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Three promises for infrastructure that evolves with AI.

Our production data center gives us the foundation to test, improve, and validate a new approach to AI inference in the real world.

“Every milestone brings us closer to compute that evolves with AI.”

More tokens per dollar

The first promise is stronger inference economics without compromising model quality. We co-design the stack to direct compute toward the work that matters for each model.

Higher interactivity

The second is a level of interactivity that conventional GPU infrastructure cannot economically reach. Lower latency and more efficient execution open the door to more responsive AI experiences.

Hardware that keeps adapting

The third is hardware that can be co-optimized for a new model within days of its release. Our production environment lets us test those changes under real operating conditions and continuously improve the system.

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Stories from the edge of AI.

Meet the people and ideas shaping a more efficient generation of compute.

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An ElastixAI title card reading “From Telephones to Transformers: A Brief History of Quantization”.

From Telephones to Transformers: A Brief History of Quantization

Model quality used to be AI’s limiting factor. Now, it’s model economics. Where cost per token, watts per rack, and tokens per second dominate the conversation, no topic is more pertinent than model optimizations. And, in that conversation, few optimizations are as well-known, and as misunderstood, as quantization.

A green mountain diagram of the ElastixAI opportunity zone above the economic feasibility line.

The AI Data Center Economy Runs on Tokens per Second per Watt

In early 2026, Microsoft disclosed an $80 billion unfulfilled Azure order backlog due to insufficient electricity to power the deployments. CEO Satya Nadella confirmed on the record that their GPUs are sitting idle in inventory, waiting for installations that can’t proceed until the grid can deliver the load.

A green pyramid chart showing 100X more tokens above a GPU-based cost barrier.

What Becomes Possible With 100x More Tokens?

What if we could generate 100x more tokens for the same budget? What new possibilities and world-changing applications would open up if the cost of AI stopped being the deciding factor?

An iceberg with a small tip above the waterline and a vast mass below it.

The Inference Economy: LLM Inference Is Everywhere, Not Just in Your Chatbot

When most people think of Large Language Models (LLMs), they think of chatbots. However, this perspective drastically understates the true scope and technical necessity of the inference market. Inference is much more than typing a prompt and receiving a response. In reality, it’s become a basic compute primitive that powers the entire AI lifecycle.

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Research, product updates, and a closer look at efficient AI inference.

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