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 ![Saturn Cloud](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_03427dcbad4366f509528198014c8568/saturn-cloud-saturn-cloud.png "Saturn Cloud")
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# Saturn Cloud Discussions

Saturn Cloud is the enterprise inference platform for open models and agents. Teams choose from a large catalog of open models and open-source agents, or bring their own, and Saturn Cloud runs them in production on dedicated GPUs, tuned for each team's traffic and backed by a performance SLA. Top-tier performance on the NVIDIA stack: Saturn Cloud runs on NVIDIA Dynamo, with no proprietary engine to lock customers in, and profiles every workload before tuning the deployment. On Kimi K3, Saturn Cloud matched the SemiAnalysis InferenceX benchmark on the same NVIDIA GB300 GPUs. On GLM-5.3, profiling more than doubled throughput at 16 live agent sessions. Once a workload is profiled and benchmarked, Saturn Cloud commits to the agreed throughput and latency, not just availability. Enterprise-ready: Enterprise security is Saturn Cloud's legacy. Its platform has run inside enterprises' own cloud accounts for years, and it deploys where security teams need it. Endpoints run on dedicated GPUs from Saturn Cloud's neocloud partners or inside the customer's own network, including air-gapped installs, private subnets behind a VPN, and environments with egress blocked. Saturn Cloud has completed a SOC 2 audit covering security, availability, and confidentiality, supports single sign-on through Okta, Microsoft Entra ID, and Google Workspace, and integrates with security tools such as Netskope and CrowdStrike. Breadth across models, agents, and tasks: The catalog covers the major open model families, including Kimi, GLM, DeepSeek, Qwen, Llama, Gemma, Mistral, MiniMax, Nemotron, and gpt-oss. Saturn Cloud also sets up open-source agents for coding, research, documents, data, and browser work, curated for each customer. Teams can fine-tune supported models on their own data and serve the results, including LoRA adapters, from the same dedicated endpoint. Deployments shaped around each workload: Each dedicated endpoint has its own GPUs, worker layout, and scaling limits, so other customers' traffic doesn't compete with it. Teams can run prefill and decode together or in separate pools, set minimum workers and a scaling limit, and tune for latency, throughput, or a balance of the two. For GPU cloud operators: GPU cloud operators use Saturn Cloud's token factory platform to turn their own GPU fleets into inference services. Saturn Cloud is headquartered in New York. Learn more at saturncloud.io.

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