Flagship · NVIDIA Blackwell

NVIDIA Blackwell B200

New Blackwell architecture with 20 PFLOPS FP4 and 192GB HBM3e, purpose-built for trillion-parameter training and high-throughput inference.

Core strengths

Why B200

Several times the AI density of the previous generation at similar power.

🚀

Extreme compute

20 PFLOPS FP4 accelerates pretraining and fine-tuning.

🧠

Large memory

192GB HBM3e fits larger batches and longer context.

🔗

Fast interconnect

NVLink 1.8TB/s keeps multi-GPU overhead low.

❄️

Liquid-cooled

Native liquid cooling for stable sustained loads.

Specs

B200 key specs

Production-grade LLM workloads.

Flagship

Compute

FP4 / FP8
FP420 PFLOPS
FP810 PFLOPS
VRAM192GB HBM3e
Train and infer.
Interconnect

Network

NVLink / InfiniBand
NVLink1.8TB/s
Node400Gb IB
Coolingliquid
Scalable clusters.
Workload

Use cases

Train / Infer
Traintrillion-param
Inferhigh-throughput
FTfull/PEFT
Full LLM lifecycle.
Typical use

Is B200 right for you

Trillion-param pretraining

Needs large memory and high interconnect bandwidth.

High-throughput inference

Stable compute for consumer-scale concurrency.

Multimodal training

High VRAM and compute for joint text/image/audio.

Start your next training on B200

We provide B200 from single node to thousand-GPU clusters.

FAQ

FAQ

How much faster than H100?

Blackwell lifts FP4/FP8 compute and memory bandwidth substantially for larger models and higher throughput.

Do you support thousand-GPU clusters?

Yes, via InfiniBand and NVLink for scalable training.

How is billing done?

Pay-as-you-go and monthly/annual reservation.

Can it mix with domestic chips?

Yes, GigaX offers heterogeneous scheduling per task.

Accelerate your LLM training on B200

Tell us model size and goals for a cluster plan and quote.