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    <title>Chips, cloud, and compute — USASI news</title>
    <link>https://unitedstatesofamericasuperintelligence.com/hubs/chips-and-compute/</link>
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    <description>Dated, sourced news items about the organizations and records featured in the USASI Chips, cloud, and compute hub. Independent project. Not a United States government website.</description>
    <language>en-us</language>
    <lastBuildDate>Tue, 13 Oct 2026 12:00:00 GMT</lastBuildDate>
    <item>
      <title>NVIDIA and Cisco announce plans for USFP, a pluggable optics form factor, and an open specification</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-and-cisco-announce-usfp-optics-form-factor/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>governance</category>
      <description>On October 12, 2026 NVIDIA and Cisco announced plans for Ultra-Dense Small Form Factor Pluggable (USFP), an optical module form factor designed for 400Gb/s-per-lane electrical signals. The companies say they plan to create an open industry specification for USFP through an upcoming community-led multi-source project, and that they are working with TE Connectivity and Amphenol on USFP cages, connectors, and modules. The release describes the first USFP-based transceivers as planned and gives no availability date; the specification has not yet been published.</description>
    </item>
    <item>
      <title>NVIDIA contributes Vera Rubin rack and compute tray designs to the Open Compute Project</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-contributes-vera-rubin-designs-to-ocp/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>governance</category>
      <description>In an October 12, 2026 blog post tied to the OCP Global Summit, NVIDIA said it contributed Vera Rubin rack and compute tray designs to the Open Compute Project through its MGX architecture. The post says NVIDIA joined AMD, Google, and Meta at OCP to publish a new open specification, and describes the Open Data Center Specification v0.7 as a blueprint for AI factory facility design. It says the OCP Grid Resilience Specification was published by Google, Meta, Microsoft, and NVIDIA, and that NVIDIA expanded DSX OS with open-source components for configuring networks and validating clusters, without naming a license for them. USASI has not reviewed the contributed designs or specifications.</description>
    </item>
    <item>
      <title>White House science summit lists industry partners in the Genesis Mission Consortium</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/white-house-science-summit-genesis-consortium-partners/</link>
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      <pubDate>Sun, 11 Oct 2026 12:00:00 GMT</pubDate>
      <category>policy</category>
      <description>On October 8, 2026 the White House published a fact sheet on science initiatives announced at its &quot;Science: A New Golden Age&quot; summit. It says eleven industry partners committed SI-for-science tools and compute credits to the Genesis Mission Consortium, and names NVIDIA, AMD, OpenAI, Anthropic, Google, AMP, Emerald AI, AWS, Armada, Crusoe, and Micron. The same fact sheet says NIH, DOE, and Biohub launched a virtual biology initiative to build data and models for virtual cells. The fact sheet describes announcements and commitments rather than an executive order.</description>
    </item>
    <item>
      <title>CoreWeave launches Forge, bringing Weights &amp; Biases Models into one AI development platform</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/coreweave-launches-forge-with-weights-and-biases/</link>
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      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>CoreWeave announced CoreWeave Forge on September 30, 2026, a development platform that brings training, inference, evaluation, and agent development into one environment. Forge includes Weights &amp; Biases Models for tracking and comparing experiments. Weights &amp; Biases, which CoreWeave acquired in 2025, says W&amp;B software-as-a-service accounts now sign in through CoreWeave Forge and that self-hosted and dedicated deployments are unchanged. The open-source wandb client library remains available under the MIT License.</description>
    </item>
    <item>
      <title>llm-d 0.10.0 focuses on operational hardening and deprecates its own CUDA and AWS images</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/llm-d-0-10-0-released/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/llm-d-0-10-0-released/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>The llm-d project published version 0.10.0 on GitHub on September 29, 2026. The release notes name operational hardening and production readiness as the main themes and describe a new image build arrangement: images from main and official releases go to ghcr.io and are signed publicly with cosign, while images built from open pull requests go to quay.io and are not signed. The notes deprecate the ghcr.io/llm-d/llm-d-cuda image in favor of docker.io/vllm/vllm-openai and the llm-d-aws image in favor of an AWS vLLM container, and say the llmd-fs-connector has been integrated into vLLM as the OffloadingConnector. The llm-d-workload-variant-autoscaler repository has been renamed llm-d-autoscaling. USASI has not tested this release.</description>
