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Lambda GPU prices

Track Lambda GPU prices for H100 SXM, H200, A100 SXM4, and B200, compare current median rates, and see how this provider moves versus the broader cloud market.

Plan with Lambda Browse GPU prices Open Lambda
Lowest Median
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GPUs Available
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models tracked
Median Range
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across recent GPUs
Last Updated
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Search guide

Lambda cloud GPU pricing overview

Lambda currently appears in our dataset with pricing for 9 tracked GPU models, including H100 SXM, H200, A100 SXM4, and B200.

Use this page when you want a provider-first view: start with the current table to compare median rates today, then use the history chart to understand how the provider's market has moved over time.

Cheapest provider right now

Lowest tracked Lambda GPU median right now

The lowest tracked Lambda GPU median right now is V100 at $0.79/hr (on-demand).

Methodology and freshness

How provider pricing is normalized

We normalize each tracked listing into per-GPU hourly pricing, keep the latest snapshot per pricing type, and let you compare the same provider across many GPU models without manually reconciling marketplace formats.

FAQ

Lambda GPU pricing FAQ

Does Lambda offer H100, A100, or H200 GPUs?

Lambda currently has tracked pricing for H100 SXM, H200, A100 SXM4, and B200.

What is the lowest tracked GPU median on Lambda right now?

The lowest tracked Lambda GPU median right now is V100 at $0.79/hr (on-demand).

How fresh are the Lambda GPU prices on this page?

This page shows the latest stored snapshot for each Lambda GPU and pricing type. The freshest row currently visible is from Jul 31, 2026, and collectors run on a daily cadence.

How should I compare Lambda with other GPU providers?

Start with the current GPU table to compare median prices on this provider, then use the provider comparison links below to compare shared GPUs against hyperscalers and specialist GPU clouds.

Popular follow-up searches

Popular Lambda GPU price searches

These follow-up pages prioritize the GPU and provider combinations most likely to matter for buyers researching rental cost, availability, and alternatives.

Lambda H100 SXM price Compare Lambda's current H100 SXM rate against the rest of the tracked market. Lambda H200 price Compare Lambda's current H200 rate against the rest of the tracked market. Lambda A100 SXM4 price Compare Lambda's current A100 SXM4 rate against the rest of the tracked market. Lambda B200 price Compare Lambda's current B200 rate against the rest of the tracked market. Cheapest GPU for GLM-4.7-Flash Map the 3B-active GLM-4.7-Flash onto the current 32GB and 48GB GPU market. Best GPU for Kimi Linear 48B hosting See which 48GB-class GPU is the cheapest practical home for Kimi's long-context 3B-active model.
Coverage notes

How Lambda pricing is tracked

Lambda is a strong dedicated-GPU benchmark when buyers want simpler fixed pricing than marketplace inventory.

Source
Lambda Labs instance types API Requires `LAMBDA_API_KEY`
Pricing models
on-demand tracked where available
Best for
Dedicated GPU instances for steady inference, fine-tuning, and training workloads. buyer fit
Region support: Region and availability signals are provider-dependent and narrower than hyperscaler catalogs.
Limitations: Inventory breadth can be narrower, and unavailable GPUs may not produce current price rows.
Workload views

Lambda prices by workload

Jump from the full provider catalog into workload-specific slices for model serving, batch queues, fine-tuning, and training.

Lambda vLLM hosting prices OpenAI-compatible vLLM serving usually starts at 24GB GPUs and moves into 80GB+ rows for larger models, batching, and long prompts. Lambda batch inference prices Batch inference can use cheaper and less stable pricing modes when queues are flexible and retries are acceptable. Lambda fine-tuning prices Fine-tuning usually starts in 80GB-class inventory once optimizer state, activations, checkpointing, and sequence length are considered. Lambda training prices Training budgets are dominated by 80GB+ accelerators, provider stability, and whether newer H100/H200/B200/MI300X rows justify their premium over A100.

Current Lambda GPU prices

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GPU VRAM Type Min Median Max Offers Last Updated
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Compare Lambda against other providers

Lambda vs Vast.ai Lambda vs AWS Lambda vs Azure Lambda vs GCP Lambda vs RunPod Lambda vs Oracle
Agent-assisted setup

Hand this runbook to Claude Code or Codex

Open a terminal in the repository where you want the deployment files, start claude or codex, then paste this prompt. It asks the agent to verify sources and stop before it creates billable infrastructure.

Claude Code quickstart ↗ Codex docs ↗
Deployment prompt 
Use the infrastructure or model context on this page to create a reproducible open-model deployment. Use this guide as the starting context: https://www.getflops.ai/provider/lambda. Read the linked model card and provider documentation before choosing hardware or runtime settings. Open every linked primary source and flag any mismatch instead of guessing. Create a deployment folder containing README.md, .env.example with no secrets, a pinned start script or infrastructure manifest, and smoke-test.sh. Make the endpoint OpenAI-compatible where the runtime supports it. Run local/static validation, estimate the billable resources, and stop before provisioning paid infrastructure until I approve.
Guardrails included No secrets in files · verify primary docs · approval before spend