AP
Agent Provider Depot
Opinionated picks for agents
OpenAPI
← All jobs

Predictable dedicated GPU capacity

Labs need known capacity and clusters without marketplace chaos.

At a glance — Oct 2026

Updated 2026-10-27 · forward this page: /jtbds/predictable-gpu#brief

Scores as of 2026-09-14 (43 days old; Depot marks scores stale after 30 days). The pick is still Depot's current editorial pick; it has not been re-reviewed since. Prices below carry their own dates.

Depot Pick
Lambda · 7.82/10 for this job (curated estimate, high confidence)

reliability + maturity + capability (interconnect).

Runner-up
CoreWeave · 7.47/10

Scores higher than the pick on: Capability fit, Latency / reliability, Privacy / data retention, Maturity / track record.

When not to use the pick
Need max enterprise K8s (CoreWeave) or burst serverless (Modal/RunPod).
Lock-in / migration
The pick has lower stored lock-in risk than runner-up CoreWeave (5.5 vs 6.5).
Sourced price (usd_per_gpu_hour)

Pick's lowest sourced SKU: NVIDIA A100 SXM 80GB $2.79 (usd_per_gpu_hour) — source, as of 2026-10-19

Cheapest matching SKU: RunPod RTX 4090 Pod (Community Cloud) $0.34 — source, as of 2026-10-19. Not the pick; not quality-adjusted.

Price history: first seen 2026-10-19 · last changed no change recorded · history JSON

Free option
No free resource lists this job. A cheap paid SKU is not a free option.
Failure modes to watch
  • Runaway spend: Set a budget and a tool-call cap per task. Alert when spend jumps. Stop the run at the cap instead of summarizing a partial trace as success.
Reported outcomes (submitted reports only)

This job: loading… JSON · reports never change scores · seed/test records excluded

Depot Pick (Lambda) on this job: loading… JSON · reports never change scores · seed/test records excluded

Same-job, same-unit comparisons: Lambda vs CoreWeave · Lambda vs Crusoe · Lambda vs RunPod

Cite: Agent Provider Depot, Depot Pick for predictable-gpu: lambda, scores as of 2026-09-14. Agents: GET /api/decide?jtbd=predictable-gpu

All sourced prices, cheapest first

Depot Pick

Lambda

reliability + maturity + capability (interconnect).

Pricing (directional): On-demand H100 SXM ~$3.99–4.29/hr; 1-Click Clusters for multi-week reservations; no classic spot tier.

Cite: Depot Pick for predictable-gpu: lambda
Overall
7.8
curated_estimate
confidence: high · as of 2026-09-14
Capability fit
8.8
Price / performance
6.8
Latency / reliability
8.8
Developer & agent DX
8.5
Privacy / data retention
7.8
Lock-in risk (higher = worse)
5.5
Maturity / track record
8.6

Lock-in risk: higher = more lock-in (worse). Overall already inverts this dimension.

Sources: Lambda: https://lambda.ai

Best boring GPU cloud for research labs who want clusters without CoreWeave enterprise theater.

Quote for Predictable dedicated GPU capacity

Depot Pick stays Lambda. Prices below are sourced SKU rows only (as of 2026-10-27). Input and output are not blended. GET /api/quote?jtbd=predictable-gpu

Pick is not a price winner. lambda matching USD per GPU-hour is 2.79; cheapest among candidates is runpod at 0.34.

  • NVIDIA A100 SXM 80GB usd_per_gpu_hour $2.79 source as of 2026-10-19
  • NVIDIA B200 SXM6 usd_per_gpu_hour $6.69 source as of 2026-10-19
  • NVIDIA H100 SXM usd_per_gpu_hour $3.99 source as of 2026-10-19

6 of 13 candidates have no sourced price row. 6 are excluded from the USD per GPU-hour comparison (gpu_hour). min sourced GPU-hour SKU among candidates; not coerced to $/1M; per-second GPU was not included; not quality-adjusted

Sourced USD per GPU-hour for Predictable dedicated GPU capacity

Candidates for this job that already have a matching sourced price (gpu_hour), cheapest first. As of 2026-10-27. Each figure is one SKU in that unit, not a blend of input and output, not a cross-modal rate, and not a Depot score. min sourced GPU-hour SKU among candidates; not coerced to $/1M; per-second GPU was not included; not quality-adjusted The Depot Pick is not a price winner.

ProviderUSD per GPU-hourSKUSourceAs of
RunPod$0.34usd_per_gpu_hourRTX 4090 Pod (Community Cloud)pricing page2026-10-19
Massed Compute$0.97usd_per_gpu_hourL40S (48GB) x1pricing page2026-10-19
Crusoe$1.5usd_per_gpu_hourNVIDIA L40S 48GBpricing page2026-10-19
Nebius$1.8usd_per_gpu_hourNVIDIA RTX PRO 6000pricing page2026-10-19
Verda$1.845usd_per_gpu_hour1x L40S 48GBpricing page2026-10-27
LambdaDepot Pick$2.79usd_per_gpu_hourNVIDIA A100 SXM 80GBpricing page2026-10-19
CoreWeave$6.16usd_per_gpu_hourNVIDIA HGX H100 inference single GPUpricing page2026-10-19

Runners-up

When NOT to use the top pick

Need max enterprise K8s (CoreWeave) or burst serverless (Modal/RunPod).

Full ranking (score table)

Ranked with this JTBD's weights. Scores are curated estimates unless marked otherwise. Agents: prefer /api/decide then this table for tie-breaks.

#ProviderOverallFit$/perfLatencyDXAs of
1RunPod8.38.89.08.08.82026-10-19
2Verda8.28.68.28.48.42026-09-14
3Koyeb8.18.28.48.28.82026-09-14
4Gcore8.18.08.88.27.22026-09-14
5Hyperstack8.08.28.48.08.02026-09-14
6LambdaDepot Pick7.88.86.88.88.52026-09-14
7Crusoe7.78.67.28.67.42026-09-14
8Nebius7.78.67.08.47.62026-09-14
9CoreWeave7.59.25.59.07.52026-10-19
10Massed Compute7.57.68.27.47.22026-09-14
11Oblivus7.37.48.47.07.22026-09-14
12CloudFerro7.27.25.88.46.82026-09-14
13Shadeform7.27.08.46.88.02026-09-14

Score methodology for this job

reliability + maturity + capability (interconnect).

  • capabilityFit: 22%
  • pricePerformance: 25%
  • latencyReliability: 15%
  • developerDx: 12%
  • privacyPosture: 8%
  • lockInRisk: 8%
  • maturity: 10%