    </item>
    <item>
      <title>NVIDIA releases Kumo Tabular, an open-weight model for predictions on tables</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-kumo-tabular/</link>
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      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA published Kumo Tabular on September 29, 2026: a pretrained model for classification and regression on tabular data that takes labeled example rows as context and predicts values for new rows without task-specific training. It comes in three sizes, from 28 million to 215 million parameters, and NVIDIA says it was pretrained entirely on artificial tables. The weights are on Hugging Face under the OpenMDW-1.1 license, and inference runs through NVIDIA's open-source structured-data-models library.</description>
    </item>
    <item>
      <title>NVIDIA launches Open Agent Safety Platform, pairing open-source OpenShell with a Sentry reference design</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-launches-open-agent-safety-platform/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-launches-open-agent-safety-platform/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA announced the NVIDIA Open Agent Safety Platform on September 28, 2026, describing it as an open software platform and reference system design to strengthen AI security from agent testing to deployment. It consists of NVIDIA OpenShell, open-source runtime software that traces agent actions and enforces policy, and NVIDIA Sentry, a reference design for an out-of-band watchdog that runs on BlueField-4 DPUs and can quarantine agents that attempt to move outside their boundaries. NVIDIA says the platform software, including OpenShell and skills, is available through its developer resources page and GitHub, and describes Sentry as built on NVIDIA DOCA software. USASI has not tested OpenShell.</description>
    </item>
    <item>
      <title>AMD agrees to acquire World Labs; the deal has not yet closed</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/amd-agrees-to-acquire-world-labs/</link>
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      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>acquisition</category>
      <description>AMD announced on September 28, 2026, that it has entered into a definitive agreement to acquire World Labs, the AI model and research lab that makes the Marble world-model product and the open-source Spark renderer. AMD says the transaction is expected to close by the end of 2026, subject to regulatory approvals and other customary closing conditions. Until it closes, World Labs is listed as an independent company.</description>
    </item>
    <item>
      <title>MLPerf Training adds an LLM post-training benchmark, starting with round v6.1</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/mlperf-training-adds-llm-post-training-benchmark/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/mlperf-training-adds-llm-post-training-benchmark/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>MLCommons announced on September 24, 2026 that MLPerf Training is adding an LLM post-training benchmark, beginning with the v6.1 submission round in October 2026. The benchmark reports the wall-clock time a system needs to reach a quality target when post-training Qwen3.5-397B-A17B with reinforcement learning with verifiable rewards, using Group Relative Policy Optimization, on Python software engineering problems from the R2E-Gym dataset. Agents work in sandboxed Linux containers, and the specification and reference implementation are in the mlcommons/training repository.</description>
    </item>
    <item>
      <title>Lemonade 2026.39.1 switches to calendar-based version numbers and adds image editing</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/lemonade-2026-39-1-adopts-calendar-versioning/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/lemonade-2026-39-1-adopts-calendar-versioning/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>The Lemonade project published Lemonade Server version 2026.39.1 on GitHub on September 23, 2026, three weeks after version 11.9.0. The release notes list a breaking change: the version format changed from X.Y.Z to YYYY.WW.N, so tools and scripts that parse version output or compare version strings must be updated. The release updates TheNoise to 0.7.1 with support for image editing and additional AMD GPUs, adds a /v1/docs endpoint for API reference documentation, and makes VRAM auto-eviction configurable. USASI has not tested this release.</description>
    </item>
    <item>
