Lythera AI

Access to enterprise-grade GPU computing, making AI infrastructure ownership accessible to everyone.

[Lythera AI @LytheraAI]

Teams routing between open and closed AI
models report cost reductions of 60-83%,
without sacrificing output quality.

Nobody's picking one model anymore. They're
routing intelligently between many. 🔀

[Lythera AI @LytheraAI]

A $6 million training run matched the
performance of models that cost $100 million or
more to build.

DeepSeek V3 didn't just ship a good model — it
rewrote what the industry assumed about
compute budgets overnight. 💥

[Lythera AI @LytheraAI]

Solar will account for roughly half of all new
electricity generating capacity added in the US
this year — driven almost entirely by AI data
center demand.

The energy transition and the AI boom have
become the same story. ☀️

[Lythera AI @LytheraAI]

22 gigawatts of nuclear power projects are
currently in development worldwide, largely
driven by AI data center demand for round-the-
clock clean power.

Nuclear went from a legacy energy source to an
active AI infrastructure strategy. ☢️

[Lythera AI @LytheraAI]

Google's power purchase agreement portfolio
has reached 8 gigawatts, already achieving
roughly 67% carbon-free operations globally.

Lythera's clusters draw on that same buildout across
every region we operate in. ⚡