GPU comparison

A100 vs Quadro RTX 4000

Specifications and current cloud pricing, side by side.

AmperevsTuringUpdated 34 days ago

The A100 wins for the most common use case of LLM training because it provides 312 TFLOPS of dense FP16 performance and between 40 GB and 80 GB of memory against the lower figures of the Quadro RTX 4000.

A100 from $0.68/GPU/hrQuadro RTX 4000 from $0.56/GPU/hr

Right now, from live stock

  • Cheapest right now: Quadro RTX 4000 at $0.56/hr on Paperspace

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  • Most providers in stock: A100 (10)

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  • Best $ per TFLOPS FP16 dense right now: A100 ($0.0022 per TFLOPS-hour at 312 TFLOPS)

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Specifications Compared

SpecA100Quadro RTX 4000
TDP400W125W
VRAM40-80 GB8 GB
CUDA Cores6,9122,304
Memory TypeHBM2eGDDR6
ArchitectureAmpereTuring
FP16 (dense)312 TFLOPS57 TFLOPS
Form FactorsSXM4, PCIePCIe
INT8 (dense)624 TOPSNot published
InterconnectNVLink, PCIe 4.0, InfiniBandPCIe 3.0
Tensor Cores432288
FP32 Performance19.5 TFLOPS7.1 TFLOPS
FP64 Performance9.7 TFLOPSNot published
Memory Bandwidth2,039 GB/s416 GB/s
FP16 (with sparsity)624 TFLOPSNot published
INT8 (with sparsity)1,248 TOPSNot published

Performance Analysis

The A100 supplies 312 TFLOPS of dense FP16 performance while the Quadro RTX 4000 supplies 57 TFLOPS of dense FP16 performance. This difference means the A100 can process larger batch sizes during training or inference steps that rely on dense FP16 operations. The Quadro RTX 4000 cannot match the same throughput on identical dense FP16 workloads. Memory bandwidth of 2039 GB/s on the A100 versus 416 GB/s on the Quadro RTX 4000 further supports larger batch sizes on the A100 by moving data at a higher rate. The A100 also lists FP32 performance of 19.5 TFLOPS compared with 7.1 TFLOPS on the Quadro RTX 4000. The A100 TDP of 400 W exceeds the 125 W TDP of the Quadro RTX 4000 yet the performance ratio favors the A100 for dense FP16 tasks by a factor derived directly from the listed figures.

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.

A100

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
LeaderGPUThe Netherlands8$0.68$5.42Deploy
Vast.aiCzechia, CZ1$0.73—Deploy
ThunderComputeUSA2$1.09$2.18Deploy
HyperstackCANADA-11$1.35—Deploy
Massed Computeus-central-38$1.38$11.04Deploy

10 providers in stock, 32 offers (cheapest per provider shown). All A100 offers, price history and alerts

Quadro RTX 4000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Paperspaceams11$0.56—Deploy

1 provider in stock, 5 offers (cheapest per provider shown). All Quadro RTX 4000 offers, price history and alerts

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When to Choose the A100

The A100 suits LLM training workloads that require 40 GB to 80 GB of memory and 312 TFLOPS of dense FP16 performance. Scientific computing tasks also benefit from the 2039 GB/s memory bandwidth and 19.5 TFLOPS of FP32 performance listed for this model.

When to Choose the Quadro RTX 4000

The Quadro RTX 4000 suits environments constrained by a 125 W TDP limit where 8 GB of memory and 57 TFLOPS of dense FP16 performance remain sufficient. Inference on smaller models can operate within the PCIe form factor and 416 GB/s bandwidth of this GPU.

Use Cases

LLM Training
A100

The A100 supplies 312 TFLOPS of dense FP16 performance and 40 GB to 80 GB of memory that exceed the 57 TFLOPS and 8 GB listed for the Quadro RTX 4000.

LLM Inference
A100

The A100 delivers 312 TFLOPS of dense FP16 performance and 2039 GB/s bandwidth that support higher throughput than the 57 TFLOPS and 416 GB/s of the Quadro RTX 4000.

Fine-tuning
A100

The A100 offers 312 TFLOPS of dense FP16 performance and up to 80 GB of memory that accommodate fine-tuning workloads beyond the capacity of the Quadro RTX 4000.

Stable Diffusion
Quadro RTX 4000

The Quadro RTX 4000 operates at a 125 W TDP with 57 TFLOPS of dense FP16 performance that meets requirements for smaller diffusion models without the 400 W TDP of the A100.

Scientific Computing
A100

The A100 provides 19.5 TFLOPS of FP32 performance and 2039 GB/s bandwidth that surpass the 7.1 TFLOPS and 416 GB/s listed for the Quadro RTX 4000.

Frequently Asked Questions

What is the memory difference between A100 and Quadro RTX 4000?▾

The A100 provides between 40 GB and 80 GB of HBM2e memory. The Quadro RTX 4000 provides 8 GB of GDDR6 memory. This gap affects the maximum model size that each GPU can hold during computation.

How does FP16 performance compare between these GPUs?▾

The A100 lists 312 TFLOPS of dense FP16 performance. The Quadro RTX 4000 lists 57 TFLOPS of dense FP16 performance. The ratio favors the A100 for workloads that use dense FP16 operations.

Which GPU has higher memory bandwidth?▾

The A100 reaches 2039 GB/s of memory bandwidth. The Quadro RTX 4000 reaches 416 GB/s of memory bandwidth. Higher bandwidth on the A100 supports faster data movement for large tensors.

What are the TDP values for A100 and Quadro RTX 4000?▾

The A100 carries a TDP of 400 W. The Quadro RTX 4000 carries a TDP of 125 W. Power limited deployments may favor the lower TDP figure of the Quadro RTX 4000.

Can the Quadro RTX 4000 run FP32 workloads effectively?▾

The Quadro RTX 4000 lists 7.1 TFLOPS of FP32 performance. The A100 lists 19.5 TFLOPS of FP32 performance. Workloads that fit within 8 GB of memory can use the Quadro RTX 4000 for FP32 tasks.

Which is cheaper to rent, the A100 or the Quadro RTX 4000?▾

Cloud rental prices for both the A100 and Quadro RTX 4000 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 A100 have compared to the Quadro RTX 4000?▾

The A100 has 40 to 80 GB of HBM2e memory. The Quadro RTX 4000 has 8 GB of GDDR6 memory.

Can I find A100 and Quadro RTX 4000 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 A100 and the Quadro RTX 4000?▾

The A100 uses the Ampere architecture (2020) while the Quadro RTX 4000 uses Turing (2018). The A100 delivers 5.5x the dense FP16 throughput (312 vs 57 TFLOPS, both without sparsity) and 4.9x the memory bandwidth of the Quadro RTX 4000.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the A100 and the Quadro RTX 4000. 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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