GPU comparison

A100 vs RTX 3080

Specifications and current cloud pricing, side by side.

AmperevsAmpereUpdated 34 days ago

The A100 wins for the most common large model training and inference use case. Its 312 TFLOPS dense FP16 combined with 40 to 80 GB HBM2e memory and 2039 GB/s bandwidth provide the capacity and throughput required for those tasks.

A100 listed from $0.67/GPU/hrRTX 3080 listed from $0.13/GPU/hr

Right now, from live stock

Specifications Compared

SpecA100RTX 3080
TDP400W320W
VRAM40-80 GB10-12 GB
CUDA Cores6,9128,704
Memory TypeHBM2eGDDR6X
ArchitectureAmpereAmpere
FP16 (dense)312 TFLOPS59.5 TFLOPS
Form FactorsSXM4, PCIePCIe
INT8 (dense)624 TOPS238 TOPS
InterconnectNVLink, PCIe 4.0, InfiniBandPCIe 4.0
Tensor Cores432272
FP32 Performance19.5 TFLOPS29.8 TFLOPS
FP64 Performance9.7 TFLOPSNot published
Memory Bandwidth2,039 GB/s760 GB/s
FP16 (with sparsity)624 TFLOPS119 TFLOPS
INT8 (with sparsity)1,248 TOPS476 TOPS

Performance Analysis

The A100 dense FP16 figure of 312 TFLOPS exceeds the RTX 3080 dense FP16 figure of 59.5 TFLOPS by a factor of 5.24. This gap allows larger batch sizes during training and inference when dense FP16 is used. The RTX 3080 FP32 figure of 29.8 TFLOPS exceeds the A100 FP32 figure of 19.5 TFLOPS. Memory bandwidth of 2039 GB/s on the A100 versus 760 GB/s on the RTX 3080 further widens the difference in achievable batch sizes for memory intensive workloads. When sparsity is applied the A100 reaches 624 TFLOPS FP16 while the RTX 3080 reaches 119 TFLOPS FP16.

Current On-Demand Offers

Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.

A100

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiSlovenia, SI1$0.67—Deploy
LeaderGPUThe Netherlands8$0.68$5.42Deploy
ThunderComputeUSA2$1.09$2.18Deploy
HyperstackCANADA-12$1.35$2.70Deploy
Massed Computeus-central-31$1.35—Deploy

10 providers in stock, 36 offers (cheapest per provider shown). All A100 offers, price history and alerts

RTX 3080

RTX 3080 is not offered on-demand by any provider we track right now. See the RTX 3080 rental page for last-seen listed prices and a price alert.

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Notify me when A100 drops below a price

One email when the cheapest in-stock on-demand price per GPU-hour falls below your threshold. Cheapest right now: $0.67/GPU-hr.

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When to Choose the A100

The A100 suits workloads that require 40 to 80 GB HBM2e memory and 2039 GB/s bandwidth. Its 312 TFLOPS dense FP16 and 624 TOPS dense INT8 support large scale matrix operations that exceed the capacity of 10 to 12 GB GDDR6X memory.

When to Choose the RTX 3080

The RTX 3080 suits workloads that require 29.8 TFLOPS FP32 and fit within 10 to 12 GB GDDR6X memory. Its 320W TDP allows deployment in systems where the 400W TDP of the A100 exceeds power limits.

Use Cases

LLM Training
A100

The A100 supplies 312 TFLOPS dense FP16 and 40 to 80 GB HBM2e memory that accommodate large models.

LLM Inference
A100

The A100 supplies 624 TOPS dense INT8 and 2039 GB/s bandwidth that sustain high throughput for large batches.

Fine-tuning
A100

The A100 supplies 312 TFLOPS dense FP16 and 40 to 80 GB HBM2e memory that support gradient updates on sizable datasets.

Stable Diffusion
RTX 3080

The RTX 3080 supplies 29.8 TFLOPS FP32 and fits within 10 to 12 GB GDDR6X memory for typical image generation workloads.

Scientific Computing
Either

The A100 supplies 19.5 TFLOPS FP32 while the RTX 3080 supplies 29.8 TFLOPS FP32 so selection depends on model size.

Frequently Asked Questions

How does A100 FP16 performance compare to RTX 3080 FP16 performance?▾

The A100 reaches 312 TFLOPS dense FP16. The RTX 3080 reaches 59.5 TFLOPS dense FP16. The A100 also reaches 624 TFLOPS FP16 with sparsity while the RTX 3080 reaches 119 TFLOPS FP16 with sparsity.

What memory configurations distinguish the A100 from the RTX 3080?▾

The A100 provides 40 to 80 GB HBM2e memory with 2039 GB/s bandwidth. The RTX 3080 provides 10 to 12 GB GDDR6X memory with 760 GB/s bandwidth.

How do the TDP ratings differ between the A100 and the RTX 3080?▾

The A100 carries a 400W TDP rating. The RTX 3080 carries a 320W TDP rating.

What interconnect options exist on each GPU?▾

The A100 supports NVLink together with PCIe 4.0 and InfiniBand. The RTX 3080 supports only PCIe 4.0.

How do INT8 figures compare on the two GPUs?▾

The A100 reaches 624 TOPS dense INT8 and 1,248 TOPS INT8 with sparsity. The RTX 3080 reaches 238 TOPS dense INT8 and 476 TOPS INT8 with sparsity.

Which is cheaper to rent, the A100 or the RTX 3080?▾

Cloud rental prices for both the A100 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 A100 have compared to the RTX 3080?▾

The A100 has 40 to 80 GB of HBM2e memory. The RTX 3080 has 10 to 12 GB of GDDR6X memory.

Can I find A100 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 A100 and the RTX 3080?▾

The A100 uses the Ampere architecture (2020) while the RTX 3080 uses Ampere (2020). The A100 delivers 5.2x the dense FP16 throughput (312 vs 59.5 TFLOPS, both without sparsity) and 2.7x the memory bandwidth of the RTX 3080.

Rent these GPUs

Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.

Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the A100 and the RTX 3080. Dense and sparse throughput are listed separately.
  • Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
  • The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
  • Read how we collect the data, or report an error on this page.

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