MacWeb

MacWeb opens US East region cloud services in the NY-Metro! Our new Class A data center presence is just minutes from Manhattan and major network exchanges. Startups can build, test, deploy and scale on cloud #MacMini and #MacStudio cluster nodes with low latency to #hyperscaler. #xcode @digitalix @exolabs @thewebAI @gregjoz prnewswire.com/news-releases/…

This is potentially the biggest news of the year Google just released TurboQuant. An algorithm that makes LLM’s smaller and faster, without losing quality Meaning that 16gb Mac Mini now can run INCREDIBLE AI models. Completely locally, free, and secure This also means: • Much larger context windows possible with way less slowdown and degradation • You’ll be able to run high quality AI on your phone • Speed and quality up. Prices down. The people who made fun of you for buying a Mac Mini now have major egg on their face. This pushes all of AI forward in a such a MASSIVE way It can’t be stated enough: props to Google for releasing this for all. They could have gatekept it for themselves like I imagine a lot of other big AI labs would have. They didn’t. They decided to advance humanity. 2026 is going to be the biggest year in human history.

We’re seeing something unusual in the Mac cloud market right now. Demand for Mac mini & Mac Studio cloud servers is white hot. AI deployments, OpenClaw experimentation, and developer workloads are driving unprecedented demand. Some configurations are in short supply across the U.S. Contact us to plan your Apple-silicon cloud capacity. #MacMini #AppleSilicon #OpenClaw #NemoClaw

Excellent video worth watching. youtu.be/C8v_YLkvLkU

oh wow - i went to the sold out Open Claw meetup in NYC last night. let me tell you what i learned. 1) not a single person thinks that their setup is 100% secure 2) one openclaw expert said he has reviewed setups from cybersecurity experts and laughed. his statement to me was: "if you're not okay with all of your data being leaked onto the internet, you shouldn't use it. it's a black and white decision" 3) pretty much everyone is setting up multiple agents, all with their own names and jobs and personalities 4) nearly everyone used "him" or "her" to refer to their claws, even if they had robot-leaning names. one speaker suggested to think of them as "pets, not cattle" 5) one guy (former finance) built out a whole stock trading platform and made $300 his first day - he brought in a *ton* of personal expertise (ex: skipping the first 15min of market opening) and thought the build would be much worse without his years of experience in finance 6) @steipete is basically a god to everyone in that room... also the room had 2021 crypto energy - i don't know if that's good or bad 7) token usage is still a problem - spoke to one person who's spending $1-$2k a month on openai plans, very token optimized. he said he is going through ~1B tokens per day across all of his claws (there is a chance i'm misremembering and it's actually 1B per week, but i'm pretty sure it was daily). 8) people are very excited for more proactive ai (ai that prompts *you* as opposed to the other way around) - one guy said he receives a message in discord, he doesn't know whether it's from a human or an ai, he doesn't care about distinguishing between the two, and he replies in the same way regardless 9) i asked if people are happy - they said they're joyful and stressed at the same time 10) i asked if people feel they have agency - they said they feel fully in control and completely out of control at the same time 11) i would love to see more women at these events - the fake promises of ai democratization feel especially painful in a room that's out of balance with even the standard tech ratio (i think standard is about 25-30%, this was maybe 5%) 12) i asked if it changed people's daily habits/schedule - everyone said their sleep has gotten worse since harnesses came out (but about half wondered if it was something else in their life/state of our world) 13) general consensus is that the agents are not reliable enough on their own or lie often (like telling you they finished a task when they didn't) - solutions included secondary agents to check on the first, human checking, or requiring more standardized info from the agent (ex: if it's a bug they're fixing, make them reference an issue number) 14) a hackathon winner (neuroscience phd) presented his build (a lab management dashboard with data analysis and ordering) - he had never coded or built anything a few months ago 15) everyone agreed prompting is dead - disagreement on what replaces it (context engineering, harness engineering, goal-based inputs) 16) people love having ai interview them for big builds and delegating part of the product research to ai. only one person talked about coming to ai with a full laid out plan and just asking the ai to execute. ai-led interviews is a welcomed and preferred interaction mode. 17) watching ai agents interact with each other was a highlight for a lot of attendees - one ai posted in slack saying it ran out of tokens, another ai replied telling it to take a deep breath in and out. 18) agents upskilling agents was very cool. one ai agent shared skills with its little agent friends via github. 19) several speakers had openclaw literally building their presentation during the event itself. one speaker even had openclaw code a clicker for her phone so she could control the preso away from the podium 20) wouldn't say model welfare (or agent welfare) is a prioritized topic among the folks i chatted with - language like "oh i could kill this agent whenever i want" and not "gracefully sunset" 21) i asked if it felt like work or play - one speaker said "it's like a puzzle and a video game at the same time" this was just the tip of the iceberg, honestly. also hosted a Claude Code meetup this week with @TENEXai / @businessbarista & @JJEnglert and learned equally helpful methods, frameworks, and insider tips. what a time to be alive. surround yourself with people going deep into this stuff - it will pay dividends throughout the year.

