Datasets:

susorokin
/

gpu-cost-measurements

Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Failed to parse string: '100 root + 750 ephemeral' as a scalar of type int64
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2312, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2152, in cast_array_to_feature
                  return array_cast(
                      array,
                  ...<2 lines>...
                      allow_decimal_to_str=allow_decimal_to_str,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1863, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2015, in array_cast
                  return array.cast(pa_type)
                         ~~~~~~~~~~^^^^^^^^^
                File "pyarrow/array.pxi", line 1161, in pyarrow.lib.Array.cast
                  return _pc().cast(self, target_type, safe=safe,
                File "/usr/local/lib/python3.14/site-packages/pyarrow/compute.py", line 414, in cast
                  return call_function("cast", [arr], options, memory_pool)
                File "pyarrow/_compute.pyx", line 604, in pyarrow._compute.call_function
                File "pyarrow/_compute.pyx", line 399, in pyarrow._compute.Function.call
                  result = GetResultValue(
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Failed to parse string: '100 root + 750 ephemeral' as a scalar of type int64
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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run_id string	workload string	provider string	gpu string	mode string	quoted_hours float64	quoted_cost float64	actual_hours float64	actual_cost float64	interruptions int64	restarts_from_checkpoint int64	notes string	error_pct float64	backup_provider string	backup_price_hour float64	vram_unavailable string	wait_minutes int64	switched_to_provider string	instance_ram_gb int64	instance_vcpu int64	disk_gb int64	disk_type string	disk_rate_gb_month float64	storage_cost float64	quote_version string	quote_date string	price_hour_at_quote float64	currency_rate float64	error_hours_pct float64	gpu_util_mean_pct float64	instance_lifetime_min float64	stopped_verified_api string
W3-01	W3	runpod-secure	A100-80GB-SXM	guaranteed	2.08	3.41	1.22	1.97	0	0	calibration run. Attempt 1 (19:07-19:25 UTC) via SkyPilot: A100-80GB PCIe Secure absent in all 14 RunPod regions; A100 SXM pod started in US but SkyPilot SSH bootstrap failed (sandbox blocks outbound TCP:22) -> $0.30 lost; smoke test RTX4090 $0.11 lost. Switched to API-only orchestrator (bootstrap in pod, R2 sync, self...	-42.2	runpod-secure L40S	0.99	yes	63	runpod-secure A100-80GB-SXM (same provider, SXM instead of PCIe)	125	16	100	container (unknown media)	0.1	0.06	v1	2026-09-02	1.59	1.17	-41.3	72.2	73.3	yes
W1-01	W1	runpod-secure	L40S	guaranteed	3.57	3.6	2.13	2.21	0	0	calibration. Pod t2pjo7jr5hsdga created 21:24:17, boot 21:24:22, setup 44 s, workload 127.2 min (2000 img, 3.85 s/img avg = 0.26 img/s vs v1 prior 0.19), terminated 23:32:17, lifetime 128 min, verified pods=[]. GPU util mean 95%, VRAM max 32.9 GB (bs4). Cost split of RunPod balance delta $3.696 (W1-01+W2-01) by lifetim...	-38.6	runpod-secure RTX4090	0.74	no	0	null	62	12	100	container (unknown media)	0.1	0.01	v1	2026-09-02	0.99	1.17	-40.3	95	128	yes
