Positron AI @positron_ai
Developing the next generation of machine learning hardware and software positron.ai Reno, NV Joined August 2023-
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⚡️Pod with @trsohmers and Mitesh Agrawal of @positron_ai! youtube.com/watch?v=9bCICt… the current bottleneck in AI inference is memory bandwidth, not compute, and Positron AI has developed a novel architecture that is significantly more efficient at handling the memory-bound nature…
DFJ Growth's AI portfolio @OpenAI @xai @scale_AI @positron_ai Get to know why Positron is on this list - blog & WSJ feature below
A new VentureBeat article just landed about Positron.AI. venturebeat.com/ai/positron-be…
DFJ Growth is delighted to announce our investment in @positron_ai Series A financing and to partner with the company in building a leading platform for AI compute. @mitesh711, @trsohmers, and team are bringing this vision to life by moving us one step closer to a world where…
GPUs made training massive models possible, but inference needs better memory capacity, memory bandwidth utilization, more power efficiency, and an architecture built bottom up with transformers in mind. To that end, I'm excited to share that Positron just raised a $51.6M Series…
My startup, @positron_ai just raised $51.6M Series A to rebuild the infrastructure powering AI inference and bring Superintelligence to everyone. Led by Valor Equity Partners (@valorep) , Atreides Management (@Atreidesmgmt) , and DFJ Growth (@dfjgrowth) —the same teams behind…
We are excited to announce that @positron_ai has raised $51.6M Series A led by Valor Equity Partners, @Atreidesmgmt and @dfjgrowth with participation from Resilience Reserve, Flume Ventures, 1517 Fund and Unless. We are looking forward to working closely with @GavinSBaker ,…
Why we built Positron. Simple: To enable Superintelligence for everyone through the best performance-per-dollar and per-watt systems for generative AI inference. Positron’s first-generation product, Atlas, is shipping now, and we are happy to announce that Positron’s…
We’ve spent enough late nights fighting bloated GPUs to know something had to change. GPUs were a great starting point—but the chronic Nvidia shortages, massive power draw, and memory bottlenecks were killing our ability to deploy transformer models effectively at scale. We got…
@GroqInc @CerebrasSystems I’m sure you know that GPUs often have famously poor memory bandwidth utilization for AI (in the order of 30%); with hardware optimization, it is perfectly possible to utilize more of that bandwidth than GPUs can/do (see: @positron_ai) (7/x)
Deploy your trained models instantly—zero rewrites. GPUs lock you into their ecosystem, forcing complex integrations, endless compiler headaches, and frustrating delays. We built Positron Atlas differently: zero rewrites, zero friction. Upload your Nvidia-trained Hugging Face…
Even the best-trained model fails if the deployment stack can’t keep up. Most companies treat inference as an afterthought. They spend millions optimizing for training, then try to retrofit that same infrastructure to run real-world workloads, only to watch performance degrade…
The demand for inference is skyrocketing. That's why we focused on maximizing inference performance and designing the best memory bandwidth utilization ratio solution. Positron Atlas: the best AI accelerator designed exclusively and unapologetically for inference workloads. It's…
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