GPU comparison

RTX 5090 vs RTX A4000

Specifications and current cloud pricing, side by side.

BlackwellvsAmpereUpdated 33 days ago

The RTX 5090 wins for the most common use case of LLM inference because its 32 GB VRAM, 1792 GB/s bandwidth, and 419 TFLOPS FP16 with sparsity exceed the corresponding figures on the RTX A4000 by substantial margins.

RTX 5090 from $0.87/GPU/hrRTX A4000 from $0.15/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX A4000 at $0.15/hr on Hyperstack

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  • Most providers in stock: RTX 5090 (3)

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Specifications Compared

SpecRTX 5090RTX A4000
TDP575W140W
VRAM32 GB16-20 GB
CUDA Cores21,7606,144
FP4 (dense)1,676 TFLOPSNot published
FP8 (dense)419 TFLOPSNot published
Memory TypeGDDR7GDDR6
ArchitectureBlackwellAmpere
FP16 (dense)209.5 TFLOPSNot published
Form FactorsPCIePCIe
INT8 (dense)838 TOPSNot published
InterconnectPCIe 5.0PCIe 4.0
Tensor Cores680192
FP32 Performance104.8 TFLOPS19.2 TFLOPS
FP64 Performance1.6 TFLOPSNot published
Memory Bandwidth1,792 GB/s448 GB/s
FP4 (with sparsity)3,352 TFLOPSNot published
FP8 (with sparsity)838 TFLOPSNot published
FP16 (with sparsity)419 TFLOPS153.4 TFLOPS
INT8 (with sparsity)1,676 TOPSNot published

Performance Analysis

Dense FP16 performance on the RTX 5090 measures 209.5 TFLOPS with no dense FP16 figure published for the RTX A4000. FP16 performance with sparsity reaches 419 TFLOPS on the RTX 5090 against 153.4 TFLOPS with sparsity on the RTX A4000. FP32 performance equals 104.8 TFLOPS on the RTX 5090 compared with 19.2 TFLOPS on the RTX A4000. The fourfold memory bandwidth advantage of 1792 GB/s over 448 GB/s permits larger batch sizes during training and inference steps that depend on data movement rates. These deltas translate into faster iteration cycles for dense and sparse tensor operations on the RTX 5090.

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 5090

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiAlberta, CA8$0.87$6.93Deploy
RunPodglobal1$1.19—Deploy
LeaderGPUThe Netherlands1$2.29—Deploy

3 providers in stock, 20 offers (cheapest per provider shown). All RTX 5090 offers, price history and alerts

RTX A4000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
HyperstackNORWAY-11$0.15—Deploy
Paperspaceny22$0.76$1.52Deploy

2 providers in stock, 7 offers (cheapest per provider shown). All RTX A4000 offers, price history and alerts

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When to Choose the RTX 5090

The RTX 5090 suits workloads that require the 32 GB VRAM capacity together with 1792 GB/s bandwidth. Training and inference jobs that scale with the 209.5 TFLOPS dense FP16 rating benefit from this configuration over the lower specifications of the RTX A4000.

When to Choose the RTX A4000

The RTX A4000 fits power-constrained environments where the 140 W TDP matters more than peak throughput. Tasks that remain within the 16-20 GB VRAM range and do not require the 104.8 TFLOPS FP32 rating of the RTX 5090 can operate efficiently on this card.

Use Cases

LLM Training
RTX 5090

The 32 GB VRAM and 209.5 TFLOPS dense FP16 rating support larger models than the 16-20 GB limit on the RTX A4000.

LLM Inference
RTX 5090

The 419 TFLOPS FP16 with sparsity and 1792 GB/s bandwidth enable higher throughput than the 153.4 TFLOPS with sparsity on the RTX A4000.

Fine-tuning
RTX 5090

The 104.8 TFLOPS FP32 performance combined with 32 GB memory accommodates fine-tuning runs that exceed the RTX A4000 capacity.

Stable Diffusion
RTX 5090

The 32 GB GDDR7 memory and 1792 GB/s bandwidth handle larger batch generation compared with the RTX A4000 specifications.

Scientific Computing
Either

The RTX A4000 meets needs at 140 W TDP when workloads fit in 16-20 GB while the RTX 5090 accelerates those requiring 104.8 TFLOPS FP32.

Frequently Asked Questions

How does memory bandwidth compare on these GPUs?▾

Memory bandwidth measures 1792 GB/s on the RTX 5090 and 448 GB/s on the RTX A4000. The fourfold increase supports larger batches in data-intensive operations.

Which GPU has higher FP32 performance?▾

The RTX 5090 delivers 104.8 TFLOPS FP32 while the RTX A4000 delivers 19.2 TFLOPS FP32. This gap determines speed in precision-sensitive scientific workloads.

What are the TDP values for each card?▾

The RTX 5090 lists a 575 W TDP and the RTX A4000 lists a 140 W TDP. Power budgets therefore favor the RTX A4000 in constrained deployments.

Can the RTX A4000 run sparse FP16 workloads?▾

The RTX A4000 reaches 153.4 TFLOPS FP16 with sparsity. The RTX 5090 reaches 419 TFLOPS FP16 with sparsity for the same workload type.

Which is cheaper to rent, the RTX 5090 or the RTX A4000?▾

Cloud rental prices for both the RTX 5090 and RTX A4000 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 5090 have compared to the RTX A4000?▾

The RTX 5090 has 32 GB of GDDR7 memory. The RTX A4000 has 16 to 20 GB of GDDR6 memory.

Can I find RTX 5090 and RTX A4000 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 5090 and the RTX A4000?▾

The RTX 5090 uses the Blackwell architecture (2025) while the RTX A4000 uses Ampere (2021). The RTX 5090 has 32 GB of GDDR7 at 1,792 GB/s; the RTX A4000 has 16-20 GB of GDDR6 at 448 GB/s, so the RTX 5090 has 4.0x the memory bandwidth of the RTX A4000.

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 5090 and the RTX A4000. 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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