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Nvidia backs open-source AI, fueling hardware spending; IBM partners for inference

Nvidia is emphasizing its support for open-source AI initiatives, which is expected to boost hardware spending. The company's Nemotron 3.5 Lightning model, an open-weight system with 3.6 billion parameters, demonstrates performance comparable to OpenAI's GPT-OSS 120B on intelligence tests while achieving a high processing speed. Separately, IBM is investing $240 million in a partnership with Together AI to deploy Nvidia Blackwell systems on IBM Cloud, aiming for cost-effective open-source inference. Meanwhile, Fei-Fei Li has expressed concerns that AI in classrooms could negatively impact student motivation beyond just facilitating cheating. AI

IMPACT Nvidia's open-source focus and IBM's investment in inference infrastructure signal continued growth and competition in the AI hardware and deployment sectors.

RANK_REASON Multiple significant industry players (Nvidia, IBM, OpenAI) are involved in AI hardware, model releases, and strategic partnerships, with a notable opinion piece on AI's educational impact.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 4 sources. How we write summaries →

Nvidia backs open-source AI, fueling hardware spending; IBM partners for inference

COVERAGE [4]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    Nvidia Underscores Support for Open-Source AI, a Boon for Hardware Spending https://www. byteseu.com/2267640/ # AI # Anthropic # ArtificialIntelligence # Intel

    Nvidia Underscores Support for Open-Source AI, a Boon for Hardware Spending https://www. byteseu.com/2267640/ # AI # Anthropic # ArtificialIntelligence # Intel # Nvidia # OpenAI # SiliconValley

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Nvidia’s Nemotron 3.5 Lightning, an open-weight model with 3.6 billion active parameters, matches OpenAI’s gpt-oss-120b on intelligence tests while running at n

    Nvidia’s Nemotron 3.5 Lightning, an open-weight model with 3.6 billion active parameters, matches OpenAI’s gpt-oss-120b on intelligence tests while running at nearly 670 tokens per second. A deliberate trade-off for speed over scale. Source: The Decoder AI https:// the-decoder.co…

  3. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Fei-Fei Li warns AI in classrooms could erode student motivation, not just enable cheating, in a new Huberman Lab podcast interview. Source: The Next Web https:

    Fei-Fei Li warns AI in classrooms could erode student motivation, not just enable cheating, in a new Huberman Lab podcast interview. Source: The Next Web https:// thenextweb.com/news/fei-fei-li -ai-schools-student-motivation-learning # AI

  4. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    IBM bets $240 million on cost-effective open-source inference via a deal with Together AI to deploy Nvidia Blackwell systems on IBM Cloud Source: The Next Web h

    IBM bets $240 million on cost-effective open-source inference via a deal with Together AI to deploy Nvidia Blackwell systems on IBM Cloud Source: The Next Web https:// thenextweb.com/news/ibm-togeth er-ai-240m-nvidia-inference-cluster # AI # IBM # Nvidia