      <title>NVIDIA releases Nemotron 3 Diarization, an open-weight speaker diarization model</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-diarization/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-diarization/</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA released Nemotron 3 Diarization on September 23, 2026. The model identifies which speaker is talking at each point in an audio recording, for up to eight speakers, and can run on streaming audio as well as complete recordings. It is a Transformer encoder with about 100 million parameters, built with NVIDIA's NeMo speech tools. The weights are on Hugging Face under the OpenMDW License Agreement, version 1.1, and the model card says they are ready for commercial and non-commercial use.</description>
    </item>
    <item>
      <title>NVIDIA Dynamo 1.5.0 adds custom worker-selection policies and deprecates KVBM</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-dynamo-1-5-0-released/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-dynamo-1-5-0-released/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA published Dynamo v1.5.0, a feature release of its open-source distributed inference platform, on GitHub on September 21, 2026. The release notes say worker selection in Dynamo Router is now pluggable through custom scoring and picking policies, and that KV indexing extends to Mooncake and disk tiers. KVBM is deprecated, with removal targeted for v1.7.0. On Kubernetes, nvidia.com/v1beta1 becomes the CRD storage version, the Rust Endpoint Picker replaces the Go version, and Dynamo Snapshot moves to a standalone operator. The notes list SGLang v0.5.18, TensorRT-LLM v1.3.0rc25 and vLLM v0.28.0 as the engine versions. USASI has not tested this release.</description>
    </item>
    <item>
      <title>Isaac Lab 3.0 Early Access published with multi-backend physics and kit-less workflows</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/isaac-lab-3-0-early-access-released/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/isaac-lab-3-0-early-access-released/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>The Isaac Lab project published Isaac Lab 3.0 Early Access on GitHub on September 16, 2026. The release notes describe a multi-backend architecture in which supported tasks can switch physics, rendering or visualization backends without rewriting the environment, and say many workflows can now run without installing or launching Isaac Sim, for example with Newton physics. The release is built for Isaac Sim 6.1, Python 3.12, PyTorch 2.11, NVIDIA Warp 1.16 and Newton 1.5.2. Between Early Access and General Availability, which is targeted toward the end of October 2026, the release branch will focus only on bug fixes, stability, compatibility and documentation improvements. USASI has not tested this release.</description>
    </item>
    <item>
      <title>MLCommons publishes MLPerf Inference v6.1 results with two new tests</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/mlcommons-publishes-mlperf-inference-v6-1/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/mlcommons-publishes-mlperf-inference-v6-1/</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>MLCommons published results for version 6.1 of the MLPerf Inference benchmark suite on September 16, 2026. The round added two tests: an end-to-end retrieval-augmented generation test that runs a question-answering pipeline of several separate models, and an Edge Agentic Inference test built around multi-turn workloads such as agentic coding. Speculative decoding is now allowed in the interactive scenario for two of the inference benchmarks. Results are published on MLCommons' datacenter and edge results pages.</description>
    </item>
    <item>
      <title>Salesforce and NVIDIA announce Koa, a CRM reasoning model post-trained from NVIDIA Nemotron 3 Super</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/salesforce-announces-koa-crm-reasoning-model/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/salesforce-announces-koa-crm-reasoning-model/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On September 15, 2026 Salesforce and NVIDIA announced Koa, which it calls its first CRM reasoning model, built to help Agentforce agents reason through multistep workflows and use the right tools. Salesforce says Koa is a post-trained version of NVIDIA Nemotron 3 Super, trained with supervised fine-tuning and reinforcement learning on a proprietary synthetic dataset, and that no customer data was used in training. Koa is available to select pilot customers in Agentforce, with general availability expected in winter 2026 in U.S. regions. Salesforce says it controls the model weights and runs Koa within its own infrastructure as a Salesforce-hosted option; the announcement does not say that the weights will be released. USASI has not tested Koa.</description>
    </item>
    <item>
      <title>NVIDIA adds CUDA-Q Logical, a fault-tolerant quantum orchestration layer, to open-source CUDA-Q</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-adds-cuda-q-logical-to-cuda-q/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-adds-cuda-q-logical-to-cuda-q/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA announced on September 14, 2026 that its open-source CUDA-Q platform now includes CUDA-Q Logical, an orchestration layer for designing and testing applications for fault-tolerant quantum computers that use logical qubits. NVIDIA says CUDA-Q Logical is available through GitHub. The announcement also says that QUOPS, a cross-platform benchmark developed by Sandia National Laboratories to measure progress toward utility-scale quantum applications, has a reference implementation available in CUDA-Q. USASI has not tested CUDA-Q Logical.</description>
