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TEN's blog on enterprise GPU infrastructure — GPU utilization, FinOps, AI networking, and data center power. Practical insights for teams running AI at scale.
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Transformers Are Now Harder to Get Than GPUs: Why Power Is the Real AI Data Center Bottleneck

Transformers Are Now Harder to Get Than GPUs: Why Power Is the Real AI Data Center Bottleneck

The AI data center bottleneck is shifting from GPUs to power. Here's why transformer lead times now stretch past three years and how to run more AI on the power you already have.
Amanda's avatar
Aug 12, 2026
Industry Insights
What Is a Neocloud? GPUaaS Market Growth and Monetization Strategy

What Is a Neocloud? GPUaaS Market Growth and Monetization Strategy

Neoclouds are GPUaaS clouds for AI workloads. After the GPU race, profitability hinges on the operational layer — utilization, multi-tenancy, billing, and automation.
Amanda's avatar
Aug 11, 2026
Industry Insights
GPU Power Optimization: How to Control the 40% of AI Data Center Operating Costs That Go to Power

GPU Power Optimization: How to Control the 40% of AI Data Center Operating Costs That Go to Power

No matter how many GPUs you buy, there's no profitability without power control. — we break down AIPub's GPU power optimization strategy.
Amanda's avatar
Aug 11, 2026
GPU & AI Ops
Inference Optimization in the Blackwell Era: Why Cost-Per-Token Is the New Standard

Inference Optimization in the Blackwell Era: Why Cost-Per-Token Is the New Standard

If you chose your GPU based on FLOPs/$, you'll regret it when inference bills arrive. We break down Blackwell Ultra's cost-per-token revolution and what it means for infrastructure operations.
Amanda's avatar
Aug 11, 2026
Industry Insights
What Is a Modular Data Center (MDC)? The Next-Generation Approach to Building AI Infrastructure

What Is a Modular Data Center (MDC)? The Next-Generation Approach to Building AI Infrastructure

Learn what a Modular Data Center (MDC) is, how it differs from containerized data centers, and why MDC are becoming a practical deployment model for high-density AI infrastructure.
Amanda's avatar
Aug 09, 2026
Product Guide
Transformers Are Now Harder to Get Than GPUs: Why Power Is the Real AI Data Center Bottleneck

Transformers Are Now Harder to Get Than GPUs: Why Power Is the Real AI Data Center Bottleneck

The AI data center bottleneck is shifting from GPUs to power. Here's why transformer lead times now stretch past three years and how to run more AI on the power you already have.
Amanda's avatar
Aug 12, 2026
Industry Insights
What Is a Neocloud? GPUaaS Market Growth and Monetization Strategy

What Is a Neocloud? GPUaaS Market Growth and Monetization Strategy

Neoclouds are GPUaaS clouds for AI workloads. After the GPU race, profitability hinges on the operational layer — utilization, multi-tenancy, billing, and automation.
Amanda's avatar
Aug 11, 2026
Industry Insights
GPU Power Optimization: How to Control the 40% of AI Data Center Operating Costs That Go to Power

GPU Power Optimization: How to Control the 40% of AI Data Center Operating Costs That Go to Power

No matter how many GPUs you buy, there's no profitability without power control. — we break down AIPub's GPU power optimization strategy.
Amanda's avatar
Aug 11, 2026
GPU & AI Ops
Inference Optimization in the Blackwell Era: Why Cost-Per-Token Is the New Standard

Inference Optimization in the Blackwell Era: Why Cost-Per-Token Is the New Standard

If you chose your GPU based on FLOPs/$, you'll regret it when inference bills arrive. We break down Blackwell Ultra's cost-per-token revolution and what it means for infrastructure operations.
Amanda's avatar
Aug 11, 2026
Industry Insights
What Is a Modular Data Center (MDC)? The Next-Generation Approach to Building AI Infrastructure

What Is a Modular Data Center (MDC)? The Next-Generation Approach to Building AI Infrastructure

Learn what a Modular Data Center (MDC) is, how it differs from containerized data centers, and why MDC are becoming a practical deployment model for high-density AI infrastructure.
Amanda's avatar
Aug 09, 2026
Product Guide
Why Traditional Data Centers Are Reaching Their Limits in the AI Era

