Live · refreshes every 20 s · all training runs · the RTX 3090

Coppelius training on the GB10.

A 57.7-million-parameter language model training on the DGX Spark through the Alpha compiler alone: a host executable and sm_121 kernels the compiler lowers from Coppelius's own programs, with no CUDA runtime in the path. Every figure below is read from the run's own records: the result files, the device's semaphore timestamps, the per-launch profile of the profiled build and the samplers on the machine.

Run gb10-run16 · polled 2026-09-27 01:43:57 UTC

finished

1000 of 1000 invocations · 275.4 min since the start

The last poll failed (2026-09-27T23:02:15Z); the figures below are from the last successful poll.

Launch profiles · submission 334 of each profiled build, timed by the device's own semaphores

Where a step's time goes

One training step of each profiled build, every launch bracketed by timestamped releases.

RunStepLaunches
run13128.21 ms4223
run1675.96 ms1382
run1751.83 ms1155
run1946.70 ms947
run2145.35 ms866
run2242.83 ms866
run2336.12 ms658
run2537.22 ms658
run25: kernel families
Familyms a stepShareLaunches
GEMM (tiled)12.3633.2%243
adamw8.1421.9%1
attention-key2.647.1%16
gated-gelu-backward1.965.3%16
attention-query1.614.3%16
transpose1.393.7%64
layernorm-parameters1.343.6%33
attention-forward1.223.3%16
layernorm-backward1.032.8%33
cast-down0.992.7%66
embedding-scatter0.782.1%1
gated-gelu-forward0.701.9%16
add0.621.7%32
layernorm-forward0.601.6%33
inverse-rope-qkv0.451.2%16
cross-entropy-backward0.431.1%1
value-transpose0.350.9%16
cross-entropy0.280.7%1
qk-rope0.190.5%16
token-to-head0.100.3%16
gather0.030.1%1
copy0.010.0%4
loss-target-gather0.000.0%1
run25: tiled products (µs a launch, TFLOP/s)
PhaseShapeµsTFLOP/s× a step
layertiled-rr-m1024-n1408-k51253.627.632
ffn-gatetiled-cc-m1408-n512-k102439.937.032
layertiled-rr-m1024-n1536-k51266.024.416
ffn-downtiled-rc-m1024-n1408-k51263.823.116
qkvtiled-cc-m1536-n512-k102458.627.516
ffn-downtiled-cc-m512-n1408-k102457.425.716
layertiled-rr-m1024-n512-k1408-add55.326.716
qkvtiled-rc-m1024-n512-k153649.332.616
ffn-gatetiled-rc-m1024-n512-k1408-add46.531.716
ffn-gatetiled-rc-m1024-n512-k140839.437.516
outputtiled-rr-m1024-n12288-k512469.727.41
attention-outputtiled-rc-m1024-n512-k51228.518.916
layertiled-rr-m1024-n512-k512-add27.219.816
attention-outputtiled-cc-m512-n512-k102423.522.916
output-gradienttiled-rc-m1024-n512-k12288340.037.91
output-gradienttiled-cc-m12288-n512-k1024311.741.31
Tokens per second27,581end to end, last 20 invocations; 27,581/s during the updates on the GPU
Loss on an unseen context5.331mean of the last 10; the first ten averaged 8.113
Loss after ten steps5.173invocation 999
Best unseen-context loss4.096a fresh model: 9.416
AdamW steps100001000 of 1000 invocations
Tokens trained on10,240,000ten passes over 1,024 per invocation
Seconds per invocation0.37device busy 0.37 s
GPU utilization0%last minute's average
Power12.3 Wpeak 12.4 W
Temperature48 °Cmax 48 °C

Prompt probe

What the model says next

A predict invocation of a saved checkpoint on a context whose text ends with the prompt at rows 255, 511 and 1023; each row gives the model's most likely next token after a different stretch of preceding text. Probes run between training runs: the GPU runs one invocation at a time.

No probe yet.

Loss

Cross-entropy at every AdamW step

Mean over the 1,024 rows of each step's context; the band is the 10th–90th percentile across rows. The first step of an invocation is scored on a context the model has not trained on (dots), so its fall is learning rather than memorization. Dashed: ln 12,288 = 9.416, a model that knows nothing.

every stepp10–p90 across rowsfirst step (unseen context)unseen, 20-invocation average

0.005.0010.00200040006000800010000

Fitting the context

Loss fall from step 1 to step 10 within each invocation.

