GPU comparison

RTX 2080 vs RTX A6000

Specifications and current cloud pricing, side by side.

TuringvsAmpereUpdated 33 days ago

The RTX A6000 provides the stronger option for the most common use cases due to its 48 GB VRAM capacity and dense FP16 rating of 154.8 TFLOPS compared with the RTX 2080 specifications.

RTX 2080 listed from $0.12/GPU/hrRTX A6000 listed from $0.44/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX A6000 at $0.44/hr on LeaderGPU

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  • Most providers in stock: RTX A6000 (6)

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Specifications Compared

SpecRTX 2080RTX A6000
TDP215W300W
VRAM8-11 GB48 GB
CUDA Cores2,94410,752
Memory TypeGDDR6GDDR6
ArchitectureTuringAmpere
FP16 (dense)40.3 TFLOPS154.8 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)161.1 TOPS309.7 TOPS
InterconnectNVLink, PCIe 3.0NVLink, PCIe 4.0
Tensor Cores368336
FP32 Performance10 TFLOPS38.7 TFLOPS
Memory Bandwidth448 GB/s768 GB/s
FP16 (with sparsity)Not published309.6 TFLOPS
INT8 (with sparsity)Not published619.4 TOPS

Performance Analysis

Dense FP16 performance stands at 40.3 TFLOPS for the RTX 2080 and 154.8 TFLOPS for the RTX A6000. This difference indicates the RTX A6000 processes dense FP16 operations at a higher rate than the RTX 2080. Dense FP32 performance reaches 10 TFLOPS on the RTX 2080 and 38.7 TFLOPS on the RTX A6000. Memory bandwidth of 448 GB per second on the RTX 2080 versus 768 GB per second on the RTX A6000 affects the feasible batch sizes during training or inference operations. Dense INT8 performance measures 161.1 TOPS for the RTX 2080 and 309.7 TOPS for the RTX A6000.

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 2080

RTX 2080 is not offered on-demand by any provider we track right now. See the RTX 2080 rental page for last-seen listed prices and a price alert.

RTX A6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
LeaderGPUThe Netherlands8$0.44$3.54Deploy
QuantaCloudus-midwest-22$0.48$0.96Deploy
HyperstackCANADA-12$0.50$1.00Deploy
Massed Computeus-central-22$0.55$1.10Deploy
RunPodglobal1$0.59—Deploy

6 providers in stock, 50 offers (cheapest per provider shown). All RTX A6000 offers, price history and alerts

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When to Choose the RTX 2080

The RTX 2080 fits scenarios that prioritize lower power draw at 215 W over maximum throughput. Workloads that operate within 8 GB to 11 GB of VRAM and require dense FP16 at 40.3 TFLOPS benefit from this selection when higher memory capacity remains unnecessary.

When to Choose the RTX A6000

The RTX A6000 suits tasks that demand 48 GB of VRAM and dense FP16 performance at 154.8 TFLOPS. Applications that scale with 768 GB per second memory bandwidth and dense FP32 at 38.7 TFLOPS gain from this configuration when power consumption at 300 W presents no constraint.

Use Cases

LLM Training
RTX A6000

The RTX A6000 supplies 48 GB VRAM and dense FP16 performance of 154.8 TFLOPS while the RTX 2080 provides between 8 GB and 11 GB VRAM with dense FP16 at 40.3 TFLOPS.

LLM Inference
RTX A6000

The RTX A6000 delivers dense INT8 performance of 309.7 TOPS and 768 GB per second bandwidth compared with 161.1 TOPS and 448 GB per second on the RTX 2080.

Fine-tuning
RTX A6000

The RTX A6000 offers 48 GB VRAM along with dense FP32 at 38.7 TFLOPS which exceeds the 10 TFLOPS dense FP32 of the RTX 2080.

Stable Diffusion
RTX A6000

The RTX A6000 provides 48 GB VRAM and 768 GB per second memory bandwidth that support larger models than the 8 GB to 11 GB and 448 GB per second on the RTX 2080.

Scientific Computing
Either

The RTX 2080 at 215 W TDP and dense FP32 of 10 TFLOPS meets lighter requirements while the RTX A6000 at 300 W TDP and 38.7 TFLOPS dense FP32 handles heavier demands.

Frequently Asked Questions

What is the memory bandwidth for the RTX 2080 and RTX A6000?▾

The RTX 2080 reaches 448 GB per second memory bandwidth. The RTX A6000 reaches 768 GB per second memory bandwidth.

What are the dense FP16 ratings for these GPUs?▾

The RTX 2080 achieves 40.3 TFLOPS in dense FP16. The RTX A6000 achieves 154.8 TFLOPS in dense FP16.

How do the FP32 figures compare?▾

The RTX 2080 lists 10 TFLOPS dense FP32. The RTX A6000 lists 38.7 TFLOPS dense FP32.

What TDP values apply to each card?▾

The RTX 2080 operates at a TDP of 215 W. The RTX A6000 operates at a TDP of 300 W.

Which GPU supports higher dense INT8 performance?▾

The RTX 2080 reaches 161.1 TOPS in dense INT8. The RTX A6000 reaches 309.7 TOPS in dense INT8.

Which is cheaper to rent, the RTX 2080 or the RTX A6000?▾

Cloud rental prices for both the RTX 2080 and RTX A6000 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 A6000?▾

The RTX 2080 has 8 to 11 GB of GDDR6 memory. The RTX A6000 has 48 GB of GDDR6 memory.

Can I find RTX 2080 and RTX A6000 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 A6000?▾

The RTX 2080 uses the Turing architecture (2018) while the RTX A6000 uses Ampere (2020). The RTX A6000 delivers 3.8x the dense FP16 throughput (154.8 vs 40.3 TFLOPS, both without sparsity) and 1.7x the memory bandwidth of the RTX 2080.

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 RTX 2080 and the RTX A6000. 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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