why r startup ppl always fighting sm on twitter cant we just all be frens :(

so sad that the year worlds is in NA i have a j*b fml

carnivore snax is a top 2 human invention

drank water today instead of spamming energy drinks + zyns and felt great. is ts the new meta

growing up is realizing that tps is overrated

when are the low proletariat mts gonna rise up against the high bourgeoisie mts circles

cpu lowkey more important in inference than gpu

We’re excited to announce that we’ve raised a $40M Series A! co-led by @MarathonMP and @chemistry, with participation from @Wing_VC, @AMD Ventures, @outsetcap, @fiftyyears, and @ycombinator, and our existing investors doubling down on @wafer_ai. we are also joined by an incredible list of angels, including @JeffDean (CEO, @DiscoLoopAI), @rauchg (CEO, @vercel), @andyfang (CTO, @DoorDash), @kvogt (CEO, Bot), @akothari (COO, @NotionHQ), @eastdakota (CEO, @Cloudflare), @deepgramscott (CEO, @DeepgramAI), and more! Most inference optimization today is manual, service-heavy, and done one-time before deployment. Wafer’s vision is AI that optimizes AI. Wafer continuously learns from your workload’s traffic patterns and performance constraints, then finds the optimal deployment across model, engine, kernels, and hardware. This capital helps us accelerate automating more of the inference optimization loop, giving every deployment the leverage of an expert inference-performance team that continuously finds ways to improve performance per dollar. Thank you to the customers who trusted us with their workloads, the partners who built alongside us, the investors who believed in our mission, and the Wafer team members who have worked tirelessly to turn this vision into reality. 🫶🧇

i'm sad to announce that our recent fundraising round did not go according to plan... we initially planned to raise $18m. we didn't end up getting that number. we ended up raising a $40m series a instead. co-led by @MarathonMP and @chemistry, with participation from @Wing_VC, @AMD Ventures, @outsetcap, @fiftyyears, and @ycombinator, and our existing investors doubling down on @wafer_ai. we are also joined by an incredible list of angels, including @JeffDean (CEO, @DiscoLoopAI), @rauchg (CEO, @vercel), @andyfang (CTO, @DoorDash), @kvogt (CEO, Bot), @akothari (COO, @NotionHQ), @eastdakota (CEO, @Cloudflare), @deepgramscott (CEO, @DeepgramAI), and more. back to the kernel mines

sometimes i be facetiming myself. just to hear what a real one gotta say.

github actions down as soon as glm53 flash weights out 🤔 #nooticing #china #sabotage #theytrynakeepusdown

heard you can go goat milking in the bay, didn't know bron was visiting

getting back on hinge. mama didn’t raise no quitter

mfs be like 'yeah i play smash bros' then pick kirby

all da modern day goats come from toronto drake, sga, karpathy, me who else

🚨 BREAKING: these engineers figured out how to serve Kimi K3 on @AMD MI355X at 952 tok/s/node and 118 tok/s single stream! this crushes B200 by 3.8x in aggregate throughput/node and 1.3x in single stream decode + beats B300 on performance per dollar (48 vs 33 tok/s/$) See how in the thread.

my mexican boss has discovered heytea and the office has not been the same since

my least favorite part of kimi k3 is that it fits on an mi355 node

kimi k3 kinda too big just gonna wait for k4

This is a killer stack I just started using Wafer to serve my qwen3.6-27b custom fine tuned llm and it's excellent