tweetindex
TH

B3

@b3labs · joined 16 Apr 2024

AI you own, from bare metal to agentic solutions

142 081Followers
164Following
2 240Posts total
114.2KViews on collected posts

โพสต์ล่าสุด

Open weight models are free to download. Running them at frontier quality is not. Matt Huffman, Head of Fleet at B3IQ, on what a GPU cluster actually unlocks. https://t.co/LBj96zfuK7 2.9K views · 37 likes · 2 reposts · 0 replies Open on X →
You want GPUs for private inference, but they're gatekept, expensive, a pain to manage, and the rental meter never stops. B3 Labs CEO @darylX24 explains what we built against that. You own the machine, you run private inference on it, and it earns on the network when you aren't 8.1K views · 72 likes · 8 reposts · 6 replies Open on X →
B3@b3labs
New NVIDIA B300 racks just arrived. Purchase your own compute through https://t.co/LCw3hQI5QE. We'll host it, and set you up to rent idle capacity back to the offtake network. https://t.co/Cy2q1B135Y 16.8K views · 218 likes · 19 reposts · 13 replies Open on X →
B3@b3labs
.@a16z raised $1.1B this week for the hardware AI runs on, from chips and memory to networking and storage. Hardware makers can grow supply about 20% to 30% a year, and AI demand needs several times that. A rack that once drew 5 to 10 kilowatts now draws as much as 250, and 66.7K views · 57 likes · 7 reposts · 4 replies Open on X →
B3@b3labs
@b3labs very cool 3K views · 25 likes · 0 reposts · 3 replies Open on X →
B3@b3labs
And it runs on rails we know: revenue from your node will pay out in fiat or $USDC on @base, and each run will post as a proof of inference transaction. https://t.co/saegKBA2iH 5.6K views · 75 likes · 3 reposts · 2 replies Open on X →
B3@b3labs
Compute is becoming an asset class. And for most teams, running private inference is now 𝐞𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥. Until now, teams wanting their own stack have had two choices: 1/ Rent compute from centralized providers with variable pricing and availability or 2/Purchase GPU https://t.co/e 6.5K views · 74 likes · 5 reposts · 2 replies Open on X →
B3@b3labs
→ Own a dedicated @nvidia GPU system, procured, assembled, and hosted on your behalf in Oregon. Pay as little as 30% down and own it over time. Once it's fully paid off, keep it hosted with us or take delivery. → Process compute or run inference on your own hardware with ease. h 4.5K views · 77 likes · 3 reposts · 2 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

8 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม แสดงไปไกลเกินผู้ติดตามของตัวเอง และผู้ชมก็ตอบสนอง.

ยอดดูมัธยฐาน6 048บัญชีนี้5 983ค่ามัธยฐานของ 100K–1M
การเข้าถึง, %4.26%บัญชีนี้1.49%ค่ามัธยฐานของ 100K–1M
การมีส่วนร่วม, %1.33%บัญชีนี้0.93%ค่ามัธยฐานของ 100K–1M
ตัวชี้วัดบัญชีนี้ค่ามัธยฐานของ 100K–1Mอัตราส่วน
ยอดดูมัธยฐานต่อโพสต์6 0485 9831.01×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)4.26%1.49%2.86×
อัตราการมีส่วนร่วม1.33%0.93%1.43×

บัญชีอื่นในช่วงนี้ →   เปรียบเทียบกับบัญชีอื่น →   ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

4.5K11 Aug
6.5K
5.6K
3K
66.7K28 Aug
16.8K31 Aug
8.1K3 Sep
2.9K

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.88%11 Aug
1.26%
1.47%
0.93%
0.10%28 Aug
1.51%31 Aug
1.11%3 Sep
1.40%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes73.8%635 in total
Reposts5.5%47 in total
Replies3.7%32 in total
Quotes2.0%17 in total
Bookmarks15.1%130 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.

บัญชีที่คล้ายกัน