Cloud · Cloud GPU Profiles

Cloud H100 80GB (profile): Local AI & Business Fit

Name: Cloud H100 80GB (profile)
Brand: Cloud

A rentable H100 instance — top-tier inference and fine-tuning without capital expenditure, billed by the hour.

Here’s what the Cloud H100 80GB (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.

91/100· Elite

Specs at a glance

Memory: 80 GB
Memory type: HBM3
Bandwidth: 3,350 GB/s
Approx FP16: 990 TFLOPS
Architecture: Hopper
Process: TSMC 4N
Power: to verify
Launch year: 2022

Specs are approximate figures. Generic profile across providers; pricing and exact topology (PCIe vs SXM, 1x vs 8x) vary. Best for bursty or short-lived heavy workloads.

AI compatibility scores

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

Local AI (overall)91/100

Document RAG90/100

Coding agents93/100

Multi-agent93/100

Business automation92/100

Compatible LLMs

Open-weight chat, coding and reasoning models from our catalog graded for the Cloud H100 80GB (profile), best fit first.

Qwen2.5 72B
Qwen · 72B · Qwen License
Fits at Q4_K_M (~44GB) with ~26.4GB headroom — about 1 concurrent instance.
Q4_K_M · ~44GBRuns well
Llama 3.1 70B
Llama · 70B · Llama Community License
Fits at Q4_K_M (~42GB) with ~28.4GB headroom — about 1 concurrent instance.
Q4_K_M · ~42GBRuns well
Llama 3.3 70B
Llama · 70B · Llama Community License
Fits at Q4_K_M (~42GB) with ~28.4GB headroom — about 1 concurrent instance.
Q4_K_M · ~42GBRuns well
DeepSeek-R1 Distill Llama 70B
DeepSeek · 70B · MIT
Fits at Q4_K_M (~42GB) with ~28.4GB headroom — about 1 concurrent instance.
Q4_K_M · ~42GBRuns well
Mixtral 8x7B (MoE)
Mistral · 47B · Apache-2.0
Fits at Q8_0 (~50GB) with ~20.4GB headroom — about 1 concurrent instance.
Q8_0 · ~50GBRuns well
CodeLlama 34B
CodeLlama · 34B · Llama Community License
Fits at FP16 (~68GB) with ~2.4GB headroom — about 1 concurrent instance.
FP16 · ~68GBRuns well
Qwen2.5 32B
Qwen · 32B · Apache-2.0
Fits at FP16 (~64GB) with ~6.4GB headroom — about 1 concurrent instance.
FP16 · ~64GBRuns well
Qwen3 32B
Qwen · 32B · Apache-2.0
Fits at FP16 (~64GB) with ~6.4GB headroom — about 1 concurrent instance.
FP16 · ~64GBRuns well

See the full model catalog →

Best models by business workload

Best for coding agents

Code completion, review and refactoring on private source.

Qwen2.5 72BRuns well
Llama 3.3 70BRuns well
CodeLlama 34BRuns well

Best for RAG / search

Answering over your documents with citations.

Qwen2.5 72BRuns well
Llama 3.1 70BRuns well
Llama 3.3 70BRuns well

Best for business automation

Document extraction and back-office workflows.

Llama 3.1 70BRuns well
Gemma 2 27BRuns well
Gemma 3 27BRuns 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: Qwen2.5 72B.

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.
Strong fit
Hotel / Hospitality Agent
Handles guest messaging, bookings and front-desk automation.
Strong fit
Accounting / Odoo Agent
Extracts invoices, reconciles data and drives ERP workflows.
Strong fit
Coding / Product Engineering Agent
Local code completion, review and refactoring on private source.
Strong fit
Founder Ops / Business Command Center
A fleet of cooperating agents running the whole business privately.
Strong fit

“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 H100 80GB (profile) good for running local AI?+

It scores 91/100 on our Local AI Score (Elite tier), based on its 80GB of memory and available bandwidth/compute. That makes it suited to the Enterprise AI Business OS tier.

Which LLMs can the Cloud H100 80GB (profile) run?+

Comfortably: Qwen2.5 72B (Q4_K_M), Llama 3.1 70B (Q4_K_M), Llama 3.3 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 H100 80GB (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 H100 80GB (profile) into a private AI Business OS?+

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

Turn the Cloud H100 80GB (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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