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New M6 · M5 Pro · M5 Max · M5 Ultra

🤫 Puppy One on Apple silicon

Your agent
deserves a home.

Personal AI should feel personal: responsive, quiet, and close. Puppy One pairs the new generation of Apple silicon with 🤫 Private Agent One - guided day-one activation included, consent-led, and tuned for the work you actually do.

Meet the seriesRead our thesis
32-512GBunified memory
170GB/s-1.2TB/smemory bandwidth
4purpose-built tiers
Day 1guided Agent One activation

The 2026 collection

One decision.
Five memories.

Start with the work. Choose the smallest Puppy that can keep the whole job local. That is where price, performance, privacy, and energy meet.

01Efficiency pick

Configured on Mac mini · M6

Puppy One 32

Everyday private agent, retrieval, voice, and 8B-14B local models.

Our build
32GB unified memory · 1TB SSD · 10Gb Ethernet
Memory
32GB
Bandwidth
170GB/s

The smallest complete machine. Our expected token-per-watt leader for personal, always-on work - pending qualification.

Apple hardware from $8991Reserve ↗
02Compact pro

Configured on Mac mini · M5 Pro

Puppy One 64

Advisors, builders, and 32B-class local models with useful context.

Our build
18-core CPU · 20-core GPU · 64GB · 1TB · 10Gb Ethernet
Memory
64GB
Bandwidth
307GB/s

More memory and bandwidth without leaving the five-inch footprint. A quiet, always-on practice agent.

Apple hardware from $1,6991Reserve ↗
03Best overall

Configured on Mac Studio · M5 Max

Puppy One 128

70B-class local models, coding agents, richer context, and concurrency.

Our build
18-core CPU · 40-core GPU · 128GB · 2TB · 10Gb Ethernet
Memory
128GB
Bandwidth
614GB/s

The strongest balance of model headroom, bandwidth, power, and capital cost for demanding personal AI.

Apple hardware from $2,4991Reserve ↗
04Local frontier

Configured on Mac Studio · M5 Ultra

Puppy One 256 / 512

Very large open-weight models, research, multi-agent teams, and clusters.

Our build
36-core CPU · 80-core GPU · 256GB or 512GB · 2TB+
Memory
Up to 512GB
Bandwidth
1.2TB/s

Buy it for memory fit and absolute local capability - not because the biggest chip automatically means the best efficiency.

Apple hardware from $5,4991Reserve ↗

A better efficiency standard

The fastest token is not always the most useful one.

Agentic systems read, reason, retrieve, call tools, wait, and act. A single tokens-per-watt number hides that journey. We will publish the number - and the outcome behind it.

01

Tokens per joule

Prefill and decode measured separately at the wall, not inferred from chip marketing.

02

Tasks per kilowatt-hour

Successful, human-accepted agent jobs per unit of energy - our primary outcome metric.

03

Local completion rate

The share of useful work completed without sending private context away from the device.

04

Time to useful

Prompt processing, first token, final answer, and tool latency measured as one experience.

🤫 research note · August 2026

The smallest machine that completes the job wins.

Apple's new systems change the local-AI frontier in two different ways. M6 is the efficiency story: a 2-nanometer design, dual Neural Engines, GPU Neural Accelerators, and up to 170GB/s in a five-inch desktop. M5 Ultra is the capacity story: up to 512GB of unified memory and 1.2TB/s of bandwidth, enough to keep models with hundreds of billions of parameters on one desk.

Between them, M5 Pro and M5 Max are where most professional customers should live. The 64GB mini is the compact 32B machine. The 128GB Studio is our high-confidence recommendation for 70B-class models and concurrent agents. Ultra earns its place only when the workload needs its memory.

Read the full research note ↗

Measured, modeled, or unknown

Confidence is a product feature.

Apple reports relative "LLM prompt processing" gains, but its product pages define that test as time to first token. Apple does not publish the tested model, quantization, context length, sustained decode rate, or workload wall power. Its technical specifications publish maximum continuous system power - 155W for Mac mini and 480W for Mac Studio - not inference power. Any exact Puppy token-per-watt figure today would be false precision.

Our launch qualification will record wall energy, time-to-first-token, prompt and decode throughput, thermals, quality, tool success, and idle draw for every recommended model/configuration pair. Until that matrix passes, efficiency labels on this page are recommendations, not benchmark claims.

Apple silicon release ↗Mac mini release ↗Mac Studio release ↗

Private intelligence, ready when you are.

Choose the Puppy
your work deserves.

Reserve any Puppy for any amount from $0.01. Your reservation is refundable and credited toward purchase.

And a straight deal on price: before you pay, hussh checks the lowest advertised U.S. price for your exact Apple configuration - Apple, Costco, and the major retailers - and prices your hardware below it.2

Reserve Puppy One
🤫

hussh · your data, your business

1 Apple U.S. starting prices as announced August 25, 2026. Recommended configured hardware, setup, software, service, taxes, and Puppy launch pricing are separate and will be confirmed before purchase. Model fit depends on architecture, quantization, context length, and concurrent workload. 2 Price promise: at order time hussh verifies the lowest advertised U.S. price for the identical Apple configuration across Apple and major authorized retailers and sets your hardware price below it; verification happens per order because these machines are new and market prices move. Configurations are identified by Apple's own configuration naming; Apple part numbers are adopted the day Apple publishes them. Apple, Mac, Mac mini, Mac Studio, Apple silicon, Siri, and related marks are trademarks of Apple Inc. hussh is an independent company and reseller. This experience is not produced, sponsored, or endorsed by Apple Inc.

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