-1.000.001.000200400600800

Per-row spread at the last step

Minimum, median and maximum per-row loss.

minmedianmax

0.010.020.00200400600800

Sampled rows before training

Cross-entropy at rows 255, 511 and 1023 on the state each invocation starts from, and row 1023 after its ten steps.

25551110231023 after

no data yet

Prediction entropy

Row 1023's next-token entropy before and after each invocation, nats; ln 12,288 when every token is equally likely.

beforeafter

no data yet

Invocation inspector

One invocation, every field

Loading invocation 999…

Device timing

On the GPU's own clock

Every submission's pre-launch and fence semaphore releases carry the device's timestamps. Submission 333 is the forward pass, 334–343 the ten AdamW updates, 344 the forward pass after them; the rest move the checkpoint in and out.

Device time per invocation, seconds

ten updatesforward passescheckpoint load and gatherwall clock

0.00.10.20.30200400600800

Tokens per second

Ten steps on 1,024 tokens per invocation: over the wall clock (checkpoint in and out included), and over the ten update submissions on the GPU.

during the updates, GPU clockend to end, wall clock

010,00020,0000200400600800

One AdamW update, milliseconds

Mean of the ten update submissions; band: their range.

363738390200400600800

Submission timeline, invocation 999

0 submissions; each bar is one submission's device time in milliseconds, log scale.

no data yet

Host doorbell to wake-up, milliseconds

Per invocation, over the host-stamped submissions.

medianmax

no data yet

Optimizer internals

The token embedding, read back from the device

L2 norms of the first 1,024 scalars of the embedding's last-step gradient, its parameters and AdamW's first moment after each invocation, and a count of non-finite values in those windows.

Gradient

no data yet

Parameters

no data yet

AdamW first moment

no data yet

Non-finite values

001110200400600800

GPU telemetry

nvidia-smi, per minute

Sampled every second; line: the minute's average, band: its range. The GB10 shares the host's memory, so it reports no frame-buffer figure.

Utilization, %

025507510017:0817:5818:4819:3820:2821:18

Power, W

020406017:0817:5818:4819:3820:2821:18

Temperature, °C

50607017:0817:5818:4819:3820:2821:18

SM clock, MHz

2380240017:0817:5818:4819:3820:2821:18

Memory-controller utilization, %

025507510017:0817:5818:4819:3820:2821:18

Performance state and clock events

P-state (0 is maximum performance) and whether any clock-event reason (throttling) was active.

P-stateclock event active

0112217:0817:5818:4819:3820:2821:18

Host telemetry

The Grace CPU running the AArch64 host

Load average, 1 min

0.00.51.01.517:0817:5818:4819:3820:2821:18

Memory available, GB

60.080.017:0817:5818:4819:3820:2821:18

Host process resident memory, MB

0.010.017:0817:5818:4819:3820:2821:18

Host process CPU, %

0.020.040.017:0817:5818:4819:3820:2821:18

Channel health

Every invocation's exit, notifier and numerics

One cell per planned invocation: exit 0 with a clear error notifier, an all-zero host status block and a finite loss; a failure or a non-finite loss; pending.

Checkpoint lineage

Every invocation, newest first

Each invocation resumes the checkpoint the one before wrote. Predictions are the argmax at rows 255, 511 and 1023 on the state the invocation started from; truth is the real next token.

