H100 PCIe vs H200 SXM

HoppervsHopperUpdated 35 days ago

H200 SXM emerges as the winner for dominant AI use cases like LLM training and inference. Its 141 GB VRAM and 4800 GB/s bandwidth manage larger models and batches without compromise, outweighing H100 PCIe despite higher average pricing.

H100 PCIe from $1.90/hrH200 SXM from $1.99/hr

Specifications Compared

SpecH100H200
TDP700W700W
VRAM80-94 GB141 GB
CUDA Cores16,89616,896
Memory TypeHBM3HBM3e
ArchitectureHopperHopper
Form FactorsSXM5, PCIe, NVLSXM, NVL
InterconnectNVLink, PCIe 5.0, InfiniBandNVLink, PCIe 5.0, InfiniBand
Tensor Cores528528
FP8 Performance3,958 TFLOPS3,958 TFLOPS
FP16 Performance1,979 TFLOPS1,979 TFLOPS
FP32 Performance67 TFLOPS67 TFLOPS
FP64 Performance34 TFLOPS34 TFLOPS
INT8 Performance3,958 TOPS3,958 TOPS
Memory Bandwidth3,350 GB/s4,800 GB/s

Performance Analysis

Memory capacity sets H200 SXM apart: 141 GB HBM3e versus H100 PCIe 80-94 GB HBM3 enables 50-76% more model parameters in a single GPU. This supports larger batch sizes in LLM training, reducing iterations and time to convergence.

Bandwidth advantage reaches 43%: 4800 GB/s on H200 SXM over 3350 GB/s on H100 PCIe accelerates data transfers, vital for inference where high throughput lowers latency. FP16 at 1979 TFLOPS and FP32 at 67 TFLOPS remain identical, so compute-bound tasks perform equally.

In practice, H200 SXM shines in memory-bound scenarios like serving 70B+ parameter models, fitting full KV caches without quantization. H100 PCIe suffices for models under 80 GB but bottlenecks on bandwidth-intensive pipelines.

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
Hyperstack
Hyperstack
8×NVIDIA H100 PCIe
80GB VRAM
$1.95/GPU/hr
$15.60/hr total (8×)
Available

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

Compare real-time pricing across 25+ providers

When to Choose the H100 PCIe

Choose H100 PCIe for PCIe 5.0 flexibility in diverse server setups without SXM requirements. Its average cloud price of $2.77/hr beats H200 SXM's $3.70/hr, ideal for cost-sensitive projects with models fitting 80-94 GB VRAM.

Workloads like fine-tuning 13B-30B LLMs or Stable Diffusion benefit from sufficient 3350 GB/s bandwidth and lower entry pricing from $1.25/hr.

When to Choose the H200 SXM

Select H200 SXM when 141 GB HBM3e VRAM handles massive models exceeding 94 GB, such as 70B+ LLMs in training or inference. The 4800 GB/s bandwidth supports high-throughput serving in dense NVLink clusters.

High-density HPC environments favor SXM form factor despite higher average $3.70/hr pricing from $1.19/hr.

Use Cases

LLM Training
H200 SXM

H200 SXM's 141 GB VRAM supports larger models and batch sizes than H100 PCIe 80-94 GB. The 4800 GB/s bandwidth reduces data bottlenecks during gradient computations.

LLM Inference
H200 SXM

141 GB HBM3e fits bigger KV caches for long-context inference on H200 SXM. 4800 GB/s bandwidth enables higher throughput versus H100 PCIe 3350 GB/s.

Fine-tuning
H200 SXM

H200 SXM accommodates larger parameter counts up to 141 GB during fine-tuning. Bandwidth edge speeds optimizer steps over H100 PCIe.

Stable Diffusion
H100 PCIe

H100 PCIe 80-94 GB VRAM suffices for diffusion models under 80 GB. Lower average $2.77/hr pricing fits creative workflows better than H200 SXM.

Scientific Computing
Either

Matching 1979 TFLOPS FP16 and 67 TFLOPS FP32 suit simulations on both. Choose H100 PCIe for PCIe compatibility or H200 SXM for memory-heavy datasets.

Frequently Asked Questions

What is the VRAM difference between H100 PCIe and H200 SXM?

H100 PCIe offers 80-94 GB HBM3 VRAM. H200 SXM provides 141 GB HBM3e VRAM. This enables H200 SXM to load 50-76% larger models without multi-GPU sharding.

How do memory bandwidths compare?

H100 PCIe delivers 3350 GB/s bandwidth. H200 SXM reaches 4800 GB/s, a 43% increase. Higher bandwidth on H200 SXM accelerates inference and large-batch training.

Are compute performances identical?

Yes, both achieve 1979 TFLOPS FP16, 67 TFLOPS FP32, and 3958 TFLOPS FP8. Differences lie solely in memory specs and form factors.

What are current cloud prices?

H100 PCIe starts from $1.25/hr, average $2.77/hr across 16 offers. H200 SXM starts from $1.19/hr, average $3.70/hr across 23 offers.

Which form factor suits clusters better?

H200 SXM optimizes NVLink dense clusters with NVL support. H100 PCIe fits PCIe 5.0 slots for flexible, non-specialized deployments.

Does H200 SXM consume more power?

No, both maintain 700W TDP. Power draw matches despite H200 SXM's enhanced memory.

Which is cheaper to rent, the H100 or the H200?

Cloud rental prices for both the H100 and H200 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 H200?

The H100 has 80 to 94 GB of HBM3 memory. The H200 has 141 GB of HBM3e memory.

Can I find H100 and H200 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 H200?

The H100 uses the Hopper architecture (2022) while the H200 uses Hopper (2024). The H200 delivers 1.0x the FP16 throughput and 1.4x the memory bandwidth of the H100.

H100 PCIe vs H200 SXM: 141GB HBM3e vs 94GB HBM3 | GPUPerHour