GPU comparison

RTX 3080 vs RTX A5000

Specifications and current cloud pricing, side by side.

AmperevsAmpereUpdated 33 days ago

The RTX A5000 emerges as the stronger choice for the most common use case of LLM inference because its 24 GB memory and 222.2 TFLOPS in FP16 with sparsity accommodate larger batches than the RTX 3080 specifications allow.

RTX 3080 listed from $0.13/GPU/hrRTX A5000 listed from $1.38/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX A5000 at $1.38/hr on Paperspace

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  • Most providers in stock: RTX A5000 (1)

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Specifications Compared

SpecRTX 3080RTX A5000
TDP320W230W
VRAM10-12 GB24 GB
CUDA Cores8,7048,192
Memory TypeGDDR6XGDDR6
ArchitectureAmpereAmpere
FP16 (dense)59.5 TFLOPSNot published
Form FactorsPCIePCIe
INT8 (dense)238 TOPSNot published
InterconnectPCIe 4.0NVLink, PCIe 4.0
Tensor Cores272256
FP32 Performance29.8 TFLOPS27.8 TFLOPS
Memory Bandwidth760 GB/s768 GB/s
FP16 (with sparsity)119 TFLOPS222.2 TFLOPS
INT8 (with sparsity)476 TOPSNot published

Performance Analysis

The RTX 3080 achieves 59.5 TFLOPS in dense FP16 and 119 TFLOPS in FP16 with sparsity whereas the RTX A5000 reaches 222.2 TFLOPS in FP16 with sparsity. The higher sparse FP16 rating on the RTX A5000 supports larger model handling during inference steps that benefit from sparsity acceleration. The RTX 3080 lists 238 TOPS in dense INT8 and 476 TOPS in INT8 with sparsity for workloads that rely on those formats. Memory bandwidth of 760 GB/s on the RTX 3080 versus 768 GB/s on the RTX A5000 influences achievable batch sizes in memory bound operations with the RTX A5000 holding a marginal edge. FP32 figures of 29.8 TFLOPS and 27.8 TFLOPS indicate comparable throughput for single precision scientific kernels.

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.

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.

RTX A5000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceams11$1.38—Deploy

1 provider in stock, 6 offers (cheapest per provider shown). All RTX A5000 offers, price history and alerts

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When to Choose the RTX 3080

The RTX 3080 suits scenarios that require dense INT8 performance at 238 TOPS or dense FP16 performance at 59.5 TFLOPS. Its PCIe only interconnect matches environments without NVLink infrastructure. The 320 W TDP remains acceptable where power limits allow higher tensor throughput in dense formats.

When to Choose the RTX A5000

The RTX A5000 fits tasks that need 24 GB memory capacity and 222.2 TFLOPS in FP16 with sparsity. Its 230 W TDP reduces power draw in sustained operations. NVLink support alongside PCIe 4.0 enables multi GPU scaling in compatible systems.

Use Cases

LLM Training
RTX A5000

The RTX A5000 supplies 24 GB memory and 222.2 TFLOPS in FP16 with sparsity for handling larger training batches.

LLM Inference
RTX A5000

The RTX A5000 delivers 222.2 TFLOPS in FP16 with sparsity together with 24 GB memory that supports extended context lengths.

Fine-tuning
RTX A5000

The RTX A5000 provides 24 GB memory capacity that exceeds the 10 to 12 GB on the RTX 3080 for fine tuning larger models.

Stable Diffusion
RTX 3080

Scientific Computing
Either

FP32 ratings of 29.8 TFLOPS on the RTX 3080 and 27.8 TFLOPS on the RTX A5000 remain close for single precision tasks.

Frequently Asked Questions

What is the memory difference between RTX 3080 and RTX A5000?▾

The RTX 3080 contains 10 to 12 GB GDDR6X while the RTX A5000 contains 24 GB GDDR6. This capacity gap affects maximum model size that fits in memory during inference or training.

How does FP16 performance compare on RTX 3080 versus RTX A5000?▾

The RTX 3080 reaches 59.5 TFLOPS dense FP16 and 119 TFLOPS FP16 with sparsity. The RTX A5000 reaches 222.2 TFLOPS FP16 with sparsity. Direct comparison uses the sparse figures for both cards.

Which GPU has lower power consumption?▾

The RTX A5000 operates at 230 W TDP compared with 320 W TDP on the RTX 3080. Lower power draw reduces operating costs in continuous cloud deployments.

Does the RTX A5000 support NVLink?▾

The RTX A5000 includes NVLink interconnect in addition to PCIe 4.0. The RTX 3080 supports only PCIe 4.0 interconnect.

What INT8 performance does the RTX 3080 provide?▾

The RTX 3080 lists 238 TOPS in dense INT8 and 476 TOPS in INT8 with sparsity. The RTX A5000 does not publish INT8 figures.

Which is cheaper to rent, the RTX 3080 or the RTX A5000?▾

Cloud rental prices for both the RTX 3080 and RTX A5000 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 A5000?▾

The RTX 3080 has 10 to 12 GB of GDDR6X memory. The RTX A5000 has 24 GB of GDDR6 memory.

Can I find RTX 3080 and RTX A5000 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 A5000?▾

The RTX 3080 uses the Ampere architecture (2020) while the RTX A5000 uses Ampere (2021). The RTX 3080 has 10-12 GB of GDDR6X at 760 GB/s; the RTX A5000 has 24 GB of GDDR6 at 768 GB/s, so the RTX A5000 has 1.0x the memory bandwidth of the RTX 3080.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX 3080 and the RTX A5000. 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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