← Cockpit
AI_017predictionSemisNemoClaw-Vera-CPU-rack

NVIDIA will make Agentic AI the primary demand vector via two specialized products: the 'NemoClaw' developer toolkit for building/orchestrating autonomous agents, and the 'Vera CPU rack' hardware platform explicitly designed to host, deploy, and execut...

Predictor: Jensen Huang

Prior probability
78.0%
Current probability
74.8%
evolves via intake + LBP
Conviction
4/5
Signal quality
A
Resolution
in_progress
Window
2026-01-01 – 2027-12-31
Edges in / out
4 / 0
Tickers exposed
32

Prediction text

NVIDIA will make Agentic AI the primary demand vector via two specialized products: the 'NemoClaw' developer toolkit for building/orchestrating autonomous agents, and the 'Vera CPU rack' hardware platform explicitly designed to host, deploy, and execute agents at enterprise scale. | NVIDIA GTC product announcements

Key catalyst: NVIDIA GTC product announcements

Watch events: Vera Rubin launch; NVIDIA enterprise agent partnerships

Resolution evidence

Status: in_progress

NVIDIA NeMo Retriever / Agent Intelligence Toolkit (2025-2026); Vera CPU disclosed as Vera Rubin generation sidecar; CoWoS capacity reserved for paired silicon.

Predictor: Jensen Huang

κ + Brier as of 2026-05-22
κ (discount)
0.808
Brier
0.0128
excellent
Hits / Misses
6 / 0
of 8 resolved
Hit rate
75.0%
Calibration plot (stated vs observed)

Evidence about this node from Jensen Huang is multiplied by κ in /api/intake. Lower κ = less weight; floors at 0.10 (effectively silenced) and caps at 1.00 (full weight).

Reference class: ai_capability_milestone_2y

Linked

AI reaches specific named capability (intern-level / world-class programmer / etc) within 2y of stated target

Base rate
5/15 historical
Inside weight
0.444
TRF=0.79
Outside weight
0.556
pulling toward base rate
inside 74.8% → blend 74.8% 0.0pp)

Tetlock-style outside view: at TRF=1 (just predicted), outside view dominates (w_in=0.3). At TRF=0 (deadline), inside view dominates (w_in=1.0). The blend regularizes overconfident inside views toward the historical base rate.

Probability over time

6 prob_history rows
0%25%50%75%100%prior 78%2026-04-302026-05-212026-05-30
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 74.8%

Milestone chain

Pre-event signals (upstream prereqs + window checkpoints) → resolution event → downstream cascades. Status/dates update from linked nodes; re-derive nightly via scripts/ops/derive_milestones.py.
Leading chain: 2 fired ✓ · 1 overdue ⏱ · 3 pending
  1. 2026-03-31hitNVIDIA officially launches Vera CPU rack purpose-built for agentic AI
    How: NVIDIA publicly announces Vera CPU rack at GTC 2026 or in newsroom press release as flagship agentic-AI hardware platform
    Source: https://nvidianews.nvidia.com/news/nvidia-launches-vera-cpu-purpose-built-for-agentic-aiconf 99%
    Notes: HIT — NVIDIA launched Vera CPU at GTC 2026. Vera CPU rack hosts 256 liquid-cooled CPUs sustaining 22,500 concurrent CPU environments for agents.
  2. 2026-03-31hitNVIDIA unveils Agent OS / NeMoClaw operating system for agents
    How: NVIDIA publicly unveils Agent OS branded as 'NeMoClaw' (or equivalent) as the OS layer for autonomous-agent deployment on Vera Rubin
    Source: https://prosglobalinc.com/nvidia-gtc-2026-vera-rubin-ai-architecture/conf 99%
    Notes: HIT — NVIDIA unveiled Agent OS NeMoClaw and the open-source NVIDIA Agent Toolkit at GTC 2026.
  3. 2026-05-16overdueQ1 window check-in (25%)
  4. 2026-09-28pendingQ2 window check-in (50%)
  5. 2026-09-01 → 2027-06-30pendingVera Rubin platform reaches general availability with cloud partner deployment
    How: Major hyperscaler (AWS / Azure / GCP / Oracle / CoreWeave) announces GA Vera Rubin instances available to enterprise customers
    Source: https://cloud.google.com/blog/products/compute/google-cloud-ai-infrastructure-at-nvidia-gtc-2026conf 85%
    Notes: Google Cloud already announced Vera Rubin partnership at GTC 2026. Hyperscaler GA likely H2 2026 / H1 2027.
  6. 2027-02-10pendingQ3 window check-in (75%)
  7. 2027-01-01 → 2027-12-31pendingNVIDIA agentic-AI revenue line crosses $10B annualized
    How: NVIDIA earnings discloses agentic-AI / Vera Rubin segment revenue at run-rate >=$10B (any form: dedicated segment, named customer wins, or analyst attribution accepted)
    Source: https://www.datacenterknowledge.com/data-center-chips/gtc-2026-nvidia-unveils-vera-rubin-ai-platform-eyes-1t-by-2027conf 55%
    Notes: Cascade — NVIDIA targets $1T data-center TAM by 2027. Agentic-AI sub-segment passing $10B is the validation marker.

