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Crusoe
crusoe.ai > resources > blog > self-serve-deployments-dedicated-inference

Self-Serve Deployments: dedicated inference, no infra lift

3+ hour, 54+ min ago   (448+ words) Self-Serve Deployments give you reserved inference capacity with additional controls to help you build for scale. You get the benefit of a dedicated deployment to serve your inference workload without the toil of standing up and tuning an inference stack…...

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Crusoe
crusoe.ai > resources > blog > crusoe-introduces-serverless-fine-tuning

Tune it. Deploy it. Own it: Crusoe's next step in becoming the best cloud for open models

4+ hour, 18+ min ago   (455+ words) Crusoe Serverless Fine-Tuning is now GA in Crusoe Intelligence Foundry. Fine-tune Qwen, DeepSeek, Llama, Gemma, and more with your data. Deploy to production in one click. Crusoe has been building toward this moment deliberately: a curated library of open models…...

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Crusoe
crusoe.ai > resources > blog > nvidia-nemotron-3-ultra-langchain-deep-agents-on-crusoe-managed-inference

Frontier Agents at 10x lower cost: NVIDIA Nemotron 3 Ultra + LangChain Deep Agents on Crusoe Managed Inference

6+ day, 4+ hour ago   (602+ words) Nemotron 3 Ultra pairs with a tuned LangChain Deep Agents harness to match frontier closed-model agent accuracy at roughly a tenth of the cost, and Crusoe Managed Inference plus a native langchain-crusoe integration make it a ten-minute setup. NVIDIA's new open…...

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Crusoe
crusoe.ai > resources > blog > debugging-a-gpu-fleet-shouldnt-feel-like-detective-work

Debugging a GPU fleet shouldn't feel like detective work

2+ week, 3+ day ago   (1031+ words) Crusoe Command Center is on by default across Crusoe Cloud resources. No stack to deploy, no agents to wire up. Here's how teams use it to debug GPU fleets faster, from in-console dashboards to Grafana to MCP-powered agents. Debugging a…...

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Crusoe
crusoe.ai > cloud > solutions > data-preparation

Data Preparation for AI at Scale | Crusoe Cloud

1+ mon, 2+ week ago   (256+ words) Try Crusoe Serverless Fine-Tuning in private preview. Don’t let your data hold back your ambition. Crusoe Cloud’s high-throughput, cost-effective system eliminates bottlenecks and hidden fees. Crusoe Cloud is purpose built to meet the massive demands of AI. Featuring a cost-efficient…...

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Crusoe
crusoe.ai > cloud > solutions > model-inference

Serverless AI Model Inference | Crusoe Cloud

1+ mon, 2+ week ago   (210+ words) Try Crusoe Serverless Fine-Tuning in private preview. Scale your most ambitious models without the infrastructure overhead. Crusoe Managed Inference gives you ultra-low latency and high-throughput performance in a few clicks, so you can focus on innovation, not operations. Go ZeroOps…...

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Crusoe
crusoe.ai > resources > blog > serving-llms-on-crusoe-with-kserve

Serving LLMs on Crusoe with KServe: From zero to 6,000 tokens/second

2+ mon, 1+ week ago   (728+ words) KServe collapses the complexity of multi-GPU LLM deployment into a single declarative CRD. This post walks through deploying Qwen2.5-72B on Crusoe Managed Kubernetes, with benchmark results across four load profiles. This blog explains the process of deploying Qwen2.5-72B on Crusoe Managed Kubernetes…...

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Crusoe
crusoe.ai > resources > blog > nvidia-nemotron-3-nano-omni-now-available

NVIDIA Nemotron 3 Nano Omni is Now Available on Crusoe Managed Inference

2+ mon, 2+ week ago   (744+ words) NVIDIA Nemotron 3 Nano Omni and the full Nemotron 3 model family are now available on Crusoe Managed Inference. Here's a breakdown of what each model is built for and how to get started in Crusoe Intelligence Foundry. NVIDIA Nemotron open models…...

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Crusoe
crusoe.ai > resources > blog > reducing-ttft-by-cpumaxxing-tokenization

Reducing TTFT by CPUMaxxing Tokenization

3+ mon, 4+ week ago   (583+ words) Tokenization is a silent bottleneck in agentic LLM inference. Crusoe and NVIDIA Dynamo built fastokens, an open-source Rust BPE tokenizer that delivers 9.1× average speedup over HuggingFace and up to 40% faster TTFT on long-context workloads. Tokenization mainly contains 5 steps: Many optimizations…...

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