Tomasz Tunguz @ttunguz
Venture capitalist at @theoryvc Student of Startups Backer of 9 unicorns Author of https://t.co/IWw3R3RVLm Subscribe https://t.co/iDgoLXaF98 tomtunguz.com San Francisco, CA Joined November 2007-
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Vercel took its inbound sales development team from 10 people to 1.25, increased productivity by 30% & it costs just a few thousand per year in tokens. x.com/i/article/2099…
The biggest beneficiaries weren't the hyperscalers—they were the data & security platforms protecting enterprise workloads : • S (SentinelOne) : +15.8% • ZS (Zscaler) : +15.5% • CRWD (CrowdStrike) : +15.4% • RBRK (Rubrik) : +13.9% • PANW (Palo Alto Networks) : +13.8% When hardware capex pauses for breath, the software layer catches up.
Are we seeing an AI pacing rotation? 🧵 While mega-cap infrastructure digested capex today (ORCL -4.3%, NVDA -2.8%), software surged : • Median SaaS stock up +4.5% (avg +5.2%) • 12 companies gained >= 10% in a single day • 92% of the index closed green (80 of 87)
Dario Amodei asked the industry to pace itself on a Saturday. But what does that word mean? Pacing is a policy question. Five camps priced the consequences & none named a speed. x.com/i/article/2099…
DuckDB 2.0 alpha reads Parquet and CSV from S3 2x to 3x faster, with zero query changes. 1.5: each worker downloads, waits, decodes, repeats. 2.0: a download pool fetches ahead, workers only decode. Same laptop, same query: 18.8 s to 7.7 s. On by default. Full numbers, plus recursive CTEs and VARIANT: motherduck.com/blog/why-duckd…
ChatGPT Desktop (the Codex app) can now be configured to use Ollama models. Download or update to Ollama 0.34 to get started.
AI consumption is not a smooth curve anyone can extrapolate : it arrives in three waves, each an order of magnitude larger than the last. The second one has already broken. The third is on the horizon. x.com/i/article/2098…
We nearly doubled MFU on TPU v6e serving Gemma 4 31B, taking prefill from 32% to 63% MFU, and 2x throughput. v6e has 2.5x less HBM and less than half the memory bandwidth of an H100. @transmissions11 wrote it up here: sailresearch.com/blog/tpu-v6e-g…
DATA OUTPOST: A 2-day conference for data people in a world being rebuilt by AI. If you are a founder, engineer, product leader, researcher, operator, or data architect making machine intelligence useful inside actual companies, consider this your forward station. Nov 4: Hands-on-keyboard workshops. Less talking about building, more building. Nov 5: Talks and panels including: Tristan Handy (Fivetran + dbt Labs) Stefanie Tignor, PhD (Clay) Sudeep Dasgupta (DoorDash) Tosh Rayadhurgam (Stripe) Jordan Tigani (our own!) ...and more. Tickets are $499 for both days: dataoutpost.ai
Can't wait to chat with @jdewitt29 !!!
@jdewitt29, COO of @vercel, joins @ttunguz to walk through something that kept failing a few years ago: running inbound sales with AI. 📅 Oct 1 ⏰ 11am PT 📝 Register here: gatsby.events/theory-venture…
The market is telling us that we should be 3x more productive with AI. What if that productivity gain is just an AI working 24 hours a day while a human works eight? x.com/i/article/2097…
Over the next five years, US data center capacity will grow from 25 gigawatts to 70 gigawatts, part of a global buildout costing roughly $5t. Where will the money come from? x.com/i/article/2095…
@allbombs Thanks! All the sources are in the footnotes of the original post: tomtunguz.com/revenue-per-me… The per-megawatt math is inference, but training does show up, just further down the P&L.
Model companies buy electricity by the megawatt and resell it as cognitive work. Anthropic's revenue has run as high as $50m per megawatt, against $10-15m of compute.
@obsidiancap1 It's probably the fastest growing part of the business, but I don't know if that number is public.
How large is Snowflake's AI revenue? Management lowered product gross margin guidance from 76% → 74% due to "fast-growing AI workloads." If GPU inference runs at ~25%–35% gross margins, that 200 bps compression implies ~$60M–$75M/quarter (~$240M–$300M ARR) in direct AI token consumption.
That represents ~4%–5% of revenue today, but explains roughly half of the +700 bps growth acceleration (30% → 37%). The flywheel: direct GPU token billing acts as a catalyst, pulling along higher-margin SQL warehouse compute to clean, join, and feed enterprise data to the models.
@sl_wire That's a good data point in a single day
Meta launched two things yesterday : a state-of-the-art model & a new pricing system for foundation models. Muse Spark propels US open source models to the frontier. Meanwhile, the pricing system resets the industry’s economics. x.com/i/article/2095…
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