Cloud · Cloud GPU Profiles

Cloud L40S 48GB (profile): Local AI & Business Fit

Name: Cloud L40S 48GB (profile)
Brand: Cloud

A cost-effective rentable 48GB card — a sweet spot for steady mid-scale inference without HBM-tier pricing.

Here’s what the Cloud L40S 48GB (profile) means for a business that wants to run private AI on hardware it controls: which open LLMs fit, which agents it can power, the AI Business OS tier it suits, and whether to run local, cloud or hybrid.

59/100· Capable

Specs at a glance

Memory: 48 GB
Memory type: GDDR6 ECC
Bandwidth: 864 GB/s
Approx FP16: 362 TFLOPS
Architecture: Ada Lovelace
Process: TSMC 4N
Power: to verify
Launch year: 2023

Specs are approximate figures. Generic profile; price/availability vary by provider. Good default for serving mid-size models economically in the cloud.

AI compatibility scores

Transparent 0–100 heuristics blending usable memory, bandwidth and compute — relative guidance, not benchmarks.

Local AI (overall)59/100

Document RAG60/100

Coding agents60/100

Multi-agent52/100

Business automation57/100

Compatible LLMs

Open-weight chat, coding and reasoning models from our catalog graded for the Cloud L40S 48GB (profile), best fit first.

Mixtral 8x7B (MoE)
Mistral · 47B · Apache-2.0
Fits at Q4_K_M (~28GB) with ~14.2GB headroom — about 1 concurrent instance.
Q4_K_M · ~28GBRuns well
CodeLlama 34B
CodeLlama · 34B · Llama Community License
Fits at Q8_0 (~37GB) with ~5.2GB headroom — about 1 concurrent instance.
Q8_0 · ~37GBRuns well
Qwen2.5 32B
Qwen · 32B · Apache-2.0
Fits at Q8_0 (~34GB) with ~8.2GB headroom — about 1 concurrent instance.
Q8_0 · ~34GBRuns well
Qwen3 32B
Qwen · 32B · Apache-2.0
Fits at Q8_0 (~34GB) with ~8.2GB headroom — about 1 concurrent instance.
Q8_0 · ~34GBRuns well
DeepSeek-R1 Distill 32B
DeepSeek · 32B · MIT
Fits at Q8_0 (~34GB) with ~8.2GB headroom — about 1 concurrent instance.
Q8_0 · ~34GBRuns well
Qwen2.5-Coder 32B
Qwen · 32B · Apache-2.0
Fits at Q8_0 (~34GB) with ~8.2GB headroom — about 1 concurrent instance.
Q8_0 · ~34GBRuns well
Gemma 2 27B
Gemma · 27B · Gemma Terms of Use
Fits at Q8_0 (~29GB) with ~13.2GB headroom — about 1 concurrent instance.
Q8_0 · ~29GBRuns well
Gemma 3 27B
Gemma 3 · 27B · Gemma Terms of Use
Fits at Q8_0 (~29GB) with ~13.2GB headroom — about 1 concurrent instance.
Q8_0 · ~29GBRuns well

See the full model catalog →

Best models by business workload

Best for coding agents

Code completion, review and refactoring on private source.

CodeLlama 34BRuns well
Qwen2.5 32BRuns well
Qwen3 32BRuns well

Best for RAG / search

Answering over your documents with citations.

Mixtral 8x7B (MoE)Runs well
Qwen2.5 32BRuns well
Qwen3 32BRuns well

Best for business automation

Document extraction and back-office workflows.

Gemma 2 27BRuns well
Gemma 3 27BRuns well
Mistral Small 24BRuns well

Good for a private AI Business OS?

✓

As a rentable cloud profile this hosts AI Business OS agents elastically — ideal for bursts and the largest models in a hybrid setup.

Headline model it can host: Mixtral 8x7B (MoE).

Where it falls short

▸Ongoing rental cost and data leaving your premises; less suited to always-on private workloads.

Business agents that make sense

How this machine fits the core AI Business OS agent archetypes:

Customer Support Agent
Answers customers over your docs, drafts replies, triages tickets.
Strong fit
Document / RAG Agent
Reads contracts, reports and wikis and answers with citations.
Strong fit
Legal Evidence Agent (DocMatch-style)
Searches case files and exhibits to surface and link evidence.
Capable
Hotel / Hospitality Agent
Handles guest messaging, bookings and front-desk automation.
Strong fit
Accounting / Odoo Agent
Extracts invoices, reconciles data and drives ERP workflows.
Capable
Coding / Product Engineering Agent
Local code completion, review and refactoring on private source.
Capable
Founder Ops / Business Command Center
A fleet of cooperating agents running the whole business privately.
Capable

“Cloud-assist” means run it locally for light loads and burst to the cloud for heavier jobs. See business use cases for how each agent maps to hardware.

Frequently asked questions

Is the Cloud L40S 48GB (profile) good for running local AI?+

It scores 59/100 on our Local AI Score (Capable tier), based on its 48GB of memory and available bandwidth/compute. That makes it suited to the Pro AI Business OS tier.

Which LLMs can the Cloud L40S 48GB (profile) run?+

Comfortably: Llama 3.1 70B (Q4_K_M), Llama 3.3 70B (Q4_K_M), DeepSeek-R1 Distill Llama 70B (Q4_K_M). Larger models may run with heavier quantization or by splitting across devices.

Should I run AI locally or in the cloud on the Cloud L40S 48GB (profile)?+

Cloud-first is recommended. This is a rentable cloud profile — ideal for bursty or short-lived heavy workloads. Pair with on-prem hardware for steady private workloads (hybrid).

Can I turn the Cloud L40S 48GB (profile) into a private AI Business OS?+

Yes. AI Business OS can run on this machine at the Pro tier, giving you private agents on your own hardware. See the call-to-action above to get started.

Turn the Cloud L40S 48GB (profile) into a private AI Business OS

Run your own AI agents on hardware you control — private by design, no per-seat data leaving your premises. BrainOutput helps you pick the right machine and turn it into a working AI Business OS.

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