Cloud · Cloud GPU ProfilesAnnounced

Cloud B200 (Blackwell profile, to verify): Local AI & Business Fit

Name: Cloud B200 (Blackwell profile, to verify)
Brand: Cloud

A next-gen Blackwell datacenter profile for frontier-scale training and serving — listed to anchor the top of the cloud tier.

Here’s what the Cloud B200 (Blackwell profile, to verify) 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.

99/100· Elite·~

Specs at a glance

Memory: 180 GB
Memory type: HBM3e
Bandwidth: 7,700 GB/s
Approx FP16: to verify
Architecture: Blackwell
Process: TSMC 4NP
Power: to verify
Launch year: 2025

Specs are placeholder figures. Placeholder/representative figures. Blackwell memory, bandwidth and throughput vary by exact SKU (B200/GB200) and are still settling — verify against your provider before relying on them.

AI compatibility scores

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

Local AI (overall)99/100

Document RAG99/100

Coding agents99/100

Multi-agent99/100

Business automation99/100

~ Some specs are unverified, so these scores are provisional.

Compatible LLMs

Open-weight chat, coding and reasoning models from our catalog graded for the Cloud B200 (Blackwell profile, to verify), best fit first.

Qwen3 235B-A22B (MoE)
Qwen · 235B · Apache-2.0
Fits at Q4_K_M (~130GB) with ~28.4GB headroom — about 1 concurrent instance.
Q4_K_M · ~130GBRuns well
Qwen2.5 72B
Qwen · 72B · Qwen License
Fits at FP16 (~145GB) with ~13.4GB headroom — about 1 concurrent instance.
FP16 · ~145GBRuns well
Llama 3.1 70B
Llama · 70B · Llama Community License
Fits at FP16 (~140GB) with ~18.4GB headroom — about 1 concurrent instance.
FP16 · ~140GBRuns well
Llama 3.3 70B
Llama · 70B · Llama Community License
Fits at FP16 (~140GB) with ~18.4GB headroom — about 1 concurrent instance.
FP16 · ~140GBRuns well
DeepSeek-R1 Distill Llama 70B
DeepSeek · 70B · MIT
Fits at FP16 (~140GB) with ~18.4GB headroom — about 1 concurrent instance.
FP16 · ~140GBRuns well
Mixtral 8x7B (MoE)
Mistral · 47B · Apache-2.0
Fits at FP16 (~90GB) with ~68.4GB headroom — about 1 concurrent instance.
FP16 · ~90GBRuns well
CodeLlama 34B
CodeLlama · 34B · Llama Community License
Fits at FP16 (~68GB) with ~90.4GB headroom — about 2 concurrent instances.
FP16 · ~68GBRuns well
Qwen2.5 32B
Qwen · 32B · Apache-2.0
Fits at FP16 (~64GB) with ~94.4GB headroom — about 2 concurrent instances.
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.

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: Qwen3 235B-A22B (MoE).

Where it falls short

▸Ongoing rental cost and data leaving your premises; less suited to always-on private workloads.
▸Specifications are provisional (placeholder/announced) and must be verified before purchase.

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 B200 (Blackwell profile, to verify) good for running local AI?+

It scores 99/100 on our Local AI Score (Elite tier), based on its 180GB of memory and available bandwidth/compute. Some specs are unverified, so treat the score as provisional. That makes it suited to the Enterprise AI Business OS tier.

Which LLMs can the Cloud B200 (Blackwell profile, to verify) run?+

Comfortably: Qwen3 235B-A22B (MoE) (Q4_K_M), Qwen2.5 72B (FP16), Llama 3.1 70B (FP16). Larger models may run with heavier quantization or by splitting across devices.

Should I run AI locally or in the cloud on the Cloud B200 (Blackwell profile, to verify)?+

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 B200 (Blackwell profile, to verify) 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 B200 (Blackwell profile, to verify) 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.

Get started