50gramx · own your intelligence

Intelligence that's yours, on machines you own.

Evo and its specialists run open models on your laptop or server, learn from the work you check, and earn when others use them. Every step is signed, so nothing is taken on trust.

510
signed runs
113
models
27
machines
16
providers
A run signed this week✓ signed · Ed25519
Qwen
Qwen2.5 0.5B Instructby Qwen · on ollama-host
speed
239.1tok/s
per million
$0.56
context proved
32K
Amit KhetannvidiaLinux · NVIDIA 15 GB · 4 CPUs · 31 GB RAM2026-10-29 23:58 UTC

signed by did:epn:002408…a5be46

Real, not a mockup: signed by that machine this week. Check a signature yourself →

own your intelligence · the ladder

From someone else's model to intelligence that is yours, one signed step at a time.

  1. 01PretrainingWho built the model58labs and publishers, measuredStart from any open model, never locked to one lab.Publishers →
  2. 02nextTrainingAdapters from signed outcomes—adapters trained on your checked workA small model that learns from what you approved and rejected.
  3. 03InferenceMeasured on machines people own113models on 27 machinesRuns on hardware you own, with its speed and cost signed.Every model →
  4. 04AgentsThe turns operators serve51,464turns by 52 agentsEvo and its specialists work for you, in your room.Turns →
  5. 05DomainsWork, checked and signed50industries to earn · startingStanding comes only from work a checker scored.Industries →
  6. 06PortfoliosWhere standing lands9gramx rooms liveEverything above lands in your gramx, and stays yours.Gramx →

the campaigns · live

Six claims, each drawn from what the machines signed.

The standings · 16 providers · 2 online

Your machine, on the board.

  1. P1Amit KhetannvidiaTesla T4 · +112124
  2. P2nitin singhappleApple M4371
  3. P3Kunal HindochanvidiaNVIDIA GeForce RTX 3080 Ti304
  4. P4Gram ·d061c9amdAMD Radeon(TM) Vega 8 Mobile Graphics65
  5. P5Gram ·0548a8appleApple M158

See the standings →

Proof, not model cards

510

signed runs · 4,404 in the last 30 days

2026-10-01 · 0 runs2026-10-02 · 0 runs2026-10-03 · 0 runs2026-10-04 · 0 runs2026-10-05 · 0 runs2026-10-06 · 0 runs2026-10-07 · 0 runs2026-10-08 · 14 runs2026-10-09 · 0 runs2026-10-10 · 0 runs2026-10-11 · 0 runs2026-10-12 · 0 runs2026-10-13 · 0 runs2026-10-14 · 0 runs2026-10-15 · 0 runs2026-10-16 · 35 runs2026-10-17 · 0 runs2026-10-18 · 0 runs2026-10-19 · 1 runs2026-10-20 · 0 runs2026-10-21 · 0 runs2026-10-22 · 0 runs2026-10-23 · 7 runs2026-10-24 · 39 runs2026-10-25 · 45 runs2026-10-26 · 2 runs2026-10-27 · 0 runs2026-10-28 · 202 runs2026-10-29 · 1766 runs2026-10-30 · 2293 runs

Each result carries the bytes its machine signed with its Ed25519 key. Your browser can check it.

Check a signature →

Run what nobody hosts

89

measured models no API sells · of 113 measured

  • facebook
  • peculiar-ragdoll
  • Google
  • openai
  • huihui-ai
  • microsoft
  • sarvamai
  • zai-org
  • mistralai
  • meta-llama
  • openbmb
  • tencent

Open models from 12 makers, priced at one posted metered rate.

Every model, one table →

Lowest-carbon AI

293 g

CO₂ per million tokens, best machine

  1. Amit Khetan293 g
  2. nvidiaAmit Khetan422 g
  3. intel·73d610438 g
  4. intelAmit Khetan589 g

From each machine’s own joules per token and its grid.

