H100 IndexWhat it costs to rent one H100 GPU for an hour on demand — the market’s anchor price.
- Value
- $4.29 / H100-hr
- Last Price Change
- May 27, 2026
Morning Brief
Morning Brief: Friday, June 19, 2026
Start-of-day AI compute market report.
Published each morning with the prior day’s source-backed signals across GPU pricing, cloud capacity, power constraints, data centers, and AI infrastructure. Track the prior day’s source-backed news and changes shaping GPU supply, cloud availability, power constraints, data centers, and compute market pressure.
Morning Brief
Morning Tape
- Report date
- Friday, June 19, 2026
- Signal window
- Thursday, June 18, 2026
- How FERC’s Large-Load Interconnection Actions Help Address Grid Stress, Improve Affordability
- DOJ intervenes on behalf of xAI in data center gas turbine lawsuit
- Maryland lawmakers back data center transmission cost complaint at FERC
Today's Compute College lesson
Why Reasoning Models Cost More to Serve
Reasoning models generate long chains of thought before answering, multiplying output tokens — and output tokens drive inference cost.
Why it matters today: Today's lesson connects the Model Benchmarks & AI Compute Economics track to the compute market readers are watching.
Read the lessonLearn the Market
Term of the Day: Custom silicon
Custom silicon means chips designed for a specific company's workloads instead of general market sale. Hyperscalers use custom AI chips to improve cost, performance, supply control, and power efficiency. Examples include cloud-provider accelerators built for internal AI training or serving.
Market signals
Compute market signals
Spot Compute PriceThe cheaper, interruptible GPU price — a read on whether spare capacity is available.
- Value
- $2.46 / H100e-hourH100e-hour means an H100-equivalent GPU hour, a normalized unit used to compare different GPUs and providers.
- Last Price Change
- May 27, 2026
Model Serving CostRoughly what it costs to run a model and generate its output at scale, per million tokens.
- Value
- $1.74 / 1M tokens
- Last Price Change
- Jun 15, 2026
GPU AvailabilityHow easy or hard it is to actually get GPU capacity right now, scored 0–100.
- Value
- 78 / 100 score
- Last change
- May 27, 2026
Signals
Top market signals
These are the highest-impact source-backed items from the signal window used for this morning’s brief.
Jun 18, 2026
How FERC’s Large-Load Interconnection Actions Help Address Grid Stress, Improve Affordability
this may affect power supply, demand, capacity, bottlenecks, or financing.
Jun 18, 2026
DOJ intervenes on behalf of xAI in data center gas turbine lawsuit
Watch item for AI compute supply, demand, capacity, infrastructure, or market structure.
Jun 18, 2026
Maryland lawmakers back data center transmission cost complaint at FERC
Watch item for AI compute supply, demand, capacity, infrastructure, or market structure.
Jun 18, 2026
Switch buys another site outside Las Vegas
Watch item for AI compute supply, demand, capacity, infrastructure, or market structure.
Jun 18, 2026
Nscale to Host Monarch Compute Campus Job Fair Connecting Job Seekers with Careers and Training
this may affect data center supply, demand, capacity, bottlenecks, or financing.
Power & Data Center Watch
- How FERC’s Large-Load Interconnection Actions Help Address Grid Stress, Improve Affordability (NVIDIA Blog).
- DOJ intervenes on behalf of xAI in data center gas turbine lawsuit (Utility Dive).
- Maryland lawmakers back data center transmission cost complaint at FERC (Utility Dive).
Watch next
Signals for the next issue
- Applied Digital Reaches Significant Milestone, Surpassing 1 GW of Contracted Capacity with U.S. Based High Investment-Grade Hyperscaler Lease at Fourth Campus, Polaris Forge 3 (Applied Digital Press Releases).
- MLPerf Training v6.0: Lambda delivers fastest LLM training on NVIDIA GB300 NVL72 and fastest MoE training on NVIDIA HGX B200 (Lambda Blog).
- Nebius expands in UK with more NVIDIA-powered infrastructure, more customers, and more cloud capabilities for agentic and enterprise AI June 8, 2026 (Nebius Newsroom).
- New 339-mile transmission line brings Canadian hydropower to NYC (Utility Dive).
- Fastest, Largest, Strongest: NVIDIA Blackwell Sweeps MLPerf Training 6.0 (NVIDIA Blog).
Recent Briefs
Last 10 Briefs
Morning Brief: Friday, June 19, 2026
Signal window: Thursday, June 18, 2026. How FERC’s Large-Load Interconnection Actions Help Address Grid Stress, Improve Affordability
Morning Brief: Thursday, June 18, 2026
Signal window: Wednesday, June 17, 2026. New 339-mile transmission line brings Canadian hydropower to NYC
Morning Brief: Wednesday, June 17, 2026
Signal window: Tuesday, June 16, 2026. MLPerf Training v6.0: Lambda delivers fastest LLM training on NVIDIA GB300 NVL72 and fastest MoE training on NVIDIA HGX B200
Morning Brief: Tuesday, June 16, 2026
Signal window: Monday, June 15, 2026. Bitdeer breaks ground on natural gas plant and data center in Alberta, Canada
Morning Brief: Monday, June 15, 2026
Signal window: Sunday, June 14, 2026. Data centers are getting caught up in conflict. What does this mean for cloud strategy?
Morning Brief: Sunday, June 14, 2026
Signal window: Saturday, June 13, 2026. NVIDIA Blackwell Leads on First Agentic AI Infrastructure Benchmark
Morning Brief: Saturday, June 13, 2026
Signal window: Friday, June 12, 2026. What could save Arizona tens of millions in annual customer and infrastructure costs? Residential pool pumps.
Morning Brief: Friday, June 12, 2026
Signal window: Thursday, June 11, 2026. 1M+ customers have connected solar to PG&E’s grid
Morning Brief: Thursday, June 11, 2026
Signal window: Wednesday, June 10, 2026. NVIDIA Confidential Computing to Help Expand Apple’s Private Cloud Compute
Morning Brief: Wednesday, June 10, 2026
Signal window: Tuesday, June 9, 2026. FirstEnergy asks FERC to require data centers to pay for transmission interconnection costs