Blog

Insights & Updates

Deep dives on compute efficiency, AI infrastructure, and the future of decentralized execution.

The AI Hardware Ceiling is Vanishing!

Every AI team eventually hits the same wall — bigger GPUs, larger instances, higher cost. It's not a scaling problem. It's a systems design problem.

Michal Ashby

May 4, 2026 · 8 min read

▶ Video

How TAHO Cuts AI Compute Costs by Removing Orchestration Overhead

Watch the official TAHO explainer video to see how we eliminate orchestration overhead and unlock your full compute capacity.

Justin Gelinas

March 16, 2026 · Video

Where AI Compute Should Live: The Edge vs Cloud Decision for Production AI

Edge computing is a shift in where intelligence lives. When businesses design around the edge, they unlock better experiences, stronger compliance, and greater resilience.

Justin Gelinas

March 30, 2026 · 6 min read

What Comes After Kubernetes for AI Workloads

Turn any environment into a self-organizing compute fabric with instant startup, hot reload, no central control to make it faster, leaner, and more adaptive.

Todd Smith

March 2, 2026 · 3 min read

Is AI a Bubble? Why Infrastructure Engineering Matters Either Way

Amid fears of an AI bubble, concrete engineering wins advancing infrastructure will form the basis of a sustainable AI-driven economy in the U.S.

Dave Birnbaum

February 16, 2026 · 3 min read

Why AI Workloads Need Software That Adapts at Runtime

Traditional software breaks under the scale of modern HPC and AI, and must evolve into organism-like systems that adapt, heal, and reconfigure through feedback.

Justin Gelinas

February 2, 2026 · 2 min read

Why AI Workloads Need to Run Across Providers, Not Just Across Regions

AWS outages expose the fragility of single-region dependence and why an autonomous fabric across regions and providers keeps users moving.

Jason Schultz

January 19, 2026 · 2 min read

Why 85% of AI Pilots Never Reach Production (and How to Fix It)

85 percent of AI pilots never reach production. The issue is not the algorithms but gaps in data, hidden costs, and workflow and governance challenges.

Jason Schultz

January 5, 2026 · 2 min read

Why AI's Next Breakthrough Is Cheaper Intelligence, Not Smarter Models

AI's next breakthrough isn't smarter models, it's cheaper intelligence. Power and cloud bills decide who survives and who folds.

Jason Schultz

December 22, 2025 · 2 min read

What OpenAI's $300B Oracle Deal Says About the Real Cost of AI

The future of AI is about power, efficiency, and ROI. OpenAI's $300B bet with Oracle highlights both the promise and the risks of scaling compute.

Jason Schultz

December 8, 2025 · 2 min read

Why Buying More GPUs Won't Solve Your AI Cost Problem

A $30,000 GPU will not save inefficient code. Data centers eat the power of small countries. The real way forward is software.

Jason Schultz

November 24, 2025 · 2 min read

Why AI's Next Phase Depends on Compute Architecture, Not Bigger Models

The AI race isn't just about bigger models or faster chips — the real constraint is outdated infrastructure. Let's rethink the architecture that powers it all.

Justin Gelinas

November 10, 2025 · 2 min read

AI's Power Problem: Why Data Center Demand Will Grow 30x by 2035

AI's rise depends on infrastructure: chips, power, data centers, and software. Data center power demand is set to 30× by 2035, pushing systems to their limits.

Justin Gelinas

October 27, 2025 · 2 min read

The Hidden Software Layer Powering the AI Infrastructure Boom

While hyperscalers race to add gigawatts of capacity, a new layer of infrastructure is emerging to make all that raw power efficient, usable, and intelligent.

Justin Gelinas

October 13, 2025 · 2 min read

How Cloud Costs Are Eating AI Engineering Budgets

Cloud costs are skyrocketing, forcing teams to choose: survival or innovation. Creativity is getting crushed. The future belongs to those bold enough to build.

Justin Gelinas

September 29, 2025 · 2 min read

Why High GPU Utilization Doesn't Mean Your AI Workloads Are Efficient

Is 'fully utilized' real efficiency? Learn why busy-looking systems often hide massive waste and how TAHO helps deliver actual value.

Todd Smith

September 15, 2025 · 2 min read

6 Hidden Patterns of Wasteful AI Compute (And How to Fix Them)

Your cloud looks busy, but is it doing anything useful? Discover 6 hidden patterns of 'Dumb Computing' that silently waste thousands and how to fix them.

Todd Smith

September 1, 2025 · 2 min read

What Is the Compute Efficiency Layer (CEL)? A New Approach to AI Infrastructure

Your infrastructure looks modern, but is it? Discover how the Compute Efficiency Layer replaces outdated software, slashes costs, and boosts performance.

Todd Smith

August 18, 2025 · 2 min read

Publish Once, Run Everywhere: Distributed AI with Content Exchange (.ONCE™) and Piranha

TAHO pairs content-addressable storage (Content Exchange / .ONCE™) with distributed inference (Piranha) to run large models across machines—streaming-first, anywhere.

Todd Smith

April 14, 2026 · 12 min read