AI Infrastructure: Cloud GPU Clusters for Business
Together AI has launched Instant Clusters, self-service GPU clusters for training and running models. They support NVIDIA H100 and B200 and are ready to use in minutes, without lengthy approvals. All components are included: GPU Operator, Network Operator and Cert Manager. The clusters integrate with Kubernetes, Slurm, Terraform and SkyPilot, which makes them well suited to distributed training and scaling.
AI-processed from Together AI Blog; edited by Hamidun News
Deploying AI in business requires cloud infrastructure. Together AI has launched Instant Clusters, self-service GPU clusters that deploy in minutes and are production-ready without lengthy approvals or manual setup.
How long does it take to deploy a cloud GPU cluster for AI?
Instant Clusters cloud GPU clusters deploy in a few minutes through a web console, a CLI or programmatically, without lengthy approvals or manual setup.
How can you scale cloud GPUs for AI projects?
Start with a compact configuration (8 GPUs on a single node) and scale up to hundreds of GPUs in a distributed network configuration without changing your application code.
Key Questions Answered
How long does it take to deploy a cloud GPU cluster for AI?
Instant Clusters cloud GPU clusters deploy in a few minutes through a web console, a CLI or programmatically, without lengthy approvals or manual setup.
How can you scale cloud GPUs for AI projects?
Start with a compact configuration (8 GPUs on a single node) and scale up to hundreds of GPUs in a distributed network configuration without changing your application code.
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