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Danyal

Verified account Callosum

@DanAkarca

Co-founder @CallosumAI | Machine intelligence, brains & chips | @cambridge_uni, prev Schmidt fellow @imperialcollege, @schmidtfutures
London, England danakarca.com Joined January 2012
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Danyal Verified account @DanAkarca
Today we're announcing our $100m seed round to change how humanity computes 🚀

AI must be far cheaper, faster and more performant than it is today. Co-evolving heterogeneous compute and intelligence is how we do it.

With our round, today we are announcing global partnerships, new technical advances, and the launch of Tailored Inference to optimise tasks, models and hardware simultaneously.

A future of heterogeneous intelligence, built on principles we see in nature, is coming fast. And we're just getting started!
Callosum @CallosumAI Aug 20
Today we announce our $100M seed round to redefine how humanity computes in AI's next chapter.

The future of compute and AI is heterogeneous. Callosum is building it:
callosum.com/blog/seed-round
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Danyal Verified account @DanAkarca
heterogeneous (bio)compute
nat Verified account @natal1e_c Oct 23
are you ready to grow some brains? 🧠

Project A & @outlierlabshq are hosting a biocomputing hackathon with @CallosumAI and Frontier Computing (YC S26) @frontiergpu @MichaelDmrks!

come program living brain cells to control robots, fly drones, and build something crazy.

50 spots only.

@DGneusheva @HedeyaY
luma.com/2khmpnqp
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Danyal Verified account @DanAkarca
Heterogeneity all the way down
anand iyer Verified account @ai Oct 15
AI inference is shifting from single GPU clusters to Heterogeneous Disaggregated Inference. Prefill (compute-bound) and Decode (memory-bandwidth-bound) have completely opposite hardware needs. Instead of forcing H100s/B200s to do both (poorly), the industry is splitting the pipeline across specialized chips.
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Danyal Verified account @DanAkarca
this guy is pretty smart…
The Compute 100 Verified account @thecompute100 Oct 13
Today’s guest is @achterbrain , co-founder and CTO of @CallosumAI .

Jascha’s bet is that the future of compute is heterogeneous: different chips working together on different parts of a problem.

Beyond the multichip future, we discuss:

- What neuroscience taught Jascha about designing computing systems

- How chipmakers discover what their hardware is best at

- Where thermodynamic, biological, and quantum computing could fit

- Hiring people who welcome having their ideas challenged

- Building an AI infrastructure company in London

Timestamps:
0:00 Introduction
2:55 What heterogeneous computing actually means
11:02 From PhD research to Callosum
18:36 Turning heterogeneous compute into a product
23:24 Sourcing compute and working with chipmakers
28:53 Matching workloads to the right hardware
34:24 What heterogeneous computing can do today
38:29 The next waves of chips
48:02 Building the team
51:33 Why build in London?
56:11 Helping enterprises upgrade their compute stacks
1:01:04 Fundraising and building momentum
1:03:40 Where specialization wins, and where it doesn’t

Listen to the show, and follow along for new episodes every Tuesday.
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Danyal Verified account @DanAkarca
The real end goal of scaling heterogeneous compute is to make new discoveries and uncover new knowledge that change the world

excited to back @sotalikesfuture with @inherent_labs @fractile_ai & @ARIA_research!
Society for Technological Advancement Verified account @sotalikesfuture Oct 13
SoTA Scientific Parallelism Hackathon | 21st-22nd November | London

Which scientific questions could we investigate better if computation were faster or could run at a greater scale?

The Society for Technological Advancement (@sotalikesfuture), supported by Callosum (@CallosumAI), Inherent Labs (@inherent_labs), the Advanced Research + Invention Agency (@ARIA_research) and Fractile (@fractile_ai), is holding a hackathon to tackle open scientific questions that could benefit from faster computation or experiments at a greater scale.

Contestants will use parallel computing on challenges across biology, chemistry, physics, materials science, astronomy, and Earth sciences – pushing GPUs to their limits and rethinking architectures for this new paradigm.
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