GPU comparison

RTX 2000 Ada vs RTX A4000

Specifications and current cloud pricing, side by side.

Ada LovelacevsAmpereUpdated 29 days ago

The RTX A4000 provides the stronger choice for the most common use case of dense FP32 computation because it delivers 19.2 TFLOPS against the 12 TFLOPS of the RTX 2000 Ada while doubling memory bandwidth to 448 GB/s.

RTX 2000 Ada from $0.24/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 A4000 (2)

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Specifications Compared

SpecRTX 2000 AdaRTX A4000
TDP70W140W
VRAM16 GB16-20 GB
CUDA Cores2,8166,144
Memory TypeGDDR6GDDR6
ArchitectureAda LovelaceAmpere
Form FactorsPCIePCIe
InterconnectPCIe 4.0PCIe 4.0
Tensor Cores88192
FP32 Performance12 TFLOPS19.2 TFLOPS
Memory Bandwidth224 GB/s448 GB/s
FP8 (with sparsity)191.9 TFLOPSNot published
FP16 (with sparsity)Not published153.4 TFLOPS

Performance Analysis

FP32 performance reaches 12 TFLOPS on the RTX 2000 Ada and 19.2 TFLOPS on the RTX A4000. This difference indicates the RTX A4000 completes dense FP32 operations at a higher rate than the RTX 2000 Ada. Memory bandwidth of 224 GB/s on the RTX 2000 Ada versus 448 GB/s on the RTX A4000 allows the RTX A4000 to support larger batch sizes in memory intensive tasks. The RTX 2000 Ada lists FP8 performance with sparsity at 191.9 TFLOPS while the RTX A4000 lists FP16 performance with sparsity at 153.4 TFLOPS yet these figures cannot be compared directly because they represent different numeric formats.

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 2000 Ada

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.24—Deploy

1 provider in stock, 1 offer. All RTX 2000 Ada 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, 10 offers (cheapest per provider shown). All RTX A4000 offers, price history and alerts

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When to Choose the RTX 2000 Ada

The RTX 2000 Ada suits deployments where TDP must remain at 70W to limit heat and power draw. Its 16 GB VRAM and 224 GB/s bandwidth support inference workloads that fit within these constraints without requiring the 140W TDP of the RTX A4000.

When to Choose the RTX A4000

The RTX A4000 suits workloads that require 19.2 TFLOPS of dense FP32 performance and 448 GB/s memory bandwidth to handle larger data sets. Its TDP of 140W enables sustained throughput in applications that exceed the 12 TFLOPS FP32 limit of the RTX 2000 Ada.

Use Cases

LLM Training
RTX A4000

The RTX A4000 supplies 19.2 TFLOPS dense FP32 and 448 GB/s bandwidth to accommodate larger training batches than the 12 TFLOPS and 224 GB/s of the RTX 2000 Ada.

LLM Inference
RTX 2000 Ada

The RTX 2000 Ada maintains inference at a TDP of 70W with 16 GB VRAM when power limits preclude the 140W TDP of the RTX A4000.

Fine-tuning
RTX A4000

The RTX A4000 processes fine tuning steps with 19.2 TFLOPS dense FP32 and double the memory bandwidth of the RTX 2000 Ada.

Stable Diffusion
Either

Both GPUs carry 16 GB VRAM and PCIe interconnects so either meets baseline requirements for Stable Diffusion workloads.

Scientific Computing
RTX A4000

The RTX A4000 executes dense FP32 operations at 19.2 TFLOPS with 448 GB/s bandwidth to accelerate scientific simulations beyond the 12 TFLOPS of the RTX 2000 Ada.

Frequently Asked Questions

What is the TDP difference between the RTX 2000 Ada and RTX A4000?▾

The RTX 2000 Ada lists a TDP of 70W. The RTX A4000 lists a TDP of 140W.

How does memory bandwidth compare on these two GPUs?▾

The RTX 2000 Ada provides 224 GB/s memory bandwidth. The RTX A4000 provides 448 GB/s memory bandwidth.

Which GPU offers higher FP32 performance?▾

The RTX A4000 reaches 19.2 TFLOPS in FP32. The RTX 2000 Ada reaches 12 TFLOPS in FP32.

Do both GPUs use the same interconnect?▾

Both the RTX 2000 Ada and the RTX A4000 use PCIe 4.0 interconnects.

Which architecture does each GPU employ?▾

The RTX 2000 Ada employs Ada Lovelace architecture. The RTX A4000 employs Ampere architecture.

Which is cheaper to rent, the RTX 2000 Ada or the RTX A4000?▾

Cloud rental prices for both the RTX 2000 Ada 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 2000 Ada have compared to the RTX A4000?▾

The RTX 2000 Ada has 16 GB of GDDR6 memory. The RTX A4000 has 16 to 20 GB of GDDR6 memory.

Can I find RTX 2000 Ada 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 2000 Ada and the RTX A4000?▾

The RTX 2000 Ada uses the Ada Lovelace architecture (2024) while the RTX A4000 uses Ampere (2021). The RTX 2000 Ada has 16 GB of GDDR6 at 224 GB/s; the RTX A4000 has 16-20 GB of GDDR6 at 448 GB/s, so the RTX A4000 has 2.0x the memory bandwidth of the RTX 2000 Ada.

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Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX 2000 Ada 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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