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Raja Koduri ✓

@RajaXg · San Francisco · joined 25 Dec 2009

Create, Clean, Consume is my aspirational routine. My interests math, computer graphics, silicon, software and music.

57 424Followers
2 168Following
4 521Posts total
349.5KViews on collected posts

โพสต์ล่าสุด

Once, “heterogeneous computing” meant offloading from CPUs to GPUs and other accelerators. GPUs led the hetero gang. Now NVIDIA GPUs are the homogeneous baseline. Everyone else is hetero. Apparently, “homo” is the leader and “hetero” is everyone trying to assist or dethrone it. 17.2K views · 124 likes · 10 reposts · 8 replies Open on X →
the current value system is based on knowledge and intelligence being scarce. But bigger scarcity was always judgement and wisdom. AI helps commoditize knowledge and intelligence, which makes us uncomfortable...now we have to learn harder things to be valuable..you may still need 56.5K views · 392 likes · 40 reposts · 28 replies Open on X →
In March we announced a partnership with AM Intelligence to build 2 GW of AI compute capacity. Today, step one is real: a binding order for 9,000 NVIDIA Vera Rubin NVL72 rack-scale systems for the Hyderabad AI factory. One of the first Rubin deployments in Asia. First racks come 30K views · 305 likes · 26 reposts · 13 replies Open on X →
(K)impressive! As an early proof of concept, Kimi K3 designed a chip to serve a nano model built on its own architecture. In a single 48-hour autonomous run, K3 built, optimized, and verified the chip using open-source EDA tools on the Nangate 45nm library. Within 4 mm², the 50.7K views · 239 likes · 31 reposts · 11 replies Open on X →
https://t.co/1UFlJqiVl2 195K views · 797 likes · 123 reposts · 35 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

4 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.

ยอดดูมัธยฐาน40 344บัญชีนี้935ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %70.26%บัญชีนี้3.66%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %0.83%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K
ตัวชี้วัดบัญชีนี้ค่ามัธยฐานของ 10K–100Kอัตราส่วน
ยอดดูมัธยฐานต่อโพสต์40 34493543.1×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)70.26%3.66%19.2×
อัตราการมีส่วนร่วม0.83%1.52%0.55×

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

195K15 Jul
50.7K17 Jul
30K25 Aug
56.5K13 Sep
17.2K19 Sep

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.50%15 Jul
0.58%17 Jul
1.17%25 Aug
0.82%13 Sep
0.84%19 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes53.5%1 857 in total
Reposts6.6%230 in total
Replies2.7%95 in total
Quotes1.0%36 in total
Bookmarks36.1%1 252 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