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AMD announced the definitive agreement Thursday, August 6, at US market close. Terms were not disclosed, and the deal still needs regulatory approval with close expected in Q4. My read is in the $3B range. Nobody has confirmed a number.
Here is why this one is worth your time.
What Taalas actually built
Most AI chips are general purpose. They pull model weights out of memory at runtime, which means shuttling billions of values back and forth across a power-hungry interface. That trip is the bottleneck.
Taalas skipped it. They etched Meta's Llama 3.1 8B directly into the transistors. 53 billion of them, on an 815mm² die, fabbed on TSMC’s 6nm process. The model becomes the processor.
The HC1 demonstrator launched February 19 and hit roughly 17,000 tokens per second per user. Nvidia's Blackwell managed about 350 on the same model in Taalas' own testing. That is a 48x gap. Against Cerebras, Taalas claims 10x the speed, 20x lower build cost and 10x less power, mostly because it needs no HBM, no advanced packaging and no liquid cooling.
Those are vendor numbers, not audited benchmarks. But people who hammered the public demo independently clocked 14,000 to 17,000 tokens per second, so the shape of the claim holds.
The catch is real. Each chip runs one model and nothing else. Want a different model, commission new silicon. Taalas says only a couple of the hundred-plus layers change and TSMC turns it around in about two months instead of the usual year or more.
The number that should stop you
24 people. $30M spent. More than $170M still in the bank at exit.
Taalas built working silicon that beat every accelerator on the market on tokens per second, on less capital than most Canadian companies burn getting to $3M ARR. Bajic said it plainly at launch: precise goals and disciplined focus achieve what brute force cannot.
If you are raising right now, that is the story to steal. Not the exit. The burn.
Why AMD paid
Training made Nvidia. AMD is betting inference is the bigger prize and projects that market growing more than 80% a year.
Nvidia paid about $20B for Groq's assets in December. Taalas is AMD's fourth inference deal since November. Lisa Su has been saying for months that there is no one-size-fits-all in chips.
The pattern nobody is naming
Four Toronto chip companies in 14 months.
Nvidia acquired CentML in June 2025. The Logic reported the deal could top US$400M with earn-outs, on $30.9M raised. That is a real return.
AMD acqui-hired Untether AI's engineering team the same month. Untether shut down, its IP was not part of the deal, and it filed for bankruptcy on October 14 with $25M in assets against $128M in liabilities. Investors did not get made whole. That one was not a win.
And Tenstorrent, where all three Taalas founders came from, redomiciled to Santa Clara.
Where were the Canadian VCs?
Real Ventures led Tenstorrent's seed round out of Montreal in 2016. Canadian money was there at the start of this entire lineage. It was not there for Taalas.
Quiet Capital reached out when the founders left Tenstorrent and wrote the first cheque almost immediately. Pierre Lamond, who helped build Fairchild and National Semiconductor before spending nearly three decades at Sequoia, came in early. Fidelity came later. Both Lamond and Fidelity had previously backed Tenstorrent and leveraged their relationships with the team.
In 2024, Canadian-only investors made up more than 70% of deal value in rounds under $5M. In rounds over $50M, they made up 12.7%. We are good at first cheques. We do not write $169M ones.
So is this a win for Canada?
A worldbeating Canadian chip company would need capital, distribution and TSMC allocation against every hyperscaler on earth. This would need significantly more capital than $200M and it is not clear any of the companies could raise this. In this context, the exits make sense but it means we are not building the next Nvidia here yet. We are building the people who will. In addition, the returns leave Canada.
On the positive side, 24 engineers just watched a three-year exit from the inside and now know exactly what it takes. Martin Snelgrove and the Untether crew already started Hepzibah AI in Toronto, with Two Small Fish backing it. AMD says the deal builds on a Canadian presence it has had since buying Markham's ATI in 2006. This is deepening the chip ecosystem we have and the ability to create value.
If you are working on hardware in this city and raising, reply to this. I want to know who is next.
What Jeff Shiner told a room of 400 founders
400 of you were in the room last night. Six founders took their pitch live live in front of VCs, two presentations, two firesides, and the room was mostly founders. That last part is what made it work. And here’s what stuck with me:
The pitches were ambitious. One team is trying to run chips on light instead of electricity. One is rebuilding what the end of life looks like for families. One is building an AI stuffed animal for toddlers.
Matt Himel (Harvest) took the ZIRP-era founder mantras and rewrote them for AI. The one that held up: do things that don’t scale. His team still onboards every customer personally.
And he did the boldest close we've seen: a time capsule. He opened with a TechTO tweet from 2015, then jumped to a screenshot from 2030, a tweet quoting his own talk sitting at 1,212 likes:
Then, while he was still on stage, we posted that exact tweet in real life. It's at 42 likes right now. The future says 1,212.
You can help the future arrive on schedule. It takes one tap.
Kath Intson (Sentinel) on what it actually takes to build a defence tech company, including the parts nobody warns you about.
Bryn Jones (PartnerStack) on the SaaSpocalypse. He told the room revenue dropped 10% in a single month when the funding market broke, and walked through what he did next.
Jeff Shiner (former CEO, 1Password) was the one that people kept quoting on the way out:
Act like a leader before you get the title.
A third of customer requests belong on the roadmap. A third should be ignored. A third are worth arguing about.
Venture money buys two things: better people and awareness. He thinks they waited too long to raise.
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