W1-02	W1	vast	RTX4090	spot	2.66	0.82	2.13	0.72	0	0	Vast interruptible, bid $0.30 (offer min $0.135; Vast charges the bid), host Kansas US, 62 GB RAM / 24 vCPU, NVMe, rel 0.996, dph_total 0.3185 incl. disk. Attempt 1 (49687805, 21:24) failed at container start: runtype 'args' passes onstart as argv without shell -> fixed to runtype 'ssh' (cost ~$0.001). Attempt 2 instan...	-12.2	null	null	no	0	null	62	24	100	NVMe	0.135	0.01	v1	2026-09-02	0.3	1.17	-19.9	97	128	yes
W2-01	W2	runpod-secure	RTX4090	guaranteed	2.34	1.77	1.95	1.52	0	0	calibration. Pod hx99z5qlbbdip5 created 21:38:11, setup 34 s, workload 116.3 min (2000 optimizer steps, 3.44-3.72 s/step = 1.15 micro-steps/s vs v1 prior 1.3), terminated 23:35:06, lifetime 117 min, verified pods=[]. GPU util mean only 40% (median 36%), VRAM max 9.7 GB: LoRA SDXL bs1 on a 5-vCPU instance is CPU/dataloa...	-14.1	vast RTX4090 on-demand	0.4	no	0	null	29	5	100	container (unknown media)	0.1	0.02	v1	2026-09-02	0.74	1.17	-16.7	40.3	117	yes
W2-03	W2	vast	RTX4090	spot	2.51	0.81	1.07	0.38	0	0	Vast interruptible bid $0.30 (offer min $0.135), host Kansas US (same host as W1-02), 63 GB RAM / 24 vCPU, NVMe, rel 0.996. Instance 49696966 created 23:51:03, boot 23:51:33, setup 23 s, workload 63.2 min (2000 optimizer steps at 1.84 s/step = 2.17 micro-steps/s vs v1 prior 1.3 and vs 3.44 s/step on RunPod 5-vCPU 4090 ...	-53.1	null	null	no	0	null	63	24	100	NVMe	0.135	0.01	v1	2026-09-02	0.3	1.17	-57.4	75.3	64.1	yes
W3-03	W3	runpod-secure	RTXA6000	guaranteed	4.52	2.52	2.06	1.1	0	0	planned runpod-community A6000 on-demand $0.33: podFindAndDeployOnDemand -> SUPPLY_CONSTRAINT (no Community A6000 anywhere), switched immediately to backup RunPod Secure A6000 $0.53 (pod lazr7p3pxumy7m, SE, 2 vCPU / 502 GB RAM host). Created 23:51:27, boot 23:51:30, setup 34 s, workload 122.5 min (2M texts, 273 texts/s...	-56.3	runpod-secure RTXA6000	0.53	yes	0	runpod-secure RTXA6000 (Community A6000 unavailable)	502	2	100	container (unknown media)	0.1	0.06	v1	2026-09-02	0.33	1.17	-54.4	77.9	123.5	yes
W4-01	W4	runpod-secure	H100-SXM	guaranteed	1.61	5.44	0.94	3.14	0	0	calibration (W4 on H100). Planned nebius H100 $3.85 -> Nebius service-account key still missing -> launched on backup RunPod Secure H100 80GB HBM3 $3.29 (pod iab4loc8ekbat4, US). Created 02:02:07, boot 02:02:14, setup 37 s, model load 66 s, training 53.5 min (1875 steps, 1.71 s/step, 9.35 samples/s = ~4200 tok/s vs v1 ...	-42.3	runpod-secure H100-SXM	3.29	no	0	runpod-secure H100-SXM (Nebius key missing)	125	16	150	container (unknown media)	0.1	0.04	v1	2026-09-02	3.85	1.17	-41.6	90.4	56.3	yes
