We had a great time at the HumanX conference this week. During the conference, we announced a strategic partnership with Highrise AI.  

This partnership is about addressing one of the most pressing challenges in artificial intelligence: executing AI workloads reliably and cost-effectively at scale. As enterprises move from model training to actually deploying AI applications, the way they manage inference, optimize and run it, is becoming crucial to their chances of success. 

You can actually break this into three separate parts that enterprises need:

  • High-throughput inference
  • A high-availability compute layer 
  • Access to gigawatt-scale energy supply

In short, it’s about a vertically integrated solution that was built for enterprise deployments, and this is what this announcement is about. 

Why is this important? Because as AI models are being operationalized in production environments, they need control over performance, costs and security. 

Enterprises are no longer limited by model capability; they’re limited by execution. By pairing our inference stack with Highrise AI’s infrastructure, we’re enabling organizations to run AI at the scale and efficiency that real-world applications demand.

Making enterprise AI happen

The match between Highrise AI and Impala addresses the AI deployment last mile that enterprises need. 

Highrise AI addresses infrastructure constraints by providing scalable access to infrastructure and compute resources at significantly lower cost.

Impala’s technology is about high-throughput inference, made to work for how enterprises uses AI at scale. Instead of focusing on low latency chat interaction, Impala’s dynamic inference engine is engineered to optimize throughput, maximizing tokens per second, and utilization per machine. This, of course, reduces cost by 13X.

The joint result is enterprise AI that is optimized for volume, economics, and operational reliability.

As Vince Fong, CEO at Highrise AI, said: We're at an inflection point where the enterprises that win will be the ones that can run AI reliably and affordably at scale. That's what this partnership will deliver: not just better infrastructure, but a fundamentally better economic model for AI in production.

Better unit economics

The core focus of the partnership is to provide significantly reduced inference costs, so that enterprises can scale inference workloads without losing control over their spend. The way we do this is by Impala maximizing inference throughput at the machine level, while Highrise AI provides access to compute purpose-built for cost efficiency. 

This also means that the joint platform is able to provide sustained, high-performance operations. Impala delivers consistent throughput per node, while Highrise AI’s infrastructure supports large-scale compute pools powered by abundant energy resources, enabling enterprises to run demanding AI workloads without the bottlenecks that constrain traditional deployments.

Secure and compliant by design

Many enterprises take security seriously, especially in regulated industries, such as healthcare and financial services. Both Highrise AI and Impala support this. 

Impala operates in single-tenant environments within customer infrastructure, meaning workloads run in the enterprise’s VPC, while Highrise AI provides confidential compute capabilities that safeguard sensitive data throughout the inference pipeline.

For example, enterprises can use the combination for 

  • In the healthcare industry: large-scale medical document processing, clinical summarization pipelines, and multimodal analysis that integrates imaging and text. These capabilities allow providers to process vast volumes of patient data securely and efficiently.
  • In banking and financial services: financial document analysis, risk and compliance workflows, and transaction-level intelligence pipelines. With high-throughput processing and strict data isolation, institutions can deploy AI systems that are designed to support organizations operating in regulated environments while maintaining predictable cost structures.

Ready for where Ai goes next

Impala and Highrise AI’s partnership reflects a broader shift in the industry, from focusing solely on model development to enabling real-world execution at scale.

By delivering a unified platform that combines performance, cost efficiency, and security, the companies aim to empower organizations to unlock the full potential of AI in production environments.

AI is entering a new phase that is defined by scale, reliability, and operational impact. Together with Highrise AI, we’re building the infrastructure foundation that makes that future possible.

‍