B200 SXM vs H100 PCIe

BlackwellvsHopperUpdated 35 days ago

The B200 SXM emerges as the winner for prevalent AI workloads like LLM training and inference. Its 4500 TFLOPS FP16, 192 GB VRAM, and 8000 GB/s bandwidth provide 2x gains over H100's specs, justifying premium pricing for production-scale efficiency.

B200 SXM from $3.95/hrH100 PCIe from $1.90/hr

Specifications Compared

SpecB200H100
TDP1000W700W
VRAM192 GB80-94 GB
CUDA Cores18,43216,896
Memory TypeHBM3eHBM3
ArchitectureBlackwellHopper
Form FactorsSXM, NVLSXM5, PCIe, NVL
InterconnectNVLink, PCIe 6.0, InfiniBandNVLink, PCIe 5.0, InfiniBand
Tensor Cores576528
FP8 Performance9,000 TFLOPS3,958 TFLOPS
FP16 Performance4,500 TFLOPS1,979 TFLOPS
FP32 Performance90 TFLOPS67 TFLOPS
FP64 Performance45 TFLOPS34 TFLOPS
INT8 Performance9,000 TOPS3,958 TOPS
Memory Bandwidth8,000 GB/s3,350 GB/s

Performance Analysis

The B200 SXM outperforms the H100 PCIe in compute-intensive tasks due to higher throughput rates. FP16 performance reaches 4500 TFLOPS on B200 versus 1979 TFLOPS on H100, enabling over 2x faster deep learning training for models like transformers. FP32 capability improves to 90 TFLOPS from 67 TFLOPS, benefiting simulations requiring single-precision arithmetic.

Inference workloads favor B200's FP8 performance of 9000 TFLOPS, nearly 2.3x H100's 3958 TFLOPS, for deploying quantized models at scale. The 8000 GB/s memory bandwidth on B200 supports larger batch sizes than H100's 3350 GB/s, minimizing data transfer bottlenecks and boosting effective throughput in memory-bound scenarios such as LLM fine-tuning.

Live Cloud Pricing

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

B200 SXM

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Nebius
Nebius
NVIDIA B200 SXM
192GB VRAM
$3.95/GPU/hr
Cirrascale
Cirrascale
8×NVIDIA B200 SXM
192GB VRAM
$4.79/GPU/hr
$38.32/hr total (8×)
Cirrascale
Cirrascale
8×NVIDIA B200 SXM
192GB VRAM
$5.39/GPU/hr
$43.12/hr total (8×)
Cirrascale
Cirrascale
8×NVIDIA B200 SXM
192GB VRAM
$5.69/GPU/hr
$45.52/hr total (8×)
RunPod
RunPod
NVIDIA B200 SXM
192GB VRAM
$5.89/GPU/hr

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×)

Compare real-time pricing across 25+ providers

When to Choose the B200 SXM

Select the B200 SXM for memory-intensive applications like training massive LLMs exceeding 100 billion parameters: its 192 GB HBM3e VRAM handles datasets that saturate H100's 80-94 GB limits. High bandwidth of 8000 GB/s further accelerates large-batch training, ideal for research labs prioritizing peak performance over cost.

When to Choose the H100 PCIe

The H100 PCIe suits budget-conscious deployments or power-restricted environments: its 700W TDP consumes 30% less energy than B200's 1000W. At starting prices of $1.25 per hour versus $1.71, it delivers sufficient FP16 performance of 1979 TFLOPS for mid-scale inference without overprovisioning.

Use Cases

LLM Training
B200 SXM

B200's 4500 TFLOPS FP16 and 192 GB VRAM enable training of larger models with bigger batches than H100's 1979 TFLOPS and 80-94 GB.

LLM Inference
B200 SXM

FP8 throughput of 9000 TFLOPS on B200 doubles H100's 3958 TFLOPS, supporting high-volume quantized inference. Extra 192 GB VRAM accommodates multiple concurrent requests.

Fine-tuning
Either

H100's 1979 TFLOPS FP16 suffices for smaller models at lower $1.25 per hour cost. B200 excels for parameter-heavy fine-tuning with 4500 TFLOPS and 8000 GB/s bandwidth.

Stable Diffusion
H100 PCIe

H100's 80-94 GB VRAM and 3350 GB/s bandwidth handle image generation efficiently at 700W TDP. B200's capacity exceeds typical needs, increasing costs unnecessarily.

Scientific Computing
B200 SXM

B200's 90 TFLOPS FP32 outperforms H100's 67 TFLOPS for simulations. 192 GB VRAM supports complex datasets in fields like climate modeling.

Frequently Asked Questions

What is the VRAM difference between NVIDIA B200 SXM and H100 PCIe?

B200 SXM provides 192 GB HBM3e VRAM, more than double H100 PCIe maximum of 94 GB HBM3. This allows B200 to process larger models without swapping. Bandwidth reaches 8000 GB/s on B200 versus 3350 GB/s on H100.

How do compute performances compare for AI training?

B200 SXM delivers 4500 TFLOPS FP16, exceeding H100 PCIe 1979 TFLOPS by 2.3x for faster training. FP32 stands at 90 TFLOPS on B200 against 67 TFLOPS on H100. These gains reduce epoch times significantly.

What are the current cloud rental prices?

NVIDIA B200 SXM starts at $1.71 per hour, averaging $4.60 across 13 offers. H100 PCIe begins at $1.25 per hour, averaging $2.65 across 21 offers. Prices fluctuate based on provider and region.

Which GPU is better for inference?

B200 SXM leads with 9000 TFLOPS FP8, 2.3x H100 PCIe 3958 TFLOPS for quantized inference. Its 192 GB VRAM supports serving larger models. H100 remains viable for lighter loads.

How do power consumptions differ?

B200 SXM has a 1000W TDP, 43% higher than H100 PCIe 700W. This impacts cooling and energy costs in clusters. H100 offers better efficiency for dense deployments.

Is B200 compatible with H100 infrastructure?

B200 SXM uses NVLink, PCIe 6.0, and InfiniBand, advancing H100 PCIe NVLink, PCIe 5.0, and InfiniBand. PCIe 6.0 requires updated hosts. Both support SXM and NVL form factors variably.

Which is cheaper to rent, the B200 or the H100?

Cloud rental prices for both the B200 and H100 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 B200 have compared to the H100?

The B200 has 192 GB of HBM3e memory. The H100 has 80 to 94 GB of HBM3 memory.

Can I find B200 and H100 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 B200 and the H100?

The B200 uses the Blackwell architecture (2024) while the H100 uses Hopper (2022). The B200 delivers 2.3x the FP16 throughput and 2.4x the memory bandwidth of the H100.

B200 SXM vs H100 PCIe: 2.3x FP16 Gap, 192GB vs 94GB | GPUPerHour