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Overview
NeuReality is an Israeli company founded in 2019 that designs AI inference infrastructure. Its server-on-chip architecture removes CPU bottlenecks in AI deployments. The company targets data centre operators running large inference workloads.
News
Introducing The Hidden Supply Podcast
The Hidden Supply Podcast explores the constraints shaping AI infrastructure: compute, energy, capital, data centers, and the production systems needed to make AI work in production. In our first episode, Why AI Factories Are Bleeding Money, NeuReality CE
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Report
AI Coding Agents Are Exposing the Missing Operating Layer in Production AI
For the last two years, enterprise AI adoption was mostly measured in activity: seats provisioned, pilots launched, demos approved, and usage growing. That was enough while AI was treated as experimentation. It is no longer enough when AI becomes infrastr
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Report
Why Standard NICs Fail AI Inference - And What an AI NIC Does Differently
The inference serving problem is not what most people think it is. It was always assumed that AI training required special, very high-performance, large-scale distributed compute, with HPC infrastructure characteristics, while AI inference was the easy pa
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Report
Behind the LLM Math: The Serving Equations That Actually Matter
A lot of LLM serving work looks like this: You lower max_model_len and suddenly concurrency improves more than expected.You raise batch size and throughput goes up, but p95 latency gets worse.You move to a faster GPU and decode barely improves.You turn on
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Report
The Rise of the AI Token Factory - And Why Inference Infrastructure Must Change
When Jensen Huang addressed 30,000 attendees at NVIDIA GTC and declared that the data center of the future is a "token factory," the message was clear: AI infrastructure is being redefined. For years, AI infra was measured by raw compute capacity: GPUs, F
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Report
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Offices
Where the company hires and what each office is for
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Haifa
Israel
HQ