Dhanvin Sriram Profile
Dhanvin Sriram

@DhaniSriram

Followers
898
Following
11K
Statuses
340

Currently building and scaling multiple AI products

Joined June 2023
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@DhaniSriram
Dhanvin Sriram
@DhaniSriram
1 day
@SarahChieng @perplexity_ai @CerebrasSystems Would love to try the API
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@DhaniSriram
Dhanvin Sriram
@DhaniSriram
1 day
@JuanIsidro @krishnanrohit Not Debt to GDP ratio is around 120%
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@DhaniSriram
Dhanvin Sriram
@DhaniSriram
4 days
@schutzsmith @alex_barashkov @peer_rich This is cope lol
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@DhaniSriram
Dhanvin Sriram
@DhaniSriram
4 days
@AngelicaOung This is just twitter hype. Model itself is not useful
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@DhaniSriram
Dhanvin Sriram
@DhaniSriram
5 days
@k_flowstate @kimmonismus @apples_jimmy Nah we’re going to accelerate more
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@DhaniSriram
Dhanvin Sriram
@DhaniSriram
6 days
@onetwoval Is this version of mistral large available with the api?
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@DhaniSriram
Dhanvin Sriram
@DhaniSriram
6 days
@sama @joannejang @akshaynathan_ Give us the real CoT. Not this fake resummarized one
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@DhaniSriram
Dhanvin Sriram
@DhaniSriram
8 days
@OfficialLoganK Any update on imagen 3?
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@DhaniSriram
Dhanvin Sriram
@DhaniSriram
8 days
@weswinder @enggirlfriend Yeah I’m curious also
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@DhaniSriram
Dhanvin Sriram
@DhaniSriram
8 days
@kennandavison Icon
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@DhaniSriram
Dhanvin Sriram
@DhaniSriram
10 days
@daniel_nguyenx lol not an AI bot
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@DhaniSriram
Dhanvin Sriram
@DhaniSriram
10 days
@theo @FireworksAI_HQ NVIDIA is hosting it
@rohanpaul_ai
Rohan Paul
@rohanpaul_ai
14 days
NVIDIA just brought DeepSeek-R1 671-bn param model to NVIDIA NIM microservice on build.nvidia .com - The DeepSeek-R1 NIM microservice can deliver up to 3,872 tokens per second on a single NVIDIA HGX H200 system. - Using NVIDIA Hopper architecture, DeepSeek-R1 can deliver high-speed inference by leveraging FP8 Transformer Engines and 900 GB/s NVLink bandwidth for expert communication. - As usual with NVIDIA's NIM, its a enterprise-scale setu to securely experiment, and deploy AI agents with industry-standard APIs. @NVIDIAAIDev
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@DhaniSriram
Dhanvin Sriram
@DhaniSriram
10 days
“Is deep seeker a good name” lmao
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@OpenAI
OpenAI
@OpenAI
10 days
Today we are launching our next agent capable of doing work for you independently—deep research. Give it a prompt and ChatGPT will find, analyze & synthesize hundreds of online sources to create a comprehensive report in tens of minutes vs what would take a human many hours.
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@DhaniSriram
Dhanvin Sriram
@DhaniSriram
11 days
@kimmonismus It’s not out yet
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@DhaniSriram
Dhanvin Sriram
@DhaniSriram
11 days
@EMostaque This is just a bug. I got it too but nothing happened after. I was still able to use o3
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@DhaniSriram
Dhanvin Sriram
@DhaniSriram
13 days
@ludwigABAP NVIDIA is hosting it
@rohanpaul_ai
Rohan Paul
@rohanpaul_ai
14 days
NVIDIA just brought DeepSeek-R1 671-bn param model to NVIDIA NIM microservice on build.nvidia .com - The DeepSeek-R1 NIM microservice can deliver up to 3,872 tokens per second on a single NVIDIA HGX H200 system. - Using NVIDIA Hopper architecture, DeepSeek-R1 can deliver high-speed inference by leveraging FP8 Transformer Engines and 900 GB/s NVLink bandwidth for expert communication. - As usual with NVIDIA's NIM, its a enterprise-scale setu to securely experiment, and deploy AI agents with industry-standard APIs. @NVIDIAAIDev
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@DhaniSriram
Dhanvin Sriram
@DhaniSriram
13 days
@AravSrinivas This shouldn’t be a question
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@DhaniSriram
Dhanvin Sriram
@DhaniSriram
14 days
@thegenioo @dylhunn Sam said it’s not
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@DhaniSriram
Dhanvin Sriram
@DhaniSriram
14 days
@suryakane @chandrarsrikant @AshwiniVaishnaw Nah they have more than 50k
@dylan522p
Dylan Patel
@dylan522p
17 days
@timlihk Never said that. Hopper. Some my clients executives misinterpreted that as H100, but includes H20 and H800.
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