Nvidia acquires SchedMD to strengthen open-source Slurm and unveils Nemotron 3 AI models
11 Sources
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Nvidia bulks up open source offerings with an acquisition and new open AI models | TechCrunch
Nvidia continues to expand its footprint in open source AI on two fronts: an acquisition and a new model release. The semiconductor giant announced Monday it acquired SchedMD, the leading developer of popular open source workload management system Slurm. Nvidia said the company will continue to
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Nvidia pledges more openness as it slurps up Slurm
Nvidia burnished its open source credentials this week after buying the company behind the veteran Slurm scheduler and announcing a slew of open source AI models. The chip giant revealed yesterday that it had acquired SchedMD, the key developer behind Slurm, which Nvidia described in a statement
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NVIDIA Acquires Open-Source Workload Management Provider SchedMD
NVIDIA will continue to distribute SchedMD's open-source, vendor-neutral Slurm software, ensuring wide availability for high-performance computing and AI. NVIDIA today announced it has acquired SchedMD -- the leading developer of Slurm, an open-source workload management system for
[4]
Nvidia bolstering open-source capabilities amid latest acquisition
The chipmaker plans to increase investment and drive innovation for researchers, developers and enterprises. Semiconductor giant Nvidia, having recently made waves as the first company to reach a market value of $5trn, has announced additional plans to significantly broaden its open-source
[5]
Nvidia acquires Slurm developer SchedMD to enhance its software capabilities - SiliconANGLE
Nvidia acquires Slurm developer SchedMD to enhance its software capabilities Nvidia Corp. has acquired SchedMD LLC, a low-profile company that maintains one of the most important open-source tools in the machine learning ecosystem. The chipmaker announced the deal today. The financial terms were
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Nvidia acquires SchedMD and launches Nemotron 3
Nvidia announced on Monday its acquisition of SchedMD, developer of the open-source workload manager Slurm, and the release of a new family of open AI models called Nvidia Nemotron 3 to expand its open-source AI offerings. SchedMD serves as the leading developer of Slurm, a workload management
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Nvidia buys AI software provider SchedMD to expand open-source AI push
The chip designer built its reputation on speedy chips, but it also offers a range of its own AI models, from physics simulations to self-driving vehicles, as open-source software that researchers and companies can use. Nvidia said on Monday it acquired AI software firm SchedMD, as the chip
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Nvidia Bought Slurm's Creator: It Makes Sense To One Partner, Another Is Concerned
The SchedMD acquisition makes sense to one top Nvidia channel partner because of the increasingly complex work required to run AI data centers, but it's sparking concern for another because of the AI infrastructure giant's history with a previous software acquisition. Nvidia said on Monday that it
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Futurum CEO Says Nvidia Has Fortified Its CUDA Dominance After SchedMD Deal Tightens Grip On AI Infrastructure: 'Not An Easy Thing To Do' - NVIDIA (NASDAQ:NVDA)
Nvidia Corp.'s (NASDAQ:NVDA) acquisition of AI software firm SchedMD is being seen by industry analysts as a strategic move that further entrenches the chipmaker's dominance across the AI software and infrastructure stack. Nvidia Expands Beyond Chips To Strengthen Its AI Software Ecosystem On
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Nvidia Acquires SchedMD to Support Open-Source Workload Management for AI | PYMNTS.com
By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. Slurm, a workload management system for high-performance computing (HPC) and
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Nvidia buys AI software provider SchedMD to expand open-source AI push
Dec 15 (Reuters) - Nvidia said on Monday it acquired AI software firm SchedMD, as the chip designer doubles down on open-source technology and steps up investments in the artificial intelligence ecosystem to fend off rising competition. The chip designer built its reputation on speedy chips, but
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Nvidia acquired SchedMD, the developer behind Slurm workload management system, while launching the Nemotron 3 family of open AI models. The chipmaker pledges to maintain Slurm as vendor-neutral software while accelerating development for high-performance computing and AI. The move signals Nvidia's push to control more of the AI infrastructure stack while positioning itself as an open-source champion.