kStepsUnseen lossStep 10Wall sDevice sCheckpoint SHA-256PredictionsTruth
9999991–100005.8385.1730.370.37—…
9989981–99905.2715.4060.370.37—…
9979971–99805.5235.5340.370.37—…
9969961–99705.4025.3830.370.37—…
9959951–99605.2275.6390.370.37—…
9949941–99505.1215.5000.370.37—…
9939931–99405.1465.0800.370.37—…
9929921–99305.0365.2940.370.37—…
9919911–99205.5255.2280.370.37—…
9909901–99105.2175.4030.370.37—…
9899891–99005.7495.4920.370.37—…
9889881–98905.5375.8710.370.37—…
9879871–98805.3795.7940.370.37—…
9869861–98705.0844.8850.370.37—…
9859851–98605.4025.2350.370.37—…
9849841–98505.4305.5470.370.37—…
9839831–98405.6035.3980.370.37—…
9829821–98305.7695.5770.370.37—…
9819811–98205.4215.2710.370.37—…
9809801–98105.4745.4330.370.37—…
9799791–98005.7085.2260.370.37—…
9789781–97905.1765.4660.370.37—…
9779771–97805.4505.0700.370.37—…
9769761–97705.1165.2470.370.37—…
9759751–97605.4235.0820.370.37—…
9749741–97505.2915.5370.370.37—…
9739731–97405.2355.3290.370.37—…
9729721–97305.2724.9980.370.37—…
9719711–97205.0585.2440.370.37—…
9709701–97105.8655.4650.370.37—…
9699691–97005.3345.7480.370.37—…
9689681–96905.4485.4690.370.37—…
9679671–96805.3725.5050.370.37—…
9669661–96705.1755.5250.370.37—…
9659651–96605.2175.1380.370.37—…
9649641–96505.4755.3660.370.37—…
9639631–96404.9125.2460.370.37—…
9629621–96305.4505.4870.370.37—…
9619611–96205.2765.7250.370.37—…
9609601–96105.3385.0690.370.37—…
9599591–96005.3565.3480.370.37—…
9589581–95904.9985.5330.370.37—…
9579571–95805.5275.3840.370.37—…
9569561–95705.3825.5290.370.37—…
9559551–95605.3925.6870.370.37—…
9549541–95505.0685.1160.370.37—…
9539531–95405.4055.0270.370.37—…
9529521–95305.2945.5210.370.37—…
9519511–95205.0695.2380.370.37—…
9509501–95105.3185.3610.370.37—…
9499491–95005.3545.3560.370.37—…
9489481–94905.4235.3110.370.37—…
9479471–94804.8925.5740.380.38—…
9469461–94705.4015.2020.370.37—…
9459451–94605.2005.4510.370.37—…
9449441–94505.1245.1650.370.37—…
9439431–94405.0335.0380.370.37—…
9429421–94305.3755.5450.370.37—…
9419411–94205.4995.5610.370.37—…
9409401–94105.5815.7050.370.37—…
9399391–94005.3525.1830.370.37—…
9389381–93905.3345.4010.370.37—…
9379371–93805.4345.3440.370.37—…
9369361–93705.2565.6920.370.37—…
9359351–93605.1835.2840.370.37—…
9349341–93505.3305.4910.370.37—…
9339331–93404.5935.0970.370.37—…
9329321–93305.4834.8870.370.37—…
9319311–93205.4485.1410.370.37—…
9309301–93105.4615.4040.370.37—…
9299291–93005.3565.0800.370.37—…
9289281–92904.7525.2970.370.37—…
9279271–92805.6284.9260.370.37—…
9269261–92705.9935.6910.370.37—…
9259251–92605.6205.6930.370.37—…
9249241–92505.3155.4850.370.37—…
9239231–92405.6665.2500.370.37—…
9229221–92305.6395.5010.370.37—…
9219211–92205.6065.4740.370.37—…
9209201–92105.0665.5630.370.37—…
9199191–92005.2825.5440.370.37—…
9189181–91905.4385.4220.370.37—…
9179171–91804.9285.4340.370.37—…
9169161–91705.2334.9120.370.37—…
9159151–91605.6565.4060.370.37—…
9149141–91504.0965.5520.380.38—…
9139131–91405.8114.4730.370.37—…
9129121–91305.3585.4620.370.37—…
9119111–91205.8115.3810.370.37—…
9109101–91105.3095.2250.370.37—…
9099091–91005.3625.2050.380.38—…
9089081–90905.6415.1970.370.37—…
9079071–90805.5635.4380.370.37—…
9069061–90705.2965.3240.370.37—…
9059051–90605.5645.4730.370.37—…
9049041–90505.3525.0350.370.37—…
