docs(paged): record P6 fp8-KV BLOCKED-ON-INFRA + the analytical decode ceiling

P6 (final program phase) could not run its kill-gate: the DGX/GB10 was
unreachable for the entire window (cloudflared access via prem-vm returned
HTTP 530 / websocket bad-handshake on every probe; re-confirmed with 5 fresh
probes). Stage 0a (measured nsys graph-node decode ceiling) and Stage 0b
(fp8-e4m3 kernel + kill-gate A/B) were physically impossible with no GPU.

Records the honest infra-block (NOT a measured NO-GO, NOT a NO-GO-by-ceiling)
plus the load-bearing artifact: the analytical fp8-KV decode ceiling table.
fp8 halves KV bytes -> theoretical-max decode saving = 0.5 x flash-attn share:
ctx256 0.65% (standard shape hard NO-GO), ctx1024 2.55%, ctx2048 4.98% (first
crosses +3%), ctx4096 9.49%, ctx8192 17.34%. The win, if realizable, lives
only at ctx>=2048; the hybrid-GDN structure (10/40 layers carry KV, 30 GDN
layers hold fixed-size recurrent state with no KV) caps what any KV-dtype
lever can save. The dominant null stands unrefuted: Q8_0 KV was a measured
+7.8% decode regression on GB10. Notes the capacity-play framing (fp8-KV as a
memory feature remains open even if throughput-flat).

Fork localai-paged untouched at 653bb2f3d; series stays at 46 patches
(0001-0055); P3's p3-w4a16-direct work undisturbed. Docs-only; no code, no
topic branch, no patches. Not pushed.

Assisted-by: Claude:opus-4.8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
This commit is contained in:
Ettore Di Giacinto
2026-07-02 21:43:36 +00:00
parent 5b8b33a302
commit ac2b0211ff
2 changed files with 164 additions and 0 deletions

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@@ -826,6 +826,101 @@ largest prefill lever) as a shared-hardware / memory-bandwidth floor on GB10.**
- **Upstream-clash / rebase-safety:** `llama-kv-cache.cpp` is high-churn (7 patches);
keep the fp8 path additive and gate the dtype selection narrowly.
#### P6 RESULT (BLOCKED-ON-INFRA, recorded 2026-07-02, `LLAMA_KV_FP8` never built) - NOT a measured NO-GO; the analytical decode ceiling is recorded as the load-bearing artifact
P6 **did not run the kill-gate.** The DGX/GB10 - the only box with the GPU, the fork
(`localai-paged` `653bb2f3d`), and the models - was **unreachable for the entire P6
window** (P0 kill-gate session, build session, and this recording session). Its sole
access path (cloudflared `access ssh` via `prem-vm` -> `jp-6.prem.io/c1f2af2fae580`)
returned **HTTP 530 / "websocket: bad handshake" / "Connection closed by UNKNOWN port
65535" on every probe** (10+ attempts across sessions; re-confirmed 2026-07-02 with 5
fresh probes). No tailscale, no alternate alias resolves, and this recording box
(`mudler-ubuntu-box`) has **no GPU** (`nvidia-smi` absent) and no local fork checkout.
Therefore **Stage 0a** (measured nsys `--cuda-graph-trace=node` decode ceiling) and
**Stage 0b** (fp8-e4m3 kernel + kill-gate A/B) **were physically impossible.** `go=false`
was set **because the kill-gate could not execute**, and `stopped_at_ceiling=false`
**because the analytical ceiling does not uniformly kill the lever** (it survives at long
context). **This is an honest infra-block, not a measured NO-GO and not a NO-GO-by-ceiling.**
- **THE ANALYTICAL DECODE CEILING (the valuable artifact; ESTIMATES, UNMEASURED).** From
the HNP decode decomposition in [`VLLM_PARITY_FINAL.md`](VLLM_PARITY_FINAL.md) 2b plus
the flash-attn ~14 us/tok / ~1.3% prior. The decode step is ~1082 us/tok GPU-steady, of
which **~1068 us is context-INDEPENDENT** (GDN scan 553, NVFP4 expert GEMM 254, bf16
proj 73, elementwise 57, ssm conv 31) and **only flash-attn is LINEAR in context.**
fp8-e4m3 halves the KV bytes, so the **theoretical-MAX decode saving = 0.5 x
fa_kvread_share** (perfect BW halving, zero dequant cost, fa 100% KV-read-bound):
| context | flash-attn share of decode | fp8-KV theoretical-max decode saving | verdict |
|---:|---:|---:|---|
| 256 | 1.3% | **0.65%** | standard serving shape - hard NO-GO |
| 1024 | 5.0% | **2.55%** | still under the +3% GO bar |
| 2048 | 9.5% | **4.98%** | first shape that crosses +3% |
| 4096 | 17.3% | **9.49%** | long context |
| 8192 | 29.6% | **17.34%** | long context |
So **any realizable win lives ONLY at ctx >= 2048**; standard serving shapes (ctx ~256,
npl 128/256) are a **definitive ceiling NO-GO** (0.65% << +3%). This matches lever-map
B2 ("gain medium-high for long-context/high-concurrency decode; watch long-context recall").
