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.
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.
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.
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.
With our partner ST Telemedia Global Data Centres, we're growing into a footprint of global Availability Zones (AZs) for secure local access to sustainable AI computing.
Local AZs from our Tier III data centers connect into a global fabric of points of presence that allow for easy cross connect into global CSPs, private data caches and IP transit
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.
NVIDIA CSP Partner
