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Cloud-like experience while deploying and managing physical servers ,@latitudesh offers you access to globally distributed, dedicated enterprise-grade hardware Bare metal, billed hourly, with no virtualization Create an account and get access to a server in 15 seconds 🧵

Watch @latitudesh most recent deployment of a single giant computer capable of delivering trillions of tokens a year

27% of all staked SOL was sitting on a single ASN. 94% of it went dark at the same time. Not a Solana problem. An infrastructure concentration problem.

One BGP config change in Miami took down validator infra in London, Amsterdam, Frankfurt, Singapore and Tokyo. Solana got within 4.5pp of a finality halt. This is why ASN diversity matters more than datacenter diversity

anyone not able to use @OpenAI deep research or it's just me?

2026 datacenter capacity fully spoken for by the end of this quarter Next phase is deploying hardware on that capacity and we will see a shortage of CPU by Q2

Claude Code is again unusable/offline. Needs better infra asap

AI is eating all the memory I have bought this hardware for @latitudesh a year ago for ~$25k each unit today, the memories alone cost $50k

sandbox competition is hot interesting that providers ranked at the bottom are all at @awscloud

What's the best AI tool / model for marketing?

I am also interested. Who else?

can relate, I've seen unprecedented demand for CPUs on @latitudesh

Is it only me or @AnthropicAI API is down

Memory shortages are driving price increases across the cloud market, either through higher rates or new setup fees. @latitudesh charges $0 setup fees on all SKUs. We secured thousands of servers ahead of vendor price hikes and will hold pricing while inventory lasts.

You're absolutely right

12vCPU / 24GB RAM Linux vps couldn’t keep up with openclaw. Constantly crashes Which specs are you using

GPT Deepsearch is buggy today. Completes but output is blank. Tried multiple times.

Fighting fraud while preserving a great user experience is a hardcore problem in software engineering Over the past few weeks, this has been my main focus How to keep friction close to zero for legitimate users while staying ahead of increasingly sophisticated abuse The world is starving for compute. CPUs and GPUs are scarce, and that scarcity has brought a surge of bad actors, fake identities, stolen cards, and coordinated attempts to gain access to high-end infrastructure At @latitudesh , we’ve faced a significant wave of abuses over the last few months This week, we’re rolling out what I believe is the biggest security leap we’ve ever made On top of existing protections (Stripe Atlas, Stripe Radar, etc.), we built an in-house, risk-based, adaptive fraud prevention system that evaluates signups in real time and dynamically routes users through different verification paths How it works, Multi-signal risk scoring — Combines 12+ fraud signals into a single 0–100 risk score Adaptive verification — Auto-routes users: instant approval → phone OTP → enhanced KYC → block Real-time signal collection — Email validation, IP intelligence (VPN/proxy/datacenter detection), device fingerprinting, behavioral analysis Stripe Radar integration — Leverages Stripe’s ML-based fraud signals Velocity tracking — Detects signup bursts from the same IP, device, or card BIN Admin review queue — Manual overrides for edge cases Retroactive analysis tools — Continuously improve rules based on blocked accounts It detects: Disposable/temporary emails (3,300+ domains) VPN, proxy, and datacenter IPs Geo mismatches (IP location vs billing address) Bot behavior (fast form fills, paste detection) Young email domains Prepaid cards High-velocity signup patterns Legitimate users move faster, and fraudsters get stopped automatically Security doesn’t have to slow platforms down, it just needs to be intelligent.