H100 NVL vs RTX 5090

HoppervsBlackwellUpdated 35 days ago

The NVIDIA H100 NVL emerges as the superior choice for prevalent AI workloads like LLM training and inference, thanks to 80 to 94 GB VRAM, 3350 GB/s bandwidth, and 1979 TFLOPS FP16. These specs enable scaling massive models unattainable on RTX 5090's 32 GB limit, justifying higher costs for production environments.

H100 NVL from $1.90/hrRTX 5090 from $0.57/hr

Specifications Compared

SpecH100RTX-5090
TDP700W575W
VRAM80-94 GB32 GB
CUDA Cores16,89621,760
Memory TypeHBM3GDDR7
ArchitectureHopperBlackwell
Form FactorsSXM5, PCIe, NVLPCIe
InterconnectNVLink, PCIe 5.0, InfiniBandPCIe 5.0
Tensor Cores528680
FP8 Performance3,958 TFLOPS838 TFLOPS
FP16 Performance1,979 TFLOPS419 TFLOPS
FP32 Performance67 TFLOPS105 TFLOPS
FP64 Performance34 TFLOPS1.6 TFLOPS
INT8 Performance3,958 TOPS838 TOPS
Memory Bandwidth3,350 GB/s1,792 GB/s

Performance Analysis

The H100 NVL dominates in FP16 performance with 1979 TFLOPS, ideal for AI training where mixed-precision computations accelerate model convergence. This contrasts with the RTX 5090's 419 TFLOPS in FP16, limiting it to smaller batch sizes in training runs. For inference, the H100 NVL's FP8 capability of 3958 TFLOPS supports ultra-low latency on large language models, far exceeding the RTX 5090's 838 TFLOPS.

FP32 differences matter for scientific simulations: RTX 5090 offers 105 TFLOPS versus H100 NVL's 67 TFLOPS, providing better single-precision throughput for certain workloads. Memory bandwidth profoundly impacts batch sizes; H100 NVL's 3350 GB/s allows processing datasets up to 94 GB without swapping, while RTX 5090's 1792 GB/s and 32 GB VRAM constrain it to modest scales.

Power draw reflects scaling potential: H100 NVL at 700W suits dense clusters, whereas RTX 5090's 575W enables consumer setups with lower cooling needs.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

H100 NVL

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Hyperstack
Hyperstack
4×NVIDIA H100 PCIe
80GB VRAM
$1.90/GPU/hr
$7.60/hr total (4×)
Available
Hyperstack
Hyperstack
2×NVIDIA H100 PCIe
80GB VRAM
$1.90/GPU/hr
$3.80/hr total (2×)
Available
Hyperstack
Hyperstack
8×NVIDIA H100 PCIe
80GB VRAM
$1.90/GPU/hr
$15.20/hr total (8×)
Available
Hyperstack
Hyperstack
NVIDIA H100 PCIe
80GB VRAM
$1.90/GPU/hr
Available
Hyperstack
Hyperstack
8×NVIDIA H100 PCIe
80GB VRAM
$1.95/GPU/hr
$15.60/hr total (8×)
Available

RTX 5090

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
TensorDock
TensorDock
NVIDIA GeForce RTX 5090
32GB VRAM
$0.57/GPU/hr
Available
Vast.ai
Vast.ai
NVIDIA GeForce RTX 5090
32GB VRAM
$0.83/GPU/hr
Available
Vast.ai
Vast.ai
NVIDIA GeForce RTX 5090
32GB VRAM
$0.87/GPU/hr
Available
Vast.ai
Vast.ai
NVIDIA GeForce RTX 5090
32GB VRAM
$0.87/GPU/hr
Available
Vast.ai
Vast.ai
NVIDIA GeForce RTX 5090
32GB VRAM
$0.87/GPU/hr
Available

Compare real-time pricing across 25+ providers

When to Choose the H100 NVL

Choose the NVIDIA H100 NVL for large-scale LLM training requiring over 32 GB VRAM, as its 80 to 94 GB HBM3 handles models with billions of parameters without partitioning. Multi-GPU environments benefit from NVLink and InfiniBand interconnects, enabling efficient scaling across nodes at 3350 GB/s bandwidth.

