Compute fit
After scale.
Modern workloads changed shape faster than the systems built to execute them. Recognizing this shift, Todd co-founded TAHO Labs to improve how work is decomposed, routed, and executed across available compute.
The constraint has moved from capacity to execution.
Execution efficiency
More hardware does not automatically mean more throughput.
Modern environments mix CPUs, GPUs, accelerators, cloud, on-prem, and edge capacity. The value comes from making that capacity usable.Infrastructure layer
The critical layer sits beneath orchestration and above hardware.
TAHO is not a replacement for Kubernetes, SLURM, Ray, vLLM, or existing infrastructure. It focuses on how executable work reaches the resource best able to run it.The old answer was more compute. The new answer is compute fit.
For decades, scale solved the most important computing problems. That answer still matters. It is no longer complete.
- Workloads are larger, more dynamic, and more distributed than the systems originally built to run them.
- Infrastructure teams compensate with more orchestration, placement logic, management layers, and manual coordination.
- Utilization, cost, latency, and operational complexity increasingly become different symptoms of the same mismatch.
- AI infrastructure makes the mismatch harder to ignore because high-value work now spans many resource types and execution environments.
TAHO Labs
The experiment is to change the unit of execution.
TAHO is infrastructure software designed to improve execution efficiency by decomposing workloads into smaller units and routing them to the resources best able to execute them.
Background
Todd Smith is Co-Founder and CEO of TAHO Labs. He has worked across global infrastructure, company scaling, acquisition integration, and revenue operations. A recurring pattern in that work: as systems grow, the constraint shifts from adding capacity to using the capacity already in place. That's what TAHO Labs is built to address.
Snap
Operated through rapid growth, infrastructure expansion, and acquisition integration including Bitstrips.Docker
VP of Operations as ARR grew from roughly $60M to $175M in about 15 months, while scaling operational systems and revenue operations.TAHO Labs
Co-founded TAHO Labs to test whether decomposing, routing, and executing work differently can improve execution efficiency across modern compute.If the work doesn't fit, the winning layer changes.
- Capacity remains necessary, but the advantage shifts toward systems that make capacity usable.
- As workloads span CPUs, GPUs, accelerators, cloud, on-prem, and edge, the layer beneath orchestration becomes more consequential.
- Buyers will evaluate execution efficiency, not only infrastructure spend.
- The teams that fit work to machines more effectively will get more output from the hardware they already have.
Yahoo Finance
Don't Trust Cloud Utilization, Says Todd Smith of TAHO Labs
Read articleCXO Dispatch
Todd Smith: Kubernetes Isn't Dying, but It's Breaking. Here's Why.
Read articleTechBullion
How Small Teams Are Redefining Scale: An Interview With Todd Smith, CEO of TAHO Labs
Read articleMSN
Leading Without an Office: Insights From Todd Smith, CEO of TAHO Labs
Read articleVideo appearances
YouTube
Harnessing High-Performance Computing: Todd Smith's Vision for TAHO Lab's Infrastructure Software
WatchYouTube
The TRUTH About AI's Real Value! Are Businesses Wasting $$$ on AI?
WatchYouTube
How AI is Changing Businesses (And What It Means for You)
WatchYouTube
From Woolly Mammoths to AI Mastery: Leadership, Innovation & the Future of Work
WatchContact