Why Traditional Data Centers Are Reaching Their Limits in the AI Era

Explore why traditional data centers are reaching their limits in the AI era, as GPU power density, cooling requirements, and construction timelines reshape AI infrastructure strategy.
Amanda's avatar
Aug 09, 2026
Product Guide
Why GPU Infrastructure Operations Must Evolve in the Agentic AI Era

Why GPU Infrastructure Operations Must Evolve in the Agentic AI Era

Traditional infrastructure operations can no longer control resource contention or security risks. Here's why access control must extend beyond GPUs to the entire stack.
Amanda's avatar
Aug 08, 2026
Industry Insights
The Structural Limits of Time-Slicing: How Spatial Partitioning Solves the 30% GPU Utilization Problem

The Structural Limits of Time-Slicing: How Spatial Partitioning Solves the 30% GPU Utilization Problem

Low GPU utilization isn't caused by the structural limits of time-slicing. See how spatial partitioning fundamentally solves these problems.
Amanda's avatar
Aug 08, 2026
GPU & AI Ops
Understanding Docker for AI: From Container Tech to GPU Optimization Strategies.

Understanding Docker for AI: From Container Tech to GPU Optimization Strategies.

What is Docker and why is it essential for AI and MLOps? Learn container architecture, runtime structure, and how to manage GPUs efficiently in container environments.
Amanda's avatar
Aug 08, 2026
AI Infrastructure
What Is DiLoCo? Distributed LLM Training Without Ultra-Fast Networks

What Is DiLoCo? Distributed LLM Training Without Ultra-Fast Networks

DiLoCo, Streaming DiLoCo, and Decoupled DiLoCo cut communication overhead in distributed LLM training — and what it means for multi-cluster GPU ops.
Amanda's avatar
Aug 08, 2026
AI Infrastructure
Why GPU Scheduling is Non-Negotiable in 2026: KubeCon EU Highlights

Why GPU Scheduling is Non-Negotiable in 2026: KubeCon EU Highlights

At KubeCon EU 2026, NVIDIA donated GPU scheduling tools to CNCF. With 80% of AI workloads now running on Kubernetes, GPU scheduling has become essential infrastructure.
Amanda's avatar
Aug 07, 2026
Industry Insights
GPU Cluster Adoption Guide: 5 Essential Checks for Scalable AI Infrastructure

GPU Cluster Adoption Guide: 5 Essential Checks for Scalable AI Infrastructure

Thinking of building a GPU cluster? Check these 5 essential factors before scaling your AI infrastructure, from distributed training to scheduling and resource optimization.
Amanda's avatar
Aug 07, 2026
GPU & AI Ops
NVIDIA MIG: A Practical Guide to GPU Partitioning for Efficient AI Infrastructure

NVIDIA MIG: A Practical Guide to GPU Partitioning for Efficient AI Infrastructure

What is NVIDIA MIG? Learn how Multi-Instance GPU enables efficient GPU partitioning, improves utilization, and reduces AI infrastructure costs with real-world strategies.
Amanda's avatar
Aug 07, 2026
GPU & AI Ops
AI Infrastructure Is Not Just About GPUs: Why Storage and Network Fabric Matter

AI Infrastructure Is Not Just About GPUs: Why Storage and Network Fabric Matter

GPUs alone are not enough for AI infrastructure. Learn why storage and network fabric are critical to performance, and how to design a balanced AI system.
Amanda's avatar
Aug 06, 2026
AI Infrastructure
Maximizing AI ROI: 5 Strategies for Achieving 100% GPU Efficiency via AIPub

Maximizing AI ROI: 5 Strategies for Achieving 100% GPU Efficiency via AIPub

Why are expensive GPUs sitting idle? Learn 5 practical strategies for GPU scheduling, fractional usage, and AI workload automation with AIPub.
Amanda's avatar
Aug 06, 2026
Product Guide
How to Build AI Infrastructure: Designing with Reference Architecture

How to Build AI Infrastructure: Designing with Reference Architecture

Struggling to design AI infrastructure? Learn how reference architecture helps you choose the right GPU, optimize performance, and reduce risk with data-driven decisions.
Amanda's avatar
Aug 05, 2026
AI Infrastructure
GPU Resource Optimization: 5 Essential Checks Before Building AI Infrastructure

GPU Resource Optimization: 5 Essential Checks Before Building AI Infrastructure

Before buying more GPUs, check your AI infrastructure. Learn 5 essential steps to optimize GPU resources and improve performance with smarter operations.
Amanda's avatar
Aug 05, 2026
GPU & AI Ops
What Is an AI Network Fabric? Why Adding GPUs Doesn't Speed Up Training