- **HYBRID-GDN STRUCTURAL CAP (why the ceiling is this low).** q36 is hybrid GDN: **only
10 of 40 layers are full attention and carry a KV cache**; the other **30 layers are GDN
with a fixed-size recurrent state and NO KV** (state does not grow with context). So KV
read is 10 layers' worth, and fp8 can only touch that 10/40 slice - it cannot move the
30 GDN layers at all. This structurally caps what any KV-dtype lever can save on this
model family and is the reason flash-attn is such a small decode fraction at modest context.
- **THE DOMINANT NULL STANDS UNREFUTED (what Stage 0b would have had to beat).** The
ceiling above is a **theoretical MAX**; the realized A/B = ceiling **minus**
fp8-dequant-in-attention cost **minus** the non-KV-read part of flash-attn (query /
softmax / output) **minus** the paged block-table gather indirection. **Q8_0 KV-quant was
MEASURED as a +7.8% decode REGRESSION on GB10** (2026-06-23, dense-32B era) where
flash-attn was an even LARGER decode fraction (all-attention model) - i.e. dequant cost
exceeded the BW saving even in a more favorable fraction regime. fp8-e4m3's only edge is
its **cheaper hw-convert dequant** vs Q8_0's int8+scale, plus the fact that **vLLM ships
fp8-e4m3 KV on this exact model** (`hf_quant_config` kv_cache FP8) **with no visible
penalty** - so the mechanism is sound in principle. Whether OUR fa/paged-attn path
realizes it on GB10 long-ctx shapes is **exactly what Stage 0a/0b must MEASURE**, and the
null predicts the realized residual may go **negative even at long context**.
- **THE CAPACITY-PLAY FRAMING (this remains OPEN).** fp8-e4m3 KV as a **throughput** lever
is a ceiling NO-GO at standard shapes and null-dominated at long ctx. But as a **memory /
capacity** feature it is a different, un-run gate: halving the stored KV bytes for the
10/40 attention layers is a **real long-context / high-concurrency capacity win**
(more sequences or longer contexts per fixed VRAM) that does not depend on a throughput
delta. That gate is **footprint, not t/s**, and was not P6's kill-gate. **fp8-KV as a
capacity feature stays open for a future capacity-motivated effort even if
throughput-flat.**
- **DEFAULT PATH: PROVABLY UNDISTURBED, NOT RE-VERIFIED THIS SESSION.** No P6 code was
written, so there is **provably zero diff** vs `653bb2f3d` and zero overlap with P3's
`w4a16*` / `mmq*` files. The canonical md5s (MoE `8cb0ce23777bf55f92f63d0292c756b0`,
dense `5951a5b4d624ce891e22ab5fca9bc439`) are documented **green-with-code-present from
prior phases**, but were **NOT rebuilt or re-run this session** (no GPU); recorded as
such rather than overclaimed.
- **Provenance.** **No `p6-fp8-kv` topic branch was created** (DGX down). Fork
`localai-paged` HEAD **untouched at `653bb2f3d`**; the LocalAI series **stays at 46
patches (`0001-0055`)**; P3's `p3-w4a16-direct` work is **untouched**. The only P6
artifacts are **local-only staging scripts** (not on the DGX):
`scratchpad/p6_stage0a_ceiling.sh` (staged Stage 0a nsys difference-method profiler,
standard npp512/npl128 + long-ctx npp4096/8192 x npl8/32, both models, honors the shared
GPU lock) and `scratchpad/p6_ceiling_extract.py` (fa-bucket difference-method analyzer).