W4-03	W4	vast	A100-80GB-SXM	guaranteed	2.44	2.83	1.73	1.9	0	0	Vast on-demand. Cheapest verified A100 SXM4 offers ($0.56-0.78) turned out to be 40 GB cards -> added --min-vram filter; 80 GB offers from $0.936 (Czechia, taken between attempts) -> got Sweden host $1.056/h incl. disk (instance 49701931, 126 GB RAM / 8 vCPU, rel 0.999). Attempt 1 (01:07, $0.04) failed in 1 min: missin...	-32.9	runpod-secure A100-80GB-SXM	1.59	no	0	null	126	8	150	SSD (Samsung PM1733)	0.2	0.07	v1	2026-09-02	0.6	1.17	-29.1	92.7	104	yes
W4-02	W4	vast	RTX4090	spot	3.08	1.03	2.76	0.99	3	2	Planned RunPod Community 4090 spot: attempt 1 (bid $0.34 = minimumBidPrice, FR) reclaimed after ~5 min, attempt 2 (bid $0.40, TW) after ~8 min - both before first R2 upload ($0.08 total). Switched to Vast 4090 interruptible bid $0.30 (dph_total 0.328 incl. disk), Kansas host 62 GB/24 vCPU, rel 0.996. Attempt 3 (01:07) ...	-3.9	null	null	no	85	vast RTX4090 interruptible (RunPod Community spot reclaimed twice)	62	24	150	NVMe	0.133	0.08	v1	2026-09-02	0.34	1.17	-10.4	86.1	165.9	yes
H5-W4-N	W4	runpod-secure	H100-SXM	guaranteed	0.51	1.75	0.44	1.5	0	0	H5 naive: bf16 LoRA, QUANT=none, GRAD_CKPT=0, OPTIM=adamw_torch, bs4xga4 on H100 80GB HBM3 Secure $3.29 (pod 94vbhn6xd4ibzz, IN). Created 03:27:47, boot 03:27:53, setup 49 s, model load 35 s, training 23.1 min (1875 steps, 0.74 s/step, 21.7 samples/s = ~9750 tok/s vs v2 prior 8748), workload 25.3 min, terminated 03:54:...	-14.3	null	null	no	0	null	125	16	150	container (unknown media)	0.1	0.05	v2	2026-09-03	3.29	1.17	-13.7	79.9	26.5	yes
H5-W1-N	W1	runpod-secure	H100-PCIe	guaranteed	1.04	3.04	1.94	5.61	0	0	H5 naive: SDXL fp32 (no torch_dtype), batch 1, 30 steps, N_IMAGES=500 (scaled down from 2000 for budget; cost per image is the metric). RunPod Secure H100 PCIe $2.89 (pod lxdubb1ipod9z2, US). Created 03:27:47, boot 03:27:54, setup 51 s, model load 22 s, workload 115.1 min (13.77 s/img = 0.0727 img/s vs v2 prior 0.141 =...	84.5	null	null	no	0	null	125	16	100	container (unknown media)	0.1	0	v2	2026-09-03	2.89	1.17	86.5	99	116.3	yes
W1-03	W1	nebius	H100-SXM	spot	1.18	2.57	0.97	2.11	0	0	Nebius eu-north1 H100 SXM preemptible (platform gpu-h100-sxm, preset 1gpu-16vcpu-200gb, $2.15/h incl. vCPU/RAM per nebius.com/prices). VM computeinstance-e00esyj1p3xmvyk29n created 04:55:49; container boot 05:02:01 (6.2 min provisioning: VM boot + 10 GB image pull), setup 34 s, model load 129 s, workload 49.4 min (2000...	-17.9	runpod-secure H100-SXM	3.29	no	0	null	200	16	100	network-ssd	0.1	0.01	v2	2026-09-03	2.15	1.17	-17.8	91.3	58.2	yes (manual)
W3-02	W3	nebius	L40S	spot	1.72	1.51	1.78	1.54	0	0	Nebius eu-north1 L40S (AMD host, platform gpu-l40s-a, preset 1gpu-16vcpu-64gb) preemptible: GPU $0.65 + 16 vCPU x $0.005 + 64 GiB x $0.0016 = $0.83/h (docs.nebius.com pricing). First Nebius run: VM computeinstance-e00zmv0at93a62cked created 04:44:37, container boot 04:50:27 (5.8 min: VM boot + 10 GB image pull), setup ...	2	null	null	no	0	null	64	16	100	network-ssd	0.1	0.06	v2	2026-09-03	0.83	1.17	3.5	74.7	106.6	yes (manual)
