H100 NVL vs RTX 4090

HoppervsAda LovelaceUpdated 35 days ago

The H100 NVL emerges as the winner for dominant AI use cases like LLM training and inference: 1979 TFLOPS FP16, 80 to 94 GB VRAM, and 3350 GB/s bandwidth deliver unmatched scale over RTX 4090's consumer limits. Despite 18 times higher average pricing, its performance justifies investment for production workloads.

H100 NVL from $1.90/hrRTX 4090 from $0.39/hr

Specifications Compared

SpecH100RTX-4090
TDP700W450W
VRAM80-94 GB24 GB
CUDA Cores16,89616,384
Memory TypeHBM3GDDR6X
ArchitectureHopperAda Lovelace
Form FactorsSXM5, PCIe, NVLPCIe
InterconnectNVLink, PCIe 5.0, InfiniBandPCIe 4.0
Tensor Cores528512
FP8 Performance3,958 TFLOPS660 TFLOPS
FP16 Performance1,979 TFLOPS165 TFLOPS
FP32 Performance67 TFLOPS82.6 TFLOPS
FP64 Performance34 TFLOPS1.3 TFLOPS
INT8 Performance3,958 TOPS660 TOPS
Memory Bandwidth3,350 GB/s1,008 GB/s

Performance Analysis

Memory capacity defines a core disparity: H100 NVL's 80 to 94 GB HBM3 supports models exceeding 24 GB GDDR6X on RTX 4090, enabling larger batch sizes in training. Bandwidth at 3350 GB/s on H100 NVL versus 1008 GB/s on RTX 4090 accelerates data movement, reducing bottlenecks in inference for large language models. FP16 performance reaches 1979 TFLOPS on H100 NVL against 165 TFLOPS on RTX 4090, favoring H100 NVL for training deep neural networks where half-precision dominates. FP32 sits closer with 67 TFLOPS on H100 NVL and 82.6 TFLOPS on RTX 4090, but FP8 leaps to 3958 TFLOPS versus 660 TFLOPS, boosting quantized inference efficiency on H100 NVL. Higher TDP of 700W on H100 NVL reflects its datacenter design, contrasting 450W on RTX 4090 for denser consumer deployments. Real-world impacts include H100 NVL handling enterprise-scale workloads without memory swaps, while RTX 4090 suits prototyping with sufficient speed for mid-sized tasks.

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 4090

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
TensorDock
TensorDock
NVIDIA GeForce RTX 4090
24GB VRAM
$0.39/GPU/hr
Available
TensorDock
TensorDock
NVIDIA GeForce RTX 4090
24GB VRAM
$0.48/GPU/hr
Available
Vast.ai
Vast.ai
4×NVIDIA GeForce RTX 4090
24GB VRAM
$0.53/GPU/hr
$2.13/hr total (4×)
Available
Vast.ai
Vast.ai
4×NVIDIA GeForce RTX 4090
24GB VRAM
$0.67/GPU/hr
$2.67/hr total (4×)
Available
Vast.ai
Vast.ai
4×NVIDIA GeForce RTX 4090
24GB VRAM
$0.67/GPU/hr
$2.67/hr total (4×)
Available

Compare real-time pricing across 25+ providers

When to Choose the H100 NVL

Choose the H100 NVL for large-scale LLM training or inference requiring over 24 GB VRAM: its 80 to 94 GB HBM3 and 3350 GB/s bandwidth manage massive datasets without fragmentation. Enterprise teams prioritize its 1979 TFLOPS FP16 and 3958 TFLOPS FP8 for accelerating multi-node jobs via NVLink and InfiniBand, unavailable on RTX 4090. Cloud deployments at $1.40 to $2.89 per hour justify costs for production AI pipelines.

When to Choose the RTX 4090

Opt for RTX 4090 in budget-conscious scenarios like fine-tuning small models or Stable Diffusion: 24 GB GDDR6X suffices at $0.16 to $0.46 per hour across abundant offers. Prototyping benefits from 82.6 TFLOPS FP32 and PCIe 4.0 simplicity, avoiding H100 NVL's 700W TDP and higher pricing. Individual developers or SMBs gain cost savings for non-enterprise tasks.

Use Cases

LLM Training
H100 NVL

H100 NVL's 1979 TFLOPS FP16 and 80 to 94 GB HBM3 handle massive parameter counts and large batches unattainable on RTX 4090's 165 TFLOPS FP16 and 24 GB VRAM.

LLM Inference
H100 NVL

3958 TFLOPS FP8 and 3350 GB/s bandwidth on H100 NVL enable high-throughput quantized serving for production-scale models, surpassing RTX 4090's 660 TFLOPS FP8.

Fine-tuning
Either

RTX 4090's 24 GB VRAM and $0.16 per hour pricing suit small datasets, while H100 NVL excels for larger ones with 80 to 94 GB capacity.

Stable Diffusion
RTX 4090

RTX 4090's 165 TFLOPS FP16 and low $0.46 average hourly cost deliver efficient image generation without needing H100 NVL's enterprise features.

Scientific Computing
H100 NVL

H100 NVL's 3350 GB/s bandwidth and NVLink support massive simulations, outperforming RTX 4090's 1008 GB/s PCIe 4.0 limits.

Frequently Asked Questions

Which GPU has more VRAM: H100 NVL or RTX 4090?

H100 NVL provides 80 to 94 GB HBM3 VRAM, far exceeding RTX 4090's 24 GB GDDR6X. This enables H100 NVL to load larger models without offloading. RTX 4090 suffices for models under 24 GB.

How do H100 NVL and RTX 4090 compare in cloud pricing?

H100 NVL starts at $1.40 per hour averaging $2.89 across nine offers, while RTX 4090 begins at $0.16 per hour averaging $0.46 across 114 offers. RTX 4090 offers better value for light workloads. H100 NVL suits high-performance needs.

Is H100 NVL better for AI training than RTX 4090?

H100 NVL dominates with 1979 TFLOPS FP16 versus RTX 4090's 165 TFLOPS. Its 80 to 94 GB VRAM supports bigger batches. RTX 4090 works for smaller training runs.

What is the memory bandwidth difference between H100 NVL and RTX 4090?

H100 NVL achieves 3350 GB/s, over three times RTX 4090's 1008 GB/s. This boosts data-heavy tasks like inference. Lower bandwidth limits RTX 4090 batch sizes.

Can RTX 4090 replace H100 NVL for LLM inference?

RTX 4090's 660 TFLOPS FP8 handles small LLMs, but H100 NVL's 3958 TFLOPS and 80 to 94 GB VRAM scale better for production. Use RTX 4090 for prototyping at lower cost.

Which has higher power consumption: H100 NVL or RTX 4090?

H100 NVL draws 700W TDP, higher than RTX 4090's 450W. This reflects datacenter optimization on H100 NVL. RTX 4090 fits power-constrained setups.

Which is cheaper to rent, the H100 or the RTX 4090?

Cloud rental prices for both the H100 and RTX 4090 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 4090?

The H100 has 80 to 94 GB of HBM3 memory. The RTX 4090 has 24 GB of GDDR6X memory.

Can I find H100 and RTX 4090 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 4090?

The H100 uses the Hopper architecture (2022) while the RTX 4090 uses Ada Lovelace (2022). The H100 delivers 12.0x the FP16 throughput and 3.3x the memory bandwidth of the RTX 4090.

H100 NVL vs RTX 4090: 12.0x FP16 Gap, 94GB vs 24GB | GPUPerHour