Fast compute for AI.
10x-1000x faster training.

"Deep learning engineers are probably the most precious resource on this planet,

Strong Compute has enabled our engineers to be 10x more productive."
Early Access

We're building the
Future of Cloud.


Purpose built for AI that shapes the world.

10x-1000x faster.
Zero config for end users.
Zero bill shock.

Fast. Clean. Strong.

Specializing Computer Vision.

We load 100GB in 10 seconds.
‍
We train 100GB as fast as 0.2 seconds per epoch.

10x your dev cycles.  Think in training runs per hour.

Stay in flow.

Faster time to the F1 you need.

Nikhil Abraham - Angel Investor
Previously CFO Udacity
Strong Compute is solving the basketball court problem.
‍
Long training times had our best devs shooting hoops all day, waiting on machines.

Hotrodding AI at enterprise scale and reliability.

Handbuilt for scale
Every line of code optimized with love.
Only a few lines of code
Same model, data, epochs, and results. Just using the hardware better.
Our one feature is speed
Keep doing what you’re doing, just faster.

With a few lines of integration, our customers are getting
‍10x-1000x faster training.

Miles Penn
CEO of MTailor

“from 30 hours to 5 minutes”

Strong Compute took our core algorithm training from 30 hours to 5 minutes, training hundreds of terabytes of data.

‍Deep learning engineers are probably the most precious resource on this planet, and Strong Compute has enabled ours to be 10x more productive.

Iteration and experimentation time is the most important lever for ML productivity, and we were lost without Strong Compute.

- Miles Penn, CEO of MTailor
Soren Harner
Founder, CTO of LayerJot

“turns a 60 hour training run into a few hours”

At LayerJot, I’ve been training computer vision models for years, focusing on state of the art object detectors.

Strong Compute have taken pre-optimized reference libraries and sped them up 20x. This turns a 60 hour training run into a few hours.

Our highest value engineers are working on deep learning, and this makes them vastly more productive.

‍I've been a VP of Engineering at five companies, including Atlassian and Mulesoft, where I was responsible for large engineering teams. The potential to speed up developer workflows here is enormous, so much so that in addition to being a customer, I've now invested as well.

‍The future of the cloud needs to be about speed, ease of use and clear billing. Strong Compute is building this and I'm glad to be a customer and a backer.

- Soren Harner, CTO of LayerJot
Soren Harner
Founder, CTO of LayerJot

Our world class investors
understand the problem.

