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Hot French startup ZML releases free product to speed inference across lots of AI chips
The days of Nvidia's unparalleled market dominance aren't over, but challengers and choices are arising from all directions. ZML, a hot French AI startup endorsed by Turing Award winner Yann LeCun, has released inference-performance software that allows a variety of open-source large language models to run on a variety of chips -- including Nvidia's, AMD's, Google's TPU, Apple Metal and Intel Arc. With ZML/LLMD, the newly launched LLM inference server, the company's ambition is to break existing silos and make different chips available for AI use cases at their maximum available speed, and sometimes faster, ZML founder Steeve Morin told TechCrunch. As AI becomes integrated into our work and everyday lives, optimizing inference -- aka, the processing of prompts -- has been outpacing model raining in importance, but often feels patchy behind the scenes, with software and architecture barriers that lead to vendor lock-in, Morin said. The promise of achieving peak performance across a variety of chips is a technological feat, but it could also be a market disruptor, amid mounting fears over AI-related costs. ZML hopes to provide enterprises and clouds with the option to use a mix of chips, some of which might be less costly or consume less energy. "The idea is to give people back the power to create their own system and achieve real efficiency gains that allow [AI] to be disseminated," Morin said. Such a software assist may help novel AI chipmakers, many of which happen to be from Europe, Morin observed, citing Axelera, Fractile, Kalray, OLIX, Q.ANT, SiPearl, SpiNNcloud, and VSORA. But more than their region of origin, what matters to him is that ZML can work with them on "things that haven't been done before anywhere in the world." That doesn't mean Morin is bearish on Nvidia. He's not, in part because of its existing supply. He told TechCrunch that ZML has a good relationship with the AI chip giant, which has been gearing up for the rise of inference. Inference has been an area of such intense investment, that the trend has been hailed the "inference gold rush." So ZML has competition such as Baseten, recently valued at $13 billion; Inferact, from the creators of open source project vLLM; as well as RadixArk, the commercial company behind SGLang. Both vLLM and SGLang partially compete with LLMD, but Morin's ambitions for ZML cover a broader spectrum. "We have reached the point where we are co-designing silicon," he said. He further credited ZML's lean team of 20 people as the reason why the Paris-based startup has been able to move fast, with more releases in the plans. It also helped that this small team is well funded for its size. Thanks to his track record as VP of engineering of Zenly, which Snapchat acquired for nine figures in 2017, Morin raised $20 million from venture firms including Harry Stebbings' 20VC, >commit, AALVC, Drysdale Ventures, Xavier Niel's Kima Ventures, Kindred Capital, LocalGlobe, and Puzzle Ventures. Unlike ZML's first public project, the inference-focused ML framework released in 2024 and updated in March, ZML/LLMD is not open source. But it is launching as a free product with the goal of learning about usage. "I'd rather measure and [then generate revenue] where it is most effective without hindering my growth stupidly because I have been too greedy from the get-go," Morin said. It is too early to tell when ZML/LLMD might become a paid product, and what its adoption will look like. But the startup's cap table confirms that other founders are paying attention, including Dagger and Docker founder Solomon Hykes, Clément Delangue and Julien Chaumond from Hugging Face, as well LeCun, now with AMI Labs. This also builds the case that Europe's AI startups can now build from home. "I couldn't do ZML anywhere but in Paris," Morin said.
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ZML's free AI server runs on any major chip
A Paris startup wants to loosen Nvidia's grip on AI, not with a new chip, but with software. ZML has released a free tool that runs open-source models fast across Nvidia, AMD, Google, Apple and Intel silicon alike. A Paris startup wants to loosen Nvidia's grip on AI, not with a new chip, but with software. ZML has released a free tool that runs open-source models fast across Nvidia, AMD, Google, Apple and Intel silicon alike. Nvidia still rules AI hardware, but its walls keep thinning. ZML, a Paris startup backed by AI pioneer Yann LeCun, has released free software that runs open-source language models across a mix of chips, TechCrunch reports. The list spans five targets: Nvidia, AMD, Google's TPUs, Intel and Apple. The tool, ZML/LLMD, is an inference server. Inference means running a trained model to answer prompts, the part of AI that now eats most of the compute. Founder Steeve Morin says the goal is to break the silos that lock users to one vendor, and to squeeze each chip to its top speed. Why a mix of chips matters Cost is the driver. As AI bills climb, enterprises and clouds want the freedom to pick cheaper or less power-hungry silicon for a given job. "The idea is to give people back the power to create their own system," Morin said. Do that well, and it reads less like a feature and more like a wedge under Nvidia's moat. It could also lift a wave of novel chipmakers, many of them European. Morin name-checked Axelera, Fractile, Kalray, SiPearl, VSORA and others. Software that treats their chips as first-class, not second-best, gives buyers a real reason to try them. A crowded, costly race Morin does not write off Nvidia, and says ZML has a good relationship with the chip giant. But the field is crowded. The "inference gold rush" has minted rivals like Baseten, recently valued at $13bn, plus the teams behind the open-source projects vLLM and SGLang. All chase the same prize: making AI cheaper to run. Morin thinks ZML reaches further. "We have reached the point where we are co-designing silicon," he said. His lean team of 20 has shipped fast, with more releases to come. Why it matters LLMD ships free for now to gather usage, not yet a paid product. Its unusual root is the bigger signal. A tool built to loosen Nvidia's grip and to back Europe's own AI stack landed from Paris, not Silicon Valley. Morin, who raised $20m from investors including Xavier Niel's Kima Ventures, put it plainly. "I couldn't do ZML anywhere but in Paris," he said.
