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Autonomous delivery · design partner preview

Nemotron, governed.

A self-hosted autonomous delivery system. It runs the same agent loop on your own GPU or on a frontier cloud model, executes every tool itself so the model never touches your credentials, and grades its own output well enough to bench its own agents.

1,337 tasks delivered into 25 projects for $192.38 of measured spend. Ten weeks, unattended. Every task, step, token and dollar lands in a database you own and can query — including the runs that failed, which is most of them.

Mamba processing · 52 layers, depth order

4 attention layers — the scarce resource

Layer 1: Mamba-2 (SSM)Layer 2: MLP / FFNLayer 3: Mamba-2 (SSM)Layer 4: MLP / FFNLayer 5: Mamba-2 (SSM)Layer 6: MLP / FFNLayer 7: Mamba-2 (SSM)Layer 8: MLP / FFNLayer 9: Mamba-2 (SSM)Layer 10: MLP / FFNLayer 11: Self-attentionLayer 12: MLP / FFNLayer 13: Mamba-2 (SSM)Layer 14: MLP / FFNLayer 15: Mamba-2 (SSM)Layer 16: MLP / FFNLayer 17: Mamba-2 (SSM)Layer 18: MLP / FFNLayer 19: Mamba-2 (SSM)Layer 20: MLP / FFNLayer 21: Self-attentionLayer 22: MLP / FFNLayer 23: Mamba-2 (SSM)Layer 24: MLP / FFNLayer 25: Mamba-2 (SSM)Layer 26: MLP / FFNLayer 27: Mamba-2 (SSM)Layer 28: MLP / FFNLayer 29: Mamba-2 (SSM)Layer 30: MLP / FFNLayer 31: Self-attentionLayer 32: MLP / FFNLayer 33: Mamba-2 (SSM)Layer 34: MLP / FFNLayer 35: Mamba-2 (SSM)Layer 36: MLP / FFNLayer 37: Mamba-2 (SSM)Layer 38: MLP / FFNLayer 39: Mamba-2 (SSM)Layer 40: MLP / FFNLayer 41: Self-attentionLayer 42: MLP / FFNLayer 43: Mamba-2 (SSM)Layer 44: MLP / FFNLayer 45: Mamba-2 (SSM)Layer 46: MLP / FFNLayer 47: Mamba-2 (SSM)Layer 48: MLP / FFNLayer 49: Mamba-2 (SSM)Layer 50: MLP / FFNLayer 51: Mamba-2 (SSM)Layer 52: MLP / FFN

Why self-hosted

Replace the cloud coding agent, not the model behind it.

A hosted agent gives you someone else’s tool surface, someone else’s pricing and someone else’s dashboard. This gives you the loop, the executor, the ledger and the governance — running against a model you can train, quantise and serve on hardware you own.

  1. 01

    Your GPU or theirs, same loop

    One ModelBackend trait. The self-hosted lane and the cloud lane share the same system prompt, prompt builder, tool parser and executor — so a difference in results is a model difference, never a harness difference.

    Measured4 backends · Nemotron, Claude API, Claude CLI, stub control

  2. 02

    The model never holds your credentials

    The orchestrator owns every tool, the workspace and the git identity. The model receives text and returns one JSON tool call. It cannot clone, execute or authenticate — there is no surface for it to do so.

    MeasuredPath-traversal guard fired in production, blocking a real escape attempt

  3. 03

    It benches its own agents

    Every completion is graded, ship-rate is computed per agent and model, and a pause-dispatch policy is written when an agent stops shipping — which the dispatcher reads back before it routes work.

    Measured1,272 graded tasks · it paused its own CEO, merger and batcher

  4. 04

    The lake is yours, and it is the source of truth

    Every task, step, token, dollar and decision lands in a local DuckDB file. No vendor dashboard, no reconstruction from logs. Both lanes bill into the same table shape, so cost comparisons are like-for-like.

    Measured14 tables · every number on this site is a SELECT away

  5. 05

    A durable org, not a chat session

    Five roles under enforced contracts: the merger compiles or reverts, the reviewer flags rather than silently fixes, the CEO drains a decision queue. Driven by a supervised clock that ingests GitHub issues and survives its own panics.

    Measured514 workflows · 1,338 schedule fires · 10 weeks unattended

The asset

Eight evaluation dimensions. One FAIL halts release.

Each gate names its instrument and its pass criterion before anything is run, so a result cannot be negotiated afterwards. The pipeline is defined; it has not yet been executed against a shipped adapter, so every criterion below reads Specified.

  1. Dim 1

    Accuracy & Quality

    LLM-as-judge over a 1,200-pair benchmark.

    ≥ 0.85 mean · no regression > 0.03

    Specified
  2. Dim 2

    Security

    Garak red-team plus a 412-prompt boundary suite.

    Zero jailbreaks, PII leaks or prompt extractions

    Specified
  3. Dim 3

    Infrastructure

    OPA, Checkov and CDK Nag against pod spec and IAM.

    Cosign-verified images · no privileged containers

    Specified
  4. Dim 4

    Regulatory

    Mapped controls against the Compliance Standards Library.

    Every mapped control evaluates compliant

    Specified
  5. Dim 5

    Data Governance

    OpenLineage completeness against Marquez.

