GTX 1080 vs RTX A4500

PascalvsAmpereUpdated 35 days ago

The RTX A4500 emerges as the clear winner for most cloud GPU use cases: its 19.2 TFLOPS compute, 16 GB VRAM, and 448 GB/s bandwidth outperform the GTX 1080's 8.9 TFLOPS, 8-11 GB VRAM, and 320 GB/s, while averaging $0.19 per hour versus $0.30.

GTX 1080 from $0.30/hrRTX A4500 from $0.08/hr

Specifications Compared

SpecGTX-1080RTX-A4000
TDP180W140W
VRAM8-11 GB16 GB
CUDA Cores2,5606,144
Memory TypeGDDR5XGDDR6
ArchitecturePascalAmpere
Form FactorsPCIePCIe
Interconnect
FP16 Performance8.9 TFLOPS19.2 TFLOPS
FP32 Performance8.9 TFLOPS19.2 TFLOPS
Memory Bandwidth320 GB/s448 GB/s

Performance Analysis

The RTX A4500 delivers 19.2 TFLOPS in FP16 and FP32, more than doubling the GTX 1080's 8.9 TFLOPS: this accelerates machine learning training and inference, especially for half-precision optimized models common in deep learning. Training large neural networks benefits from the RTX A4500's higher throughput, potentially halving iteration times on equivalent datasets.

Memory bandwidth of 448 GB/s on the RTX A4500 surpasses the GTX 1080's 320 GB/s, enabling larger batch sizes without bottlenecks and improving overall workflow efficiency. The RTX A4500's 16 GB VRAM capacity handles models exceeding 8 to 11 GB on the GTX 1080, avoiding out-of-memory errors during inference or fine-tuning. Lower 140W TDP enhances sustained cloud performance by minimizing thermal throttling risks.

Live Cloud Pricing

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

GTX 1080

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
LeaderGPU
LeaderGPU
4×NVIDIA GeForce GTX 1080
8GB VRAM
$0.30/GPU/hr
$1.20/hr total (4×)
Available
LeaderGPU
LeaderGPU
8×NVIDIA GeForce GTX 1080 Ti
11GB VRAM
$0.60/GPU/hr
$4.80/hr total (8×)
Available

RTX A4500

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
TensorDock
TensorDock
NVIDIA RTX A4000
16GB VRAM
$0.08/GPU/hr
Available
Vast.ai
Vast.ai
8×NVIDIA RTX A4000
16GB VRAM
$0.15/GPU/hr
$1.17/hr total (8×)
Available
Hyperstack
Hyperstack
4×NVIDIA RTX A4000
16GB VRAM
$0.15/GPU/hr
$0.60/hr total (4×)
Available
Hyperstack
Hyperstack
2×NVIDIA RTX A4000
16GB VRAM
$0.15/GPU/hr
$0.30/hr total (2×)
Available
Hyperstack
Hyperstack
NVIDIA RTX A4000
16GB VRAM
$0.15/GPU/hr
Available

Compare real-time pricing across 25+ providers

When to Choose the GTX 1080

The GTX 1080 fits legacy software ecosystems optimized for Pascal architecture, where compatibility with older CUDA versions prevents issues on Ampere-based RTX A4500. Its 8.9 TFLOPS FP32 performance suffices for lightweight inference tasks not exceeding 8 GB VRAM. Availability as the sole $0.30 per hour option appeals when RTX A4500 instances are scarce.

When to Choose the RTX A4500

The RTX A4500 excels in modern AI workloads requiring over 11 GB VRAM or 320 GB/s bandwidth, such as training mid-sized LLMs. Its 19.2 TFLOPS FP16 doubles GTX 1080 speeds for inference, paired with lower $0.19 average hourly cost across four offers. Reduced 140W TDP supports dense cloud deployments efficiently.

Use Cases

LLM Training
RTX A4500

RTX A4500's 16 GB VRAM and 19.2 TFLOPS FP16 support larger models and batches than GTX 1080's 8-11 GB and 8.9 TFLOPS. Higher 448 GB/s bandwidth prevents memory bottlenecks during training.

LLM Inference
RTX A4500

The 19.2 TFLOPS FP16 on RTX A4500 delivers over twice the throughput of GTX 1080's 8.9 TFLOPS for real-time inference. 16 GB VRAM accommodates bigger models without quantization.

Fine-tuning
RTX A4500

RTX A4500's 448 GB/s bandwidth and 16 GB VRAM enable efficient fine-tuning of models up to 12 GB, surpassing GTX 1080 limits. Lower $0.19/hr cost optimizes iterative workflows.

Stable Diffusion
RTX A4500

RTX A4500 handles high-resolution Stable Diffusion with 19.2 TFLOPS and 16 GB VRAM, generating images faster than GTX 1080's 8.9 TFLOPS and 8-11 GB capacity.

Scientific Computing
Either

Light simulations fit GTX 1080's 8.9 TFLOPS FP32 at $0.30/hr, but demanding HPC prefers RTX A4500's 19.2 TFLOPS and 140W TDP for scale.

Frequently Asked Questions

What is the VRAM difference between GTX 1080 and RTX A4500?

The GTX 1080 has 8 to 11 GB GDDR5X VRAM, while the RTX A4500 provides 16 GB GDDR6. This allows RTX A4500 to load larger models without memory errors. Bandwidth reaches 448 GB/s on RTX A4500 versus 320 GB/s.

Which has better FP32 performance?

RTX A4500 achieves 19.2 TFLOPS FP32, more than double the GTX 1080's 8.9 TFLOPS. This boosts compute-intensive tasks like simulations. FP16 matches at 19.2 TFLOPS versus 8.9 TFLOPS.

How do cloud prices compare?

GTX 1080 averages $0.30 per hour across one offer, higher than RTX A4500's $0.19 average from $0.10 across four offers. RTX A4500 offers better value for performance. Prices reflect live cloud availability.

What are the TDP ratings?

GTX 1080 consumes 180W TDP, exceeding RTX A4500's 140W. Lower TDP on RTX A4500 reduces cloud power costs. Both use PCIe form factors.

Is RTX A4500 newer than GTX 1080?

RTX A4500 uses 2021 Ampere architecture, versus GTX 1080's 2016 Pascal. This generational gap yields 19.2 TFLOPS over 8.9 TFLOPS. Ampere supports advanced features like improved tensor cores.

Can GTX 1080 handle AI training?

GTX 1080 manages small-scale training with 8.9 TFLOPS FP16 and 8-11 GB VRAM. Larger models exceed its capacity, favoring RTX A4500's 16 GB and 19.2 TFLOPS. Bandwidth limits batch sizes at 320 GB/s.

Which is cheaper to rent, the GTX 1080 or the RTX A4000?

Cloud rental prices for both the GTX 1080 and RTX A4000 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 GTX 1080 have compared to the RTX A4000?

The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX A4000 has 16 GB of GDDR6 memory.

Can I find GTX 1080 and RTX A4000 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 GTX 1080 and the RTX A4000?

The GTX 1080 uses the Pascal architecture (2016) while the RTX A4000 uses Ampere (2021). The RTX A4000 delivers 2.2x the FP16 throughput and 1.4x the memory bandwidth of the GTX 1080.