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NVIDIA Blackwell · Q2 2026

# Accelerated computing
for the age of AI.

From training the world's largest models to inference at the edge — the same architecture, the same software stack, from data center to laptop.

Try DGX Cloud → Watch GTC keynote
Available now

### DGX B200 · Blackwell

SKU NV-DGX-B200-8GPU
STATUS
● ONLINE
8× B200 · NVLink mesh
FP4 Compute 144PFLOPS
HBM3e 1.4TB
NVLink BW 14.4TB/s
Configure Datasheet (PDF)
● 14 deployments | Shipping Q2 2026 | Available in 18 regions
Why NVIDIA

## The platform behind every modern AI breakthrough.

From training the largest open-weight models on DGX SuperPOD to running on RTX on a developer's laptop — one software stack, end to end.

4×
Faster training vs prior generation
25×
Lower energy per token at inference
18
Cloud regions running DGX Cloud
3.4M
Developers building on CUDA
Capabilities

## Explore our AI solutions.

### Agentic AI

NVIDIA NIM microservices and NeMo blueprints to build, fine-tune, and deploy agents in production.

Learn more →

### Data Science

RAPIDS, cuDF, and cuML — GPU-accelerated dataframes and ML at the speed of memory, not disk.

Learn more →

### Inference

NVIDIA Triton + TensorRT-LLM serve open models at production latency on B200, H200, and L40S.

Learn more →

### Conversational AI

Riva and Maxine — speech, translation, and real-time avatars deployed at telco-grade latency.

Learn more →
Latest in AI resources

## Research, papers, and whitepapers.

White paper

#### Scaling FP4 training to 100K-GPU clusters.

How NVLink-72 and Blackwell's transformer engine compound to deliver 4× the throughput at the same wall-clock budget.

Read more →
Webinar

#### NIM microservices in production.

Three customer case studies on serving open-weight Llama 4 and Mixtral with TensorRT-LLM at sub-200ms p95.

Watch on demand →
Blog

#### Cosmos world models for robotics.

Generating photoreal sim-to-real training data with diffusion-based world models on RTX A6000.

Read article →

### Ready to accelerate your AI?

Provision a B200 in DGX Cloud in minutes — no procurement cycle, no commit. Pay-per-minute pricing on the same hardware that runs the world's largest models.

Start DGX Cloud trial →
DGX Cloud pricing

## Per-minute pricing on every GPU.

### L40S

$1.42 / GPU·hr

For inference workloads and fine-tuning up to 70B parameters.

- 48 GB GDDR6
- FP8 inference
- On-demand · spot
- Community support

Start free trial →

### H200

$4.80 / GPU·hr

For mid-sized training runs and production inference of frontier models.

- 141 GB HBM3e
- NVLink 8-way
- Reserved capacity
- 24×7 priority support

Provision H200 →

### B200

$8.40 / GPU·hr

For training the largest open-weight models and exascale inference.

- 192 GB HBM3e
- NVLink-72 fabric
- FP4 transformer engine
- Dedicated solutions architect

Talk to sales →
Design system

## Tokens, by NVIDIA.

Two-mode surface architecture, a single saturated green accent, 2px radius everywhere, and a corner-square that ships with every reusable card.

→ Read the full DESIGN.md

### Color

grouped & named

#### Brand & accent

primary (NVIDIA Green)#76b900
primary-dark#5a8d00
accent-green-pale#bff230

#### Surface

canvas#ffffff
surface-soft#f7f7f7
surface-dark#000000
surface-elevated#1a1a1a
hairline#cccccc
hairline-strong#5e5e5e

#### Text

ink#000000
body#1a1a1a
mute#757575
ash#a7a7a7

#### Semantic & editorial

link-blue (inline)#0046a4
error#e52020
warning#df6500
accent-purple#952fc6
accent-yellow-pale#feeeb2

### Typography

NVIDIA-EMEA · weights 400 / 700
display-xl 48 / 700 / 0 1.25 Accelerated computing.
display-lg 36 / 700 / 0 1.25 Explore our AI solutions.
heading-xl 24 / 700 / 0 1.25 Sub-section title.
heading-md 20 / 700 / 0 1.25 Card group title.
card-title 17 / 700 / 0 1.47 Resource card title.
body-md 16 / 400 / 0 1.5 Default body — hierarchy comes from weight, not color.
caption-md 14 / 700 / 0 1.43 BREADCRUMB · EYEBROW · BADGE

### Radius

Aggressively angular — 2px everywhere
none 0px · hero/footer
xs 1px · accent
sm 2px · default
full circle · avatar

### Components

Buttons · tabs · inputs · cards

##### Buttons

Primary Outline
Primary On dark
Ghost link →

##### Pill tabs & badges

White paper Tip Preview

##### Text input

Focus: 2px green border replaces hairline.

##### Inline link

Train on NVIDIA DGX Cloud with reserved or on-demand capacity — the only blue in the system lives on inline body links like this one.

##### Feature card · Resource card

### Feature card.

32px padding, hairline border, green corner square anchored top-left.

Learn more →

### Callout stat.

Display-lg numeric in NVIDIA Green, body caption underneath.

Learn more →
Webinar

#### Resource card.

16:9 thumbnail at the top, body-sm description, ghost-link "Read more" — exactly the same chrome as the marketing cards above.

Watch now →
View DESIGN.md ↗