GPU comparison

RTX 2000 Ada vs RTX 6000 Ada

Specifications and current cloud pricing, side by side.

Ada LovelacevsAda LovelaceUpdated 33 days ago

The RTX 6000 Ada wins for the most common use case of LLM inference because its 48 GB VRAM and 364 TFLOPS dense FP16 rating accommodate larger models and higher throughput than the 16 GB and unpublished FP16 figures of the RTX 2000 Ada.

RTX 2000 Ada listed from $0.24/GPU/hrRTX 6000 Ada listed from $0.79/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 6000 Ada at $0.79/hr on Massed Compute

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  • Most providers in stock: RTX 6000 Ada (3)

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Specifications Compared

SpecRTX 2000 AdaRTX 6000 Ada
TDP70W300W
VRAM16 GB48 GB
CUDA Cores2,81618,176
FP8 (dense)Not published728.5 TFLOPS
Memory TypeGDDR6GDDR6
ArchitectureAda LovelaceAda Lovelace
FP16 (dense)Not published364 TFLOPS
Form FactorsPCIePCIe
INT8 (dense)Not published728.5 TOPS
InterconnectPCIe 4.0PCIe 4.0
Tensor Cores88568
FP32 Performance12 TFLOPS91.1 TFLOPS
Memory Bandwidth224 GB/s960 GB/s
FP8 (with sparsity)191.9 TFLOPS1,457 TFLOPS
FP16 (with sparsity)Not published728 TFLOPS
INT8 (with sparsity)Not published1,457 TOPS

Performance Analysis

The RTX 6000 Ada FP32 rating of 91.1 TFLOPS exceeds the RTX 2000 Ada FP32 rating of 12 TFLOPS by a factor of 7.6. The RTX 6000 Ada also lists dense FP16 at 364 TFLOPS while the RTX 2000 Ada does not publish an FP16 value. On FP8 the RTX 6000 Ada reaches 728.5 TFLOPS dense and 1457 TFLOPS with sparsity whereas the RTX 2000 Ada reaches 191.9 TFLOPS with sparsity only. Memory bandwidth of 960 GB/s on the RTX 6000 Ada versus 224 GB/s on the RTX 2000 Ada permits larger batch sizes during both training and inference passes that rely on dense FP16 or dense FP8 arithmetic.

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 6000 Ada

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Massed Computeus-central-31$0.79—Deploy
QuantaCloudus-midwest-21$0.79—Deploy
LeaderGPUThe Netherlands8$0.91$7.29Deploy

3 providers in stock, 6 offers (cheapest per provider shown). All RTX 6000 Ada offers, price history and alerts

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When to Choose the RTX 2000 Ada

The RTX 2000 Ada suits deployments that prioritize a 70W TDP and 16 GB VRAM for compact inference servers or edge nodes. Its 224 GB/s bandwidth remains adequate when models fit within the smaller memory footprint and power constraints preclude the 300W envelope of the alternative card.

When to Choose the RTX 6000 Ada

The RTX 6000 Ada suits workloads that require 48 GB VRAM together with dense FP16 performance of 364 TFLOPS or dense FP8 performance of 728.5 TFLOPS. Its 960 GB/s bandwidth supports larger batch sizes and faster data movement for training or inference jobs that exceed the capacity limits of the 16 GB configuration.

Use Cases

LLM Training
RTX 6000 Ada

The RTX 6000 Ada supplies 48 GB VRAM and 91.1 TFLOPS FP32 that exceed the 16 GB VRAM and 12 TFLOPS FP32 of the RTX 2000 Ada.

LLM Inference
RTX 6000 Ada

The RTX 6000 Ada provides 364 TFLOPS dense FP16 and 960 GB/s bandwidth that enable larger batch sizes than the RTX 2000 Ada configuration.

Fine-tuning
RTX 6000 Ada

The RTX 6000 Ada 48 GB VRAM and 728.5 TFLOPS dense FP8 rating support fine-tuning runs that exceed the memory and arithmetic limits of the RTX 2000 Ada.

Stable Diffusion
Either

Both cards share the Ada Lovelace architecture and PCIe 4.0 interconnect while the RTX 2000 Ada 16 GB VRAM suffices for moderate resolutions.

Scientific Computing
RTX 6000 Ada

The RTX 6000 Ada 91.1 TFLOPS FP32 and 960 GB/s bandwidth accelerate compute-bound kernels beyond the 12 TFLOPS FP32 and 224 GB/s of the RTX 2000 Ada.

Frequently Asked Questions

What are the FP32 ratings for these cards?▾

The RTX 2000 Ada lists 12 TFLOPS FP32 and the RTX 6000 Ada lists 91.1 TFLOPS FP32. The higher rating on the RTX 6000 Ada supports faster execution of single-precision scientific workloads.

Which GPU offers published FP16 performance?▾

The RTX 6000 Ada publishes 364 TFLOPS dense FP16 and 728 TFLOPS with sparsity. The RTX 2000 Ada does not publish an FP16 figure.

How do the power requirements compare?▾

The RTX 2000 Ada TDP is 70W while the RTX 6000 Ada TDP is 300W. System designers must account for the fourfold increase in power delivery and cooling when selecting the RTX 6000 Ada.

Do both GPUs use the same interconnect?▾

Both the RTX 2000 Ada and the RTX 6000 Ada use PCIe 4.0. Data transfer rates between host and device therefore remain identical under that specification.

Which is cheaper to rent, the RTX 2000 Ada or the RTX 6000 Ada?▾

Cloud rental prices for both the RTX 2000 Ada and RTX 6000 Ada 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 6000 Ada?▾

The RTX 2000 Ada has 16 GB of GDDR6 memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.

Can I find RTX 2000 Ada and RTX 6000 Ada 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 6000 Ada?▾

The RTX 2000 Ada uses the Ada Lovelace architecture (2024) while the RTX 6000 Ada uses Ada Lovelace (2022). The RTX 2000 Ada has 16 GB of GDDR6 at 224 GB/s; the RTX 6000 Ada has 48 GB of GDDR6 at 960 GB/s, so the RTX 6000 Ada has 4.3x the memory bandwidth of the RTX 2000 Ada.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX 2000 Ada and the RTX 6000 Ada. 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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