What if this resolves?

Clamp this prediction TRUE or FALSE and run a counterfactual Gibbs sample. Surfaces the predictions whose marginals shift most under that assumption.
(live posterior: 75%)

Click a button to clamp this prediction and run a Gibbs sample. Returns the predictions whose marginals shift most. ~30s per run; ideal for stress-testing "if X resolves, what else moves?"

Evidence chain

Every probability update with full Bayesian provenance — chronological, latest first
metadata_milestone_miss_sweep2026-05-30T22:15:00Z74.8%-5.7pp
metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.748 blend=0.748 LLR=-0.327 κ=0.81 no_blend
Raw metadata
{
  "trf": 0.7943386939805607,
  "kappa": 0.8077,
  "base_rate": null,
  "predictor": "Jensen Huang",
  "total_llr": -0.4054651081081644,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": 1.417887059416365,
  "bayes_factor": "1.4:1 against",
  "blend_reason": "base_rate null",
  "inside_prior": 0.8050069602655182,
  "kappa_source": "predictor_table",
  "n_milestones": 1,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.8077,
      "label": "Q1 window check-in (25%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.32749416781896434,
      "expected_date": "2026-05-16",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.4439629142136075,
  "outside_weight": 0.5560370857863925,
  "posterior_prob": 0.7484556984365188,
  "posterior_logit": 1.0903928915974008,
  "predictor_brier": 0.01276,
  "inside_posterior": 0.7484556984365188,
  "blended_posterior": 0.7484556984365188,
  "reference_class_id": "ai_capability_milestone_2y",
  "total_adjusted_llr": -0.32749416781896434,
  "predictor_n_resolved": 8
}
LBP2026-05-24T02:00:02Z80.5%-8.2pp
Network propagation: 88.7% → 80.5%
4-iter LBP, residual 0.01000 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 806b02f8
intake_event_update2026-05-21T23:15:16Z88.7%+20.5pp
intake:7afeeb9a-f217-4dd2-b910-24ff14bdfc39 bayesian_v2 inside=0.887 blend=0.887 LLR=1.300 κ=0.81 no_blend
Raw metadata
{
  "trf": 0.806626974816466,
  "kappa": 0.8077,
  "base_rate": null,
  "predictor": "Jensen Huang",
  "total_llr": 1.6094379124341,
  "bayesian_v2": true,
  "prior_logit": 0.7639838710705575,
  "bayes_factor": "3.7:1 favoring",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.6822180497141727,
  "kappa_source": "predictor_table",
  "blend_applied": false,
  "contributions": [
    {
      "llr": 1.6094379124341,
      "kappa": 0.8077,
      "label": "Jensen explicitly anchored entire earnings narrative on agentic AI as primary demand driver.",
      "adjusted_llr": 1.299943001873023
    }
  ],
  "evidence_kind": "intake_event_update",
  "inside_source": "history_v2",
  "inside_weight": 1,
  "outside_weight": 0,
  "posterior_prob": 0.88734730573473,
  "evidence_origin": "daily_intake",
  "llm_suggestions": [
    {
      "polarity": "corroborates",
      "status_change": "unchanged",
      "evidence_strength": "strong",
      "delta_prob_suggestion": 0.07
    }
  ],
  "posterior_logit": 2.06392687294358,
  "predictor_brier": 0.01276,
  "evidence_doc_ids": [
    "1936"
  ],
  "inside_posterior": 0.88734730573473,
  "blended_posterior": 0.88734730573473,
  "reference_class_id": null,
  "total_adjusted_llr": 1.299943001873023,
  "predictor_n_resolved": 8
}
LBP2026-05-03T02:00:01Z68.2%-1.6pp
Network propagation: 69.8% → 68.2%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z69.8%-3.0pp
Network propagation: 72.8% → 69.8%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z72.8%-5.2pp
Network propagation: 78.0% → 72.8%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v1 · run 592311ef

Network propagation neighbors

Top edges sorted by latest LBP cross-impact
All propagation →

Top incoming (parents)

Edges that influence THIS node's belief

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
killerTK09
Energy Grid Cap (Data Center Power Wall)
35.0%0.0500.780-0.224
killerTK02
AI Compute Supply Shock (TSMC/Taiwan Disruption)
12.0%0.0500.780-0.056
killerTK11
Autonomous Regulatory Block (Level 4 Halt)
10.0%0.0500.780-0.041
killerTK06
China-Taiwan Military Conflict
8.0%0.0500.780-0.027

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

32 ticker(s) linked

Beneficiaries (24)

ALABAMBAARMCEVACRWVDOCNGTLBIRENNBISNVDASITMTSMANETNXPIAVGOGOOGLQCOMINTCSIEGYLNVGYMRVLDELLCSCOAMD

Adverse (4)

