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Opnbook

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The Execution Fabric for Modern Compute

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Company
TAHO by Opnbook

About Opnbook

TAHO by Opnbook is next-generation infrastructure software for AI, Cloud, and High-Performance Computing (HPC). It doubles throughput without extra hardware, containers, or complexity by introducing an execution layer to run alongside your existing stack. TAHO optimizes resource use, cuts costs, conserves energy, and protects the planet by reducing infrastructure waste. It achieves operational readiness in milliseconds and distributes workloads intelligently across environments to reduce GPU waste and eliminate bottlenecks. TAHO is built to run when others fail, with resilient, secure, and deeply observable features.

How to Use

Deploy TAHO instantly, optimize autonomously, and scale seamlessly. Run your code, and it scales from there. No containers, no scripts, no setup required.

TAHO by Opnbook's

Key Features

  • Doubles compute performance without extra hardware
  • Automated deployment and optimization
  • High-efficiency distributed processing
  • Trusted, autonomous, hybrid operations
  • Real-time performance visibility

Use Cases

  • Running AI, Cloud, and HPC workloads faster and more efficiently
  • Optimizing resource use and reducing infrastructure costs
  • Scaling compute resources across hybrid environments
  • Improving throughput and reducing waste in high-performance computing

Key Features

Doubles compute performance without extra hardware
Automated deployment and optimization
High-efficiency distributed processing
Trusted, autonomous, hybrid operations
Real-time performance visibility

Pros & Cons

Pros
  • Up to 10x faster execution and up to 90% cost reduction without additional hardware
  • Works with existing orchestration and code, no rewrites needed
  • Supports any hardware (NVIDIA, AMD, Intel, ASICs) and any environment (cloud, on-prem, edge)
  • Directly addresses the widespread GPU utilization problem (typically ~5%)
  • Deployment on major cloud marketplaces simplifies adoption
Cons
  • Still in early stages with some cloud marketplaces listed as 'Coming soon'
  • Requires adoption of a new execution fabric paradigm which may need initial integration effort
  • Limited information available on pricing and support models

Best For

Running AI, Cloud, and HPC workloads faster and more efficientlyOptimizing resource use and reducing infrastructure costsScaling compute resources across hybrid environmentsImproving throughput and reducing waste in high-performance computing

Alternatives to Opnbook

FAQ

What is the execution gap?
The execution gap is the difference between peak compute capacity and realized compute utilization. Despite chip improvements, GPUs in production clusters average only about 5% utilization, with even best-case runs like Meta's Llama 3 training reaching only 38–43%.
How does TAHO improve utilization?
TAHO changes the unit of execution: instead of placing a whole workload on a machine (where most of it sits idle), it decomposes the workload into small jobs and routes each to the resource that fits, achieving up to 90% utilization.
Does TAHO require changes to my existing code or infrastructure?
No. TAHO sits beneath your orchestration and serving layers (Kubernetes, SLURM, vLLM, etc.) and does not require any rip-and-replace. Everything above it keeps working, only faster.
Where does TAHO fit in the technology stack?
TAHO lives at the base of the infrastructure layer, directly above silicon (NVIDIA, AMD, Intel, ASICs) and underneath orchestration and serving frameworks.
Is TAHO available on cloud marketplaces?
Yes, TAHO is available on AWS and Microsoft Azure, with Google Cloud coming soon.