Nvidia Acquires SchedMD to Enhance Software Capabilities
Nvidia announced Monday it has acquired SchedMD, the leading developer behind Slurm, an open-source workload management system that has become critical infrastructure for high-performance computing and AI
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. The semiconductor giant did not disclose financial terms of the deal, but emphasized its commitment to continue developing and distributing Slurm as vendor-neutral software3
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Source: TechCrunch
SchedMD was founded in 2010 by Morris Jette and Danny Auble, the lead developers of Slurm, which originally launched in 2002 with backing from Lawrence Livermore National Laboratory and France's Groupe Bull
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. The company provides professional services to several hundred customers including cloud providers, manufacturers, AI companies, research labs, government agencies, banks and healthcare organizations spanning industries from autonomous driving to financial services3
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.Why Slurm Matters for Managing Server Clusters for Machine Learning
Slurm serves as a job scheduler that automates the complex task of determining which GPUs should perform specific tasks and when during AI training workloads
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. Training large language models on a single graphics card is prohibitively time-consuming, so companies distribute workloads across numerous GPUs to enable parallel calculations. This creates significant complexity in avoiding situations where some GPUs remain underutilized or busy chips cause unnecessary delays.
Source: PYMNTS
The workload manager is used in more than half of the top 10 and top 100 systems in the TOP500 list of supercomputers
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. One of Slurm's key differentiators over alternatives like Kubernetes is its scalability—the platform can manage data clusters with more than 100,000 GPUs5
. It also provides fine-grained customization options, allowing developers to place workloads that exchange data regularly on adjacent servers to minimize data travel distances.Bolstering Open-Source Capabilities While Strengthening Ecosystem Control
Nvidia has been collaborating with SchedMD for over a decade and stated it will continue investing in Slurm's development to ensure it remains the leading open-source scheduler for HPC and AI
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. The chipmaker plans to accelerate SchedMD's access to new systems, allowing users of Nvidia's accelerated computing platform to optimize workloads across their entire compute infrastructure while supporting a diverse hardware and software ecosystem2
.Danny Auble, CEO of SchedMD, called the acquisition "the ultimate validation of Slurm's critical role in the world's most demanding HPC and AI environments"
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. However, observers suggest the acquisition inevitably strengthens Nvidia's grip on the overall stack, with expectations that its silicon will have a speed advantage when running the tool2
. Nvidia has regularly been accused of locking customers into its ecosystem through its CUDA software platform as much as its hardware.Related Stories
Nemotron 3 Family of Open AI Models Targets Agentic Systems
Alongside the acquisition, Nvidia released the Nemotron 3 family of open AI models, which the company claims is the most efficient family of open models for building accurate AI agents
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. The family includes three models with a hybrid latent mixture-of-experts architecture: Nemotron 3 Nano, a 30 billion-parameter model activating up to 3 billion parameters at a time for targeted tasks; Nemotron 3 Super, approximately 100 billion parameters for multi-agent applications; and Nemotron 3 Ultra, with 500 billion parameters for complex AI applications2
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Source: ET
The new architecture delivers significant performance improvements, with the Nano model achieving four times the token throughput compared to its predecessor
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. Nvidia said the releases support its broader sovereign AI efforts. Jensen Huang, founder and CEO of Nvidia, stated that "open innovation is the foundation of AI progress" and that Nemotron transforms advanced AI into an open platform giving developers the transparency and efficiency needed to build agentic systems at scale1
.Accelerate AI Innovation Through Strategic Open-Source Positioning
In recent months, Nvidia has pushed to bolster its open-source and open AI offerings as part of its bet that physical AI will be the next frontier for its GPUs
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. Last week, the company announced Alpamayo-R1, a new open reasoning vision language model focused on autonomous driving research, and added workflows covering its Cosmos world models to help developers build physical AI. Earlier this year, Nvidia open sourced the Kubernetes native KAI scheduler inherited through its Run:AI purchase and its cuOpt optimization engine at GTC in March2
.The chipmaker, which recently became the first company to reach a market value of $5 trillion, has invested heavily in advanced sectors over the past year
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. This includes plans to invest £2 billion into the UK's AI start-up ecosystem and a planned $5 billion stock purchase of struggling competitor Intel alongside a partnership to jointly develop data centre and personal computer products. Nvidia wants to position itself as the go-to supplier for robotics and self-driving vehicle companies seeking AI and software to develop the technology's underlying intelligence, while addressing criticisms about ecosystem lock-in through strategic open-source moves that simultaneously strengthen its infrastructure control.🟡 electricians.com)References
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