H100 PCIe vs RTX 4070 Ti

HoppervsAda LovelaceUpdated 35 days ago

The H100 PCIe emerges as the superior choice for most AI workloads: its 1979 TFLOPS FP16 and 80 to 94 GB VRAM enable training massive LLMs infeasible on the RTX 4070 Ti's 12 GB and 29.1 TFLOPS. Despite higher $2.59 per hour average cost, performance justifies it over the budget $0.22 per hour alternative.

H100 PCIe from $1.90/hrRTX 4070 Ti from $0.50/hr

Specifications Compared

SpecH100RTX-4070
TDP700W200W
VRAM80-94 GB12 GB
CUDA Cores16,8965,888
Memory TypeHBM3GDDR6X
ArchitectureHopperAda Lovelace
Form FactorsSXM5, PCIe, NVLPCIe
InterconnectNVLink, PCIe 5.0, InfiniBand
Tensor Cores528184
FP8 Performance3,958 TFLOPS
FP16 Performance1,979 TFLOPS29.1 TFLOPS
FP32 Performance67 TFLOPS29.1 TFLOPS
FP64 Performance34 TFLOPS
INT8 Performance3,958 TOPS466 TOPS
Memory Bandwidth3,350 GB/s504 GB/s

Performance Analysis

The H100 PCIe dominates in compute performance: its FP16 reaches 1979 TFLOPS and FP8 hits 3958 TFLOPS, enabling rapid AI training and inference on large datasets. The RTX 4070 Ti offers 29.1 TFLOPS in both FP16 and FP32, suitable for smaller models but lagging by over 68 times in FP16. This FP16 to FP32 delta on the H100 PCIe accelerates mixed-precision training, where FP16 handles forward passes efficiently while FP32 ensures numerical stability. The RTX 4070 Ti's balanced FP16 and FP32 suits gaming or inference without heavy optimization needs. Memory bandwidth disparity proves critical: 3350 GB/s on the H100 PCIe supports batch sizes for models exceeding 12 GB VRAM, preventing out-of-memory errors in LLM training. The RTX 4070 Ti's 504 GB/s limits it to smaller batches, slowing throughput on memory-bound tasks. Power draw reflects this: 700W TDP for H100 PCIe versus 200W for RTX 4070 Ti impacts density in cloud instances.

Live Cloud Pricing

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

H100 PCIe

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
Voltage Park
Voltage Park
8×NVIDIA H100 SXM5
80GB VRAM
$1.99/GPU/hr
$15.92/hr total (8×)

RTX 4070 Ti

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
RunPod
RunPod
NVIDIA GeForce RTX 4070 Ti
12GB VRAM
$0.50/GPU/hr

Compare real-time pricing across 25+ providers

When to Choose the H100 PCIe

Select the H100 PCIe for large-scale LLM training or inference requiring over 80 GB VRAM, such as fine-tuning models with billions of parameters. Its 3350 GB/s bandwidth and 1979 TFLOPS FP16 excel in multi-GPU setups via NVLink or PCIe 5.0, ideal for enterprise cloud deployments at $1.25 per hour starting price.

When to Choose the RTX 4070 Ti

Opt for the RTX 4070 Ti in cost-sensitive scenarios like Stable Diffusion image generation or small-scale inference on models under 12 GB. At $0.08 per hour, it delivers 29.1 TFLOPS FP16 efficiently for gaming or prototyping, with 200W TDP suiting single-user workstations.

Use Cases

LLM Training
H100 PCIe

The H100 PCIe provides 80 to 94 GB HBM3 VRAM and 1979 TFLOPS FP16, essential for training large language models with massive datasets. The RTX 4070 Ti's 12 GB VRAM cannot handle such scales.

LLM Inference
H100 PCIe

H100 PCIe supports high-throughput inference via 3958 TFLOPS FP8 and 3350 GB/s bandwidth for large batches. RTX 4070 Ti limits inference to smaller models due to 12 GB VRAM.

Fine-tuning
H100 PCIe

Fine-tuning benefits from H100 PCE's 67 TFLOPS FP32 and extensive VRAM for parameter-efficient methods on big models. RTX 4070 Ti suffices only for tiny datasets.

Stable Diffusion
RTX 4070 Ti

RTX 4070 Ti handles image generation effectively with 29.1 TFLOPS FP16 at $0.08 per hour. H100 PCIe overkill for consumer-scale diffusion tasks.

Scientific Computing
H100 PCIe

H100 PCIe excels in simulations needing 3350 GB/s bandwidth and 700W TDP scalability. RTX 4070 Ti adequate for basic computations but lacks interconnects.

Frequently Asked Questions

Which GPU has more VRAM: H100 PCIe or RTX 4070 Ti?

The H100 PCIe offers 80 to 94 GB HBM3 VRAM, dwarfing the RTX 4070 Ti's 12 GB GDDR6X. This enables larger models on H100 PCIe. Bandwidth follows suit at 3350 GB/s versus 504 GB/s.

What are the cloud rental prices for these GPUs?

H100 PCIe rentals start at $1.25 per hour, averaging $2.59 per hour across 22 offers. RTX 4070 Ti begins at $0.08 per hour with $0.22 per hour average over 5 offers. Price reflects performance disparity.

How do FP16 performances compare?

H100 PCIe achieves 1979 TFLOPS in FP16, over 68 times the RTX 4070 Ti's 29.1 TFLOPS. This gap accelerates AI training on H100 PCIe. FP8 on H100 reaches 3958 TFLOPS for inference.

What is the power consumption difference?

H100 PCIe draws 700W TDP, suited for datacenter cooling. RTX 4070 Ti uses 200W, ideal for consumer setups. Higher TDP correlates with H100's compute density.

Can RTX 4070 Ti handle LLM training?

RTX 4070 Ti's 12 GB VRAM limits it to small LLMs with 29.1 TFLOPS FP16. H100 PCIe with 80 to 94 GB supports full-scale training. Use RTX for prototyping only.

What architectures power these GPUs?

H100 PCIe uses Hopper from 2022 optimized for AI. RTX 4070 Ti employs Ada Lovelace from 2023 for gaming and general compute. Hopper prioritizes tensor cores.

Which is cheaper to rent, the H100 or the RTX 4070?

Cloud rental prices for both the H100 and RTX 4070 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 4070?

The H100 has 80 to 94 GB of HBM3 memory. The RTX 4070 has 12 GB of GDDR6X memory.

Can I find H100 and RTX 4070 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 4070?

The H100 uses the Hopper architecture (2022) while the RTX 4070 uses Ada Lovelace (2023). The H100 delivers 68.0x the FP16 throughput and 6.6x the memory bandwidth of the RTX 4070.

H100 PCIe vs RTX 4070 Ti: 68.0x FP16 Gap, 94GB vs 12GB | GPUPerHour