and 20+ angel investors deep in AI
‍
Anandamoy Roychowdhary
Principal at Sequoia India
ML will unlock a new level of productivity in multiple $100B industries via the deployment of larger and larger models with significant complexity. We were very impressed with the work that StrongCompute is doing to dramatically accelerate both performance and productivity of ML teams everywhere, and Sequoia Capital India is excited to partner with them to help bring this to the world.
Daniel Kan
COO Cruise, led Rebel’s investment into Strong Compute
When developing self-driving cars, compute for AI is essential and training times are an enormous pain point. I couldn’t be more excited by what Strong Compute is developing.
Fred Campbell
Managing Partner at TRAC
The future of venture capital is AI predictive modeling. TRAC was among the first VC to leverage AI to identify future unicorns. Strong Compute is both a future unicorn and it will help TRAC and others accelerate AI model training. A double win for TRAC.
Oliver Cameron
VP Product at Cruise, Angel Investor in Strong Compute
From leading Voyage and our acquisition by Cruise, I've seen vision training at insane scale. Training time is a universal and incredibly painful problem, holding back engineers and world-changing products. Strong Compute is needed today.
Matt Gialich
CEO at AstroForge, Angel investor in Strong Compute
From working at Virgin Orbit l, I know the value of space based imaging solutions. These are critical systems to drive the space economy forward. Strong Compute has the potential to significantly increase the value of these systems.
Varun Ganapathi
Angel, Chief Technology Officer at AKASA
Building and exiting two AI companies has taught me that speed to market matters. We’ve worked on similar tech in the past. What Strong Compute is doing has serious potential.
Niki Scevak
Partner at Blackbird
We’re big believers in AI and have led investments into self driving company Zoox, and medical imaging company Harrison AI. We’re also proud to have Robyn Denholm, as an operating partner to help grow our companies. The potential for speeding up developer workflows in this space is enormous.
Kim Jackson
Founder at Skip Capital
At Skip we’ve seen first-hand the time it takes to develop and build world-class deep learning models. Strong Compute’s ability to shorten these times by orders of magnitude is game-changing. We're excited by the potential the team has to build a category-defining company.
Cyril Grislain
General Partner at Starburst Ventures
Starburst Ventures has worked with leading aerospace companies for over a decade. The need to automate aerial imaging analysis has never been greater. Strong Compute has arrived at the perfect time.
Mike Miller
General Partner at Liquid2
From my work with High Performance Compute at CERN, I’ve seen there is no limit to the value of faster processing. Today’s cloud needs a major upgrade to properly serve high performance use cases.
Jose Acain
CTO at AstroForge, Angel Investor in Strong Compute
From my time at NASA and SpaceX to today, the growth of imaging payloads has increased exponentially. With that amount of image data, AI is the primary tool used to work with this data efficiently. Speeding up training times is vital.
Josh Leong
Angel, Worked in AI at Google
Working on AI at Google for years made it clear: optimizing training models is not simple, very expensive and holds back great applications of AI. Strong Compute is solving a fundamental and serious problem that holds back the space.
Ivan Kirigin
Founder Tango.vc, previously PM at Lyft Level 5
After building and backing dozens of AI products, like at Lyft Level 5, I've noticed a pattern: AI Engineers are blindsided by lower layers in the stack. Strong Compute solves deep engineering challenges to keep your team focused on your product.
Tanisha Banaszczyk
Partner at Folklore
We've only just scratched the surface of what machine learning and AI can do. We love working with founders who have long-range ambition and visions that will endure across generations. Having invested in autonomous driving, we know how important speed to market is – and see the impact Strong Compute can have on this market with its purpose-built platform, deep understanding of the $500B market and world-class team.
Michael Seibel
Managing Director and Group Partner at Y Combinator
Strong Compute is aimed at a serious incentive misalignment in cloud computing, where faster results that are valued by clients are less profitable for providers.
Marco Trombetti
CEO at Pi Campus, CEO at Translated
We’ve been leading in AI-assisted language translation for over 20 years. A key factor that is limiting the performance of our 300,000 professional translators is how fast our research team can experiment new model architectures. We're excited to see Strong Compute drive down training times.
Justin Olshavsky
Visiting Partner at Pioneer Fund
We wrote the first check into Strong Compute after Y Combinator, seeing their ambitious goals, rapid rate of iteration, and the strength of the team Ben had built.  Raising significant capital in these conditions shows the incredible potential of this company, and we're excited to support them as they build the future of cloud.
Nick Davidov
Partner at Davidovs VC
We’ve invested in over 30 AI startups and cost and time to train the neural nets was always a major issue preventing us from making faster iterations. Most ML specialists could not even be part of agile teams because they couldn’t fit any experiments into a single sprint. Strong Compute’s tech promises to make this problem obsolete enabling ML engineers to run quicker experiments and removing development bottlenecks.
Anandamoy Roychowdhary
Principal at Sequoia India
