Last community mention 18h ago · mention counts update as new posts are ingested.
@ionetOfficial18h ago
Most GPU guides tell you to pick the cheapest H100.
Wrong question.
The right one is which compute setup fits your workload, your runway and your team, and won’t trap you in six months.
We built a framework for it.
Five decision variables. Three stages. Pre-seed to Series A. https://t.co/Vmz6YNYvfj
@ionetOfficial2d ago
The people building AI are rationing it.
If they can’t afford to run it, how can anyone else?
AI should be for everyone. But, today’s market won’t allow it.
The answer is open models and open compute.
That’s what https://t.co/DCp3kvjsTY was built for. https://t.co/dP4GBd96D0
@ionetOfficial2d ago
One neocloud alone has $35.1bn in debt.
That’s enough to fund 2 million+ GPU-years of H100 compute at https://t.co/DCp3kvjsTY.
Debt buys hardware.
Access builds companies.
@ionet is built for access. https://t.co/ulwNKgGfZ1
@ionetOfficial3d ago
You came to rent a GPU.
You ended up funding the whole cloud.
Infrastructure overhead. Managed service premiums. Fees to move your own data.
Every extra dollar is budget you can’t spend building.
Rent the GPU and skip the rest with @ionet.
https://t.co/ypcQzdG1A2 https://t.co/hUBtOVyS6m
@ionetOfficial4d ago
Amazon, @Google and @Meta burned $45 billion in cash last quarter.
A year ago, they generated $36 billion.
Owning AI infrastructure is getting expensive.
Accessing it doesn’t have to be. @ionet
https://t.co/rLiPMgRPiX https://t.co/xNu71gpeiG
@ionetOfficial5d ago
AI is about to compete with everyone for compute.
Jack Collier, our Chief Growth Officer, is at Hong Kong FinTech Week on Nov 3 to talk about what that means for finance, builders and infrastructure.
“When AI Sweeps Over the Infrastructure”
1:35 pm - Hall 5FG https://t.co/zMCFiaoAyM
@ionetOfficial5d ago
AI lets you build more than you should ship.
@ionet’s Head of Product @Raj_TheBUIDLer joins the @theaisho to talk open vs frontier models, and when an agent is actually worth its cost.
And there's coffee analogy that explains everything.
@ionetOfficial6d ago
The AI build-out needs $2.6T a year by 2030.
That’s according to @BCG.
But there are two big conditions. The chips need to stay busy, and the older ones need to keep earning.
Idle hardware is the enemy.
Good thing that’s what we’re working on at https://t.co/DCp3kvk0Jw. https://t.co/Dd247oEs91
@ionetOfficial6d ago
Short-term GPU contracts can cost nearly 2x long-term deals.
It's the same chips, and the same data centers. But with a vendor’s term-pricing ladder.
@ionet works differently.
One network of providers, priced by real-time supply and demand. No contract tiers to choose https://t.co/1m65LoOsPl
@ionetOfficial7d ago
Helium moved. Render moved. Akash is voting on it, 98% yes with the vote still open.
Different networks, same conclusion. Build the product, not the chain.
@solana is where DePIN goes to scale.
We’ve been here since day one. https://t.co/UoDrbKf5Nf
@ionetOfficial7d ago
Microsoft is offering buyouts to up to 60,000 staff.
Microsoft is also spending $175 billion on AI this year.
That’s what consolidated AI looks like. A few giants hold the compute, capital, and control.
We're building the other version.
AI for the many, not the few. https://t.co/yRdH3b81ap
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