GPU comparison

RTX 2000 Ada vs RTX A6000

Specifications and current cloud pricing, side by side.

Ada LovelacevsAmpereUpdated 33 days ago

The RTX A6000 wins for the most common use case of large model handling because its 48 GB VRAM and 38.7 TFLOPS FP32 exceed the RTX 2000 Ada specifications by substantial margins.

RTX 2000 Ada listed from $0.24/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

    Deploy
  • Most providers in stock: RTX A6000 (5)

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Specifications Compared

SpecRTX 2000 AdaRTX A6000
TDP70W300W
VRAM16 GB48 GB
CUDA Cores2,81610,752
Memory TypeGDDR6GDDR6
ArchitectureAda LovelaceAmpere
FP16 (dense)Not published154.8 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)Not published309.7 TOPS
InterconnectPCIe 4.0NVLink, PCIe 4.0
Tensor Cores88336
FP32 Performance12 TFLOPS38.7 TFLOPS
Memory Bandwidth224 GB/s768 GB/s
FP8 (with sparsity)191.9 TFLOPSNot published
FP16 (with sparsity)Not published309.6 TFLOPS
INT8 (with sparsity)Not published619.4 TOPS

Performance Analysis

FP32 throughput of 12 TFLOPS on the RTX 2000 Ada versus 38.7 TFLOPS on the RTX A6000 indicates the RTX A6000 processes matrix operations over three times faster in dense precision. The RTX A6000 also lists FP16 dense performance at 154.8 TFLOPS which supports accelerated training and inference steps compared to the RTX 2000 Ada FP32 baseline. Memory bandwidth of 224 GB/s versus 768 GB/s limits batch sizes on the RTX 2000 Ada during data movement heavy phases while the higher figure on the RTX A6000 sustains larger batches without stalls.

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

RTX 2000 Ada is not offered on-demand by any provider we track right now. See the RTX 2000 Ada 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-21$0.48—Deploy
HyperstackCANADA-12$0.50$1.00Deploy
Massed Computeus-central-22$0.55$1.10Deploy
Paperspaceams11$1.89—Deploy

5 providers in stock, 41 offers (cheapest per provider shown). All RTX A6000 offers, price history and alerts

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When to Choose the RTX 2000 Ada

The RTX 2000 Ada suits deployments where power limits constrain operation to 70W TDP and VRAM needs stay below 16 GB. Its PCIe form factor and lower bandwidth fit compact inference servers running smaller models without requiring high throughput.

When to Choose the RTX A6000

The RTX A6000 fits scenarios demanding 48 GB VRAM for large datasets and 38.7 TFLOPS FP32 for compute intensive tasks. Its 768 GB/s bandwidth supports bigger batch processing in sustained workloads.

Use Cases

LLM Training
RTX A6000

The RTX A6000 provides 48 GB VRAM and 38.7 TFLOPS FP32 which exceed the RTX 2000 Ada capacity for training large models.

LLM Inference
RTX A6000

The RTX A6000 FP16 dense figure of 154.8 TFLOPS enables faster inference throughput than the RTX 2000 Ada FP32 rating.

Fine-tuning
RTX A6000

48 GB VRAM on the RTX A6000 accommodates fine-tuning workloads that exceed the 16 GB limit of the RTX 2000 Ada.

Stable Diffusion
RTX A6000

Higher memory bandwidth of 768 GB/s on the RTX A6000 supports larger image generation batches compared to 224 GB/s.

Scientific Computing
RTX A6000

The RTX A6000 FP32 performance of 38.7 TFLOPS delivers greater computational headroom than the 12 TFLOPS of the RTX 2000 Ada.

Frequently Asked Questions

What are the FP32 ratings for these GPUs?▾

The RTX 2000 Ada reaches 12 TFLOPS FP32 and the RTX A6000 reaches 38.7 TFLOPS FP32.

Which GPU offers higher memory bandwidth?▾

The RTX A6000 offers 768 GB/s memory bandwidth compared to 224 GB/s on the RTX 2000 Ada.

What TDP values apply to each card?▾

The RTX 2000 Ada lists a 70W TDP and the RTX A6000 lists a 300W TDP.

Does the RTX A6000 support sparse FP16?▾

The RTX A6000 lists FP16 with sparsity at 309.6 TFLOPS alongside its dense FP16 rating of 154.8 TFLOPS.

What interconnect options exist on the RTX A6000?▾

The RTX A6000 supports NVLink in addition to PCIe 4.0 while the RTX 2000 Ada uses PCIe 4.0 only.

Which is cheaper to rent, the RTX 2000 Ada or the RTX A6000?▾

Cloud rental prices for both the RTX 2000 Ada 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 2000 Ada have compared to the RTX A6000?▾

The RTX 2000 Ada has 16 GB of GDDR6 memory. The RTX A6000 has 48 GB of GDDR6 memory.

Can I find RTX 2000 Ada 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 2000 Ada and the RTX A6000?▾

The RTX 2000 Ada uses the Ada Lovelace architecture (2024) while the RTX A6000 uses Ampere (2020). The RTX 2000 Ada has 16 GB of GDDR6 at 224 GB/s; the RTX A6000 has 48 GB of GDDR6 at 768 GB/s, so the RTX A6000 has 3.4x the memory bandwidth of the RTX 2000 Ada.

Rent these GPUs

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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 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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