UBERPGRALLTRV

Prerequisites (4)

Predictions that must hit first
TypePredTitleDomainLag
killerTK09Energy Grid Cap (Data Center Power Wall)
killerTK02AI Compute Supply Shock (TSMC/Taiwan Disruption)
killerTK11Autonomous Regulatory Block (Level 4 Halt)
killerTK06China-Taiwan Military Conflict

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Validations (1)

Resolution events
Observed atStatusByNotes
2026-04-29partialthesis_timeline_v1.0_importNVIDIA NeMo Retriever / Agent Intelligence Toolkit (2025-2026); Vera CPU disclosed as Vera Rubin generation sidecar; CoWoS capacity reserved for paired silicon.

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.660arxivCA-AC-MPC: CUDA-Accelerated Actor-Critic Model Predictive Controlmentionspending2026-05-27
0.637github_releasefacebookresearch/habitat-sim v0.1.2mentionspending2019-06-14
0.635github_releasefacebookresearch/habitat-sim v0.1.6mentionspending2020-09-18
0.622github_releasefacebookresearch/habitat-lab v0.1.3mentionspending2019-10-14
0.620github_releasefacebookresearch/habitat-sim v0.1.3mentionspending2019-10-14
0.600github_releasefacebookresearch/habitat-sim v0.1.7mentionspending2021-01-29
0.598github_releasefacebookresearch/habitat-sim v0.1.5mentionspending2020-05-28
0.595github_releasefacebookresearch/habitat-lab v0.1.1mentionspending2019-04-05
0.579github_releasefacebookresearch/habitat-sim v0.2.4mentionspending2023-03-31
0.572github_releasefacebookresearch/habitat-sim v0.3.3mentionspending2026-02-12

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "agent-specialized rack",
  "mode": "FORECAST",
  "role": "Cited-CEO",
  "context": "Extends CMQ_026 (silicon roadmap), CMQ_030 (CPU drives agentic workloads), CMQ_044 (1:2 or 2:1 CPU:GPU for agents). NemoClaw and Vera CPU rack explicitly productize the agent-infrastructure thesis.",
  "to_year": 2027,
  "conv_cues": "named products; CEO FIRST_PERSON",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "2026-2027",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "NVIDIA officially launches Vera CPU rack purpose-built for agentic AI",
      "notes": "HIT — NVIDIA launched Vera CPU at GTC 2026. Vera CPU rack hosts 256 liquid-cooled CPUs sustaining 22,500 concurrent CPU environments for agents.",
      "source": "https://nvidianews.nvidia.com/news/nvidia-launches-vera-cpu-purpose-built-for-agentic-ai",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://nvidianews.nvidia.com/news/nvidia-launches-vera-cpu-purpose-built-for-agentic-ai",
      "expected_date": "2026-03-31",
      "observed_date": "2026-03-31",
      "research_origin": "deep_research",
      "measurement_criterion": "NVIDIA publicly announces Vera CPU rack at GTC 2026 or in newsroom press release as flagship agentic-AI hardware platform"
    },
    {
      "kind": "llm_pre_event",
      "label": "NVIDIA unveils Agent OS / NeMoClaw operating system for agents",
      "notes": "HIT — NVIDIA unveiled Agent OS NeMoClaw and the open-source NVIDIA Agent Toolkit at GTC 2026.",
      "source": "https://prosglobalinc.com/nvidia-gtc-2026-vera-rubin-ai-architecture/",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://prosglobalinc.com/nvidia-gtc-2026-vera-rubin-ai-architecture/",
      "expected_date": "2026-03-31",
      "observed_date": "2026-03-31",
      "research_origin": "deep_research",
      "measurement_criterion": "NVIDIA publicly unveils Agent OS branded as 'NeMoClaw' (or equivalent) as the OS layer for autonomous-agent deployment on Vera Rubin"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -4,
      "source_id": null,
      "expected_date": "2026-05-16",
      "observed_date": null,
      "miss_emitted_at": "2026-05-30T22:15:00.756418+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2026-09-28",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Vera Rubin platform reaches general availability with cloud partner deployment",
      "notes": "Google Cloud already announced Vera Rubin partnership at GTC 2026. Hyperscaler GA likely H2 2026 / H1 2027.",
      "source": "https://cloud.google.com/blog/products/compute/google-cloud-ai-infrastructure-at-nvidia-gtc-2026",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -2,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://cloud.google.com/blog/products/compute/google-cloud-ai-infrastructure-at-nvidia-gtc-2026",
      "expected_date": "2027-01-30",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-06-30",
        "from": "2026-09-01"
      },
      "measurement_criterion": "Major hyperscaler (AWS / Azure / GCP / Oracle / CoreWeave) announces GA Vera Rubin instances available to enterprise customers"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -1,
      "source_id": null,
      "expected_date": 
... (truncated)