GPU comparison

H200 vs RTX 5080

Specifications and current cloud pricing, side by side.

HoppervsBlackwellUpdated 33 days ago

The H200 wins for the most common large scale training use case because its 141 GB memory and 989 TFLOPS dense FP16 exceed the RTX 5080 16 GB memory and 112.6 TFLOPS dense FP16 by substantial margins.

H200 listed from $4.23/GPU/hrRTX 5080 listed from $0.59/GPU/hr

Right now, from live stock

Specifications Compared

SpecH200RTX 5080
TDP700W360W
VRAM141 GB16 GB
CUDA Cores16,89610,752
FP4 (dense)Not published900.4 TFLOPS
FP8 (dense)1,979 TFLOPS225.1 TFLOPS
Memory TypeHBM3eGDDR7
ArchitectureHopperBlackwell
FP16 (dense)989 TFLOPS112.6 TFLOPS
Form FactorsSXM, NVLPCIe
INT8 (dense)1,979 TOPS450.2 TOPS
InterconnectNVLink, PCIe 5.0, InfiniBandPCIe 5.0
Tensor Cores528336
FP32 Performance67 TFLOPS56.3 TFLOPS
FP64 Performance34 TFLOPSNot published
Memory Bandwidth4,800 GB/s960 GB/s
FP4 (with sparsity)Not published1,801 TFLOPS
FP8 (with sparsity)3,958 TFLOPS450.2 TFLOPS
FP16 (with sparsity)1,979 TFLOPS225.1 TFLOPS
INT8 (with sparsity)3,958 TOPS900.4 TOPS

Performance Analysis

The FP16 dense figure of 989 TFLOPS on the H200 exceeds the 112.6 TFLOPS dense FP16 on the RTX 5080 by a factor derived from those exact values. This gap affects training throughput where higher dense FP16 capacity supports larger model updates per step. FP32 performance lists 67 TFLOPS on the H200 against 56.3 TFLOPS on the RTX 5080. Memory bandwidth of 4800 GB/s on the H200 compared with 960 GB/s on the RTX 5080 influences maximum batch sizes during inference because data movement scales directly with the 4800 to 960 ratio. Sparse FP16 reaches 1979 TFLOPS on the H200 versus 225.1 TFLOPS on the RTX 5080 so sparsity benefits remain comparable only when both figures carry the sparsity label.

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.

H200

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiCzechia, CZ1$4.23—Deploy
RunPodglobal1$5.29—Deploy
VERDAFIN-HEL2$5.60$11.20Deploy
LyceumEurope2$6.19$12.38Deploy
LeaderGPUThe Netherlands1$6.22—Deploy

5 providers in stock, 9 offers (cheapest per provider shown). All H200 offers, price history and alerts

RTX 5080

RTX 5080 is not offered on-demand by any provider we track right now. See the RTX 5080 rental page for last-seen listed prices and a price alert.

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When to Choose the H200

The H200 suits workloads that require the full 141 GB HBM3e capacity and 4800 GB/s bandwidth. Large model training benefits from the 989 TFLOPS dense FP16 rating and NVLink interconnect options.

When to Choose the RTX 5080

The RTX 5080 fits deployments limited to 360W TDP and 16 GB GDDR7 memory. Inference tasks on compact models align with the 112.6 TFLOPS dense FP16 rating and PCIe form factor.

Use Cases

LLM Training
H200

The H200 supplies 141 GB memory and 989 TFLOPS dense FP16 for models that exceed 16 GB capacity.

LLM Inference
H200

The H200 4800 GB/s bandwidth supports larger batches than the RTX 5080 960 GB/s bandwidth.

Fine-tuning
H200

The H200 1979 TFLOPS dense FP8 enables faster adaptation steps compared with the RTX 5080 225.1 TFLOPS dense FP8.

Stable Diffusion
RTX 5080

The RTX 5080 360W TDP and 16 GB memory suffice for image generation workloads under power constraints.

Scientific Computing
H200

The H200 67 TFLOPS FP32 and NVLink interconnect handle high precision simulations beyond the RTX 5080 56.3 TFLOPS FP32.

Frequently Asked Questions

What is the FP16 dense performance difference between these GPUs?▾

The H200 lists 989 TFLOPS dense FP16 and the RTX 5080 lists 112.6 TFLOPS dense FP16.

Which GPU has higher memory bandwidth?▾

The H200 reaches 4800 GB/s bandwidth whereas the RTX 5080 reaches 960 GB/s bandwidth.

What TDP values apply to the H200 and RTX 5080?▾

The H200 carries a 700W TDP and the RTX 5080 carries a 360W TDP.

Does the H200 support NVLink?▾

The H200 includes NVLink interconnect while the RTX 5080 uses only PCIe 5.0.

What FP32 ratings appear in the specifications?▾

The H200 provides 67 TFLOPS FP32 and the RTX 5080 provides 56.3 TFLOPS FP32.

Which is cheaper to rent, the H200 or the RTX 5080?▾

Cloud rental prices for both the H200 and RTX 5080 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 H200 have compared to the RTX 5080?▾

The H200 has 141 GB of HBM3e memory. The RTX 5080 has 16 GB of GDDR7 memory.

Can I find H200 and RTX 5080 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 H200 and the RTX 5080?▾

The H200 uses the Hopper architecture (2024) while the RTX 5080 uses Blackwell (2025). The H200 delivers 8.8x the dense FP16 throughput (989 vs 112.6 TFLOPS, both without sparsity) and 5.0x the memory bandwidth of the RTX 5080.

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 H200 and the RTX 5080. 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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