GPU comparison

RTX A4000 vs RTX A6000

Specifications and current cloud pricing, side by side.

AmperevsAmpereUpdated 32 days ago

The RTX A6000 wins for the most common use case of large scale compute because its 48 GB VRAM, 768 GB/s bandwidth, and 38.7 TFLOPS FP32 exceed the A4000 specifications by substantial margins.

RTX A4000 from $0.76/GPU/hrRTX A6000 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 A4000RTX A6000
TDP140W300W
VRAM16-20 GB48 GB
CUDA Cores6,14410,752
Memory TypeGDDR6GDDR6
ArchitectureAmpereAmpere
FP16 (dense)Not published154.8 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)Not published309.7 TOPS
InterconnectPCIe 4.0NVLink, PCIe 4.0
Tensor Cores192336
FP32 Performance19.2 TFLOPS38.7 TFLOPS
Memory Bandwidth448 GB/s768 GB/s
FP16 (with sparsity)153.4 TFLOPS309.6 TFLOPS
INT8 (with sparsity)Not published619.4 TOPS

Performance Analysis

FP16 performance with sparsity measures 153.4 TFLOPS on the RTX A4000 and 309.6 TFLOPS on the RTX A6000 while dense FP16 reaches 154.8 TFLOPS on the A6000 alone. The gap in these figures shows the A6000 processes larger training and inference workloads when sparsity applies and the A4000 matches dense FP16 levels only through sparsity techniques. Memory bandwidth at 448 GB/s versus 768 GB/s limits batch sizes on the A4000 during data heavy operations relative to the 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 A4000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceny22$0.76$1.52Deploy

1 provider in stock, 6 offers (cheapest per provider shown). All RTX A4000 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-22$0.55$1.10Deploy
RunPodglobal1$0.59—Deploy

6 providers in stock, 51 offers (cheapest per provider shown). All RTX A6000 offers, price history and alerts

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When to Choose the RTX A4000

The RTX A4000 fits power limited environments because its TDP reaches only 140W. Tasks that operate within 16-20 GB VRAM and require 19.2 TFLOPS FP32 gain efficiency without the 300W draw of higher capacity cards.

When to Choose the RTX A6000

The RTX A6000 handles memory intensive operations through its 48 GB VRAM and 768 GB/s bandwidth. FP32 throughput of 38.7 TFLOPS combined with NVLink support enables larger scale workloads than the A4000 configuration allows.

Use Cases

LLM Training
RTX A6000

The RTX A6000 supplies 48 GB VRAM and 38.7 TFLOPS FP32 which accommodate larger models than the 16-20 GB and 19.2 TFLOPS on the A4000.

LLM Inference
RTX A6000

Dense FP16 at 154.8 TFLOPS and 768 GB/s bandwidth on the A6000 support higher throughput than the sparsity dependent 153.4 TFLOPS and 448 GB/s on the A4000.

Fine-tuning
RTX A6000

The A6000 48 GB capacity and 309.6 TFLOPS FP16 with sparsity enable bigger fine tuning batches compared to A4000 limits.

Stable Diffusion
RTX A4000

The RTX A4000 140W TDP and 16-20 GB VRAM suffice for standard image generation at lower power than the 300W A6000.

Scientific Computing
RTX A6000

FP32 performance of 38.7 TFLOPS and NVLink on the A6000 accelerate scientific simulations beyond A4000 capabilities.

Frequently Asked Questions

What are the FP32 performance numbers?▾

The RTX A4000 reaches 19.2 TFLOPS FP32 and the RTX A6000 reaches 38.7 TFLOPS FP32.

Which GPU has higher memory bandwidth?▾

The RTX A6000 provides 768 GB/s bandwidth compared to 448 GB/s on the RTX A4000.

What FP16 figures are listed for each card?▾

The RTX A4000 lists 153.4 TFLOPS FP16 with sparsity while the RTX A6000 lists 154.8 TFLOPS dense FP16 and 309.6 TFLOPS FP16 with sparsity.

How do the TDP ratings compare?▾

The RTX A4000 TDP is 140W and the RTX A6000 TDP is 300W.

Does the A6000 support NVLink?▾

The RTX A6000 supports NVLink interconnects in addition to PCIe 4.0 while the A4000 supports only PCIe 4.0.

Which is cheaper to rent, the RTX A4000 or the RTX A6000?▾

Cloud rental prices for both the RTX A4000 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 A4000 have compared to the RTX A6000?▾

The RTX A4000 has 16 to 20 GB of GDDR6 memory. The RTX A6000 has 48 GB of GDDR6 memory.

Can I find RTX A4000 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 A4000 and the RTX A6000?▾

The RTX A4000 uses the Ampere architecture (2021) while the RTX A6000 uses Ampere (2020). The RTX A4000 has 16-20 GB of GDDR6 at 448 GB/s; the RTX A6000 has 48 GB of GDDR6 at 768 GB/s, so the RTX A6000 has 1.7x 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 A4000 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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