ML will unlock a new level of productivity in multiple $100B industries via the deployment of larger and larger models with significant complexity. We were very impressed with the work that StrongCompute is doing to dramatically accelerate both performance and productivity of ML teams everywhere, and Sequoia Capital India is excited to partner with them to help bring this to the world.
Niki Scevak
Partner at Blackbird
We’re big believers in AI and have led investments into self driving company Zoox, and medical imaging company Harrison AI. We’re also proud to have Robyn Denholm, as an operating partner to help grow our companies. The potential for speeding up developer workflows in this space is enormous.
Tanisha Banaszczyk
Partner at Folklore
We've only just scratched the surface of what machine learning and AI can do. We love working with founders who have long-range ambition and visions that will endure across generations. Having invested in autonomous driving, we know how important speed to market is – and see the impact Strong Compute can have on this market with its purpose-built platform, deep understanding of the $500B market and world-class team.
Kim Jackson
Founder at Skip Capital
At Skip we’ve seen first-hand the time it takes to develop and build world-class deep learning models. Strong Compute’s ability to shorten these times by orders of magnitude is game-changing. We're excited by the potential the team has to build a category-defining company.
Michael Seibel
Managing Director and Group Partner at Y Combinator
Strong Compute is aimed at a serious incentive misalignment in cloud computing, where faster results that are valued by clients are less profitable for providers.
Daniel Kan
COO Cruise, led Rebel’s investment into Strong Compute
When developing self-driving cars, compute for AI is essential and training times are an enormous pain point. I couldn’t be more excited by what Strong Compute is developing.
Cyril Grislain
General Partner at Starburst Ventures
Starburst Ventures has worked with leading aerospace companies for over a decade. The need to automate aerial imaging analysis has never been greater. Strong Compute has arrived at the perfect time.
Fred Campbell
Managing Partner at TRAC
The future of venture capital is AI predictive modeling. TRAC was among the first VC to leverage AI to identify future unicorns. Strong Compute is both a future unicorn and it will help TRAC and others accelerate AI model training. A double win for TRAC.
Mike Miller
General Partner at Liquid2
From my work with High Performance Compute at CERN, I’ve seen there is no limit to the value of faster processing. Today’s cloud needs a major upgrade to properly serve high performance use cases.
Oliver Cameron
VP Product at Cruise, Angel Investor in Strong Compute
From leading Voyage and our acquisition by Cruise, I've seen vision training at insane scale. Training time is a universal and incredibly painful problem, holding back engineers and world-changing products. Strong Compute is needed today.
Marco Trombetti
CEO at Pi Campus, CEO at Translated
We’ve been leading in AI-assisted language translation for over 20 years. A key factor that is limiting the performance of our 300,000 professional translators is how fast our research team can experiment new model architectures. We're excited to see Strong Compute drive down training times.
Matt Gialich
CEO at AstroForge, Angel investor in Strong Compute
From working at Virgin Orbit l, I know the value of space based imaging solutions. These are critical systems to drive the space economy forward. Strong Compute has the potential to significantly increase the value of these systems.
Jose Acain
CTO at AstroForge, Angel Investor in Strong Compute
From my time at NASA and SpaceX to today, the growth of imaging payloads has increased exponentially. With that amount of image data, AI is the primary tool used to work with this data efficiently. Speeding up training times is vital.
Justin Olshavsky
Visiting Partner at Pioneer Fund
We wrote the first check into Strong Compute after Y Combinator, seeing their ambitious goals, rapid rate of iteration, and the strength of the team Ben had built.  Raising significant capital in these conditions shows the incredible potential of this company, and we're excited to support them as they build the future of cloud.
Josh Leong
Angel, Worked in AI at Google
Working on AI at Google for years made it clear: optimizing training models is not simple, very expensive and holds back great applications of AI. Strong Compute is solving a fundamental and serious problem that holds back the space.
Ivan Kirigin
Founder Tango VC, previously PM at Lyft Level 5
After building and backing dozens of AI products, like at Lyft Level 5, I've noticed a pattern: AI Engineers are blindsided by lower layers in the stack. Strong Compute solves deep engineering challenges to keep your team focused on your product.
Varun Ganapathi
Angel, Chief Technology Officer at AKASA
Building and exiting two AI companies has taught me that speed to market matters. We’ve worked on similar tech in the past. What Strong Compute is doing has serious potential.
Nick Davidov
Partner at Davidovs VC
We’ve invested in over 30 AI startups and cost and time to train the neural nets was always a major issue preventing us from making faster iterations. Most ML specialists could not even be part of agile teams because they couldn’t fit any experiments into a single sprint. Strong Compute’s tech promises to make this problem obsolete enabling ML engineers to run quicker experiments and removing development bottlenecks.

We've been in the news lately.

Strong Compute raises $7.8M seed round to speed up ML training pipelines.
May 2022
Read on TechCrunch
Why self-driving car pioneers are backing an Aussie start-up
May 2022
Read on AFR

Speed up your
‍neural net training today.

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