Researcher @Databricks. Former @MosaicML, @CerebrasSystems. Addicted to all things compute.

San Francisco, CA
Joined October 2018
Abhi Venigalla retweeted
Introducing Exa 3.0: our largest ever improvement to search quality. Exa is now #1 on every benchmark we tested, from public evals to verticals like coding and GTM intelligence. It's the result of multiple research breakthroughs 🧵
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Abhi Venigalla retweeted
We built a time machine for the web. Introducing Exa Snapshot: an index of 400 billion historical snapshots of webpages that lets you search as if it's the past. Snapshot is already being used for backtesting prediction models, RL at labs, exploring the pre-AI web, and more.
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Abhi Venigalla retweeted
I made some public disclosures about our hardware at the @theallinpod conf this week and wanted to share the progress here. Earlier this summer we got hardware back! The execution was madness…we went from no team in Jan to a tape out in 5 months. AI enabled MUCH tighter loops of research and our execution speed shows the results. This is the first large-scale demonstration of a causal, physical dynamical system to do real compute. 🚀 We released the Un-0 model (see link) in June and it runs on this physical system; the images below come from the actual hardware. What’s more, this chip requires <900 nJ to generate an image; this is many orders of magnitude less energy than conventional machines. unconv.ai/blog/introducing-u…
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Abhi Venigalla retweeted
The world is debating whether frontier AI needs to slow down. If it comes to it, do we know how? A lab can say it stopped training. A country can sign a treaty. But, is the compute following the rules? @attestable is building that layer. New blog! 🧵
🤖 Made with AI
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Abhi Venigalla retweeted
The world has identified verifiable AI as a missing civilization-scale primitive. The core technical obstacle, practical zero-knowledge proofs, was considered impossible. We solved it. Today, we are launching @attestable, the AI Integrity Company, and announcing a $20M seed round led by @jaminball at @AltimeterCap and @YonatanMandelba at @TLV_Partners , with participation from @HalcyonFutures, Cerca Partners, @Weiner_Lia at Netz, @nickymontanaa at Zero Knowledge Ventures, @assaf_rappaport, Asaf Ezra, Nadir Izrael, Jon Coller, Eyal Manor, @OmerPerchik.
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Abhi Venigalla retweeted
We're coming out of stealth. We've built our first racks after a successful A0 tapeout, $1B+ in customer contracts, and $800m raised. Early customer tests show us achieving SOTA throughput, latency, and power efficiency on inference workloads. Our first racks ship this summer.
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Abhi Venigalla retweeted
Introducing our first model, Un-0! We trained an image generator powered by a backbone of coupled oscillators in place of a more traditional conventional neural network.
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Abhi Venigalla retweeted
We raised $250M in Series C funding at a $2.2B valuation, led by a16z. Exa is a search lab organizing the web's data for agents.
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Abhi Venigalla retweeted
Cerebras is now running Kimi K2.6 – a trillion parameter model – in enterprise trials. At ~1,000 tokens/s, this is the fastest frontier model performance ever measured by Artificial Analysis @ArtificialAnlys.
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Abhi Venigalla retweeted
I've been working on a new LLM inference algorithm. It's called Speculative Speculative Decoding (SSD) and it's up to 2x faster than the strongest inference engines in the world. Collab w/ @tri_dao @avnermay. Details in thread.
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Abhi Venigalla retweeted
🚀 Today we’re releasing FlashOptim: better implementations of Adam, SGD, etc, that compute the same updates but save tons of memory. You can use it right now via `pip install flashoptim`. 🚀 arxiv.org/abs/2602.23349 A bunch of cool ideas make this possible: [1/n]
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Taalas Specializes to Extremes for Extraordinary Token Speed eetimes.com/taalas-specializ…
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Abhi Venigalla retweeted
2 weeks ago, we rebuilt our entire product. "Browser automation" fell short of our mission to eliminate all repetitive knowledge work. The new Kaizen is the ultimate digital employee: always on, extremely capable, continually learning. Sign up for access in the tweet below.
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Abhi Venigalla retweeted
InferenceX v2: NVIDIA Blackwell Vs AMD vs Hopper - Formerly InferenceMAX, GB300 NVL72, MI355X, B200, H100, Disaggregated Serving, Wide Expert Parallelism, Large Mixture of Experts, SGLang, vLLM, TRTLLM semianalysis.substack.com/p/…
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Abhi Venigalla retweeted
OpenAI Codex-Spark powered by Cerebras You can now just build things faster—at 1,000 tokens/s.
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Abhi Venigalla retweeted
The world’s most powerful data agent releases today. Sphinx 1.0 is here to power elite data teams.
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Abhi Venigalla retweeted
Excited to announce today that my startup, @positron_ai, has closed a $230M Series B financing round at an over $1B valuation, co-led by great folks at @jumptrading, Arena, Unless Ventures, and strategic backing by @Arm! bloomberg.com/news/articles/…
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