9039031–90405.5145.7850.370.37—…
9029021–90305.6255.2350.370.37—…
9019011–90205.4865.2770.370.37—…
9009001–90105.7955.6280.370.37—…
8998991–90005.1515.5140.370.37—…
8988981–89905.7825.5260.370.37—…
8978971–89805.1155.2940.370.37—…
8968961–89705.3225.6140.370.37—…
8958951–89605.4565.4940.370.37—…
8948941–89505.6975.2260.370.37—…
8938931–89405.3865.5360.370.37—…
8928921–89305.4325.5950.370.37—…
8918911–89205.3825.5530.370.37—…
8908901–89105.3805.5290.370.37—…
8898891–89005.7725.5940.370.37—…
8888881–88905.2025.5740.370.37—…
8878871–88806.1575.5270.370.37—…
8868861–88705.4435.6090.370.37—…
8858851–88605.3245.1260.370.37—…
8848841–88505.4525.3810.380.38—…
8838831–88405.4565.1290.370.37—…
8828821–88305.5425.4240.370.37—…
8818811–88204.9995.1640.370.37—…
8808801–88105.2645.3210.370.37—…
8798791–88005.7244.7510.370.37—…
8788781–87905.4985.7420.370.37—…
8778771–87805.4405.6890.370.37—…
8768761–87705.4845.4850.370.37—…
8758751–87605.4555.4910.370.37—…
8748741–87505.4435.5140.370.37—…
8738731–87405.3695.4310.370.37—…
8728721–87305.3485.2920.370.37—…
8718711–87205.5895.3060.380.38—…
8708701–87105.4945.7250.370.37—…
8698691–87004.9635.4610.370.37—…
8688681–86905.3674.7370.370.37—…
8678671–86805.1555.2620.370.37—…
8668661–86705.4945.6260.370.37—…
8658651–86605.3975.5970.370.37—…
8648641–86504.8475.2370.370.37—…
8638631–86405.3175.5770.370.37—…
8628621–86304.9245.1500.370.37—…
8618611–86205.6124.7900.370.37—…
8608601–86105.3405.4970.370.37—…
8598591–86005.5695.4900.370.37—…
8588581–85905.7855.4230.380.38—…
8578571–85805.4385.7780.370.37—…
8568561–85706.0965.5940.370.37—…
8558551–85605.5086.1330.370.37—…
8548541–85505.4535.5820.370.37—…
8538531–85405.3675.6910.370.37—…
8528521–85305.7505.5770.370.37—…
8518511–85205.4365.8280.370.37—…
8508501–85105.7075.3300.370.37—…
8498491–85005.8625.6080.370.37—…
8488481–84905.2325.3800.370.37—…
8478471–84805.2265.0550.370.37—…
8468461–84705.2535.4720.370.37—…
8458451–84605.0295.3440.370.37—…
8448441–84505.3985.4810.370.37—…
8438431–84405.1435.4640.370.37—…
8428421–84305.5205.4100.370.37—…
8418411–84205.4675.6610.370.37—…
8408401–84105.5975.6630.370.37—…
8398391–84005.6215.5460.370.37—…
8388381–83905.5955.5910.370.37—…
8378371–83805.5225.1510.370.37—…
8368361–83705.3745.9120.370.37—…
8358351–83605.3195.4450.370.37—…
8348341–83505.3964.7950.370.37—…
8338331–83405.2805.5330.370.37—…
8328321–83305.5185.2380.370.37—…
8318311–83205.4165.6500.370.37—…
8308301–83105.4475.4010.370.37—…
8298291–83005.4405.2670.370.37—…
8288281–82905.4405.6450.370.37—…
8278271–82805.1545.7860.370.37—…
8268261–82705.4245.3410.370.37—…
8258251–82605.6275.4760.370.37—…
8248241–82505.7045.3610.370.37—…
8238231–82405.4225.2420.370.37—…
8228221–82305.5475.5370.370.37—…
8218211–82205.0015.1990.370.37—…
8208201–82105.5415.5490.370.37—…
8198191–82005.1515.3390.370.37—…
8188181–81905.6485.4410.370.37—…
8178171–81805.4055.1190.370.37—…
8168161–81705.3225.2990.370.37—…
8158151–81605.3415.5040.370.37—…
8148141–81505.3365.6690.370.37—…
8138131–81405.0595.6050.370.37—…
8128121–81305.4205.2940.370.37—…
8118111–81205.8055.6380.370.37—…
8108101–81105.4115.6570.370.37—…
8098091–81005.1955.5660.370.37—…
8088081–80905.5815.1640.370.37—…
8078071–80805.6435.8630.370.37—…
8068061–80705.6355.4850.370.37—…
