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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 later 2024

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

H100
A100
L40S

H100

Large-scale HPC and AI workloads

Designed to maximize AI throughput, it provides organizations with a highly refined, systemized, and scalable platform to achieve breakthroughs in natural language processing, recommender systems, data analytics, and much more.

GPU
H100 x 8 80GB SXM
LINK
NVSwitch 900Gbps
Network
ConnectX-7 NDR BlueField-3 DPU
CPU
Intel Xeon Platinum 8462Y+ 128 vCPU
Memory
2048GB DDR5 4800MT/s RDIMMs
Storage
30TB NVMe

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.

Enquire now

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 30,00 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.