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Paris-based ZML, backed by Turing Award winner Yann LeCun, released ZML/LLMD, a free inference server that runs open-source language models across Nvidia, AMD, Google TPU, Intel Arc, and Apple Metal chips. The software aims to break vendor lock-in and reduce AI compute costs by letting enterprises mix chips for optimal performance and efficiency.
ZML, a French AI startup backed by Turing Award winner Yann LeCun, has launched ZML/LLMD, a free inference-performance software designed to run open-source large language models across multiple AI chips
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. The newly released LLM inference server supports Nvidia, AMD, Google TPU, Intel Arc, and Apple Metal, aiming to break existing silos and deliver maximum available speed across diverse hardware platforms1
.Founder Steeve Morin told TechCrunch that the software addresses a critical gap in AI infrastructure: as AI becomes embedded in daily work and life, the need to optimize large language model inference has outpaced model training in importance, yet software and architecture barriers often lead to vendor lock-in
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. The tool runs on any major chip, treating each as a first-class target rather than forcing users into a single vendor's ecosystem2
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Source: TechCrunch
The promise of achieving peak performance across various AI chips could prove to be a market disruptor amid mounting concerns over AI compute costs
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. ZML hopes to provide enterprises and cloud providers the option to use a mix of chips, some of which might be less costly or consume less energy. "The idea is to give people back the power to create their own system and achieve real efficiency gains that allow [AI] to be disseminated," Morin explained1
.As AI bills climb, this flexibility reads less like a feature and more like a wedge under Nvidia's moat
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. The ability to break vendor lock-in gives buyers real reasons to experiment with alternative silicon, potentially reshaping procurement strategies across the industry. Cost now drives the push for multi-chip strategies, as enterprises seek cheaper or less power-hungry options for specific workloads2
.The software assist may help novel AI chipmakers, many of which happen to be from Europe, Morin observed, citing Axelera, Fractile, Kalray, OLIX, Q.ANT, SiPearl, SpiNNcloud, and VSORA
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. Software that treats these chips as first-class gives buyers a genuine alternative to established players2
. What matters most to Morin is that ZML can work with these companies on "things that haven't been done before anywhere in the world"1
.Morin's ambitions extend beyond software optimization. "We have reached the point where we are co-designing silicon," he said, suggesting ZML's influence may shape future hardware development
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. This positions the Paris-based startup at the intersection of software and hardware innovation, potentially accelerating AI infrastructure democratization.Related Stories
AI inference has become an area of intense investment, a trend hailed as the "inference gold rush"
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. ZML faces competition from Baseten, recently valued at $13 billion, Inferact from the creators of open-source project vLLM, and RadixArk, the commercial company behind SGLang1
. Both vLLM and SGLang partially compete with LLMD, though Morin's ambitions cover a broader spectrum1
.Despite the competitive landscape, Morin maintains he's not bearish on Nvidia, partly because of its existing supply, and notes that ZML has a good relationship with the AI chip giant
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. Nvidia has been gearing up for the rise of inference, recognizing that processing prompts now consumes most AI compute1
.ZML's lean team of 20 people has been able to move fast, with more releases planned
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. The small team is well funded for its size: thanks to Morin's track record as VP of engineering at Zenly, which Snapchat acquired for nine figures in 2017, he raised $20 million from venture firms including Harry Stebbings' 20VC, Xavier Niel's Kima Ventures, LocalGlobe, and others1
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.Unlike ZML's first public project released in 2024 and updated in March, ZML/LLMD is not open source but launches as a free product with the goal of learning about usage
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. "I'd rather measure and [then generate revenue] where it is most effective without hindering my growth stupidly because I have been too greedy from the get-go," Morin said1
. The startup's cap table includes Docker founder Solomon Hykes, Hugging Face's Clément Delangue and Julien Chaumond, and Yann LeCun, now with AMI Labs1
.The launch builds the case that Europe's AI startups can now build from home. "I couldn't do ZML anywhere but in Paris," Morin said
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. This signals a shift where critical AI infrastructure innovation emerges from Paris rather than Silicon Valley, potentially reshaping the geographic distribution of AI development2
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