8058051–80605.7925.4590.370.37—…
8048041–80506.0055.7840.370.37—…
8038031–80405.4685.3890.370.37—…
8028021–80305.7015.5920.370.37—…
8018011–80204.8225.3340.370.37—…
8008001–80104.8754.6810.370.37—…
7997991–80005.4675.1300.370.37—…
7987981–79905.5045.3940.370.37—…
7977971–79805.4575.6870.370.37—…
7967961–79705.5165.4120.370.37—…
7957951–79605.5195.4470.370.37—…
7947941–79505.2785.5460.370.37—…
7937931–79405.3665.6690.370.37—…
7927921–79305.5645.3670.380.38—…
7917911–79205.2885.4080.370.37—…
7907901–79105.3305.4680.370.37—…
7897891–79005.7375.3540.370.37—…
7887881–78905.4605.6950.370.37—…
7877871–78805.5155.4740.370.37—…
7867861–78705.4645.4590.380.38—…
7857851–78605.8665.4130.370.37—…
7847841–78505.5675.8170.370.37—…
7837831–78405.8915.6410.370.37—…
7827821–78305.6615.9110.370.37—…
7817811–78205.2665.6010.370.37—…
7807801–78105.5335.7100.370.37—…
7797791–78005.4825.1940.370.37—…
7787781–77905.3565.6580.370.37—…
7777771–77805.2455.5930.370.37—…
7767761–77705.5405.4460.370.37—…
7757751–77605.8465.5270.370.37—…
7747741–77505.3345.4630.370.37—…
7737731–77405.4875.7300.370.37—…
7727721–77305.4065.6740.370.37—…
7717711–77205.6915.4760.370.37—…
7707701–77105.5205.3610.370.37—…
7697691–77005.2495.1850.370.37—…
7687681–76905.7405.6280.370.37—…
7677671–76805.4575.7630.370.37—…
7667661–76705.6485.7860.370.37—…
7657651–76605.4835.9430.370.37—…
7647641–76505.4875.6640.370.37—…
7637631–76405.4965.6320.370.37—…
7627621–76305.3405.2730.370.37—…
7617611–76205.8465.5160.370.37—…
7607601–76105.5705.7880.370.37—…
7597591–76005.8205.6850.370.37—…
7587581–75905.8485.6640.370.37—…
7577571–75805.4125.2360.370.37—…
7567561–75705.6905.7100.370.37—…
7557551–75605.1295.4200.370.37—…
7547541–75505.7165.3570.370.37—…
7537531–75405.1245.5720.370.37—…
7527521–75305.6495.4580.370.37—…
7517511–75205.2895.4030.370.37—…
7507501–75105.4155.9120.360.36—…
7497491–75005.5435.5510.370.37—…
7487481–74905.4605.5760.370.37—…
7477471–74805.9995.4980.370.37—…
7467461–74705.7705.7350.370.37—…
7457451–74605.6475.5590.370.37—…
7447441–74505.5005.6090.370.37—…
7437431–74405.6285.3000.370.37—…
7427421–74305.4915.9500.370.37—…
7417411–74205.5735.7740.370.37—…
7407401–74104.9925.2280.370.37—…
7397391–74005.4555.1640.370.37—…
7387381–73905.5185.2480.370.37—…
7377371–73805.2925.1540.370.37—…
7367361–73705.6925.2950.370.37—…
7357351–73605.6035.7360.370.37—…
7347341–73505.5645.4730.370.37—…
7337331–73405.2525.7310.370.37—…
7327321–73304.9985.6070.370.37—…
7317311–73205.6275.2660.370.37—…
7307301–73105.3045.4340.370.37—…
7297291–73005.2115.3260.370.37—…
7287281–72905.5305.5330.370.37—…
7277271–72805.2675.8520.370.37—…
7267261–72705.5925.5480.370.37—…
7257251–72605.7585.4370.370.37—…
7247241–72505.6155.7610.370.37—…
7237231–72405.2675.6390.370.37—…
7227221–72305.4835.3740.370.37—…
7217211–72205.4845.5830.370.37—…
7207201–72105.4865.4330.370.37—…
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Run

What is running

machine
NVIDIA GB10 (DGX Spark)
compute
12.1
executable
f25-run25.elf
model
Coppelius: 16 blocks, width 512, 8 heads, context 1024, FFN 1408, vocab 12288, 57.7M parameters
optimizer
AdamW, one step per context, 10000 steps in one process, checkpoint every 1000
steps done
10000
started
2026-09-26 21:08:29 UTC
last GPU sample
2026/09/