Axlmed
Deploying LLM Workloads with Marketplace PluginsAxlmed is a healthcare AI platform specialising in medical language models and clinical LLMs. Their team needed to deploy and scale LLM inference infrastructure securely without requiring deep DevOps expertise across the organisation.
Challenges
Axlmed faced significant infrastructure friction that was slowing healthcare AI experimentation and keeping deployment access limited to engineers with specialist knowledge.
GPU orchestration and model deployment required complex infrastructure setup.
Non-technical team members and clinical researchers could not self-serve deployments, creating bottlenecks.
Long deployment times slowed the pace of AI experimentation and iteration.
Solution
Axlmed adopted Nife's LLM deployment platform with one-click model deployment, pre-configured GPU orchestration, and self-serve Marketplace plugins.
Pre-Configured GPU Orchestration: Optimised infrastructure for efficient LLM inference without manual setup.
Self-Serve AI Model Deployment: Non-technical teams could deploy models without infrastructure expertise.
Automated Scaling: Dynamic resource allocation handled varying inference workloads seamlessly.
Results
< 5 Mins
Clinical LLM deployment time
Deploying healthcare AI models reduced from days of manual setup to under 5 minutes.0
DevOps hires required
Clinical research and non-technical team members deployed models independently.10x
Inference auto-scaling capacity
Clinical LLM inference workloads scaled automatically with patient query surges.Deploy LLM models effortlessly with Nife. 🚀
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