GPU comparison

RTX 3090 vs RTX A6000

Specifications and current cloud pricing, side by side.

AmperevsAmpereUpdated 32 days ago

The RTX A6000 represents the stronger choice for the most common use case of large model training. Its 48 GB VRAM capacity combined with 154.8 TFLOPS FP16 dense performance exceeds the corresponding 24 GB and 71 TFLOPS figures on the RTX 3090.

RTX 3090 from $0.29/GPU/hrRTX A6000 from $0.44/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 3090 at $0.29/hr on LeaderGPU

    Deploy
  • Most providers in stock: RTX A6000 (7)

    See all offers
  • Best $ per TFLOPS FP16 dense right now: RTX A6000 ($0.0029 per TFLOPS-hour at 154.8 TFLOPS)

    Deploy

Specifications Compared

SpecRTX 3090RTX A6000
TDP350W300W
VRAM24 GB48 GB
CUDA Cores10,49610,752
Memory TypeGDDR6XGDDR6
ArchitectureAmpereAmpere
FP16 (dense)71 TFLOPS154.8 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)284 TOPS309.7 TOPS
InterconnectNVLink, PCIe 4.0NVLink, PCIe 4.0
Tensor Cores328336
FP32 Performance35.6 TFLOPS38.7 TFLOPS
Memory Bandwidth936 GB/s768 GB/s
FP16 (with sparsity)142 TFLOPS309.6 TFLOPS
INT8 (with sparsity)568 TOPS619.4 TOPS

Performance Analysis

The FP16 dense performance reaches 71 TFLOPS on the RTX 3090 compared to 154.8 TFLOPS on the RTX A6000. This difference allows the RTX A6000 to process larger batches during training and inference operations that rely on dense tensor computations. The FP32 rating stands at 35.6 TFLOPS for the RTX 3090 and 38.7 TFLOPS for the RTX A6000. Memory bandwidth of 936 GB/s on the RTX 3090 exceeds the 768 GB/s on the RTX A6000 and therefore supports higher throughput in bandwidth constrained workloads.

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 3090

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
LeaderGPUThe Netherlands8$0.29$2.29Deploy
Vast.aiCzechia, CZ4$0.37$1.48Deploy

2 providers in stock, 9 offers (cheapest per provider shown). All RTX 3090 offers, price history and alerts

RTX A6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
LeaderGPUThe Netherlands8$0.44$3.54Deploy
QuantaCloudus-midwest-22$0.48$0.96Deploy
HyperstackCANADA-11$0.50—Deploy
Massed Computeus-central-21$0.55—Deploy
VERDAFIN-HEL4$0.76$3.02Deploy

7 providers in stock, 46 offers (cheapest per provider shown). All RTX A6000 offers, price history and alerts

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When to Choose the RTX 3090

The RTX 3090 fits workloads that require the 936 GB/s memory bandwidth to maintain data flow rates. Its 350W TDP rating remains acceptable when power delivery supports the higher consumption level and the 24 GB VRAM capacity meets model size needs.

When to Choose the RTX A6000

The RTX A6000 fits workloads that require the 48 GB VRAM capacity to load larger models. Its 300W TDP rating and 154.8 TFLOPS FP16 dense performance provide efficiency advantages when memory capacity limits the RTX 3090.

Use Cases

LLM Training
RTX A6000

The RTX A6000 supplies 48 GB VRAM and 154.8 TFLOPS FP16 dense performance to accommodate larger models than the 24 GB and 71 TFLOPS FP16 dense on the RTX 3090.

LLM Inference
RTX A6000

The RTX A6000 delivers 309.7 TOPS INT8 dense performance and 48 GB VRAM which exceed the 284 TOPS INT8 dense and 24 GB on the RTX 3090.

Fine-tuning
RTX A6000

The RTX A6000 provides 48 GB VRAM and 154.8 TFLOPS FP16 dense to handle fine-tuning of models that exceed the 24 GB limit of the RTX 3090.

Stable Diffusion
RTX 3090

The RTX 3090 supplies 936 GB/s memory bandwidth to accelerate data movement in diffusion workloads despite its 24 GB VRAM.

Scientific Computing
RTX A6000

The RTX A6000 offers 38.7 TFLOPS FP32 and 48 GB VRAM which support larger scientific datasets than the 35.6 TFLOPS FP32 and 24 GB on the RTX 3090.

Frequently Asked Questions

What are the FP16 dense ratings for these GPUs?▾

The RTX 3090 reaches 71 TFLOPS FP16 dense and the RTX A6000 reaches 154.8 TFLOPS FP16 dense.

Which GPU has higher memory bandwidth?▾

The RTX 3090 has 936 GB/s memory bandwidth compared to 768 GB/s on the RTX A6000.

What TDP ratings apply to the RTX 3090 and RTX A6000?▾

The RTX 3090 has a 350W TDP and the RTX A6000 has a 300W TDP.

Do both GPUs support the same interconnects?▾

Both the RTX 3090 and the RTX A6000 support NVLink and PCIe 4.0 interconnects.

What FP32 performance do these models deliver?▾

The RTX 3090 delivers 35.6 TFLOPS FP32 and the RTX A6000 delivers 38.7 TFLOPS FP32.

Which is cheaper to rent, the RTX 3090 or the RTX A6000?▾

Cloud rental prices for both the RTX 3090 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 3090 have compared to the RTX A6000?▾

The RTX 3090 has 24 GB of GDDR6X memory. The RTX A6000 has 48 GB of GDDR6 memory.

Can I find RTX 3090 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 3090 and the RTX A6000?▾

The RTX 3090 uses the Ampere architecture (2020) while the RTX A6000 uses Ampere (2020). The RTX A6000 delivers 2.2x the dense FP16 throughput (154.8 vs 71 TFLOPS, both without sparsity) while the RTX 3090 has 1.2x the memory bandwidth of the RTX A6000.

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 3090 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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