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Outerport

S24Pivot 1 of 2
2 people|Active|Hiring|Website
98°Major Pivot
Before

VMware for GPUs

After

Chain-of-memory reasoning for document understanding

Full description — before

Outerport lets companies use their GPUs more efficiently by making it easy for them to be swapped from task to task. Just like how VMWare made it easy to put multiple users on a single server machine, we make it easy to put multiple AI models on a single GPU. Rather than having separate sets of GPUs for each task, you can buy less GPUs and make better use of it. Hot swap foundation model weights instantly, minimize cold starts, scale horizontally, maintain version control, secure your models on a central registry, perform A/B tests, and save 40% on GPU costs.

Full description — after

Outerport helps AI read documents the way humans do - building up understanding section by section and checking facts along the way, instead of just matching similar phrases. For example, when a team needs to confirm a specific requirement in a 200-page compliance policy document, Outerport pinpoints the right section, provides the reasoning, and presents a fact-based summary. Outerport is built for performance- run thousands of queries against your critical documents, with reasoning behind every retrieval. No more faulty vector RAG.

Category shift
AI Compute InfrastructureLLM Development Tools
Summary

The company moved from enabling efficient GPU sharing (a virtualization/hardware resource management product) to providing document understanding and reasoning (an AI knowledge extraction tool). This is a completely different product, market, and problem space.

Detected 1 year ago · 2025-01-16
Company journey — 2 pivots

Chain-of-memory reasoning for document understanding(viewing)

97.9°Major Pivot2025-01-16
Started as

VMware for GPUs