GPU comparison

RTX 5070 vs RTX A5000

Specifications and current cloud pricing, side by side.

BlackwellvsAmpereUpdated 33 days ago

The RTX 5070 wins for the most common use case of mixed precision inference because it supplies published dense FP16 at 61.7 TFLOPS and dense FP8 at 123.5 TFLOPS together with higher FP32 throughput of 30.9 TFLOPS.

RTX 5070 listed from $0.17/GPU/hrRTX A5000 listed from $0.27/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX A5000 at $0.27/hr on RunPod

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  • Most providers in stock: RTX A5000 (2)

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Specifications Compared

SpecRTX 5070RTX A5000
TDP250W230W
VRAM12-16 GB24 GB
CUDA Cores6,1448,192
FP4 (dense)493.9 TFLOPSNot published
FP8 (dense)123.5 TFLOPSNot published
Memory TypeGDDR7GDDR6
ArchitectureBlackwellAmpere
FP16 (dense)61.7 TFLOPSNot published
Form FactorsPCIePCIe
INT8 (dense)246.9 TOPSNot published
InterconnectPCIe 5.0NVLink, PCIe 4.0
Tensor Cores192256
FP32 Performance30.9 TFLOPS27.8 TFLOPS
Memory Bandwidth672 GB/s768 GB/s
FP4 (with sparsity)987.8 TFLOPSNot published
FP8 (with sparsity)246.9 TFLOPSNot published
FP16 (with sparsity)123.5 TFLOPS222.2 TFLOPS
INT8 (with sparsity)493.9 TOPSNot published

Performance Analysis

The RTX 5070 lists dense FP16 performance at 61.7 TFLOPS while the RTX A5000 lists FP16 performance only with sparsity at 222.2 TFLOPS. Direct comparison of dense FP16 figures applies solely to the RTX 5070 because the RTX A5000 provides no dense FP16 value. Sparse FP16 comparison shows 123.5 TFLOPS on the RTX 5070 against 222.2 TFLOPS on the RTX A5000. FP32 throughput of 30.9 TFLOPS on the RTX 5070 exceeds the 27.8 TFLOPS value on the RTX A5000 by a ratio of 1.11. Memory bandwidth of 768 GB/s on the RTX A5000 exceeds the 672 GB/s value on the RTX 5070 and can support larger batch sizes during training or inference steps that move substantial activation data. TDP of 250W on the RTX 5070 exceeds the 230W rating on the RTX A5000.

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 5070

RTX 5070 is not offered on-demand by any provider we track right now. See the RTX 5070 rental page for last-seen listed prices and a price alert.

RTX A5000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.27—Deploy
Paperspaceams11$1.38—Deploy

2 providers in stock, 7 offers (cheapest per provider shown). All RTX A5000 offers, price history and alerts

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When to Choose the RTX 5070

The RTX 5070 suits workloads that require dense FP16 throughput at 61.7 TFLOPS or dense FP8 throughput at 123.5 TFLOPS. Its FP32 rating of 30.9 TFLOPS exceeds the corresponding value on the RTX A5000 and favors precision sensitive scientific computing tasks. PCIe 5.0 interconnect on the RTX 5070 provides a newer interface than the PCIe 4.0 option on the RTX A5000.

When to Choose the RTX A5000

The RTX A5000 suits workloads that require 24 GB of memory and sparse FP16 throughput listed at 222.2 TFLOPS. Its memory bandwidth of 768 GB/s exceeds the RTX 5070 value and supports larger data movements during fine tuning sessions. NVLink interconnect availability on the RTX A5000 enables multi GPU scaling not listed for the RTX 5070.

Use Cases

LLM Training
RTX A5000

The RTX A5000 supplies 24 GB memory and sparse FP16 at 222.2 TFLOPS along with 768 GB/s bandwidth that accommodates larger training batches.

LLM Inference
RTX 5070

The RTX 5070 supplies dense FP16 at 61.7 TFLOPS and dense FP8 at 123.5 TFLOPS that enable efficient low precision inference paths.

Fine-tuning
RTX A5000

The RTX A5000 provides 24 GB memory capacity and 768 GB/s bandwidth that support activation storage during parameter updates.

Stable Diffusion
RTX 5070

The RTX 5070 lists dense FP16 at 61.7 TFLOPS and FP32 at 30.9 TFLOPS that align with common diffusion model precision needs.

Scientific Computing
RTX 5070

The RTX 5070 lists FP32 performance at 30.9 TFLOPS which exceeds the 27.8 TFLOPS value on the RTX A5000.

Frequently Asked Questions

What is the FP32 performance difference between the RTX 5070 and RTX A5000?▾

The RTX 5070 lists FP32 performance at 30.9 TFLOPS. The RTX A5000 lists FP32 performance at 27.8 TFLOPS. The ratio equals 1.11 in favor of the RTX 5070.

Which GPU lists higher sparse FP16 throughput?▾

The RTX A5000 lists sparse FP16 at 222.2 TFLOPS. The RTX 5070 lists sparse FP16 at 123.5 TFLOPS. The RTX A5000 value exceeds the RTX 5070 value.

Does the RTX A5000 support NVLink?▾

The RTX A5000 lists NVLink interconnect support. The RTX 5070 lists only PCIe 5.0 interconnect. Form factor remains PCIe for both GPUs.

Which is cheaper to rent, the RTX 5070 or the RTX A5000?▾

Cloud rental prices for both the RTX 5070 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 5070 have compared to the RTX A5000?▾

The RTX 5070 has 12 to 16 GB of GDDR7 memory. The RTX A5000 has 24 GB of GDDR6 memory.

Can I find RTX 5070 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 5070 and the RTX A5000?▾

The RTX 5070 uses the Blackwell architecture (2025) while the RTX A5000 uses Ampere (2021). The RTX 5070 has 12-16 GB of GDDR7 at 672 GB/s; the RTX A5000 has 24 GB of GDDR6 at 768 GB/s, so the RTX A5000 has 1.1x the memory bandwidth of the RTX 5070.

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 5070 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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