What Is an AI Network Fabric? Why Adding GPUs Doesn't Speed Up Training

More GPUs don't guarantee faster training — the network fabric may be the bottleneck. Here's why scaling efficiency drops and what to check first.
Amanda's avatar
Aug 05, 2026
Industry Insights
AI Factory Era: Why NVIDIA Is Betting on Operating Software Over GPU Performance

AI Factory Era: Why NVIDIA Is Betting on Operating Software Over GPU Performance

NVIDIA is shifting from selling GPUs to selling AI factory operating software. Here's what DSX, Tokens per Watt, and this shift mean for your GPU infrastructure.
Amanda's avatar
Aug 05, 2026
Industry Insights
What Is Disaggregated Inference? Why LLM Serving Splits Prefill and Decode

What Is Disaggregated Inference? Why LLM Serving Splits Prefill and Decode

Disaggregated Inference splits LLM inference's Prefill and Decode stages across separate GPUs — here's why, its performance benefits, and what to check before adopting it.
Amanda's avatar
Aug 05, 2026
AI Infrastructure
Hybrid Multi-Cluster AI Infrastructure Management: A Unified Strategy

Hybrid Multi-Cluster AI Infrastructure Management: A Unified Strategy

Learn how to manage hybrid and multi-cluster AI infrastructure. Discover unified orchestration strategies to optimize GPU utilization and reduce operational complexity.
Amanda's avatar
Aug 04, 2026
GPU & AI Ops
AI Infrastructure Optimization: Why GPU Monitoring Is Essential

AI Infrastructure Optimization: Why GPU Monitoring Is Essential

Learn why GPU monitoring is critical for AI infrastructure. Discover how AI Pub enables real-time visibility, bottleneck detection, and cost optimization.
Amanda's avatar
Aug 04, 2026
GPU & AI Ops
What Is the NVIDIA AI Factory? Why Data Centers Are Becoming “Token Factories”?

What Is the NVIDIA AI Factory? Why Data Centers Are Becoming “Token Factories”?

NVIDIA AI Factory redefines data centers as intelligence production systems. Learn how Blackwell NVL72, reasoning AI, and token economics are reshaping AI infrastructure.
Amanda's avatar
Aug 04, 2026
Industry Insights
What Is Extreme Co-Design? From Chip to Rack: NVIDIA’s New AI Infrastructure Model

What Is Extreme Co-Design? From Chip to Rack: NVIDIA’s New AI Infrastructure Model

What does NVIDIA mean by Extreme Co-Design? Explore how AI infrastructure is shifting from chip-level scaling to rack-level system design in the AI factory era.
Amanda's avatar
Aug 04, 2026
Industry Insights
AI Is Playing in the 2026 FIFA World Cup Too  What It Reveals About AI Agents

AI Is Playing in the 2026 FIFA World Cup Too What It Reveals About AI Agents

At the 2026 World Cup, Football AI Pro reshapes tactical analysis and broadcasting — revealing why AI orchestration is essential for enterprise AI agents.
Amanda's avatar
Aug 03, 2026
Industry Insights
What Is MLOps? A Complete Guide to Machine Learning Operations and Lifecycle

What Is MLOps? A Complete Guide to Machine Learning Operations and Lifecycle

Learn what MLOps is and why it matters. From data to deployment and monitoring, explore the full machine learning lifecycle and how to run AI systems efficiently.
Amanda's avatar
Aug 03, 2026
AI Infrastructure
DeepSeek Shock and Extreme Co-Design: How NVIDIA Is Redefining the Future of AI Infrastructure

DeepSeek Shock and Extreme Co-Design: How NVIDIA Is Redefining the Future of AI Infrastructure

DeepSeek proved software can beat hardware limits. See how NVIDIA's Extreme Co-Design turns chips, networks, and systems into one AI factory.
Amanda's avatar
Aug 03, 2026
Industry Insights
What Is Checkpointing? How Large-Scale LLM Training Recovers from GPU Failures

What Is Checkpointing? How Large-Scale LLM Training Recovers from GPU Failures

LLM training across thousands of GPUs makes failures inevitable. This guide compares synchronous, asynchronous, and in-memory checkpointing strategies.
Amanda's avatar
Aug 03, 2026
AI Infrastructure

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