    100% of test calls produce a complete record

    Specified
  6. Dim 6

    Guardrail Adherence

    Bedrock-compatible filters plus the OPA bundle.

    Boundary suite · zero bypasses

    Specified
  7. Dim 7

    Capability Governance

    Declared call surface vs the eBPF-traced one.

    Exact match required

    Specified
  8. Dim 8

    Auditability

    Dry-run mission against an Object Lock store.

    100% of calls queryable and signed within 5 s

    Specified

The independence argument

A methodology is only worth something if it can fail you.

Ours did. Run 5fe4bd2a put the self-hosted 4B lane through nine execution-graded tasks and it passed four. That result is on the benchmarks page in full, with the five failures named and the mechanism behind them explained.

A vendor benchmark that never reports a loss is a marketing artifact. The point of publishing the gates before the implementation is that the gates outlive whatever the implementation turns out to score.

What this site does not claim

helm install oci://ghcr.io/…

The chart is not published. The command 404s, so it is gone.

< 80 ms P99 adapter latency

An SLO in the spec, not an observation. There is no adapter to measure.

WORM audit trail · 5-year retention

Specified in §12. No such store is wired to anything today.

Serves Nemotron-4-340B

Never served here. It does not fit a 20 GB card.

status: beta

Beta implies shipping code. The gateway adapter crate holds one README.

Every delivery is anchored on-chain

All 1,337 records carry anchor-ready calldata, not a transaction. Broadcast is not wired; chain_logs has zero rows.

Confidential compute

That word means hardware-attested. Ours is private by ownership; attestation is a TEE partner lane.

Served here

One card. One model family. Stated plainly.

Verified against the host on 2026-08-19 with ollama list and nvidia-smi. Two entries, both running today. Nothing is listed that this box cannot hold.

OpenMamba computeIllustrative

A rendering, not a product. The measurements came off one RTX 4000 SFF Ada, drawn to scale on the benchmarks page.

NVIDIA · Agentic coding

Nemotron-3-Nano-4B

Hybrid Mamba-Transformer. The lane behind every self-hosted step in the open-mamba agent loop.

Pass rate
4 / 9Measured
Throughput
18.7 tok/sMeasured
Cost / task
$0.0475Measured
Hardware
RTX 4000 AdaMeasured

NVIDIA · Structured decisions

Nemotron-3-Nano-4B · QLoRA

Rank-64 fine-tune for structured-JSON decision output. Three domain adapters behind one /generate contract.

LoRA rank
32 · α 64Measured
Quant
4-bit nf4Measured
Adapters served
3Measured
Retrain cadence
hourlySpecified

Verifiability

Hashed and sealed today. Anchored when the broadcast is wired.

Three of these five layers run on every task. Two do not, and they are the two that would let a stranger verify a delivery without trusting us — so they are marked, not implied.

  1. 01

    Encrypted audit log

    AES-256-GCM over the full task envelope

    1,337 of 1,337 records carry a non-empty encrypted log

    Built
  2. 02

    Content hashing

    SHA-256 proof hashes over model output

    Unit-tested against known digests

    Built
  3. 03

    Anchor-ready calldata

    Every billing record carries encoded calldata

    Generated per task, stored in the lake

    Built
  4. 04

    On-chain broadcast

    Signing and sending the anchor transaction

    A TODO in anchor.rs. No transaction has ever been sent

    Not wired
  5. 05

    MessageTrail contract

    Append-only event log, 11 tests passing

    Written and tested. Devnet target, no mainnet deploy

    Not deployed

Standards

Mapped, not asserted.

The specification includes a control-by-control table for each framework. A mapping states where evidence would be found; it does not claim an audit has been performed.

Nothing here has been assessed by a third party.

Read the control mapping
  • EU AI Act

    Articles 12 (logging), 13 (transparency), 15 (accuracy & robustness)

  • NIST AI RMF 1.0

    GOVERN-1.1, MEASURE-2.7, MANAGE-4.1

  • ISO/IEC 42001:2023

    Clauses 8.3 (operations) and 9.1 (monitoring)

  • SOC 2

    CC6.1 (mTLS, KMS) and CC7.2 (immutable audit) — scope not yet confirmed

  • NAIC Model Bulletin

    §4.2 governance — owner, COE approval, evaluation evidence

  • OpenLineage

    Standard RunEvent shape; ingests in DataHub, Atlan, Collibra, Purview

Design partner kit

What a design partner actually receives.

  1. 01

    The nine-task execution-graded benchmark harness

    ships today
  2. 02

    412-prompt boundary suite and Garak configuration

    ships today
  3. 03

    OPA bundle, capability CRD and certificate schema

    ships today
  4. 04

    The adapter implementation

    not written

Design partner access

The harness, not the adapter.

What a design partner gets today is the evaluation kit: the nine-task benchmark, the 412-prompt boundary suite, the OPA bundle and the certificate schema. The adapter is specified and unwritten, and access does not change that.

Tell us what you would point it at. We reply to everything that names a real workload.

Paid access runs on the same box the benchmark ran on: one RTX 4000 SFF Ada, 20 GB, serving nemotron-3-nano:4b on a single stream. No larger card is behind a paid tier, and the numbers on this site are the numbers you would get.

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