GPU comparison

RTX 5080 vs RTX A6000

Specifications and current cloud pricing, side by side.

BlackwellvsAmpereUpdated 32 days ago

For the most common use case of LLM inference the RTX A6000 provides the stronger choice. Its 48 GB VRAM and 154.8 TFLOPS dense FP16 exceed the corresponding 16 GB and 112.6 TFLOPS figures on the RTX 5080 while the 768 GB/s bandwidth remains sufficient for typical batch sizes.

RTX 5080 listed from $0.59/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 (7)

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Specifications Compared

SpecRTX 5080RTX A6000
TDP360W300W
VRAM16 GB48 GB
CUDA Cores10,75210,752
FP4 (dense)900.4 TFLOPSNot published
FP8 (dense)225.1 TFLOPSNot published
Memory TypeGDDR7GDDR6
ArchitectureBlackwellAmpere
FP16 (dense)112.6 TFLOPS154.8 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)450.2 TOPS309.7 TOPS
InterconnectPCIe 5.0NVLink, PCIe 4.0
Tensor Cores336336
FP32 Performance56.3 TFLOPS38.7 TFLOPS
Memory Bandwidth960 GB/s768 GB/s
FP4 (with sparsity)1,801 TFLOPSNot published
FP8 (with sparsity)450.2 TFLOPSNot published
FP16 (with sparsity)225.1 TFLOPS309.6 TFLOPS
INT8 (with sparsity)900.4 TOPS619.4 TOPS

Performance Analysis

Dense FP16 performance reaches 112.6 TFLOPS on the RTX 5080 versus 154.8 TFLOPS on the RTX A6000. The same dense FP16 comparison shows the RTX A6000 ahead by the ratio of 154.8 to 112.6. With sparsity the RTX 5080 reaches 225.1 TFLOPS while the RTX A6000 reaches 309.6 TFLOPS. FP32 figures remain 56.3 TFLOPS dense on the RTX 5080 and 38.7 TFLOPS on the RTX A6000. Memory bandwidth of 960 GB/s on the RTX 5080 exceeds the 768 GB/s on the RTX A6000 and therefore supports larger batch sizes in memory-bound inference steps. The 48 GB VRAM capacity on the RTX A6000 permits larger model footprints than the 16 GB capacity on the RTX 5080.

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 5080

RTX 5080 is not offered on-demand by any provider we track right now. See the RTX 5080 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-32$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, 43 offers (cheapest per provider shown). All RTX A6000 offers, price history and alerts

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When to Choose the RTX 5080

The RTX 5080 suits inference pipelines that require the 960 GB/s bandwidth figure together with dense FP16 at 112.6 TFLOPS. Its PCIe 5.0 interconnect and 360W TDP align with compact server deployments that prioritize throughput per watt in FP8 dense workloads listed at 225.1 TFLOPS. Workloads that fit within 16 GB GDDR7 benefit from the higher bandwidth without needing additional VRAM.

When to Choose the RTX A6000

The RTX A6000 fits training sessions that need the 48 GB GDDR6 capacity and dense FP16 at 154.8 TFLOPS. NVLink support and 300W TDP allow multi-GPU scaling for models that exceed 16 GB. INT8 dense performance at 309.7 TOPS further favors the RTX A6000 in quantized inference scenarios that demand large batch memory.

Use Cases

LLM Training
RTX A6000

The 48 GB GDDR6 capacity accommodates larger models than the 16 GB on the RTX 5080 while dense FP16 reaches 154.8 TFLOPS.

LLM Inference
RTX A6000

Dense FP16 at 154.8 TFLOPS combined with 48 GB VRAM supports larger batch sizes than the 112.6 TFLOPS and 16 GB on the RTX 5080.

Fine-tuning
RTX A6000

The 48 GB capacity and 309.7 TOPS dense INT8 allow fine-tuning runs that exceed the 16 GB limit of the RTX 5080.

Stable Diffusion
RTX 5080

The 960 GB/s bandwidth and 225.1 TFLOPS dense FP8 accelerate generation steps that fit inside 16 GB GDDR7.

Scientific Computing
RTX A6000

Dense FP32 at 38.7 TFLOPS and NVLink interconnect support multi-GPU scientific workloads beyond the PCIe-only RTX 5080.

Frequently Asked Questions

How does memory bandwidth compare on the RTX 5080 versus the RTX A6000?▾

The RTX 5080 lists 960 GB/s bandwidth compared with 768 GB/s on the RTX A6000. Higher bandwidth on the RTX 5080 aids memory-bound operations within its 16 GB limit.

Which GPU offers higher dense FP16 performance?▾

The RTX A6000 reaches 154.8 TFLOPS dense FP16 while the RTX 5080 reaches 112.6 TFLOPS dense FP16. The ratio favors the RTX A6000 for dense tensor workloads.

What TDP values are listed for each card?▾

The RTX 5080 carries a 360W TDP and the RTX A6000 carries a 300W TDP. Power delivery requirements therefore differ between the two cards.

Does the RTX A6000 support NVLink?▾

The RTX A6000 includes NVLink interconnect while the RTX 5080 uses only PCIe 5.0. Multi-GPU scaling paths therefore diverge between the cards.

What FP32 performance is published for each GPU?▾

The RTX 5080 lists 56.3 TFLOPS FP32 and the RTX A6000 lists 38.7 TFLOPS FP32. These figures guide selection for single-precision scientific codes.

Which is cheaper to rent, the RTX 5080 or the RTX A6000?▾

Cloud rental prices for both the RTX 5080 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 5080 have compared to the RTX A6000?▾

The RTX 5080 has 16 GB of GDDR7 memory. The RTX A6000 has 48 GB of GDDR6 memory.

Can I find RTX 5080 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 5080 and the RTX A6000?▾

The RTX 5080 uses the Blackwell architecture (2025) while the RTX A6000 uses Ampere (2020). The RTX A6000 delivers 1.4x the dense FP16 throughput (154.8 vs 112.6 TFLOPS, both without sparsity) while the RTX 5080 has 1.3x 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 5080 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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