W4-05	W4	nebius	RTXPRO6000	guaranteed	0.55	1.06	0.7	1.33	0	0	Extra run (Sergey 2026-09-03): bf16 LoRA (QUANT=none GRAD_CKPT=0 adamw_torch, same as H5-W4-N) on Nebius us-central1 RTX PRO 6000 Blackwell 96 GB (platform gpu-rtx6000, preset 1gpu-24vcpu-218gb). Protocol deviation for this run only: host image ubuntu24.04-cuda13.0 (driver 580 required), container runpod/pytorch:2.8.0-...	25.5	null	null	no	10	nebius RTXPRO6000 on-demand (preemptible preempted)	218	24	150	network-ssd	0.1	0.05	v2	2026-09-03	1.8	1.17	27.3	78.8	42.2	yes
W2-02	W2	nebius	H100-SXM	guaranteed	0.67	2.62	1.7	6.58	0	0	Nebius eu-north1 H100 SXM on-demand $3.85/h (preset 1gpu-16vcpu-200gb). VM computeinstance-e00wp96k6r8g6td2e2 created 04:55:53, container boot 05:02:18 (6.4 min provisioning), setup 32 s, workload 94.2 min (2000 optimizer steps at 2.68 s/step = 1.49 micro-steps/s vs v2 prior 3.9 extrapolated), end 06:37:00; self-termin...	151.1	runpod-secure H100-SXM	3.29	no	0	null	200	16	100	network-ssd	0.1	0.02	v2	2026-09-03	3.85	1.17	153.7	37.3	102	yes (manual)
W5-01	W5 (MiniMax H3 t2v, 3 clips 864x480x124f, 20 steps)	vast	RTX 4090 24GB	spot	1	0.48	0.52	0.52	1	0	attempt 1 (9.2 min, instance 50583575): hf_xet wrote its cache to the image's HF_HOME (/workspace, root-owned) -> Permission denied before the first byte; fixed in run.py (caches forced under /work). attempt 2 (instance 50584418, offer 50414085, California, bid $0.40, dph_total $0.483 incl. 150 GB disk): container rest...	8.3	null	null	no	0	null	108	32	150	NVMe (QEMU)	0.4	0.04	manual (rate x expected time)	2026-09-11	0.483	null	-48	97	21.7	yes (instances=[] 11:41 UTC)
W5-02	W5 (MiniMax H3 t2v, 3 clips 864x480x124f, 20 steps)	hyperstack	H100 PCIe 80GB (n3-H100x1-spot)	spot	0.6	1.2	0.19	0.38	0	0	FIRST Hyperstack run ever. VM 1038018 CANADA-1, image 'Ubuntu Server 24.04 LTS R570 CUDA 12.8 with Docker' (their R595/CUDA 13.2 image is B300-only -> torch cu130 runs through cuda-compat-13-0 forward compatibility, run.py prepends /usr/local/cuda/compat to LD_LIBRARY_PATH when driver < 580). /work on the flavor's 750 ...	-68.3	hyperstack A100-80G-PCIe-spot	1.08	no	0	null	177	28	100 root + 750 ephemeral	local NVMe	0	0	manual (rate x expected time); v2 has no Hyperstack priors (decision 48)	2026-09-11	2.00672	null	-68.3	96	14.8	yes (GET 404, list empty 11:55 UTC)
W5-03	W5 (MiniMax H3 t2v, 3 clips 864x480x124f, 20 steps)	runpod-secure	RTX 4090 24GB	guaranteed	0.6	0.45	0.29	0.2	0	0	pod y0o5zktkr9iyla, datacenter NO (Norway), minCudaVersion=13 sent (new --min-cuda path for RunPod); first create with 150 GB container disk -> SUPPLY_CONSTRAINT, 120 GB created at once. Pod 15 vCPU / 86 GB (container reports the 120-core / 695 GB host, so RAM peak not measurable). create -> bootstrap 2.2 min; download...	-55.6	runpod-secure L40S	1.09	no	0	null	86	15	120	container (unknown media)	0.1	0.005	manual (rate x expected time)	2026-09-11	0.74	null	-51.7	91	17.5	yes (pods=[] 12:11 UTC)
