H200 SXM vs RTX 4070 Ti

HoppervsAda LovelaceUpdated 35 days ago

The H200 SXM emerges as the clear winner for dominant AI/ML use cases like LLM training and inference. Its 141 GB VRAM, 1979 TFLOPS FP16, and 4800 GB/s bandwidth enable workloads infeasible on the RTX 4070 Ti, despite the latter's 40 times lower pricing. Professionals prioritize performance over cost in scalable cloud environments.

H200 SXM from $1.99/hrRTX 4070 Ti from $0.50/hr

Specifications Compared

SpecH200RTX-4070
TDP700W200W
VRAM141 GB12 GB
CUDA Cores16,8965,888
Memory TypeHBM3eGDDR6X
ArchitectureHopperAda Lovelace
Form FactorsSXM, 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 Bandwidth4,800 GB/s504 GB/s

Performance Analysis

The H200 dominates in raw compute with 1979 TFLOPS FP16 performance, enabling rapid training of massive neural networks that the RTX 4070 Ti's 29.1 TFLOPS cannot match. Its FP32 capability of 67 TFLOPS further accelerates single-precision tasks common in scientific simulations, outpacing the RTX 4070 Ti's identical 29.1 TFLOPS in both FP16 and FP32. This FP16 to FP32 delta on the H200 optimizes mixed-precision training, reducing memory usage while maintaining speed.

Memory specifications define real-world usability: the H200's 141 GB HBM3e VRAM supports enormous batch sizes for LLMs exceeding 100 billion parameters, whereas the RTX 4070 Ti's 12 GB GDDR6X limits models to smaller scales. Bandwidth at 4800 GB/s on the H200 minimizes data bottlenecks during inference, allowing throughput 9.5 times higher than the 504 GB/s on the RTX 4070 Ti. Consequently, H200 excels in high-throughput environments, while RTX 4070 Ti suits low-latency prototyping.

Power draw underscores efficiency differences: H200's 700W TDP demands robust cooling and infrastructure, contrasting the RTX 4070 Ti's efficient 200W for edge deployments.

Live Cloud Pricing

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

H200 SXM

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vultr
Vultr
NVIDIA GH200 Grace Hopper
96GB VRAM
$1.99/GPU/hr
Available
Lambda Labs
Lambda Labs
NVIDIA GH200 Grace Hopper
96GB VRAM
$2.29/GPU/hr
Available
Nebius
Nebius
NVIDIA H200 SXM
141GB VRAM
$2.45/GPU/hr
CoreWeave
CoreWeave
8×NVIDIA H200 SXM
141GB VRAM
$2.58/GPU/hr
$20.64/hr total (8×)
Ori
Ori
4×NVIDIA H200 SXM
141GB VRAM
$3.50/GPU/hr
$14.00/hr total (4×)
Available

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 H200 SXM

The H200 SXM proves superior for large-scale AI training and inference where models demand over 100 GB VRAM. Its 141 GB HBM3e and 4800 GB/s bandwidth handle batch sizes impossible on consumer cards, ideal for enterprise teams processing trillion-parameter LLMs. Cloud pricing at $3.05 per hour justifies the investment for production workloads requiring NVLink interconnects.

When to Choose the RTX 4070 Ti

The RTX 4070 Ti fits budget-conscious users prototyping small ML models under 10 GB VRAM. At $0.08 per hour, it delivers 29.1 TFLOPS FP32 for gaming, Stable Diffusion, or fine-tuning compact networks without datacenter overhead. Its 200W TDP and PCIe form factor enable easy local or small cloud setups.

Use Cases

LLM Training
H200 SXM

The H200's 141 GB HBM3e VRAM and 1979 TFLOPS FP16 support training models over 100 billion parameters with large batch sizes. RTX 4070 Ti's 12 GB limits it to tiny models.

LLM Inference
H200 SXM

H200's 4800 GB/s bandwidth and FP8 at 3958 TFLOPS enable high-throughput serving of massive LLMs. RTX 4070 Ti struggles with models beyond 12 GB.

Fine-tuning
H200 SXM

H200 handles full fine-tuning of large models with 67 TFLOPS FP32. RTX 4070 Ti suffices only for small LoRA adapters under 12 GB.

Stable Diffusion
RTX 4070 Ti

RTX 4070 Ti's 29.1 TFLOPS FP16 generates images efficiently at 12 GB VRAM for consumer workflows. H200 overkill at 700W and higher cost.

Scientific Computing
H200 SXM

H200's 67 TFLOPS FP32 and NVLink interconnect accelerate simulations with massive datasets. RTX 4070 Ti's 29.1 TFLOPS limits complex computations.

Frequently Asked Questions

Which GPU has more VRAM: H200 or RTX 4070 Ti?

The H200 offers 141 GB HBM3e VRAM, vastly exceeding the RTX 4070 Ti's 12 GB GDDR6X. This enables H200 to load models 11 times larger for AI tasks. RTX 4070 Ti suits smaller datasets.

How do their prices compare in the cloud?

H200 SXM starts at $3.05 per hour, averaging $3.94 across 21 offers. RTX 4070 Ti begins at $0.08 per hour, averaging $0.22 across 5 offers. The gap reflects datacenter versus consumer capabilities.

What is the FP16 performance difference?

H200 delivers 1979 TFLOPS FP16, over 68 times the RTX 4070 Ti's 29.1 TFLOPS. This accelerates deep learning training significantly on H200. Consumer tasks see less disparity.

Which is better for LLM inference?

H200 excels with 4800 GB/s bandwidth and 141 GB VRAM for high-batch inference on large models. RTX 4070 Ti handles small LLMs at lower cost but reduced throughput.

Compare their power consumption.

H200 requires 700W TDP for peak performance in SXM form factors. RTX 4070 Ti uses 200W, ideal for efficient PCIe setups. H200 demands advanced cooling.

Can RTX 4070 Ti replace H200 for training?

No, RTX 4070 Ti's 12 GB VRAM cannot handle large-scale training needing 141 GB like H200 provides. It works for prototyping only. H200's NVLink scales multi-GPU jobs.

Which is cheaper to rent, the H200 or the RTX 4070?

Cloud rental prices for both the H200 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 H200 have compared to the RTX 4070?

The H200 has 141 GB of HBM3e memory. The RTX 4070 has 12 GB of GDDR6X memory.

Can I find H200 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 H200 and the RTX 4070?

The H200 uses the Hopper architecture (2024) while the RTX 4070 uses Ada Lovelace (2023). The H200 delivers 68.0x the FP16 throughput and 9.5x the memory bandwidth of the RTX 4070.

H200 SXM vs RTX 4070 Ti: 68.0x FP16 Gap, 141GB vs 12GB | GPUPerHour