`~/bench/p6_fp8_kv/` was never created.
- **HANDOFF (box-up required to close).** (1) scp `p6_stage0a_ceiling.sh` +
`p6_ceiling_extract.py` to the DGX. (2) `git -C ~/llama-paged-fork worktree add
~/llama-paged-p6 -b p6-fp8-kv 653bb2f3d` (SEPARATE worktree - never collide with P3's
checkout on `p3-w4a16-direct`), build `~/llama-paged-p6/build-cuda` unmodified (sm_121a,
nohup+poll), share `~/gpu_bench_lock` politely with P3. (3) Run Stage 0a measured nsys
graph-node decode profiles at standard + long-ctx shapes on both models; emit the
**measured** ceiling table. (4) Decision rule: measured long-ctx ceiling **< +3% at all
realistic shapes -> NO-GO-BY-CEILING**, record, stop; else **Stage 0b** fp8-e4m3 behind
`LLAMA_KV_FP8=1` with **static** per-tensor/per-head scales, dequant **FUSED** in the
fa/paged-attn read (the P5 lesson: no extra pass), per-kernel numeric validation, then
the kill-gate A/B at the long-ctx shapes with **per-path KL** (paged AND non-paged, both
models, band KLD delta < 0.01 + same-top-p >= 84%) + default md5 + test-backend-ops.
Number the series **dynamically at land time** (P3 may land 0056+ first).
---
## 4. Program-level arithmetic (if all phases land)

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@@ -2648,3 +2648,72 @@ spp_fla.txt, `nsys_{ctrl,fla}{2048,512}.{nsys-rep,kern.csv}`, GATES.txt,
`kl_moe_{ctrl,fla}.log`, occupancy.txt, gdn-blocked-solve.cu, p5_fla_test.cu) and
`standalone_20260702_203434/` (RESULTS.txt + p5_fla_test.cu, p5_m5_time.cu,
m5_kernel_body.cuh).
## P6 fp8-e4m3 KV cache (final program phase) - BLOCKED-ON-INFRA; kill-gate never ran; the analytical decode ceiling is the recorded artifact (recorded 2026-07-02)
Sixth and final phase of the `EXECUTION_REARCH_SCOPE.md` additive program. **It did not
run the kill-gate.** The DGX/GB10 - the only box with the GPU, the fork (`localai-paged`
`653bb2f3d`), and the models - was **unreachable for the entire P6 window** (P0 session,
build session, and this recording session). Its sole access path (cloudflared `access
ssh` via `prem-vm` -> `jp-6.prem.io/c1f2af2fae580`) returned **HTTP 530 / "websocket: bad
handshake" / "Connection closed by UNKNOWN port 65535" on every probe** (10+ attempts
across sessions; re-confirmed 2026-07-02 with 5 fresh probes). This recording box
(`mudler-ubuntu-box`) has **no GPU** and no local fork checkout, so **Stage 0a** (measured
nsys `--cuda-graph-trace=node` decode ceiling) and **Stage 0b** (fp8-e4m3 kernel +
kill-gate A/B) were **physically impossible.** `go=false` because the gate could not
execute; `stopped_at_ceiling=false` because the analytical ceiling does not uniformly kill
the lever. **This is an honest infra-block, NOT a measured NO-GO and NOT a
NO-GO-by-ceiling.** See the "P6 RESULT" subsection in `EXECUTION_REARCH_SCOPE.md` for the
full record. Summary:
- **THE ANALYTICAL DECODE CEILING (the valuable artifact; ESTIMATES, UNMEASURED).** From
the HNP decode decomposition (`VLLM_PARITY_FINAL.md` 2b) + the flash-attn ~14 us/tok /
~1.3% prior. Decode step ~1082 us/tok GPU-steady, of which **~1068 is context-INDEPENDENT**
(GDN scan 553, NVFP4 expert GEMM 254, bf16 proj 73, elementwise 57, ssm conv 31); **only
flash-attn is LINEAR in context.** fp8-e4m3 halves KV bytes -> theoretical-MAX decode
saving = **0.5 x fa_kvread_share**: **ctx256 0.65%** (standard shape - hard NO-GO),
**ctx1024 2.55%**, **ctx2048 4.98%** (first crosses +3%), **ctx4096 9.49%**, **ctx8192
17.34%.** Any realizable win lives **ONLY at ctx >= 2048**; standard serving shapes
(ctx ~256, npl 128/256) are a **definitive ceiling NO-GO.** Matches lever-map B2.
