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Wednesday113 items

  2. Unite.AIProduct release
    AI score67

    Google Cloud Brings GPT-Astra and GPT-6 Series to Model Garden

    On October 21, 2026, Google Cloud announced the launch of OpenAI's GPT-Astra, GPT-6.1 Sol, and GPT-6 Luna on Model Garden, with all three models opening private preview to select enterprise customers the same day. GPT-Astra targets coding, computer operation, professional tasks, and scientific research; GPT-6.1 Sol focuses on lower-cost agentic coding and professional work; GPT-6 Luna is positioned for fast, low-cost large-scale everyday tasks. OpenAI models are billed through Google Cloud Marketplace, with usage consolidated into a single bill and applied toward existing cloud commitments, allowing customers to dynamically switch models based on performance, latency, and cost.

    Same story · 13 reports

    #Product updates#OpenAI#Google

  5. heise onlineProduct release
    AI score72

    Nvidia launches Open Agent Safety Platform, using BlueField-4 DPU to monitor agents

    At GTC Berlin, Nvidia launched the Open Agent Safety Platform, adding hardware-level controls around the open-source runtime OpenShell; a BlueField-4 DPU works with Sentry software to independently monitor agent behavior and, when it crosses boundaries, isolate and stop it within milliseconds. OpenShell supports third-party agent frameworks such as Anthropic's Claude Code and OpenAI's Codex, and Nvidia says more than 100 organizations already use the platform's technology. Nvidia also introduced the Agent Knowledge Foundation and the Auto-Ontology library, designed to let agents access structured and unstructured data without enterprise data leaving local premises, and expanded its Nemotron 3.5 Super VL, Nemotron 3.5 Bolt 74B-A9B and Kumo series models.

    #Product updates#Agents#Safety / alignment

  9. ElevenLabs BlogFirst-partyProduct release
    AI score60

    ElevenLabs launches Eleven Realtime Translation real-time speech translation model

    ElevenLabs releases the real-time speech translation model Eleven Realtime Translation, currently available in alpha form to ElevenAPI enterprise customers. The model uses the low-latency speech model Eleven v4 Turbo by default, supports more than 90 languages and automatic language detection, keeps the same voice consistent across languages, and can be selected from a library of more than 17,500 voices or custom voice clones. Teams can adjust the translation startup speed, trading off between high-quality translation and low latency on complex calls; Deutsche Telekom has already built new call features based on ElevenLabs in its Magenta AI Call Assistant.

    Smiling person with tousled hair against a neutral background.

    #Model releases#Speech#Multimodal

  10. t3nProduct release
    AI score52

    DeepSeek open-sources the Deepinfer inference framework, lowering the cost of self-hosted model deployment

    DeepSeek has open-sourced its internal inference framework Deepinfer on GitHub, with the goal of reducing the compute and energy costs of deploying models on your own. During the inference stage, the framework distributes load more evenly across available processor cores, uses speculative decoding to speed up responses, and improves the structure of results before output; it currently supports only DeepSeek-V4.1-Flash, with more of its own models to be opened up later. On the hardware side, it requires Nvidia GPUs with the SM100 architecture or Huawei Ascend 950 NPUs, so it is not aimed at individual users.

    Same story · 29 reports

    #English text is being prepared.#English text is being prepared.#DeepSeek

  14. openbmbProduct release
    AI score63

    English translation is being prepared.

    Quoted postOpenBMB · @OpenBMB

    35B multimodal AI. Running locally on an iPhone. Now at over 20 tokens/sec. 🚀 MiniCPM-V 4.7 achieves 20.51 tokens/sec average decoding speed on iPhone 18 Pro Max (12GB) — a 6.07× speedup over the same device’s unoptimized SSD expert-loading baseline. ⚡ Behind the speed: Lookahead Expert Scheduling (LES), optimized expert loading, fine-grained quantization, and DSpark speculative decoding. 📱 Watch the new on-device demo below. Powerful multimodal AI, right in your pocket. Try it 👇 🔗 GitHub: https://t.co/msjm2QkTGp 🤗 Hugging Face: https://t.co/W95QKGh0wY LES: https://t.co/6Ul7qXBItU #MiniCPM #OpenBMB

    Same story · 2 reports

    #Product updates#English text is being prepared.#Reasoning

  19. The New StackProduct release
    AI score55

    Nvidia unveils DSX POD containerized AI factory reference design

    Nvidia announced the DSX POD reference design at GTC Berlin, enabling partners to install Vera Rubin racks, networking, and liquid cooling into containers at the factory before delivery. Each container holds 7 Vera Rubin NVL72 racks, totaling 504 Rubin GPUs, and comes pre-installed with about 20 kilometers of copper cable and 17 kilometers of scale-out networking, weighing about 28 tons; as long as the site already has power, cooling, and networking in place, it can start producing tokens in as little as 14 days. Nvidia says the system's cooling uses no water, Vera Rubin can run on 45 degrees Celsius coolant, and at a 2-gigawatt deployment, dry coolers can save about 54 million liters of water per day compared with cooling towers. Partners will begin global deliveries in early 2027.

    Same story · 20 reports

    #Product updates#English text is being prepared.#English text is being prepared.

  20. The New StackProduct release
    AI score62

    Nvidia adds Agent Knowledge Foundation to Agent Toolkit

    At GTC Berlin, Nvidia added Agent Knowledge Foundation to Agent Toolkit, packaging the Nemotron Retriever models, the new Auto-Ontology library, the Kumo family of models for structured data, and CUDA-X data processing libraries; data remains in place and is managed under enterprises' existing permissions. Nvidia says Nemotron Retriever improved search relevance by 65% in tests in the open-source OpenSearch environment, SAP's fine-tuned reranker runs nearly three times faster, and ServiceNow's reranking delivers better quality with latency reduced by nearly 25%. Auto-Ontology provides a REST API and an MCP server for agents to query, and Nvidia says it does not compete with data platforms such as Snowflake but rather partners with them.

    #Product updates#Agents#RAG