TAHO is a high-performance compute framework that delivers 2× more workload efficiency, meaning you get double the output from the same hardware. It replaces bloated infrastructure software and complex runtimes with a faster, cheaper, and easier to deploy across edge, cloud, and GPU environments.

TAHO isn’t another orchestrator. It’s a high-efficiency compute layer purpose-built for HPC, AI/ML, and always-on workloads. No cold starts, no YAML forests, and no orchestration sprawl. Just faster execution, simpler scaling, and less overhead.

Yes. TAHO runs on top of your existing infrastructure. No rewrites needed. It supports containers, Kubernetes, CI/CD, and works with modern dev tools out of the box.

Yes. TAHO is secure by design. It uses sandboxed execution via WebAssembly, runtime isolation, and a zero-trust architecture to minimize attack surfaces. It supports DDS for secure, real-time communication and integrates libp2p for encrypted, peer-to-peer networking in federated environments. All data in transit is encrypted by default, ensuring secure operations across edge, cloud, and hybrid systems.

TAHO is best for high-throughput, always-on compute. It’s used in AI training and inference across multi-threaded workloads, LLMs, and simulation pipelines. It’s also ideal for infra leaders driving scale, speed, and performance. In plain speak, TAHO delivers significant cost savings by reducing compute waste and maximizing hardware utilization.

If your team is focused purely on frontend development, APIs, or lightweight web apps without sustained compute demand, TAHO likely isn’t necessary. It’s designed for serious throughput, not casual traffic.

Teams using TAHO see 2× compute efficiency, lower cloud bills, and faster inference. It’s especially powerful on large, distributed, or always-on workloads like AI/ML, simulation, and data pipelines.

No. TAHO plays nice with existing software and can run on the same machines as your existing clusters and containers without disturbing their existing workflows. This allows you to deploy across your infrastructure at your own pace.