- **HYBRID-GDN STRUCTURAL CAP.** q36 is hybrid GDN: **only 10 of 40 layers are full
attention with KV**; the other **30 are GDN** with a fixed-size recurrent state and **NO
KV** (does not grow with context). fp8 can only touch the 10/40 KV slice - it cannot move
the 30 GDN layers, which is why flash-attn is such a small decode fraction at modest ctx.
- **THE DOMINANT NULL STANDS UNREFUTED.** The ceiling is a theoretical MAX; realized A/B =
ceiling minus fused-dequant-in-attention cost minus non-KV-read flash-attn minus paged
block-table gather indirection. **Q8_0 KV was a MEASURED +7.8% decode REGRESSION on
GB10** (2026-06-23, dense-32B era) where flash-attn was a LARGER decode fraction - dequant
cost exceeded the BW saving even in a more favorable regime. fp8-e4m3's only edge is its
cheaper hw-convert dequant plus **vLLM shipping fp8-e4m3 KV on this exact model without
visible penalty** (mechanism sound in principle). Whether OUR fa/paged-attn path realizes
it on GB10 long-ctx shapes is exactly what Stage 0a/0b must MEASURE; the null predicts the
residual may go **negative even at long context.**
- **CAPACITY-PLAY FRAMING (remains OPEN).** As a **throughput** lever fp8-KV is a ceiling
NO-GO at standard shapes and null-dominated at long ctx. As a **memory / capacity**
feature it is a different, un-run gate: halving stored KV bytes for the 10/40 attention
layers is a real long-context / high-concurrency capacity win (more sequences or longer
contexts per fixed VRAM), independent of any throughput delta. **fp8-KV as a capacity
feature stays open for a future capacity-motivated effort even if throughput-flat.**
- **DEFAULT PATH: PROVABLY UNDISTURBED, NOT RE-VERIFIED THIS SESSION.** No P6 code exists,
so there is provably zero diff vs `653bb2f3d` and zero overlap with P3's `w4a16*`/`mmq*`
files. Canonical md5s (MoE `8cb0ce23777bf55f92f63d0292c756b0`, dense
`5951a5b4d624ce891e22ab5fca9bc439`) are documented green-with-code-present from prior
phases but were NOT rebuilt/re-run this session (no GPU); recorded as such, not overclaimed.
Provenance: **no `p6-fp8-kv` topic branch created** (DGX down). Fork `localai-paged` HEAD
**untouched at `653bb2f3d`**; the LocalAI series **stays at 46 patches (`0001-0055`)**;
P3's `p3-w4a16-direct` work **untouched**. The only P6 artifacts are **local-only staging
scripts** (not on the DGX): `scratchpad/p6_stage0a_ceiling.sh` (staged Stage 0a nsys
difference-method profiler: standard npp512/npl128 + long-ctx npp4096/8192 x npl8/32, both
models, honors the shared GPU lock) and `scratchpad/p6_ceiling_extract.py` (fa-bucket
analyzer). `~/bench/p6_fp8_kv/` was never created. HANDOFF (box-up required): scp the two
scripts to the DGX; `git -C ~/llama-paged-fork worktree add ~/llama-paged-p6 -b p6-fp8-kv
653bb2f3d` (SEPARATE worktree, no collision with P3's checkout); build unmodified (sm_121a,
nohup+poll), share `~/gpu_bench_lock` politely with P3; run Stage 0a measured graph-node
decode profiles at standard + long-ctx shapes on both models; if the measured long-ctx
ceiling stays < +3% at all realistic shapes -> NO-GO-BY-CEILING, record, stop; else Stage
0b fp8-e4m3 behind `LLAMA_KV_FP8=1` with **static** per-tensor/per-head scales, dequant
**FUSED** in the fa/paged-attn read (the P5 lesson), then the kill-gate A/B at long-ctx with
per-path KL (paged AND non-paged, both models, KLD delta < 0.01 + same-top-p >= 84%) +
default md5 + test-backend-ops. Number the series dynamically at land time (P3 may land
0056+ first).