    </item>
    <item>
      <title>The NVIDIA-founded Open Secure AI Alliance moves to the Linux Foundation</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/open-secure-ai-alliance-joins-linux-foundation/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/open-secure-ai-alliance-joins-linux-foundation/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>governance</category>
      <description>The Linux Foundation announced on September 14, 2026 that the Open Secure AI Alliance, which NVIDIA established in collaboration with members including the Linux Foundation, has joined the Linux Foundation as a neutral home. The announcement says the alliance's work will run alongside existing Linux Foundation security communities, including the Open Source Security Foundation (OpenSSF). It names the Shared AI Findings Exchange (SAFE), an effort to collect and analyze findings from AI security incidents, as a core initiative, and invited contributions to the SAFE proposal until September 21.</description>
    </item>
    <item>
      <title>Red Hat AI 3.5 becomes generally available with EvalHub and wider llm-d support</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/red-hat-ai-3-5-generally-available/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/red-hat-ai-3-5-generally-available/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>Red Hat announced on September 9, 2026 that Red Hat AI 3.5 is generally available, including as part of Red Hat AI Factory with NVIDIA. The release makes EvalHub generally available for safety benchmarking and compliance reporting before deployment, shows Garak results on evaluated catalog models, integrates NeMo Guardrails to intercept malicious tool calls, and adds AutoRAG and observability features such as per-user token metering and MLflow agentic tracing. Red Hat says llm-d distributed inference now extends beyond OpenShift to third-party Kubernetes services, generally available on CoreWeave CKS and Microsoft Azure, with Amazon EKS in technology preview. USASI has not tested Red Hat AI 3.5.</description>
    </item>
    <item>
      <title>NVIDIA agrees to acquire Hugging Face; the deal has not yet closed</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-agrees-to-acquire-hugging-face/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-agrees-to-acquire-hugging-face/</guid>
      <pubDate>Tue, 29 Sep 2026 12:00:00 GMT</pubDate>
      <category>acquisition</category>
      <description>NVIDIA entered into a definitive agreement to acquire Hugging Face, Inc. on September 2, 2026, and announced it the next day. NVIDIA's Form 8-K says the transaction is expected to close in the first half of 2027, subject to closing conditions including regulatory approvals, so Hugging Face is still listed as a privately held company with no parent organization. NVIDIA says the Hugging Face platform will stay open to models from other developers and will not require NVIDIA hardware.</description>
    </item>
    <item>
      <title>MLCommons publishes MLPerf Storage v3.0 results with KV cache and vector database tests</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/mlcommons-publishes-mlperf-storage-v3-0-results/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/mlcommons-publishes-mlperf-storage-v3-0-results/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>MLCommons published results for version 3.0 of its MLPerf Storage benchmark suite on September 1, 2026. The suite measures the performance of storage systems for machine learning workloads, and v3.0 adds a KV Cache test of storage performance for LLM inference cache read and write operations and a Vector Database test covering vector indexing and querying. Version 3.0 also adds support for an S3 object storage access layer alongside the existing POSIX layer, supported for training, checkpointing, and some vector database tests. Results are on the MLCommons Storage benchmark results page.</description>
    </item>
    <item>
      <title>AMD releases ROCm Core SDK 10.0.0 with updated framework support and breaking AMD SMI changes</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/amd-releases-rocm-core-sdk-10-0/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/amd-releases-rocm-core-sdk-10-0/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>AMD published ROCm Core SDK 10.0.0 on August 26, 2026, as a release in the TheRock repository, which the release notes say has been ROCm's build and release system since ROCm 7.14. The notes say the release focuses on AI inference, developer tooling and profiling, and that it enables support for PyTorch 2.13.0, JAX 0.11.0 and 0.10.2, vLLM 0.27.0, SGLang 0.5.15, TensorFlow 2.21, MIGraphX 2.17 and ONNX Runtime 1.27.0. HIP adds inclusive and exclusive scan APIs to its cooperative groups library. The AMD SMI library has breaking changes: its major version is now 27.0.0, so software linked against libamd_smi.so.26 must be relinked. USASI has not tested this release.</description>
