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Exabits ✓

@exa_bits · San Mateo · joined 06 Apr 2022

The Mothership of AI Compute: The Base Layer Everyone Builds On. Powered by Exascale Labs. 💪 https://t.co/BCZdSSFXBW

84 283Followers
372Following
2 048Posts total
10.5KViews on collected posts

Neueste Beiträge

@exa_bits Hey, do you plan on putting out an investor deck? 43 views · 1 likes · 0 reposts · 0 replies Open on X →
Link to full TedAi video: https://t.co/AnkIy7oz3v 2.2K views · 1 likes · 0 reposts · 0 replies Open on X →
Not all AI compute is urgent. Instead of "compute as fast as possible," we're asking: How do we meet grid constraints while still delivering on performance SLAs? Result? Power capping, intelligent workload shifting, and data centers acting as flexible reserves for the grid. AI
1:09
2.5K views · 5 likes · 0 reposts · 4 replies Open on X →
In the last 10 years, Moore's Law gave us approximately 100x compute. We scaled 1,000,000x. We'll keep doing it. Energy efficiency directly drives factory revenues and token costs. Hardware prices rise, but token generation gets so much faster- token costs drop an order of https
0:31
1.8K views · 9 likes · 1 reposts · 1 replies Open on X →
Why do HVDC + Solid-State Transformers (SSTs) matter for next-gen AI? Everyone focuses on GPUs, but as racks race toward 1MW with Blackwell & Vera Rubin, the real bottleneck is delivering massive, clean power efficiently. NVIDIA’s 800 VDC architecture boosts efficiency up to 5%, 1.2K views · 7 likes · 1 reposts · 1 replies Open on X →
F.03, the first humanoid robot to enter the White House alongside Melania Trump, just created history. Serious AI compute powers advanced robotics from research to reality. Elite compute is needed to train, optimize, and operate these intelligent systems. Exabits can power the
1:39
1.2K views · 7 likes · 0 reposts · 1 replies Open on X →
Power grid is overbuilt for rare peak days. 99% of the time it has massive excess capacity sitting idle. We should design data centers to flex: throttle down or shift load when the grid needs it most. Use the idle power instead of forcing endless new buildouts. Why isn’t this ht
2:05
1.6K views · 12 likes · 2 reposts · 0 replies Open on X →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

1.6K24 Mar
1.2K25 Mar
1.2K27 Mar
1.8K1 Apr
2.5K6 Apr
2.2K
43

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.89%24 Mar
0.66%25 Mar
0.74%27 Mar
0.62%1 Apr
0.36%6 Apr
0.05%
2.33%

Reactions — likes, reposts, replies and quotes — divided by views.

What the audience does

Likes72.4%42 in total
Reposts6.9%4 in total
Replies12.1%7 in total
Bookmarks8.6%5 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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