Time-Series and IoT Data for AI Training: Infrastructure for Sensor Data
Building scalable time-series data infrastructure for AI model training on IoT and sensor data.
Blog
Insights on GPU infrastructure, AI, and data centers.
InfiniBand Switches: NVIDIA Quantum-X800 and the XDR Generation Powering AI Supercomputers
InfiniBand switch sales surged in Q2 2025 as NVIDIA's Blackwell Ultra platform fueled demand for 800Gbps networking.¹ The InfiniBand market, valued at $25.74 billion in 2025, projects growth to
API Management for AI Services: Rate Limiting and Monetizing GPU Resources
OpenAI's ChatGPT API generating $2 billion annually through sophisticated rate limiting, Anthropic's Claude API preventing abuse while maintaining 99.99% availability for paying customers, and
Infrastructure as Code for GPU Clusters: Terraform and Ansible Automation Playbook
Manually configuring a 100-GPU cluster requires 2,400 individual commands, takes 3 weeks, and produces different results every time someone attempts it.¹ XCube Labs demonstrated that the same
DigitalOcean and AMD Prove Non-NVIDIA Inference Works at Scale: Character.ai's Billion-Query Breakthrough
Character.ai doubled inference throughput and halved cost per token by migrating to DigitalOcean's AMD-powered platform. The billion-query-per-day deployment validates AMD as a viable alternative for ...
4-Hour vs 24-Hour SLA: Remote Hands Service Tier Optimization for AI Operations
Anthropic's production cluster suffered a 14-hour outage costing $3.2 million in lost compute time because their colocation provider's 24-hour SLA meant waiting until the next business day to replace
Jensen Huang's warning: China builds data centers while America debates permits
NVIDIA CEO Jensen Huang delivered a stark message at the Center for Strategic and International Studies in December 2025: the United States faces a three-year timeline to build AI data centers, while
Test-Time Training Breakthrough: How TTT-E2E Enables AI Learning After Deployment Without Exploding Costs
Stanford and NVIDIA's TTT-E2E method achieves 35x faster inference than full attention at 2M context while matching accuracy. The approach treats long-context modeling as continual learning, compressi...
DeepSeek V4: How Manifold-Constrained Hyper-Connections Could Redefine AI Training Economics
DeepSeek's upcoming V4 model combines mHC architecture, Engram memory, and sparse attention to target 80%+ SWE-bench performance at a fraction of Western training costs. The technical innovations sign...
Spot Instances and Preemptible GPUs: Cutting AI Costs by 70%
Spotify cut ML costs from $8.2M to $2.4M using AWS Spot. Get 70-91% GPU discounts with 2-minute warnings. Complete interruption handling playbook.
API-Driven Infrastructure: Building Self-Service Portals for GPU Resources
Uber's Michelangelo platform serving 10,000 engineers with one-click GPU provisioning, OpenAI's API managing 100 billion tokens daily, and NVIDIA's Base Command Platform democratizing supercomputing
Apple-Google Gemini Partnership: What a $1B AI Deal Means for Infrastructure
Apple licenses Google's 1.2 trillion parameter Gemini model to power Siri. The deal accelerates Private Cloud Compute expansion while Apple builds its own AI server chips.