Data Centre Technology Partners

Trusted AI on Every Processor.

CPU-Powered AI

Run on commercial CPUs, no costly GPU overhaul.

No New Racks

Use what you already own.

Predictable Costs

Scale workloads, not expenses.

Optimised for enterprise-grade Agentic AI apps, RAG workflows and the next generation of on-device copilots.

Efficient at Scale

Kompact AI is built for performance at scale—handling large context sizes, reducing KV-cache inefficiencies, and keeping generation latency consistently low.
Multiple CPU-level deployment patterns available

Single Model-on All Cores

A single model runs across all cores on a CPU.
Maximizes raw throughput for high-demand use cases and ensures predictable performance. for maximum throughput and predictable performance.

One CPU, Single Tenant, Multiple Models

Multiple models can run on the same CPU by assigning specific core groups to each model.
Each model receives dedicated cores for inference and I/O processing, ensuring isolation, parallelism, and efficient resource utilization.

One CPU, Multiple Tenants, Multiple Models

Different applications, business units, or tenants can run their own models on dedicated cores within the same CPU.
Each core group independently handles the queries, I/O, and workloads for its assigned model and tenant—ensuring clean separation, consistent performance, and predictable cost allocation.

600+ Pre-Built,
Dockerized AI Models

across text, speech, and multimodal ready to deploy.

VIEW ALL MODELS

OpenAI-compatible APIs for easy migration without code changes

Instant Operational Setup

Plug-and-play billing support.

Built-in metrics, authentication, and authorisation.

Preconfigured logging and monitoring options.

Ready-to-Use Templates for
Popular AI Use Cases

Code generation
NLP-to-SQL
Chatbots and assistants
Document Q&A & sumarisation

High Throughput

Kompact AI delivers up to 3× higher CPU throughput than contemporary inference frameworks.
No quantisation or distillation—full-precision models run faster without sacrificing quality.
Higher throughput translates directly into lower latency, higher concurrency, and support enterprise-grade, production-level AI workloads.
Kompact AI
Other CPU
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Relative Throughput Comparison for CPUs

Frequently Asked Questions

Which CPUs are supported by Kompact AI?

Kompact AI runs efficiently on all major commercial CPUs, including Intel Xeon, AMD and ARM-based processors.

Do we need to modify our existing infrastructure to support Kompact AI?

Existing CPU racks can be used—no new hardware or GPUs are needed.

  • The runtime to execute the Models.
  • Remote REST‑based server for serving model inferences remotely.
  • Observability to track model and system performance.
  • Client-Side SDKs in Go, Python, Java, .NET, and JavaScript, which are OpenAI Compatible for writing downstream applications that use the Kompact AI models.
What kind of AI workloads are optimized for Kompact AI?

Kompact AI is optimized for a wide range of enterprise AI workloads—including Agentic AI systems, RAG workflows,  enterprise copilots, and custom LLM applications. It  delivers low-latency, high-throughput performance across diverse enterprise use cases.

Does Kompact AI support OpenAI-compatible APIs?

Yes. Kompact AI provides OpenAI-compatible APIs, making integration seamless with existing applications and frameworks.

How can  data centers collaborate with Ziroh Labs?

Data centers can collaborate with Ziroh Labs by licensing the Kompact AI runtime for their CPU infrastructure enabling optimized, high-throughput AI deployments on CPUs. To discuss collaboration opportunities, please write to us at contact@ziroh.com.

How does Kompact AI run efficiently on existing CPUs without GPUs?

It uses a CPU-optimised inference runtime that delivers GPU-equivalent throughput by algorithmically optimising the way LLMs run on CPUs. Please write to us at contact@ziroh.com to know more. 

How does Kompact AI manage large context sizes and KV-cache efficiency?

It reduces KV-cache overhead with optimised memory layouts and streaming techniques, enabling stable performance even with long context windows.

What deployment patterns are supported on a single CPU?

Kompact AI supports one model across all cores, Multiple models on isolated core groups, and Multi-tenant, multi-model deployments.

Can we run multiple models on one CPU with isolated cores?

Yes. Each model can be assigned dedicated core groups for clean isolation and predictable performance.

How many pre-built models are available for deployment?

Over 600+ Dockerised text, speech, and multimodal models. Please find the full list of models at https://www.ziroh.com/model-listing

What operational tools come pre-integrated out of the box?

Billing, metrics, logging, authentication, and monitoring are built in.

Can we publish papers or research based on experiments done with Kompact AI?

Yes. You can publish papers and journal articles for your AI applications that are built using Kompact AI. For citation, please use the following BibTeX entry.

How does Kompact AI handle authentication, billing, and monitoring?

It includes preconfigured modules for user authentication, usage-based billing, request metrics, and logs.

What AI use-case templates are available for quick adoption?

We offer a wide range of ready-to-use AI use-case templates designed for quick adoption. These cover practical needs such as code generation, NLP-to-SQL, chatbots, intelligent assistants, document Q&A, summarisation, and several others that help teams accelerate development without starting from scratch.