    </item>
    <item>
      <title>NVIDIA releases CUDA Python 1.0 with semantic versioning commitments</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-cuda-python-1-0/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-cuda-python-1-0/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA announced CUDA Python 1.0 on its technical blog on August 25, 2026, saying it released the milestone with CUDA 13.3 and that Python is now a supported way to use the CUDA platform. The post says 1.0 is a milestone rather than a single package version: components such as cuda.core 1.0.0, cuda.compute 1.0.0 and nvmath-python 1.0 are versioned independently, and what changes with 1.0 is a commitment to semantic versioning. NVIDIA notes that some newer pieces, including the Numba CUDA MLIR kernel generator, are not yet covered by that commitment. USASI has not tested these libraries.</description>
    </item>
    <item>
      <title>MLCommons releases MLPerf Client v2.0 with image generation and agentic AI tests</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/mlcommons-releases-mlperf-client-v2-0/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/mlcommons-releases-mlperf-client-v2-0/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>MLCommons released version 2.0 of MLPerf Client, its benchmark for running AI workloads locally on PCs, on August 18, 2026. The release adds an image generation category, with Flux.2 klein 4B as an experimental test, and an agentic AI category with Software Engineering Agent and Data Analyst Agent scenarios that break end-to-end results into LLM inference and tool execution time. Phi 4 Mini Instruct replaces Phi 3.5 mini instruct in the required LLM workloads, and Qwen 3 8B is added as an experimental test. MLCommons says v2.0 is free to download for Windows, macOS, and Linux from GitHub. USASI has not tested MLPerf Client.</description>
    </item>
    <item>
      <title>NVIDIA releases Nemotron 3.5 Lightning, an open 30B mixture-of-experts model for agents</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-5-lightning/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-5-lightning/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA's Hugging Face model card gives August 11, 2026 as the release date of NVIDIA-Nemotron-3.5-Lightning-30B-A3B, a model with 30B total and 3B active parameters built on a hybrid of Mamba-2, mixture-of-experts and attention layers, with reasoning that can be switched on or off through the chat template. The card lists the OpenMDW License Agreement, version 1.1, and points to a separate NVFP4 checkpoint for optimized inference. NVIDIA's developer blog says the model is designed for the high-volume execution work of long-running agents, ships with DFlash and DSpark draft models for speculative decoding, and is released with an open reinforcement learning dataset, Nemotron-RL Agentic Terminal Pivot. USASI has not tested the model.</description>
    </item>
    <item>
      <title>NVIDIA releases NeMo Speech 3.0, the first major release after the NeMo repository split</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-nemo-speech-3-0-released/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-nemo-speech-3-0-released/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA published NeMo Speech 3.0 on GitHub on August 7, 2026. The release notes call it the first major release after the repository was split and renamed to NVIDIA-NeMo/Speech, which now focuses on ASR, TTS, audio processing, speaker tasks and SpeechLM, while LLM, VLM, diffusion, export and evaluator collections have moved to separate repositories. The notes say the release's central focus is technical debt, including the removal of deprecated code and a migration to the uv package manager. They also list support for training SpeechLM models with NeMo Automodel and the training and evaluation modules behind Nemotron VoiceChat. USASI has not tested this release.</description>
    </item>
    <item>
      <title>AMD agrees to acquire Taalas, a developer of AI inference silicon</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/amd-agrees-to-acquire-taalas/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/amd-agrees-to-acquire-taalas/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>acquisition</category>
      <description>AMD announced on August 6, 2026, that it has reached a definitive agreement to acquire Taalas, a company founded in 2023 and headquartered in Toronto that develops specialized silicon for AI inference. AMD says it plans to integrate Taalas' technology into its accelerator roadmap and to develop system-level solutions with AMD Instinct GPUs. The release says the acquisition is subject to customary closing conditions and regulatory approvals, and it does not give an expected closing date. USASI has not seen an announcement that the deal has closed.</description>
    </item>
    <item>
