Pith Number

pith:VYQ6ZLU2

pith:2026:VYQ6ZLU2NO4N4QFQMFFU5OKCHC

not attested not anchored not stored refs resolved

Battery-Assisted Operation of Hyperscale AI Data Centers under Connect-and-Manage Interconnection Practices

Jiafeng Lin, Jing Qiu, Junhua Zhao, Mingyang Sun, Sihai An, Xin Lu

Battery storage lets hyperscale AI data centers commit more workload day-ahead while staying robust to grid power limits.

arxiv:2605.14105 v1 · 2026-05-13 · eess.SY · cs.SY

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\usepackage{pith}
\pithnumber{VYQ6ZLU2NO4N4QFQMFFU5OKCHC}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

BESS substantially increases credible day-ahead workload commitment and improves real-time delivery robustness under transmission congestion.

C2weakest assumption

The continuity-aware energy-computation model accurately captures checkpoint-constrained AI training workloads, IT power-throughput characteristics, and IT-cooling thermal dynamics under the imposed PCC envelopes.

C3one line summary

On-site battery storage enables higher day-ahead AI workload commitments and real-time robustness for hyperscale data centers by buffering against time-varying grid power exchange limits.

References

27 extracted · 27 resolved · 0 Pith anchors

[1] NVIDIA Launches Omniverse DSX Blueprint, Enabling Global AI Infrastructure Ecosystem to Build Gigawatt-Scale AI Factories, 2025

[2] Electricity demand and grid impacts of ai data centers: Challenges and prospects 2025

[3] I. E. Agency, AI is set to drive surging electricity demand from data centres while offering the potential to transform how the energy sector works, IEA News Release, 2025 2025

[4] Sustainable electrification in the era of AI, 2024

[5] PJM Board Outlines Plans To Integrate Large Loads Reliably, 2026

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-17T23:39:12.057453Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

ae21ecae9a6bb8de40b0614b4eb942389aca9152815840d83b33f455c32a94fd

Aliases

arxiv: 2605.14105 · arxiv_version: 2605.14105v1 · doi: 10.48550/arxiv.2605.14105 · pith_short_12: VYQ6ZLU2NO4N · pith_short_16: VYQ6ZLU2NO4N4QFQ · pith_short_8: VYQ6ZLU2

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/VYQ6ZLU2NO4N4QFQMFFU5OKCHC \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: ae21ecae9a6bb8de40b0614b4eb942389aca9152815840d83b33f455c32a94fd

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "a6d4a6723156a8624877243866ba0433cc8db4fe7fc689d4044c52aa15177e0f",
    "cross_cats_sorted": [
      "cs.SY"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "eess.SY",
    "submitted_at": "2026-05-13T20:44:40Z",
    "title_canon_sha256": "661fc6f84aa8b85d79a42e2fb5330576a3b28de63bb69ca0fe3594535e7a4249"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.14105",
    "kind": "arxiv",
    "version": 1
  }
}