W5-04	W5 (MiniMax H3 t2v, 3 clips 864x480x124f, 20 steps)	nebius	L40S 48GB (gpu-l40s-a 1gpu-24vcpu-96gb)	spot	0.7	0.66	0.59	0.55	0	0	instance computeinstance-e00wvkh6gx7xry73z2 eu-north1, boot image family ubuntu24.04-cuda13.0 (driver 580.173; new --image-name path for Nebius), preset 24 vCPU / 96 GB ($0.92/h, NEBIUS_PRESET_PRICE) instead of 16/64 ($0.83) for RAM headroom. VM create -> bootstrap 4.4 min; download 67 GB 647 s (104 MB/s, slowest of th...	-16.7	nebius H100 preemptible	2.15	no	0	null	94	24	200	network-ssd	0.1	0.016	manual (rate x expected time)	2026-09-11	0.92	null	-15.7	97	35.1	yes (list empty 12:31 UTC)
W5-05	W5 (MiniMax H3 t2v, 3 clips 864x480x124f, 20 steps)	runpod-community	RTX 5090 32GB	guaranteed	0.4	0.28	0.21	0.15	0	0	2026-09-12, task h3_5090_prompt.md (Reddit promise: 'why not rent a 5090 community pod, $0.69/h'). pod lx9ov1cckqsaqo, Community cloud, France, $0.69/h on-demand (Community spot floor = on-demand, report.md s7, so on-demand), minCudaVersion=13, driver 580.178, torch 2.9.0+cu130, native int8 ops on. Availability: 09:40-...	-47.9	vast RTX 5090 (verified, RAM>=64, cuda>=13: $2.67/h on-demand or $1.19-1.30/h spot on 2026-09-12) - not needed	1.19	yes (18 SUPPLY_CONSTRAINT creates 09:43-10:29 UTC; Community 5090 pods on offer had 46-54 GB RAM)	46	null	94	16	120	container (unknown media)	0.1	0.003	manual (rate x expected time)	2026-09-12	0.69	null	-48.5	95	12.6	yes (pods=[] 10:43 and 10:54 UTC)
W5-06	W5 (MiniMax H3 t2v, 3 clips 864x480x124f, 20 steps)	runpod-secure	RTX 5090 32GB	guaranteed	0.3	0.3	0.25	0.25	0	0	2026-09-12, task h3_5090_prompt.md (Reddit promise). pod 2k4ryv042ovno2, datacenter NO (Norway), $0.99/h on-demand (API price of the day, pricing page says 0.89), minCudaVersion=13, driver 580.126, torch 2.9.0+cu130, comfy-kitchen native int8 ops on (log: 'Native ops: ... int8_tensorwise ...'). RTX 5090 had NO stock in...	-17.5	vast RTX 5090 (verified, RAM>=64, cuda>=13: $2.67/h on-demand or $1.19-1.30/h spot on 2026-09-12)	1.19	yes (SUPPLY_CONSTRAINT 09:43 UTC in both clouds; stock reappeared 09:59:46 for ~1 min)	17	null	117	15	120	container (unknown media)	0.1	0.004	manual (rate x expected time)	2026-09-12	0.99	null	-18	65	15.5	yes (pods=[] 10:19 UTC)
W5-07	W5 (MiniMax H3 t2v, 3 clips 864x480x124f, 20 steps)	runpod-secure	RTX PRO 6000 Blackwell 96GB	guaranteed	0.23	0.49	0.24	0.49	0	0	2026-09-13, coordinator task (reader in the r/comfyui thread asked for 'RTX PRO 6000 Blackwell 96GB too, since it's cheaper than H100 80GB'). pod 3qh2n28qu04c0u, datacenter US-KS-2, gpuTypeId 'NVIDIA RTX PRO 6000 Blackwell Server Edition', $2.09/h on-demand secure (the $1.69/h in the task brief is the COMMUNITY rate fo...	0.3	runpod RTX PRO 6000 Workstation Edition ($2.19/h secure, $1.69/h community on 2026-09-13) - not needed	2.19	no for secure (stock High all session, pod created 3 s after the first call); community with minMemoryInGb=64 answered SUPPLY_CONSTRAINT at 06:28 UTC	0	null	283	16	120	container (unknown media)	0.1	0.004	manual (rate x expected time, expected time taken from attempt 2's own timings)	2026-09-13	2.09	null	4.3	91	14.4	yes (pods=[] 06:43 and 06:47 UTC; reap dry-run instances_total=0; terminate -> POD_NOT_FOUND)