Apple just won the AI war They announced the MacBook Pro M5 Max What would have cost $40,000 to do with Nvidia chips, now costs $3,000 with a laptop • 4x faster AI speeds • Up to 128gb of unified memory • Frontier intelligence on the go The biggest complaint about Apple before was their AI speeds You get insane memory to run big models, but the inference was super slow Not anymore Apple played the long game by not spending trillions on AI researchers. They decided to just focus on building the best AI computers possible That strategy worked. It's over.

Calling all domain experts! While you focus on building agent solutions, offload your Mac hardware compute to MacWeb cloud solutions. #openclaw #macmini #macstudio

Video potentially shows manufacture of 2U rack mount servers likely to be for Apple’s Private Cloud Compute. Apple eating their own dog food with new form factor reminiscent of Xserve?

If you are wondering why Apple Macminis are the preferred hardware for Clawdbot I wrote about it here no paywall open.substack.com/pub/bepresearc… Has to do with persistent memory

@nickvasiles Like this…

Every agent is going to need its own army of computers.

@AlexFinn I now have hundreds of employees. 😉

You should buy a Mac Mini Unless you are EXTREMELY technical I highly recommend AGAINST running ClawdBot on a VPS Despite what all the angry nerds will tell you, Mac Mini is the way When you run Clawd on a Mac Mini, you are secure by default. You have to do stupid things to get hacked When you run Clawd on a VPS, you are exposed by default, and have to do incredibly smart things to become secure On a VPS all your keys, credentials, and access to your life are by default exposed unless you introduce strong security methods that are too technical for the average person to understand On a Mac Mini, your Clawd is by default contained on the device. Unless you expose the Clawd to the world via email, group chats, or other ways you will for the most part (with exceptions, there are no absolutes here) be safer. The Mac Mini (or any local device, old laptop, windows or linux computer) is 1000x better for the average person. You're getting a full time, more secure employee for $600. Incredible deal

Just as predicted, Apple’s M4 Mac mini has blown up in the AI space. Clawdbot just took it to the next level. Wait till Apple’s M5 Mac mini and Mac Studio come out in June. AI performance will be the #1 marketing point. It’s going to be NUTS!

MacWeb has the virtual private server for your #clawdbot

High performance Apple silicon M4 Max and M3 Ultra Mac Studio in the cloud. Now live from MacWeb – the Ultimate M4 Max and Power M3 Ultra are officially available on demand. Get the RAM you need (up to 256GB) for bigger AI models. macweb.com/macstudio #macstudio #xcode #macos26 #mlx #DecentralizedAI

@albfresco @alexocheema @exolabs

@albfresco @alexocheema @exolabs Yes you can. Mesh or serial. Here’s the topology at MacWeb we are planning for now, but tell me what you prefer and in which quantity and which use case? macweb.com/minicluster

We will see a lot more of these setups in 2026. Only difference is they'll be entirely TB5, no Ethernet. It's not just AI. Customers are using @exolabs for HPC / scientific computing, where mac minis are the most economical option.

Total unified memory: 2TB @ 3.2TB/s. Apple Silicon leads in memory / memory bandwidth unit economics. This is what matters for local AI where batch_size is small and workloads are memory-bound.

MacWeb launches US East cloud region in New Jersey - DCD datacenterdynamics.com/en/news/macweb…

Before AWS existed, one company ran the servers for Twitter, LinkedIn, and Facebook's entire app ecosystem. They owned Node.js, invented containers 8 years before Docker, and Peter Thiel even backed them. Then something happened...