Enterprise inference deployments favor H100 NVL due to 1979 TFLOPS FP16 and 3958 TFLOPS FP8, supporting high-throughput serving of massive models.

When to Choose the RTX 5090

Opt for the NVIDIA GeForce RTX 5090 in cost-sensitive prosumer AI tasks, where pricing starts at $0.09 per hour compared to $1.40 per hour for H100 NVL. Its 105 TFLOPS FP32 suits graphics-intensive simulations or Stable Diffusion generation on single GPUs.

Gaming or development workflows leverage PCIe form factor and 575W TDP for easy integration without datacenter infrastructure.

Use Cases

LLM Training
H100 NVL

H100 NVL's 80 to 94 GB HBM3 VRAM and 3350 GB/s bandwidth support large batch sizes for billion-parameter models. Its 1979 TFLOPS FP16 accelerates convergence far beyond RTX 5090's capabilities.

LLM Inference
H100 NVL

H100 NVL delivers 3958 TFLOPS FP8 for low-latency serving of large models fitting in 94 GB VRAM. RTX 5090's 32 GB limits model sizes without quantization.

Fine-tuning
H100 NVL

High VRAM of 80 to 94 GB on H100 NVL accommodates full model loading during fine-tuning. Bandwidth of 3350 GB/s minimizes data movement overhead.

Stable Diffusion
RTX 5090

RTX 5090's 105 TFLOPS FP32 and lower $0.09 per hour pricing suit image generation workflows. Its PCIe form factor fits consumer setups efficiently.

Scientific Computing
Either

H100 NVL excels in memory-bound tasks with 3350 GB/s bandwidth; RTX 5090 leads FP32 at 105 TFLOPS for compute-heavy simulations.

Frequently Asked Questions

Which GPU has more VRAM: H100 NVL or RTX 5090?

The H100 NVL offers 80 to 94 GB HBM3 VRAM, dwarfing the RTX 5090's 32 GB GDDR7. This enables H100 NVL to load larger AI models without offloading. RTX 5090 suffices for smaller datasets.

How do H100 NVL and RTX 5090 compare in price per hour?

H100 NVL starts at $1.40 per hour with an average of $2.89 across 9 offers. RTX 5090 is far cheaper at $0.09 per hour minimum and $0.63 average over 31 offers. Cost drives RTX 5090 for prototyping.

What is the FP16 performance difference between H100 NVL and RTX 5090?

H100 NVL achieves 1979 TFLOPS in FP16, over 4 times the RTX 5090's 419 TFLOPS. This gap accelerates AI training significantly on H100 NVL. Inference also benefits from the lead.

Does RTX 5090 have higher FP32 than H100 NVL?

RTX 5090 provides 105 TFLOPS FP32, exceeding H100 NVL's 67 TFLOPS. This aids graphics and certain simulations on RTX 5090. H100 NVL prioritizes lower precisions.

Which GPU is better for multi-GPU setups?

H100 NVL supports NVLink, PCIe 5.0, and InfiniBand for scalable clusters. RTX 5090 relies solely on PCIe 5.0 in single-node use. Datacenter scaling favors H100 NVL.

Compare memory bandwidth of H100 NVL vs RTX 5090.

H100 NVL delivers 3350 GB/s, nearly double RTX 5090's 1792 GB/s. Higher bandwidth on H100 NVL boosts large batch processing. RTX 5090 handles moderate workloads adequately.

Which is cheaper to rent, the H100 or the RTX 5090?

Cloud rental prices for both the H100 and RTX 5090 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 5090?

The H100 has 80 to 94 GB of HBM3 memory. The RTX 5090 has 32 GB of GDDR7 memory.

Can I find H100 and RTX 5090 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 5090?

The H100 uses the Hopper architecture (2022) while the RTX 5090 uses Blackwell (2025). The H100 delivers 4.7x the FP16 throughput and 1.9x the memory bandwidth of the RTX 5090.