As pointed out by The Roundup, the inference space is booming right now.
Last week, @Baseten raised $300M at $5B valuation. They just announced the acquihire of @Inferless to "accelerate innovation in inference infrastructure."
One of the toughest engineering challenges we tackled at Inferless was Cold Starts a critical factor in evaluating true Serverless AI inference platforms.
Check out the video to learn how we made that happen along with a real example: Watch the demo here
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Promoted
Instantly, GPU infrastructure stands out as the obvious future in the AI world. I've been following Nilesh and Aishwarya's progress updates on LinkedIn, and it's clear you're all working on something truly significant.
With GPUs driving faster computations and supporting scalable, efficient AI models, Inferless seems poised for a major impact. Team’s passion shines through. Good luck—let’s go 🚀
Coming from a startup background, I totally get the struggle of managing GPU infrastructure. Super interesting problem - making AI deployments super easy, no more wasted time or money on idle GPUs. Love the instant deployment and auto-scaling features. Kudos to the Inferless team for simplifying this process! Definitely recommending ti
Inferless really seems to simplify the process of deploying models with its flexible and cost-efficient approach—how do you see it helping small businesses streamline their workflows?
Coming from a startup background, I totally get the struggle of managing GPU infrastructure. Super interesting problem - making AI deployments super easy, no more wasted time or money on idle GPUs. Love the instant deployment and auto-scaling features. Kudos to the Inferless team for simplifying this process! Definitely recommending it. 🙌
Huge congrats Aishwarya & team! 🎉 As someone who battled GPU provisioning headaches before, your sub-second cold starts + pay-per-millisecond model is a game-changer! ⚡ The Cleanlab integration case speaks volumes.
Have you considered adding granular model monitoring (like token cost breakdowns per API call)? That could take cost optimization to the next level. Any plans for live model swapping without downtime? So excited to see what's next! 🔥
@rocsheh thanks.. do give the platform a spin.. yes we are planning to add more advance monitoring.
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Super excited about the launch! The pay-when-you-use model and seamless autoscaling are game-changers for anyone building AI applications. It's always great to see solutions that make deploying ML models more accessible and cost-effective
Instantly, GPU infrastructure stands out as the obvious future in the AI world. I've been following Nilesh and Aishwarya's progress updates on LinkedIn, and it's clear you're all working on something truly significant.
With GPUs driving faster computations and supporting scalable, efficient AI models, Inferless seems poised for a major impact. Team’s passion shines through. Good luck—let’s go 🚀
@nilesh_agarwal22 @aishwaryagoel_08
Congrats on the PH launch, @aishwaryagoel_08 and team!
Coming from a startup background, I totally get the struggle of managing GPU infrastructure. Super interesting problem - making AI deployments super easy, no more wasted time or money on idle GPUs. Love the instant deployment and auto-scaling features. Kudos to the Inferless team for simplifying this process! Definitely recommending ti
Fable Wizard
Inferless really seems to simplify the process of deploying models with its flexible and cost-efficient approach—how do you see it helping small businesses streamline their workflows?
Inferless
@jonurbonas It's a great tool for small companies as they don't need to pay anything upfront
Inferless
Metaschool
Coming from a startup background, I totally get the struggle of managing GPU infrastructure. Super interesting problem - making AI deployments super easy, no more wasted time or money on idle GPUs. Love the instant deployment and auto-scaling features. Kudos to the Inferless team for simplifying this process! Definitely recommending it. 🙌
Inferless
Surgeflow
Huge congrats Aishwarya & team! 🎉 As someone who battled GPU provisioning headaches before, your sub-second cold starts + pay-per-millisecond model is a game-changer! ⚡ The Cleanlab integration case speaks volumes.
Have you considered adding granular model monitoring (like token cost breakdowns per API call)? That could take cost optimization to the next level. Any plans for live model swapping without downtime? So excited to see what's next! 🔥
Inferless
Super excited about the launch! The pay-when-you-use model and seamless autoscaling are game-changers for anyone building AI applications. It's always great to see solutions that make deploying ML models more accessible and cost-effective
Inferless
@karthik_sunkishala Lets goooo 🙌