB/s.

Stable Diffusion
RTX 4080

The RTX 4080 generates higher-resolution images faster with 48.7 TFLOPS and 16 GB VRAM, versus limitations on the RTX 2080's 10.1 TFLOPS and lower capacity.

Scientific Computing
RTX 2080

RTX 2080's lower cost from $0.05 per hour suffices for FP32 tasks at 10.1 TFLOPS with modest VRAM needs. It avoids overprovisioning for non-AI simulations.

Frequently Asked Questions

Which GPU has higher performance: RTX 2080 or RTX 4080?

The RTX 4080 delivers 48.7 TFLOPS in FP16 and FP32, compared to 10.1 TFLOPS on the RTX 2080. This provides nearly five times the compute throughput for AI tasks.

What is the VRAM difference between RTX 2080 and RTX 4080?

RTX 2080 offers 8 to 11 GB GDDR6 VRAM, while RTX 4080 provides 16 GB GDDR6X. The RTX 4080 supports larger models without memory limitations.

How do cloud rental prices compare for these GPUs?

RTX 2080 rentals start from $0.05 per hour with an average of $0.09 across six offers. RTX 4080 begins at $0.11 per hour, averaging $0.28 across eight offers.

What are the TDP ratings?

The RTX 2080 has a TDP of 215W, suitable for lower power setups. RTX 4080 requires 320W for its enhanced performance capabilities.

Which architecture do they use?

RTX 2080 employs Turing from 2018, while RTX 4080 uses Ada Lovelace from 2022. The newer architecture improves efficiency and features.

Does memory bandwidth differ significantly?

RTX 4080 achieves 717 GB/s bandwidth versus 616 GB/s on RTX 2080. Higher bandwidth on RTX 4080 reduces bottlenecks for large batch sizes.

Which is cheaper to rent, the RTX 2080 or the RTX 4080?

Cloud rental prices for both the RTX 2080 and RTX 4080 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 4080?

The RTX 2080 has 8 to 11 GB of GDDR6 memory. The RTX 4080 has 16 GB of GDDR6X memory.

Can I find RTX 2080 and RTX 4080 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 4080?

The RTX 2080 uses the Turing architecture (2018) while the RTX 4080 uses Ada Lovelace (2022). The RTX 4080 delivers 4.8x the FP16 throughput and 1.2x the memory bandwidth of the RTX 2080.

RTX 2080 vs RTX 4080: 4.8x FP16 Gap, 16GB vs 11GB | GPUPerHour