◆Own the stack instead of renting it: $15,388 stays with you over three years.
Cumulative cost of the same five-person workload over 36 months.
Eight benchmarks on the thing nobody else measures: what you still have when the vendor changes its mind.
Cumulative cost of the same five-person workload over 36 months.
Whether the workload still runs and the history is still yours, under five failure modes.
Our ownership framework applied to five stack types.
Change in what five vendors gave you, against the terms in force eighteen months earlier.
Which layers of the stack each kind of vendor actually owns.
Days from the decision to leave until the same workload runs somewhere else.
Cumulative change in published list price by vendor category, against Q3 2025.
Where three years of money goes, costed line by line for both stacks.
Oil has a price. Gold has a price. Compute didn't — so we built the index, made it public, and kept the history.
The same 8×H100 configuration, priced across every provider we index, in one hour.
Share of identified global compute capacity present in the index.
Data-centre facilities counted, against the only two public numbers that exist.
The four physical layers indexed alongside the machines.
Live inventory carried per provider — 900× between the largest and the smallest.
Days since each live feed's price content changed — the twelve oldest shown.
How much of the market is visible from where you're standing.
The five feeds behind 2,837 priced cells — and what happens when they disagree.
Business electricity by country, weighted into the blend by data-centre count.
Grid carbon intensity where the data centres are.
PeeringDB-listed facilities by operator.
Facilities by country, PeeringDB top five.
Monthly median price for an 8×H100 equivalent, against hyperscaler list.
Distinct providers whose live pricing each source actually carries.
What you can actually do with each source's price data.
Our transparency framework applied to five kinds of price source.
Indexed median $/hr by region and configuration.
Median age of the price each source shows you.
Host, train and run models for up to 80% less — and leave whenever you want, for nothing.
Time to reach suitable infrastructure, not time for a server to boot.
Saving on the same workload, priced across every provider we index.
Twelve-month total for the same four-vGPU workload.
What it costs to walk away, four ways.
One batch inference job, with one more decision applied at each step.
A live sample of five qualified offers, drawn from 32,324 in under sixty seconds.
The same market structure, eighteen years apart.
What sits on each side of the routing layer today.
What the routing layer actually reaches.
Capacity present in the index across all integrated providers.
Cumulative twelve-month cost of one 8B model at 40% duty cycle.
Annual cost as a function of duty cycle only.
Published egress cost by data volume.
Our buying framework applied to five ways of getting compute.
Every other assistant stops you somewhere. We published where we lose, too.
The ten capability domains available in a single workspace.
Blended annual cost of a mid-size AI workload.
Hours of sustained normal use before hitting a stop.
The common five-tool stack against a single subscription.
Headline price against true cost once retries are billed.
What each provider's terms of service permit.
Score against the frontier baseline, by task class.
Share of runs needing at least one retry to pass the eval.
Time to first token, 10th to 99th percentile, 2,000 requests per provider.
Models actually benchmarked, by modality.
Native capability to produce each kind of output.
What you control, rather than what the model can make.
Three execution zones, and what changes between them.
Four self-assessed scores, ordered so the lowest is not buried.
The first operating system where an agent has to ask before it spends your money — enforced by the system, not by a policy document.
The six capabilities built into the system rather than bolted on.
Money the same scripted agent managed to spend without asking.
What an agent can do unasked, by operating system.
Power-on through desktop and model load to the first generated token.
Built for agents, or built for desktop apps.
Thirty days of continuous agent operation, by outcome.
Free memory on a 32 GB machine five minutes after boot.
Memory the operating system holds after boot, before any model loads.
Agent request to approval prompt on screen, p10 to p99.
Clean machine to an agent running with spend, file and network scopes set.
A real four-step run: what moved, what it cost, and where approval sat.
The security ladder, with its one unfinished rung shown.
Our agent safety framework applied to five environments.
What each environment's audit log actually contains.
A machine on your desk that got 138% faster while it sat there, and never sent a byte anywhere.
All 492 text, code and agent runs on the device, with the best-so-far line.
All 226 image runs on a log axis — the only axis where a 46× drop is visible.
Realtime speedup over 31 days — audio seconds produced per wall second, measured on the Own 1 itself. Above the dashed line is faster than speech.
Every benchmarked model plotted on generation speed against answer quality.
Day one against best so far, each row scaled to its own range.
What the 812 measured runs actually cover.
Runs by execution harness across the whole programme.
The twelve most-run models in the programme.
Bytes leaving the network interface during one hour of identical work.
Sustained wall power during identical inference work.
Hardware cost divided by the number of people sharing it.
Months to payback by team size.
Throughput by modality, p10 to p90.
Energy, carbon and cost for a thousand tasks.
Nine capabilities, and what the obvious alternative actually offers instead.
The hardware and the runtime, on one card.
The capacity of a single machine.
What two models and eight agents add up to.
Benchmarks marked ◆ measure ownership: exit cost, candour, bytes leaving the device, and what survives when a vendor changes its mind. Competitor names are withheld where we have not sought permission; every anonymised row is identified in the data room. Where we lose, the chart says so — the two task classes below our claim threshold, the 13% duty-cycle crossover, the frontier model that beats our retry rate, the 39-month single-user payback, and the cost line on Own 1 energy are all published rather than omitted.