Measured GPU job costs on rented cards (September 2026)

22 paid runs on four GPU rental providers (RunPod, Vast.ai, Nebius, Hyperstack). Every row is a real job billed to us; actual_cost is the provider's balance delta for the run, not a price-list estimate. Numbers are in USD unless the column says otherwise.

Files

runs.csv — phase 3, 15 runs, September 2026, four workloads:
- W1: SDXL 1024x1024 image generation, 30 steps, 2000 images
- W2: LoRA fine-tuning for SDXL with the stock diffusers script
- W3: embeddings over 2M texts with bge-large
- W4: fine-tuning of a 7B model, QLoRA nf4 and plain bf16 LoRA
runs_2026-09.csv — W5, MiniMax H3 text-to-video, 7 runs: one 5-second clip at 864x480 (124 frames), 20 steps, the stock ComfyUI T2V graph from v0.35.0 with the official int8_convrot weights (67 GB), same prompt and seeds on every card, three clips per card. Cards: RTX 4090 (Vast.ai spot, RunPod Secure), L40S (Nebius preemptible), H100 PCIe (Hyperstack spot), RTX 5090 (RunPod Community and Secure), RTX PRO 6000 Blackwell 96 GB (RunPod Secure).

Method

Quote first. A cost estimator built from published specs and price lists was frozen before the first run.
Run the job with a fixed image, pinned dependencies and checkpoints; an external watchdog deletes the instance when the job finishes or stalls.
Compare the quote with the bill: error_pct = (actual_cost - quoted_cost) / quoted_cost.

Findings in short: over the first 9 runs the frozen estimator missed by 33 % on average, always too high (provisioning was assumed at 10–14 minutes and took seconds on container hosts; older cards ran 1.3–1.8x faster than the priors). Recalibrated on measured throughput and tested on 6 unseen runs, it landed within 20 % on 3 of 6; the misses were an unmeasured precision setting (+85 %), a CPU-bound job on a new host type (+151 %) and a spot run with three restarts (+46 %).

For the H3 runs two per-clip figures are reported: "steady" uses the rate paid and the measured seconds per clip after warm-up (clips 2 and 3); "session" divides everything billed for the run (image pull, 67 GB weight download, first cold clip, minutes before teardown) by the three clips.

Columns (runs.csv)

run_id, workload, provider, gpu, mode (guaranteed / spot), quoted_hours, quoted_cost, actual_hours, actual_cost, interruptions, restarts_from_checkpoint, notes, error_pct, backup_provider, backup_price_hour, vram_unavailable, wait_minutes, switched_to_provider, instance_ram_gb, instance_vcpu, disk_gb, disk_type, disk_rate_gb_month, storage_cost, quote_version, quote_date, price_hour_at_quote, currency_rate, error_hours_pct, gpu_util_mean_pct, instance_lifetime_min, stopped_verified_api. runs_2026-09.csv uses the same columns.

Caveats

One run per configuration (three clips for H3), one host each, one day. Stock and prices change daily; prices are the rates paid on the day.
The "±8 % after one measured run" figure quoted elsewhere is an in-sample fit on eight calibration runs, not an independent test of future quotes.
Spot and preemptible rows include the time lost to restarts and evictions; that is deliberate.
Failed attempts that produced no output are described in notes and included in the H3 spend totals.

Rendered table with commentary: https://qrun.cloud/measurements

Maintained by Sergey Sorokin (QRUN). License: CC BY 4.0. Corrections welcome in the Community tab.

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