      <title>MLCommons releases MLPerf Endpoints v0.7, a benchmark for buyers of hosted inference</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/mlcommons-releases-mlperf-endpoints-v0-7/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/mlcommons-releases-mlperf-endpoints-v0-7/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On July 28, 2026, MLCommons announced MLPerf Endpoints v0.7, a foundation release of a new MLPerf benchmark aimed at enterprise buyers procuring inference compute from neoclouds, cloud providers, and managed services. The release covers three benchmarks with initial results from CoreWeave, Google, Intel, KRAI, and NVIDIA, and supports automated submission pipelines, continuous review tooling, and dynamic result visualization. Results and tooling are at endpoints.mlcommons.org. MLCommons says it will deliver MLPerf Endpoints v1.0 later in 2026, with more buyer-centric rules and agentic workloads.</description>
    </item>
    <item>
      <title>NVIDIA and inaugural partners launch the Open Secure AI Alliance for open AI security tools</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-launches-open-secure-ai-alliance/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-launches-open-secure-ai-alliance/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>governance</category>
      <description>NVIDIA announced the Open Secure AI Alliance on July 27, 2026, describing it as an effort to develop and share open technologies, techniques and tools to safeguard software and AI agents. The inaugural partners NVIDIA lists include Cisco, Dell Technologies, HPE, Intel, Anyscale, Crusoe, Fireworks AI and the Linux Foundation, and NVIDIA says the alliance builds on the Linux Foundation's Akrites initiative and OpenSSF community work. NVIDIA says it is contributing open models, model weights, data and agent harness research, and that its open-source NVIDIA Labs Object-Oriented Agent (NOOA) research framework is available on GitHub. NVIDIA also names HPE's contributions to the SPIFFE/SPIRE identity framework among the alliance's work.</description>
    </item>
    <item>
      <title>AMD releases Instella-MoE, a 16B mixture-of-experts language model, under a research-only license</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/amd-releases-instella-moe/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/amd-releases-instella-moe/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>AMD introduced Instella-MoE in a ROCm blog post dated July 24, 2026: a mixture-of-experts language model with 16 billion total and 2.8 billion active parameters, trained from scratch on AMD Instinct MI300X and MI325X GPUs with the Primus and Miles frameworks. AMD says it is releasing model weights from every training stage, training configurations, data mixtures and code, and the Hugging Face checkpoints run from Instella-MoE-16B-A3B-Pretrain to the reinforcement-learning-tuned Instella-MoE-16B-A3B-Think. AMD calls the model fully open, but the model card says the models are licensed for academic and research purposes under a ResearchRAIL license and are released for research purposes only. USASI has not tested the models.</description>
    </item>
    <item>
      <title>NVIDIA releases Cosmos3-Edge, a 4B omnimodal world model, under OpenMDW-1.1</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-cosmos-3-edge/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-cosmos-3-edge/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA's Hugging Face model card gives July 20, 2026 as the release date of Cosmos3-Edge, a 4B-parameter model in the Cosmos3 collection, on both Hugging Face and GitHub. The card describes Cosmos3 as omnimodal world models built on a Mixture-of-Transformers architecture that take text, image, video and action-trajectory inputs and generate text, images, video and action outputs for physical AI uses such as robotics and autonomous vehicles. The model is released under OpenMDW-1.1 and is described as ready for commercial and non-commercial use. A note on the card says the generator checkpoint and runtime defaults were updated on August 25, 2026. USASI has not tested the model.</description>
    </item>
    <item>
      <title>NVIDIA releases Nemotron 3 Embed multilingual text embedding models in 1B and 8B sizes</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-embed/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-embed/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA's Hugging Face model cards give July 16, 2026 as the release date of Nemotron-3-Embed-8B-BF16 and Nemotron-3-Embed-1B-BF16, text embedding models for retrieval and semantic similarity in retrieval-augmented generation systems. The cards say the models were evaluated across 34 languages and output 4096-dimensional (8B) and 2048-dimensional (1B) vectors that can be shortened by slicing and re-normalizing. Both are licensed under OpenMDW-1.1, and the 8B card says it is built with Mistral AI's Ministral-3-8B-Instruct-2512, released under Apache 2.0. USASI has not tested the models.</description>
    </item>
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