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life shouldn’t be too simple. you need to be friction maxxing. cofounder @ voltai | adjunct lecturer @ stanford
palo alto, ca
Joined November 2020
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Labib Tazwar Rahman retweeted
Memo update
HBM Base Die: How will HBM evolve in the future by utilizing the logic process? - Samsung
Advanced packaging for HBM - SK Hynix
3D DRAM based Accelerator for Generative Inference - Meta
XCENA MX1 CXL Computational Memory Device - Samsung
The Cerebras Rack-Scale Architecture for Wafer Scale Engine
...OpenAI?
and Voltai
Hot Chips 2026 Program memo
Flash (HBF) in AI Compute - Oxmiq Labs
Update on RISC-V standards and adoption, including profiles and platforms - SiFive
RISC-V profile and platform for interoperability with NVIDIA GPUs - NVIDIA
RISC-V for automotive: opportunities and challenges - Infineon
Intel Core Series 3, codename Wildcat Lake
NVIDIA’s Vera CPU
Next-Generation Arm-based CPU FUJITSU-MONAKA for green AI data center
Arm AGI : A Disaggregated, Chiplet-Based Server SoC for scalable coherency and memory Bandwidth in the Terabyte/s Era
Diamond Rapids: Next Generation Intel Xeon CPU
NVIDIA Rubin GPU: Driving the Era of Agentic AI
AMD Instinct MI400 Series GPU Architecture
System Architecture of the AMD MI400 Series GPU
Crescent Island: GPU Designed for Agentic AI Inference
Samsung LPDDR5X-PIM with In-memory Processing
Thor Ultra: An Ethernet NIC Chip Optimized for AI & HPC
NVIDIA Spectrum-X Multiplane Network Architecture
NVIDIA BlueField-4 Processor Powers the AI Factory Operating System
MTIA 400: Architecture for GenAI + Recommendation Systems, Training
LPX: A Heterogeneous GPU-LPU
MAIA 200: A Data Center Scale AI system - MAIA-200 Accelerator
The Eighth Generation TPU Family: Two Chips Optimized for Training and Serving in the Agentic Era
Pax Silica, one of the finest initiatives to drive multilateral alignment on securing the silicon supply chain, thanks to @jacobhelberg
Great to witness here in DC.
Labib Tazwar Rahman retweeted
VOLTAI chartered a yacht for their happy hour at Reindustrialize. This is how you do it.
Labib Tazwar Rahman retweeted
Designing a single advanced chip can take years, thousands of engineers and billions of dollars. Voltai is building AI to change that.
Congratulations to Voltai on being named one of the @wef 2026 Technology Pioneers, a cohort of 100 early-stage companies selected worldwide for their work at the frontier of technology across AI, energy, space, and biotechnology.
Founded out of a @Stanford AI research lab, Voltai develops AI models and agents that learn to design semiconductors and electronics, reasoning across hardware, software and manufacturing to push design beyond human limits.
It is a hard, foundational problem that sits beneath almost everything the AI era depends on, and one that will be explored under the Foundation Track at @RaiseSummit .
This recognition is well earned, and we are proud to have Voltai joining us as an Official Partner at RAISE Summit this July 8-9.
💡 Learn more about the 100 companies selected for the 2026 Technology Pioneers community: weforum.org/stories/2026/06/…
if we truly want models to do scientific discovery, we have to train them to not repeatedly attempt known ideas but be *exploratory*. they must search over vastly diverse, performant strategies under optimism and creative leaps of faith.
@jubayer_hamid and i had a lot of fun chats when this was being conceptualized. glad it’s finally out. cc: @ifdita_hasan
our RL pipelines should incorporate this in frontier agent training.
Exploration is the lifeblood of learning from experience. An agent must search broadly to uncover successful behaviors. It should continue exploring to expand its capabilities by learning distinct strategies to complex problems. Threading this needle between exploration and exploitation is critical for solving unsolved problems at test-time.
An algorithm should encourage (1) optimistically exploring reasoning strategies, and (2) achieving a synergy between exploration and exploitation. Towards that end, we develop Poly-EPO: a method for training LMs to explore and reason. Work with @ifdita_hasan (co-lead), Shreya, @ShirleyYXWu, @HengyuanH, @noahdgoodman, @DorsaSadigh, and @chelseabfinn. 🧵
we’re in the middle of a Cambrian explosion of new RL algorithms. this excellent (and extremely timely) work unifies many of their desirable properties.
s/o to my childhood friend @fahimtajwar10 & team for setting a new direction in RLVR.
Are we done with new RL algorithms? Turns out we might have been optimizing the wrong objective.
Introducing MaxRL, a framework to bring maximum likelihood optimization to RL settings.
Paper + code + project website: zanette-labs.github.io/MaxRL…
🧵 1/n
Announcing our $35 Billion Project Concord 🇺🇸🇰🇷
Excited to unveil Project Concord with our first project: a $35 billion “Living Data Center” in South Korea — where AI designs, optimizes, and orchestrates the full stack, from silicon to systems to the entire site.
Voltai is partnering with Stock Farm Road, an investor group founded by Brian Koo, the grandson of LG founder Koo In-hwoi, and Amin Badr-El-Din, founder of UAE Offsets Group, which spawned Mubadala, UAE’s sovereign wealth fund. Like Voltai, it also counts Alphabet Inc. (parent company of Google) Chairman John Hennessy as an advisor, alongside former Vice-President of the European Commission and Salesforce Board Member Neelie Kroes. Voltai and Stock Farm Road are the primary partners of Project Concord.
This initiative aligns with South Korea's push to scale AI infrastructure. President Lee Jae Myung just announced plans to triple government AI spending in next year's budget.
Project Concord marks the first time AI will serve as architect, manager, and operator of AI infrastructure that is fully vertically integrated, from silicon to rack to the whole facility.
We're building the playbook for how AI infrastructure scales for the future of AI.
News covered by The Wall Street Journal
Link to our WSJ article: wsj.com/tech/a-big-data-cent…
Children can no longer argue with parents who want them to study computer science instead of physics.
BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
Neubility, a company I co-founded w friends after finishing high school, has been recognized on the #Forbes Top 100 promising companies in Asia list, Alhamdulillah. Currently, Neubility operates self-driving robots for delivery and patrol in the US, South Korea, and Saudi Arabia.
