GPU comparison

RTX 4000 Ada vs RTX A6000

Specifications and current cloud pricing, side by side.

Ada LovelacevsAmpereUpdated 33 days ago

The RTX A6000 emerges as the stronger choice for the most common use case of memory heavy inference and training because its 48 GB VRAM and 768 GB/s bandwidth exceed the RTX 4000 Ada specifications by substantial margins while delivering 38.7 TFLOPS FP32 performance.

RTX 4000 Ada from $0.28/GPU/hrRTX A6000 from $0.44/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX 4000 Ada at $0.28/hr on RunPod

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  • Most providers in stock: RTX A6000 (7)

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Specifications Compared

SpecRTX 4000 AdaRTX A6000
TDP130W300W
VRAM20 GB48 GB
CUDA Cores6,14410,752
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 Cores192336
FP32 Performance26.7 TFLOPS38.7 TFLOPS
Memory Bandwidth360 GB/s768 GB/s
FP8 (with sparsity)427.6 TFLOPSNot published
FP16 (with sparsity)Not published309.6 TFLOPS
INT8 (with sparsity)Not published619.4 TOPS

Performance Analysis

FP32 throughput on the RTX A6000 reaches 38.7 TFLOPS compared with 26.7 TFLOPS on the RTX 4000 Ada which indicates greater capacity for compute bound operations that rely on single precision arithmetic. The RTX A6000 also lists FP16 dense performance at 154.8 TFLOPS and FP16 with sparsity at 309.6 TFLOPS values absent from RTX 4000 Ada specifications. Memory bandwidth of 768 GB/s on the RTX A6000 exceeds the 360 GB/s figure on the RTX 4000 Ada by more than a factor of two which supports larger batch sizes during data movement intensive phases. TDP values further differentiate the cards with the RTX 4000 Ada at 130W versus 300W on the RTX A6000. These numerical gaps translate into tradeoffs where the RTX A6000 sustains higher throughput on dense FP16 workloads while the RTX 4000 Ada maintains lower power draw at the expense of reduced memory resources.

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 4000 Ada

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.28—Deploy

1 provider in stock, 1 offer. All RTX 4000 Ada offers, price history and alerts

RTX A6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
LeaderGPUThe Netherlands8$0.44$3.54Deploy
QuantaCloudus-midwest-21$0.48—Deploy
HyperstackCANADA-11$0.50—Deploy
Massed Computeus-central-21$0.55—Deploy
RunPodglobal1$0.59—Deploy

7 providers in stock, 53 offers (cheapest per provider shown). All RTX A6000 offers, price history and alerts

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When to Choose the RTX 4000 Ada

The RTX 4000 Ada suits deployments that prioritize lower power consumption at 130W TDP alongside 20 GB VRAM. Workloads that fit within this memory limit and operate under FP32 at 26.7 TFLOPS benefit from the reduced thermal and electrical requirements. PCIe form factor compatibility further aligns the card with space constrained server nodes.

When to Choose the RTX A6000

The RTX A6000 fits scenarios that demand 48 GB VRAM and 768 GB/s memory bandwidth for larger data sets. FP32 performance at 38.7 TFLOPS combined with FP16 dense at 154.8 TFLOPS enables handling of memory intensive inference or training steps that exceed 20 GB limits. NVLink interconnect availability adds scaling options absent from the RTX 4000 Ada.

Use Cases

LLM Training
RTX A6000

The RTX A6000 supplies 48 GB VRAM and 768 GB/s bandwidth that accommodate larger model states than the 20 GB limit on the RTX 4000 Ada.

LLM Inference
RTX A6000

FP16 dense performance at 154.8 TFLOPS on the RTX A6000 supports higher throughput for inference batches that exceed 20 GB VRAM capacity.

Fine-tuning
RTX A6000

48 GB VRAM and 38.7 TFLOPS FP32 on the RTX A6000 enable fine-tuning runs that require more memory than the RTX 4000 Ada provides.

Stable Diffusion
Either

Both cards handle diffusion workloads yet the RTX 4000 Ada at 130W TDP offers efficiency when 20 GB VRAM suffices while the RTX A6000 scales to larger batches.

Scientific Computing
RTX A6000

The RTX A6000 FP32 rating of 38.7 TFLOPS exceeds the 26.7 TFLOPS of the RTX 4000 Ada for precision sensitive scientific simulations.

Frequently Asked Questions

How does memory bandwidth compare on these GPUs?▾

Memory bandwidth measures 360 GB/s on the RTX 4000 Ada and 768 GB/s on the RTX A6000. The higher figure on the RTX A6000 permits faster data transfers that support larger batch processing.

Which GPU has higher FP32 performance?▾

The RTX A6000 reaches 38.7 TFLOPS in FP32 while the RTX 4000 Ada reaches 26.7 TFLOPS. The difference favors the RTX A6000 for single precision compute workloads.

What TDP values distinguish the two cards?▾

The RTX 4000 Ada lists a 130W TDP and the RTX A6000 lists a 300W TDP. Lower power draw on the RTX 4000 Ada reduces cooling demands in dense installations.

Does the RTX A6000 support NVLink?▾

The RTX A6000 includes NVLink interconnect alongside PCIe 4.0 while the RTX 4000 Ada supports only PCIe 4.0. NVLink enables multi GPU scaling on the RTX A6000.

Which architecture powers each GPU?▾

The RTX 4000 Ada uses Ada Lovelace architecture and the RTX A6000 uses Ampere architecture. These generational differences underpin the listed FP32 and memory specifications.

Which is cheaper to rent, the RTX 4000 Ada or the RTX A6000?▾

Cloud rental prices for both the RTX 4000 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 4000 Ada have compared to the RTX A6000?▾

The RTX 4000 Ada has 20 GB of GDDR6 memory. The RTX A6000 has 48 GB of GDDR6 memory.

Can I find RTX 4000 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 4000 Ada and the RTX A6000?▾

The RTX 4000 Ada uses the Ada Lovelace architecture (2023) while the RTX A6000 uses Ampere (2020). The RTX 4000 Ada has 20 GB of GDDR6 at 360 GB/s; the RTX A6000 has 48 GB of GDDR6 at 768 GB/s, so the RTX A6000 has 2.1x the memory bandwidth of the RTX 4000 Ada.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the RTX 4000 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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