B200 vs H100

BlackwellvsHopperUpdated 40 days ago

The B200 emerges as the winner for dominant AI workloads like LLM training and inference, where 4500 TFLOPS FP16 and 192 GB VRAM provide unmatched capacity over the H100's 1979 TFLOPS and 80 GB. Despite higher $4.89 per hour pricing, its 8000 GB/s bandwidth justifies investment for peak performance needs.

B200 from $3.95/hrH100 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

Superior FP16 performance defines the B200's edge in AI training: 4500 TFLOPS versus the H100's 1979 TFLOPS allows over twice the throughput for model optimization on large datasets. FP32 compute follows suit at 90 TFLOPS for the B200 compared to 67 TFLOPS, benefiting scientific simulations requiring precise floating-point operations. In inference scenarios, FP8 at 9000 TFLOPS on the B200 doubles the H100's 3958 TFLOPS, accelerating serving of quantized models.

Memory specifications transform real-world usage: the B200's 192 GB VRAM supports batch sizes up to 2.4 times larger than the H100's 80 GB minimum, reducing overhead in distributed training. Bandwidth of 8000 GB/s on the B200 versus 3350 GB/s minimizes bottlenecks during data-intensive tasks like LLM fine-tuning. Higher TDP of 1000W on the B200 demands robust cooling, contrasting the H100's 700W for denser deployments.

These deltas mean the B200 excels in memory-bound workloads, while the H100 suffices for balanced compute needs.

Live Cloud Pricing

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

B200

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

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

Compare real-time pricing across 25+ providers

When to Choose the B200

The B200 suits deployments demanding maximum scale: training trillion-parameter LLMs leverages its 192 GB VRAM and 4500 TFLOPS FP16 to process massive batches without splitting. Enterprises prioritizing future-proofing choose it for 8000 GB/s bandwidth handling next-gen datasets. Its FP8 at 9000 TFLOPS optimizes high-volume inference in production environments.

When to Choose the H100

The H100 fits cost-sensitive projects: at $0.80 per hour average $2.62, it delivers 1979 TFLOPS FP16 for efficient fine-tuning of models under 80 GB. Wider availability across 22 providers supports rapid prototyping. Lower 700W TDP enables deployment in standard racks without power upgrades.

Use Cases

LLM Training
B200

B200's 4500 TFLOPS FP16 doubles H100's 1979 TFLOPS for faster convergence on large models. 192 GB VRAM supports bigger batches than H100's 80 GB.

LLM Inference
B200

9000 TFLOPS FP8 on B200 outperforms H100's 3958 TFLOPS for quantized serving. Higher 8000 GB/s bandwidth reduces latency in high-throughput scenarios.

Fine-tuning
B200

B200's 192 GB VRAM handles larger models than H100's 80-94 GB without gradient checkpointing. 90 TFLOPS FP32 aids precise parameter updates.

Stable Diffusion
H100

H100's 1979 TFLOPS FP16 suffices for image generation at lower $0.80 per hour cost. Availability across 22 providers speeds experimentation.

Scientific Computing
B200

B200's 90 TFLOPS FP32 exceeds H100's 67 TFLOPS for simulations. 8000 GB/s bandwidth accelerates data-heavy physics computations.

Frequently Asked Questions

Which GPU has more VRAM?

The B200 offers 192 GB HBM3e VRAM, surpassing the H100's 80-94 GB HBM3. This enables larger models on B200. H100 remains viable for sub-100 GB needs.

How do prices compare?

B200 starts at $4.89 per hour average $5.03 across three offers, while H100 is $0.80 per hour average $2.62 across 22 offers. H100 provides better value for entry-level tasks. B200 justifies cost for high-end performance.

Is B200 faster than H100?

B200 delivers 4500 TFLOPS FP16 versus H100's 1979 TFLOPS, over 2x faster for training. FP8 reaches 9000 TFLOPS on B200 against 3958 TFLOPS. Bandwidth of 8000 GB/s on B200 doubles H100's 3350 GB/s.

What is the power consumption difference?

B200 has 1000W TDP compared to H100's 700W. B200 requires advanced cooling solutions. H100 fits standard data centers more easily.

Which supports larger batch sizes?

B200's 192 GB VRAM and 8000 GB/s bandwidth allow batches 2x larger than H100's 80 GB and 3350 GB/s. This reduces training iterations. H100 works for moderate scales.

What interconnects do they use?

Both support NVLink, PCIe, and InfiniBand, but B200 adds PCIe 6.0 over H100's PCIe 5.0. Form factors include SXM and NVL for both. This ensures cluster compatibility.

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 H100 delivers 0.4x the FP16 throughput and 0.4x the memory bandwidth of the B200.

B200 vs H100: 192GB vs 80GB, 2.4x Bandwidth | GPUPerHour