Inference at a global scale. Low latency. High throughput. Zero data retention. Built by the same team from @alchemy.
San Francisco
Joined October 2026
- Tweets99
- Following12
- Followers250
- Likes157
Pinned Tweet
⚗️ Alchemy Inference is live.
open-weight models. low latency. low costs.
Kimi, DeepSeek and GLM on an OpenAI-compatible API, with zero data retention 🔒
inference.alchemy.com
Alchemy Inference retweeted
spent this year hearing the same thing: inference bills growing faster than users.
this week the waitlist proved it. onboarding as fast as we can without cutting corners. thank you for the patience 🙏
demand > expectations.
onboarding as fast as we can without compromising the experience we promised. if you’re on the waitlist, hang tight. we see you
we built Alchemy Inference around the four things that decide an inference provider:
💸 cost: lower costs, without compromising performance
⚡ latency: low, with high throughput
🛡️ reliability: from the team behind Alchemy's 99.99% uptime
🔒 data: zero data retention
all you have to do is:
🔌 point the SDK you're using at our endpoint
🔑 swap the key
🧠 pick a model
no new SDKs, no GPUs to manage ✅
it's that easy 👉 inference.alchemy.com
2/ we built Alchemy Inference around the four things that decide an inference provider:
💸 cost: lower costs, without compromising performance
⚡ latency: low, with high throughput
🛡️ reliability: from the team behind Alchemy's 99.99% uptime
🔒 data: zero data retention
3/ all you have to do is:
🔌 point the SDK you're using at our endpoint
🔑 swap the key
🧠 pick a model
no new SDKs, no GPUs to manage ✅
it's that easy 👉 inference.alchemy.com