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Founder GuidesHow to Stop Your Team From Burning the AI Budget (Without Banning It)
The durable fix is not rationing tokens after the overspend, it is modeling cost per task up front so every team gets a budget tied to real unit economics.
LLM EconomicsGPU Cloud Providers in Europe 2026: The Real Cost of Data Residency
European GPU clouds offer B200 and H200 capacity with EU data residency and sovereignty, but residency usually carries a price premium that you should model as part of cost per token, not treat as a free checkbox.
LLM EconomicsCustom AI Chips vs NVIDIA in 2026: What It Means for Your Inference Cost
Hyperscaler custom chips like Trainium, Google TPU, Maia, and Meta MTIA are built to cut the provider's cost of serving AI, but that only lowers your bill if it shows up as a cheaper per-token price or GPU-hour rate.
Founder GuidesSelf-Hosting vs API: When Local LLMs Actually Cost Less
Local open models can run inference at near-zero marginal cost when you reuse hardware you already own, but they are rarely truly free once you count electricity, throughput limits, and engineering time.
LLM EconomicsOracle Cloud GPU Pricing in 2026: H100 vs H200 vs B200 Per-Hour Cost
Oracle Cloud prices H100, H200, and B200 GPUs at different per-hour rates, but the cheapest choice depends on your model size and utilization, not on which chip is newest.
LLM EconomicsTPU 8i vs NVIDIA Rubin and B200: Cost Per Token for LLM Inference (2026)
The accelerator with the best benchmark is not always the cheapest per token, because cost per token depends on price per hour, real throughput, and how much migration and lock-in you have to amortize.
LLM EconomicsNVIDIA B200 Cloud Pricing in 2026: How to Compare Per-Hour GPU Costs
B200 rental prices vary widely across clouds, so the number that matters is not dollars per hour but dollars per million tokens once you factor in throughput and utilization.
Pricing StrategyAI Pricing Is Going Up: Why Today's Cheap LLM Costs Won't Last
Today's AI prices are partly subsidized by investors chasing market share, so as that money tightens, per-token prices and tiers can climb. Build your margins for the expensive future, not the cheap present.
LLM EconomicsLLM Inference Cost at Scale: Napkin Math for Founders
To estimate LLM inference cost, multiply tokens per request by requests per month by your blended price per million tokens, then stress-test each assumption before you trust the total.
LLM EconomicsWhy the Cheapest LLM Provider Won't Save Your Margins
Switching to the cheapest LLM provider rarely rescues a thin margin, because your token volume and product design drive cost far more than a lower headline $/1M-token rate.
LLM EconomicsWhat a $150M/Month Compute Deal Says About Your Token Costs
When an AI lab commits to about $150M a month for GPUs, that fixed cost has to be earned back through the tokens it sells, which is why your per-token price is really a bet on someone else's utilization.
LLM EconomicsWhat a $28B Neocloud Tells You About Your AI Token Costs
A neocloud is a GPU-only cloud built for AI compute, and when one reportedly clears $28B a year, it is a signal that the compute under your LLM bill is a large, fast-moving cost you should model as a variable, not a constant.
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