GPU comparison

A100 SXM4 80GB vs RTX A6000

Specifications and current cloud pricing, side by side.

AmperevsAmpereUpdated 32 days ago

This variant comparison is part of the A100 vs RTX A6000 family comparison.

The A100 SXM4 80GB serves as the stronger choice for LLM training because its 312 TFLOPS FP16 dense rating and 80 GB memory exceed the RTX A6000 specifications by wide margins.

A100 SXM4 80GB from $0.68/GPU/hrRTX A6000 from $0.44/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX A6000 at $0.44/hr on LeaderGPU

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  • Most providers in stock: A100 SXM4 80GB (10)

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Specifications Compared

SpecA100 SXM4 80GBRTX A6000
TDP400W300W
VRAM80 GB48 GB
CUDA Cores6,91210,752
Memory TypeHBM2eGDDR6
ArchitectureAmpereAmpere
FP16 (dense)312 TFLOPSNot published
Form FactorsSXM4PCIe
INT8 (dense)624 TOPSNot published
InterconnectNVLink, PCIe 4.0, InfiniBandNVLink
Tensor Cores432336
FP32 Performance19.5 TFLOPS38.7 TFLOPS
FP64 Performance9.7 TFLOPS0.6 TFLOPS
Memory Bandwidth2,039 GB/s768 GB/s
FP16 (with sparsity)624 TFLOPSNot published
INT8 (with sparsity)1,248 TOPSNot published
FP16 (vendor figure, sparsity not specified)Not published38.7 TFLOPS

Performance Analysis

FP16 dense throughput reaches 312 TFLOPS on the A100 compared with 38.7 TFLOPS on the RTX A6000. This difference means matrix multiplications complete faster on the A100 during training and inference when sparsity remains unused. FP16 with sparsity on the A100 reaches 624 TFLOPS while the RTX A6000 specification provides no sparsity value for comparison.

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 SXM4 80GB

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-31$1.35—Deploy

10 providers in stock, 36 offers (cheapest per provider shown). All A100 SXM4 80GB offers, price history and alerts

RTX A6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
LeaderGPUThe Netherlands8$0.44$3.54Deploy
QuantaCloudus-midwest-11$0.48—Deploy
Massed Computeus-central-28$0.55$4.40Deploy
Paperspaceams14$1.89$7.56Deploy

4 providers in stock, 30 offers (cheapest per provider shown). All RTX A6000 offers, price history and alerts

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When to Choose the A100 SXM4 80GB

The A100 SXM4 80GB fits workloads that need 80 GB memory and 2039 GB/s bandwidth such as large model training. Its 312 TFLOPS FP16 dense rating and SXM4 interconnect also support multi GPU scaling via NVLink.

When to Choose the RTX A6000

The RTX A6000 fits workloads that operate within 48 GB memory and require 38.7 TFLOPS FP32 performance at a 300 W TDP. Its PCIe form factor suits single node deployments where InfiniBand remains unnecessary.

Use Cases

LLM Training
A100 SXM4 80GB

The A100 SXM4 80GB supplies 312 TFLOPS FP16 dense performance and 80 GB memory which exceed RTX A6000 limits.

LLM Inference
A100 SXM4 80GB

The A100 SXM4 80GB delivers 624 TOPS INT8 dense throughput and 2039 GB/s bandwidth for sustained large batch inference.

Fine-tuning
A100 SXM4 80GB

The A100 SXM4 80GB provides 80 GB memory and 312 TFLOPS FP16 dense performance that accommodate larger fine tuning batches.

Stable Diffusion
RTX A6000

The RTX A6000 supplies 38.7 TFLOPS FP32 performance and 48 GB memory sufficient for typical diffusion workloads at lower power.

Scientific Computing
Either

Both GPUs share the Ampere architecture and deliver FP32 throughput near 19.5 to 38.7 TFLOPS for many simulation codes.

Frequently Asked Questions

How does FP16 performance compare between these GPUs?▾

The A100 reaches 312 TFLOPS FP16 dense while the RTX A6000 reaches 38.7 TFLOPS FP16.

What TDP values apply to each GPU?▾

The A100 SXM4 80GB operates at 400 W TDP and the RTX A6000 operates at 300 W TDP.

Which interconnects does the A100 SXM4 80GB support?▾

The A100 SXM4 80GB supports NVLink, PCIe 4.0, and InfiniBand interconnects.

What form factor does the RTX A6000 use?▾

The RTX A6000 uses a PCIe form factor with 48 GB GDDR6 memory and NVLink.

Do both GPUs share the same architecture year?▾

Both the A100 SXM4 80GB and RTX A6000 belong to the Ampere architecture released in 2020.

Which is cheaper to rent, the A100 SXM4 80GB or the RTX A6000?▾

Cloud rental prices for both the A100 SXM4 80GB 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 A100 SXM4 80GB have compared to the RTX A6000?▾

The A100 SXM4 80GB has 80 GB of HBM2e memory. The RTX A6000 has 48 GB of GDDR6 memory.

Can I find A100 SXM4 80GB 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 A100 SXM4 80GB and the RTX A6000?▾

The A100 SXM4 80GB uses the Ampere architecture (2020) while the RTX A6000 uses Ampere (2020). The A100 SXM4 80GB delivers 2.0x the dense FP16 throughput (312 vs 154.8 TFLOPS, both without sparsity) and 2.7x the memory bandwidth of the RTX A6000.

Rent these GPUs

Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.

Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the A100 SXM4 80GB 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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