Buildability / Receipt
Ragged Paged Attention: A High-Performance and Flexible LLM Inference Kernel for TPU
This public receipt window renders only fields present in the canonical receipt object, deterministic fixture receipt, or canonical evidence receipt. Missing compute, demo, hash, signature, approval, telemetry, and adoption fields stay explicit.
Public buildability page receipt window
Watch and verify: Ragged Paged Attention: A High-Performance and Flexible LLM Inference Kernel for TPU
/buildability/ragged-paged-attention-a-high-performance-and-flexible-llm-inference-kernel-for-tpu
Subject: Ragged Paged Attention: A High-Performance and Flexible LLM Inference Kernel for TPU
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Compute envelope
Data
Flexible LLM Inference Kernel for TPU Jevin Jiang jevinjiang@google.com Ying Chen chenyin@google.com Blake Hechtman blakehechtman@google.com Fenghui Zhang fhzhang@google
Compute
operations, which enable the overlapping of TensorCore computation with DMAs. This overlap is the primary mechanism for extracting hardware parallelism on TPUs. While Pallas provides high-level abstractions—such as block specifications—to automatically generate multi-buffered pipelines
Inference
operations, which enable the overlapping of TensorCore computation with DMAs. This overlap is the primary mechanism for extracting hardware parallelism on TPUs. While Pallas provides high-level abstractions—such as block specifications—to automatically generate multi-buffered pipelines
Hardware
operations, which enable the overlapping of TensorCore computation with DMAs. This overlap is the primary mechanism for extracting hardware parallelism on TPUs. While Pallas provides high-level abstractions—such as block specifications—to automatically generate multi-buffered pipelines
Evidence ids
Receipt path
/buildability/ragged-paged-attention-a-high-performance-and-flexible-llm-inference-kernel-for-tpu
Paper ref
ragged-paged-attention-a-high-performance-and-flexible-llm-inference-kernel-for-tpu
arXiv id
2604.15464
Freshness
Generated at
2026-04-20T20:24:20.774Z
Evidence freshness
stale
Last verification
2026-04-20T20:24:20.774Z
Sources
3
References
0
Coverage
50%
Hash state
Lineage hash
23143088a8871265dd37ba91ed0f53c0a6ae42f9d27ad87877d20eda9689ea9c
Canonical opportunity-kernel lineage hash.
Signature state
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Blockers
- Missing: repo_url
- Missing: references
- Missing: proof_status
- Unknown: proof verification has not been recorded yet
Some score or evidence fields are outside the preferred freshness window.
repo_url
references
Truth Boundary
External gate remains unresolved for live deployment claims.
Buildability surfaces only report computed viability and proof receipts. They do not claim live production usage, pilot outcomes, founder sign-off, public Brier calibration, judge divergence, or external adoption unless explicitly sourced.