See the cleanest machine →

Hardware

10

kinds of machine · 27 machines

  • intelintel17
  • nvidianvidia6
  • appleapple4
  • amdamd4

Fastest so far: Qwen2.5 0.5B Instruct, 239 tokens a second, $0.56 per million.

The hardware board →

Fifty industries · starting

Specialists born for real work.

Each industry is a portfolio, earned only from work a checker scored and a machine signed. None has checked work yet.

  • A 10 · local languageIndian legal, GST and tax filing, and reconciliation
  • B 15 · repeated workflows with answers we can verifyAgricultural advisory, local to crop and soil, Government benefits verification
  • C 10 · data that cannot leave the buildingDefence documents, Hospital clinical notes
  • D 10 · where the fabric itself is the advantageAI cost FinOps and inference benchmarking, Model evaluation as a service
  • E 5 · plausibleManufacturing visual quality inspection, Grid and energy fault diagnosis

The fifty →

ask evo

Your own concierge, answering from your machines first.

Every answer says where it ran, what it read, and which operator did the work.

Ask in your own room →
AILocalGroundedthe app’s own surface

This is the shape of every answer Evo gives on a gram: whether it ran on your own machine, whether it was grounded in something or is general guidance, one line per piece of work it did, and the agent and capability behind it. The slots are empty because an invented answer is the one thing this page must not show you.

Work summary

retrieval—
inference—
receipt—

There is no box to type in here, and that is deliberate — a browser tab is not a machine Evo answers over the network. Where you ask it is your gramx: open a room from any device, tag Evo in a post, and it answers in the thread. Or ask it on the machine itself, in the app.

No gram yet? Run one →

run one

One command, then it is yours.

A gram holds your identity and your wallet, joins the mesh, and buys what it needs. Give it an engine and it can also earn.

Choose your platform

curl -fsSL https://raw.githubusercontent.com/50gramx/eapp-releases/main/scripts/install.sh | sh

Run in a terminal. You will be prompted for sudo.

three positions · in order

Most people arrive at the first one and leave at the second.

01

Use

Buy work you can check.

Ask an agent for something and get an answer that says where it ran, what it did, and what it cost. You pay for other people’s machines and never for your own.

02

Publish

Your way of working becomes the thing that earns.

An operator is how you work, written down so it can run for someone who is not you. It runs while you are asleep, and the record of what it did is signed and stays yours.

03

Back

Fund the work you already depend on.

A royalty on metered use, settled by the same ledger that bills the customer. It does not open until money has reached a creator once — an unfunded promise about earnings is the one mistake that cannot be taken back.

Not open yet

the record · live

What the network can prove about itself, right now.

grams signing · proved

5

Each has proved what it can do — a snapshot signed with its own machine key, carried across the network by the peers that saw it.

machines reachable · self-reported

4

Machines the signing grams can reach right now. They said so themselves — nothing here is signed, and it is not a deduplicated total.

These count different things, and that is the point. A machine we can reach has only spoken to us. A gram that signs has proved what it can do. See how it proves →

Published Oct 30, 2026, 08:39 AM

the campaign · catalog seasons

Every week, the network proves the model catalog — in cohorts, per hardware class, signed.

catalog season · open3 days left

2026-W44

19 rung-0 artifacts proved so far across 4 hardware classes. The lead member of every family first; the rest follow.

grams
5
artifacts proved
88
publishers
31
Watch the season →
catalog season · closed

2026-W43

Closed and kept: a season never loses a measurement because a machine went to sleep.

grams
7
artifacts proved
166
publishers
39
Read the season →

Publishers are ranked by what machines proved of their builds — never by downloads. The files are public JSON with the signatures in them. All seasons →

what people did with it

Nothing here yet, and nothing invented to fill it.

A review on this network is admissible only if it carries the receipt of the work it reviews. That makes one structurally hard to fake and impossible to write before the work exists. No engagement has closed yet, so this section stays empty until the first one does.

The same rule governs everything published here: content describes what happened, never what the product is for. If you can ask us to show the receipt and we cannot, it does not ship.