NVIDIA H200 now available
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NVIDIA GPU clusters,
with world's best energy efficiency.

more efficient, less cost.

Access dedicated scalable NVIDIA-designed GPU clusters built to train and inference AI models, with zero-compromise performance. Powered by advanced carbon-reducing technology and delivered with critical support 24/7, 365 days a year.


  • NVIDIA CSP Partner
  • 50%
    Less energy consumed
  • 80%
    more cost effective
  • 100%
    performance, benchmarked.

Power your AI journey

Choose a GPU service model suited to your project's complexity, complete with ongoing, comprehensive support.

Burst

  • Includes migration and workload support
  • Ideal for 3-6 month intensive training
  • Uninterrupted 24/7 critical support
  • >99.50% uptime SLA
  • Cost savings over standard rates

Reserved

  • Includes migration and workload support
  • Reserve clusters for 1, 3, or 5 years
  • Uninterrupted 24/7 critical support
  • >99.50% uptime SLA
  • Up to 80% cost savings

On Demand

Available late 2025

Access massive clusters of NVIDIA GPUs in local AZs. Purpose-built for building complex AI workloads, sustainably.

H200
H100
A100
L40S

H200

Accelerate GenAI and HPC workloads

Supercharges generative AI and high-performance computing (HPC) workloads with the world's leading AI computing platform. Based on NVIDIA's Hopper architecture, the H200 offers unmatched performance, throughput, and scale for every stage of your AI journey.

MEMORY
141GB of HBM3e GPU memory
Network
CONNECTX-7
Link
NVIDIA NVLink: 900GB/s
GPU
H200 x 8 141 GB SXM

Performance with efficiency: our MLPerf® Training V4.0 results

We believe transparency - of all AI's cost inputs - is the only way to move the industry towards genuine efficiency. We’re moving the industry forward by releasing the world’s first MLPerf® certified training power consumption benchmarks.

Learn more

Committed to open source

See the full end-to-end effect of hardware and software to deliver the best tokens per watt and best parameters to build and inference your AI models.

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Cut energy consumption per token for LLMs by up to 50%

  • Scalable GPU Resources

    Unmatched scalability with the ability to scale from a single GPU to clusters of up to 30,000 GPUs. You have the flexibility to adapt to changing workloads and project requirements. Scale your AI infrastructure seamlessly as your needs evolve.

  • Sustainable Infrastructure

    Our immersion-cooled hosting technology not only enhances performance but also reduces the carbon footprint of GPU clouds by up to 50%. Enjoy the benefits of cutting-edge technology while contributing to a greener planet.

  • Locally Hosted

    Security is paramount. GPU Metal Instances are hosted in secure data centres, ensuring the confidentiality and integrity of your data. Benefit from robust data protection measures and maintain control over your AI workloads.

RESULT

Developing their multimodal LLM on SMC’s H100-based AI cloud in Singapore resulted in significant CO2 emission savings – HyperGAI saves over 29t of CO2 per month by using SMC over legacy cloud operations in Singapore. This collaboration’s game-changing aspect perfectly aligns with HyperGAI’s commitment to the sustainability targets outlined in the Singapore Green Plan 2030.