Review your build

Check costs, compatibility, availability, and unknowns before saving.

Build sheet

Your build

Known monthly · 24/7 basis$1452.70/mo + unknown

Compatibility needs review

View build evidence 3 exact parts

Catalog evidenceExact identities and observations

3 of 3identities current

1 of 3prices observed

Availabilitynot yet verified

3 of 3spec sets observed

Part	Selection	Price	Action
HostRequired	Lambda A100 SXMSelected View evidence via LambdaOpen exact part detailSaved Offering ID · offering_lambda_gpu_lambda_a100_sxmCatalog identity · Reviewed 69d ago · agingAvailability · Availability not observedPrice evidence · Current reviewed price evidence · 43d old · agingMonthly estimate · GPU rental · 24/7, the rental is the token cost · via LambdaKey specs · Host type: Cloud GPU \| GPU model: A100 SXM \| GPU memory: 40 GB \| +11 more on detail \| evidence aging \| oldest 69d Compare	$1452.70/mo	Replace in Catalog
Open modelRequired	Gemma 3 27BSelected View evidence GGUF · Q4_0 · 15.6 GB reported artifact · via LM Studio · 16 GB minimum system memory with LM Studio · not reviewed for vLLMOpen exact part detailExact ID · lmstudio-community/gemma-3-27B-it-qat-GGUF:Q4_0Catalog identity · Reviewed 90d ago · agingAvailability · Availability not observedPrice evidence · Price not observedMonthly estimate · GGUF · Q4_0 · 15.6 GB reported artifact via LM Studio; no reviewed artifact price; Reported artifact size is not a RAM or VRAM requirement. No reviewed hardware requirement is on file for vLLM. Reviewed runtime-scoped evidence is available for this artifact: 16 GB minimum system memory with LM Studio.Key specs · Artifact format: GGUF \| Quantization: Q4_0 \| Reported artifact size: 15.6 GB \| +11 more on detail \| evidence aging \| oldest 90d Compare	Price unknown	Replace in Catalog
UsageRequired	Working for you most of the day, including web tasks.Selected View evidence Estimate basis	No separate estimate
Model runnerRequired	vLLM · v0.26.0Selected View evidence via vLLMOpen exact part detailExact ID · vllm-project/vllm@v0.26.0Catalog identity · Reviewed 86d ago · agingAvailability · Availability not observedPrice evidence · Price not observedMonthly estimate · no reviewed fixed monthly price for the selected offering; excluded from totalKey specs · Artifact Version: v0.26.0 \| Runner type: Model runner \| Language: Python \| +5 more on detail \| evidence aging \| oldest 86d Compare	Price unknown	Replace in Catalog
InterfaceRequired	Command lineSelected View evidence Open exact part detailCatalog identity · Reviewed 95d ago · stale Compare	No separate estimate	Replace in Catalog

How will you run it?

Pay the provider per token, or rent a GPU and self-host an open model.

Running estimate

Cloud LLM

Lambda A100 SXM: GPU rental · 24/7, the rental is the token cost · via Lambda	$1452.70
vLLM: no reviewed fixed monthly price for the selected offering; excluded from total	Price unknown
Gemma 3 27B - GGUF QAT Q4_0: GGUF · Q4_0 · 15.6 GB reported artifact via LM Studio; no reviewed artifact price; Reported artifact size is not a RAM or VRAM requirement. No reviewed hardware requirement is on file for vLLM. Reviewed runtime-scoped evidence is available for this artifact: 16 GB minimum system memory with LM Studio.	Price unknown
Known monthly subtotal · 24/7 basis	$1452.70/mo

known range $1452.70–$1452.70

Total excludes unknown monthly costs.

Notes for this configuration

Reported artifact size is not a RAM or VRAM requirement. No reviewed hardware requirement is on file for vLLM. Reviewed runtime-scoped evidence is available for this artifact: 16 GB minimum system memory with LM Studio.
Self-hosting on a rented GPU is not free tokens. The rental is the token cost, and 24/7 it usually beats the API only near constant use.
If the GPU sits idle it still costs money. For light or bursty use, an API model is often cheaper than renting a GPU full time.
Storage, bandwidth, or persistent volumes may add cost depending on the provider.
vLLM's command line launches and administers its inference server; it is not an interactive chat CLI. Reach a vLLM deployment through its API endpoint.

Both bases: At ~10 hrs/day: current price unavailable.