Insights on GPU infrastructure, AI, and data centers.
Large language models generate text one token at a time, and each token requires a full forward pass through billions of parameters. The sequential bottleneck creates latency that frustrates users
Purpose-built security operations for AI infrastructure protecting high-value GPU deployments.
The datacom optical component market will grow over 60% to exceed $16 billion in revenue during 2025, driven primarily by continued growth in 400G and 800G shipments.¹ Shipments of 800G optical
Inference will account for 65% of AI compute by 2029 and 80-90% of lifetime AI costs. Why training and inference infrastructure require different optimization.
The Gulf states deployed sovereign wealth and geopolitical ambition to transform the Middle East into a global AI infrastructure destination. Microsoft committed $15.2 billion to the UAE. Saudi
Google's data centers consumed 22.3 TWh of electricity in 2023—more than entire countries like Sri Lanka—yet achieved net-zero emissions through a combination of 64% renewable energy purchases, 13%
The difference between remote hands and smart hands determines whether your failed GPU gets replaced in 15 minutes or 4 hours, potentially saving $180,000 in lost training time for a single
The GPU supply landscape has transformed dramatically since the severe shortages of 2023-2024. Supply chain improvements have eliminated the acute availability constraints that plagued earlier years,
Samsung Electronics stunned global markets by announcing a $230 billion AI infrastructure investment through 2030, representing just one component of South Korea's massive $735 billion sovereign AI
$3M in GPUs actually costs $15.7M over 5 years. Power, cooling, and staff push TCO 165% above hardware. Get the complete enterprise AI cost model.
Cerebras delivered Llama 4 Maverick inference at 2,500 tokens per second per user—more than double NVIDIA's flagship DGX B200 Blackwell system running the same 400-billion parameter model.¹ The
Microsoft's Quincy data center achieves 100% renewable energy matching on an hourly basis—not just annual net-zero—by combining 240MW of solar panels, 120MW of wind turbines, and 200MWh of battery
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