GPU comparison

A100 vs RTX 2000 Ada

Specifications and current cloud pricing, side by side.

AmperevsAda LovelaceUpdated 34 days ago

The A100 wins for the most common use case of LLM training because its 312 TFLOPS FP16 dense rating and 2039 GB/s bandwidth exceed the RTX 2000 Ada capabilities by wide margins on every published tensor metric.

A100 listed from $0.68/GPU/hrRTX 2000 Ada listed from $0.24/GPU/hr

Right now, from live stock

Specifications Compared

SpecA100RTX 2000 Ada
TDP400W70W
VRAM40-80 GB16 GB
CUDA Cores6,9122,816
Memory TypeHBM2eGDDR6
ArchitectureAmpereAda Lovelace
FP16 (dense)312 TFLOPSNot published
Form FactorsSXM4, PCIePCIe
INT8 (dense)624 TOPSNot published
InterconnectNVLink, PCIe 4.0, InfiniBandPCIe 4.0
Tensor Cores43288
FP32 Performance19.5 TFLOPS12 TFLOPS
FP64 Performance9.7 TFLOPSNot published
Memory Bandwidth2,039 GB/s224 GB/s
FP8 (with sparsity)Not published191.9 TFLOPS
FP16 (with sparsity)624 TFLOPSNot published
INT8 (with sparsity)1,248 TOPSNot published

Performance Analysis

The A100 FP16 dense performance reaches 312 TFLOPS compared to the RTX 2000 Ada that lacks a published FP16 figure so FP32 values become the common reference point at 19.5 TFLOPS versus 12 TFLOPS. This FP32 gap indicates the A100 processes matrix operations in training loops at a higher rate than the RTX 2000 Ada. Memory bandwidth of 2039 GB/s on the A100 versus 224 GB/s on the RTX 2000 Ada allows the A100 to sustain larger batch sizes during inference without data stalls. The A100 INT8 dense rating of 624 TOPS further exceeds any comparable metric on the RTX 2000 Ada. Sparsity figures on the A100 reach 624 TFLOPS for FP16 and 1248 TOPS for INT8 while the RTX 2000 Ada lists only FP8 with sparsity at 191.9 TFLOPS.

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
Massed Computeus-central-31$1.35—Deploy
HyperstackCANADA-12$1.35$2.70Deploy

10 providers in stock, 35 offers (cheapest per provider shown). All A100 offers, price history and alerts

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.

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When to Choose the A100

The A100 suits LLM training runs that require 40 to 80 GB HBM2e capacity and 2039 GB/s bandwidth to hold large parameter sets. Its 312 TFLOPS FP16 dense rating and 19.5 TFLOPS FP32 rating accelerate scientific computing kernels that exceed the 16 GB limit of the RTX 2000 Ada.

When to Choose the RTX 2000 Ada

The RTX 2000 Ada fits inference tasks where the 70W TDP constraint prevents use of higher power cards and the 12 TFLOPS FP32 rating meets modest throughput needs. Its PCIe only form factor simplifies integration into standard workstations that cannot accommodate SXM4 modules.

Use Cases

LLM Training
A100

The A100 supplies 312 TFLOPS FP16 dense performance and 40 to 80 GB memory that the RTX 2000 Ada cannot match.

LLM Inference
A100

The A100 2039 GB/s bandwidth supports larger batch sizes than the 224 GB/s available on the RTX 2000 Ada.

Fine-tuning
A100

The A100 19.5 TFLOPS FP32 rating and NVLink interconnect handle gradient updates more efficiently than the RTX 2000 Ada PCIe setup.

Stable Diffusion
RTX 2000 Ada

The RTX 2000 Ada 70W TDP and 12 TFLOPS FP32 rating suffice for image generation workloads that fit within 16 GB.

Scientific Computing
A100

The A100 624 TOPS INT8 dense rating accelerates simulation codes beyond the published metrics of the RTX 2000 Ada.

Frequently Asked Questions

What memory configurations distinguish the A100 from the RTX 2000 Ada?▾

The A100 offers 40 to 80 GB HBM2e while the RTX 2000 Ada provides 16 GB GDDR6. This difference determines maximum model size during training.

How does FP32 performance compare between these GPUs?▾

The A100 reaches 19.5 TFLOPS FP32 and the RTX 2000 Ada reaches 12 TFLOPS FP32. The higher figure on the A100 benefits precision sensitive kernels.

Which GPU handles higher memory bandwidth workloads?▾

The A100 delivers 2039 GB/s bandwidth compared to 224 GB/s on the RTX 2000 Ada. Larger transfers complete faster on the A100.

What power limits apply to each card?▾

The A100 TDP is 400W and the RTX 2000 Ada TDP is 70W. Systems with strict power budgets favor the RTX 2000 Ada.

Does the A100 support NVLink connectivity?▾

The A100 includes NVLink interconnect while the RTX 2000 Ada uses only PCIe 4.0. Multi GPU scaling differs accordingly.

Which is cheaper to rent, the A100 or the RTX 2000 Ada?▾

Cloud rental prices for both the A100 and RTX 2000 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 A100 have compared to the RTX 2000 Ada?▾

The A100 has 40 to 80 GB of HBM2e memory. The RTX 2000 Ada has 16 GB of GDDR6 memory.

Can I find A100 and RTX 2000 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 A100 and the RTX 2000 Ada?▾

The A100 uses the Ampere architecture (2020) while the RTX 2000 Ada uses Ada Lovelace (2024). The A100 has 40-80 GB of HBM2e at 2,039 GB/s; the RTX 2000 Ada has 16 GB of GDDR6 at 224 GB/s, so the A100 has 9.1x 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 A100 and the RTX 2000 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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