Accelerating the future: Photonic compute in transit
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Our CEO Chris Walker explores the photonic milestones that have transformed the compute conversation
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Today marks an exciting milestone for Optalysys as our new Bangalore office officially opens its doors 🎉 🇮🇳
This new hub will play an important role in supporting the next phase of our technology and product development, strengthening our global engineering capability and helping us build a sustainable pipeline of world-class talent.
We’re excited to welcome our Bangalore team and to see this new chapter take shape.
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As AI hits memory, power and copper walls, new ways of computing matter more than ever.
Our CEO Chris Walker explores recent photonics milestones that could pave the way ⬇️
Read the full article: eu1.hubs.ly/H0yJN__0
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FEC is one of the hidden enablers of modern AI infrastructure - but as network speeds and scale increase, error correction so can costs in latency, power and silicon.
Our latest report from Joe Wilson explores how FEC supports reliable scale-out AI networks, why its infrastructure cost is becoming increasingly important, and how new photonic Compute-in-Transit architectures could move selected elements of error correction into the optical data path itself.
Download the report to explore the next frontier in AI network efficiency ⬇️
eu1.hubs.ly/H0yzzWT0
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We're delighted to have been shortlisted in the @ProlificNorth Tech Awards 2026 🎉
We're finalists in the Tech Innovation of the Year category for our Compute-in-Transit technology - congratulations to all other nominees!
Find out more about Compute-in-Transit ➡️ optalysys.com/what-we-do/
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Today's the day! We're in Santa Clara for the AI Infra Summit 🚀
If you’re here over the next few days, book some time with us to chat through:
- Breaking the AI memory and copper walls
- Photonic compute for inference
- Distributed AI and collective operations
- How compute can be integrated into optical links
- Opportunities to collaborate across chips, networking and optical infrastructure
Book a meeting with the team ➡️ eu1.hubs.ly/H0yk9BH0
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Next week we'll be heading to Santa Clara for the AI Infra Summit 🚀
AI infrastructure is scaling at extraordinary speed - but it's hit the limits of conventional architectures.
Increasingly, performance, power and efficiency are being shaped by the cost of moving data between memory, accelerators and nodes.
That’s the problem driving Optalysys’ approach to photonic Compute-in-Transit: making optical data movement computationally useful by performing operations directly in the data path.
If you’re attending next week, book some time with us to chat through:
- Breaking the AI memory and copper walls
- Photonic compute for inference
- Distributed AI and collective operations
- How compute can be integrated into optical links
- Opportunities to collaborate across chips, networking and optical infrastructure
Book a meeting with the team ➡️ eu1.hubs.ly/H0ydrdx0
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We're searching for a UK-based Software Engineer (Simulation & Frameworks) to join Optalysys!
The role is within our newly formed Architecture group which is tasked with architecting a novel photonics computing system for various target markets such as AI.
Full job spec: eu1.hubs.ly/H0xR3bS0
As a Software Engineer working on an in-house simulation system and accompanying frameworks, you will be critical in helping develop the architecture. You will work across the software-hardware boundary, enabling rapid bring-up, deep system insight of a novel compute architecture
More info & to apply: eu1.hubs.ly/H0xR3bS0
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AI infrastructure is increasingly constrained by the cost of moving data, not compute alone.
Our latest paper explores Programmable Compute-in-Transit using Integrated Photonics: computation embedded directly in the optical data path, for unmatched efficiency and energy gains.
Read it here: eu1.hubs.ly/H0xMdtw0
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Huge congrats to our friends at @CallosumAI 🎉
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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We are expanding our team and looking for an experienced Staff Analogue IC Design Engineer in Bangalore 📣
Full job spec: eu1.hubs.ly/H0xKd9P0
You will join a senior analogue design team responsible for pushing the performance limits of advanced CMOS technologies (≤45 nm). You'll focus on hand-crafted, high-speed custom logic, particularly domino and dynamic logic architectures, to implement arithmetic building blocks and ultradeep pipelines operating near process limits.
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Compute-in-Transit is an architectural model in which computation is applied during data movement, embedding transformations along the data path for new levels of efficiency.
Rather than treating communication and computation as separate processes, our model adds photonic compute capability in transport, reducing the need for intermediate storage and repeated transfers making it ideal for data movement-bound workloads like cryptography or AI ⬇️
eu1.hubs.ly/H0xFwZT0
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Beyond the challenge of the amounts of energy being used to process and move data, the physical distance between the processing and memory elements, both on-chip and at system level, now limits the speed at which AI models can be run and trained.
Building data centers on a photonic foundation is the next logical step
eu1.hubs.ly/H0xD1JG0
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At Optalysys, we believe the future of AI will be built on light.
Our photonic Compute-in-Transit technology processes data as it moves through the optical data path — supporting faster, more efficient and more secure AI infrastructure.
Nick New explains more in @techUK: eu1.hubs.ly/H0xCdXV0
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We're hiring!
Join our team in the US & India 🇺🇸 🇮🇳
Roles in Bangalore, India
- CMOS Layout Design Engineer – High-Speed Logic & Monolithic Photonics
- Senior / Principal Analogue IC Design Engineer – Data Converters & Photonics Drivers
- Staff Analogue IC Design Engineer – High-Speed Custom Logic
Roles in the US
- Business Development Manager
- AI Systems Architect
- VP Product
Details & to apply ➡️ eu1.hubs.ly/H0xs7sz0
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Photonics is already helping AI infrastructure move data faster,but transport is only the beginning.
The next frontier is Compute-in-Transit: making optical data movement computationally useful...
Nick New explains more in @techUK eu1.hubs.ly/H0xhyTm0
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Compute-in-Transit is an architectural model in which computation is applied during data movement, embedding transformations along the data path rather than at discrete processing nodes.
Rather than treating communication and computation as separate processes, our model aligns photonic computation with dataflow, reducing the need for intermediate storage and repeated transfers making it ideal for data movement-bound workloads like cryptography or AI ⬇️
eu1.hubs.ly/H0wWQNr0
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