GPU comparison

H100 vs RTX 2000 Ada

Specifications and current cloud pricing, side by side.

HoppervsAda LovelaceUpdated 33 days ago

The H100 wins for the most common use case of LLM training. Its 989 TFLOPS dense FP16 combined with 3350 GB/s bandwidth and 80 to 94 GB VRAM deliver the capacity needed for large models.

H100 listed from $2.59/GPU/hrRTX 2000 Ada listed from $0.24/GPU/hr

Right now, from live stock

  • Cheapest right now: H100 at $2.59/hr on QuantaCloud

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  • Most providers in stock: H100 (9)

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Specifications Compared

SpecH100RTX 2000 Ada
TDP700W70W
VRAM80-94 GB16 GB
CUDA Cores16,8962,816
FP8 (dense)1,979 TFLOPSNot published
Memory TypeHBM3GDDR6
ArchitectureHopperAda Lovelace
FP16 (dense)989 TFLOPSNot published
Form FactorsSXM5, PCIe, NVLPCIe
INT8 (dense)1,979 TOPSNot published
InterconnectNVLink, PCIe 5.0, InfiniBandPCIe 4.0
Tensor Cores52888
FP32 Performance67 TFLOPS12 TFLOPS
FP64 Performance34 TFLOPSNot published
Memory Bandwidth3,350 GB/s224 GB/s
FP8 (with sparsity)3,958 TFLOPS191.9 TFLOPS
FP16 (with sparsity)1,979 TFLOPSNot published
INT8 (with sparsity)3,958 TOPSNot published

Performance Analysis

The FP16 dense performance of the H100 reaches 989 TFLOPS compared to the unpublished FP16 value for the RTX 2000 Ada. This delta indicates that the H100 handles training and inference tasks with greater throughput when dense FP16 computations dominate. Memory bandwidth of 3350 GB/s on the H100 versus 224 GB/s on the RTX 2000 Ada allows larger batch sizes during model execution. The H100 also lists FP8 dense at 1979 TFLOPS and FP8 with sparsity at 3958 TFLOPS. In comparison the RTX 2000 Ada reports FP8 with sparsity at 191.9 TFLOPS. Such figures mean the H100 supports more intensive tensor operations in both dense and sparsity modes for demanding applications.

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.

H100

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
QuantaCloudus-midwest-24$2.59$10.36Deploy
Massed Computeus-central-34$2.73$10.92Deploy
Oridallas-28$2.90$23.20Deploy
Vast.aiCzechia, CZ1$3.78—Deploy
RunPodglobal1$3.99—Deploy

9 providers in stock, 22 offers (cheapest per provider shown). All H100 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 H100

The H100 suits large scale training scenarios that require 80 to 94 GB HBM3 VRAM and 3350 GB/s bandwidth. Its 989 TFLOPS dense FP16 and 1979 TFLOPS dense FP8 enable handling of extensive tensor workloads across NVLink interconnects.

When to Choose the RTX 2000 Ada

The RTX 2000 Ada fits compact deployments that operate within a 70W TDP limit and PCIe form factor. Its 12 TFLOPS FP32 and 191.9 TFLOPS FP8 with sparsity support lighter inference tasks on 16 GB GDDR6 memory.

Use Cases

LLM Training
H100

The H100 provides 989 TFLOPS dense FP16 and 80 to 94 GB VRAM which support large model training.

LLM Inference
H100

The H100 achieves 1979 TFLOPS dense FP8 for efficient inference throughput.

Fine-tuning
H100

The H100 supplies 3350 GB/s bandwidth to manage adjusted batch sizes during fine tuning.

Stable Diffusion
RTX 2000 Ada

The RTX 2000 Ada operates at 70W TDP with 12 TFLOPS FP32 for moderate image generation.

Scientific Computing
H100

The H100 delivers 67 TFLOPS FP32 and supports InfiniBand interconnects for compute clusters.

Frequently Asked Questions

How does FP32 performance compare?▾

The H100 reaches 67 TFLOPS in FP32. The RTX 2000 Ada reaches 12 TFLOPS in FP32.

What is the TDP of each GPU?▾

The H100 has a TDP of 700W. The RTX 2000 Ada has a TDP of 70W.

Which GPU supports NVLink?▾

The H100 supports NVLink interconnects. The RTX 2000 Ada uses PCIe 4.0 only.

What memory bandwidth does the H100 have?▾

The H100 has 3350 GB/s memory bandwidth. The RTX 2000 Ada has 224 GB/s memory bandwidth.

Which is cheaper to rent, the H100 or the RTX 2000 Ada?▾

Cloud rental prices for both the H100 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 H100 have compared to the RTX 2000 Ada?▾

The H100 has 80 to 94 GB of HBM3 memory. The RTX 2000 Ada has 16 GB of GDDR6 memory.

Can I find H100 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 H100 and the RTX 2000 Ada?▾

The H100 uses the Hopper architecture (2022) while the RTX 2000 Ada uses Ada Lovelace (2024). The H100 has 80-94 GB of HBM3 at 3,350 GB/s; the RTX 2000 Ada has 16 GB of GDDR6 at 224 GB/s, so the H100 has 15.0x the memory bandwidth of the RTX 2000 Ada.

Rent these GPUs

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Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the H100 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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