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ML Drift: Google open-sources GPU AI/ML inference engine for edge devices.

Google's AI Edge team has open-sourced ML Drift, a high-performance, cross-platform edge device GPU computing engine for on-device AI/ML inference. By abstracting the complexity of hardware low-level APIs such as OpenGL ES, OpenCL, Metal, and WebGPU, ML Drift enables developers to build real-time interactive AI experiences.

Prime Intellect Compute platform officially launched: Global GPU resource aggregation and scheduling market

Prime Intellect Compute platform officially launched, aggregating global GPU resources to democratize instant computing. The platform offers a unified resource pool, supporting instant access from single GPU to 512+ GPU clusters. The first batch integrates 12 cloud service providers, with H100 GPUs priced at $1.5-4 per hour.

EUROPA Union trains a 1T parameter MoE model using PyTorch and TorchTitan on the JUPITER supercomputer

The EUROPA Union successfully trained a MoE model with 951.9B parameters on the JUPITER supercomputer using PyTorch and TorchTitan, increasing single GPU throughput from 90 to approximately 1,300 tokens/s with 384 NVIDIA GH200 GPUs.

ORNL, IBM, and AMD jointly announce the quantum error correction collaborative design platform

ORNL, IBM, and AMD deploy a quantum error correction (QEC) collaborative design platform at IBM's New York Poughkeepsie campus, integrating the IBM Quantum Nighthawk r2 processor with the ORNL Umbra HPC system, which includes the AMD Instinct MI355X GPU and 5th Gen AMD EPYC™ CPU, providing low-latency quantum-classical execution capabilities for algorithm development and validation in hybrid HPC-quantum computing environments.

C-BRAIN and NVIDIA are jointly using AI to accelerate dementia research

C-BRAIN and NVIDIA are using AI to change the pace of dementia research. They are accelerating the development of new therapies by integrating previously unpublished Alzheimer's research data, including unpublished results and controlled proprietary data. C-BRAIN employs a hybrid centralized and federated architecture to protect data privacy, deploying 64 NVIDIA data center GPUs and cloud nodes, and plans to introduce the NVIDIA Blackwell system to support its expansion goals.

Cohere Model Vault launches confidential computing features

Cohere Model Vault launches confidential computing feature in public test, bringing hardware-level protection and verifiable security for hosted enterprise AI. The feature runs inference on both CPU and GPU, protecting workload memory through hardware-enforced isolation and using NVIDIA confidential computing technology to encrypt GPU memory and traffic between CPU and GPU. Customers can verify the processing environment, including hardware, firmware, and software configuration, before sending sensitive data, ensuring data is protected during the reasoning process.

Databricks AI Runtime and NVIDIA simplify enterprise custom open models

Databricks AI Runtime (AIR) has been officially released, supporting developers to train and fine-tune open models on serverless NVIDIA GPU using NVIDIA NeMo, NGC containers, and Nemotron new recipes.

Meta's Prometheus Supercluster: The Journey to Build a Megawatt-Scale AI Infrastructure

Prime Intellect Lab: An end-to-end platform for training custom models

Prime Intellect Lab releases an end-to-end model training platform that integrates Environments Hub, hosting training and hosting evaluation, supporting large-scale agent reinforcement learning, reasoning, and evaluation without managing GPU clusters or algorithm details. The platform is built based on environments, including task datasets and executors, and has completed over 3000 reinforcement learning runs through private testing.

Cohere introduces North: The next-generation enterprise AI platform

Cohere launches the enterprise AI platform North, which enhances employee task efficiency and quality by securely accessing work data, combining generative search models, customizable agents, and built-in workflow automation. The platform supports private deployment and can run with as few as two GPUs, has been adopted by companies like RBC and Dell, covering key industries such as finance and healthcare, and features security characteristics like fine-grained permission control, autonomous policies, and compliance certifications.

Prime Intellect releases SYNTHETIC-2: a dataset of four million collaboratively generated reasoning trajectories.

Prime Intellect releases the SYNTHETIC-2 dataset, containing four million verified reasoning trajectories, covering the most comprehensive complex reinforcement learning tasks and validators to date. The dataset is generated through a pipeline parallel distributed reasoning collaboration involving global computing contributors, with 1,253 GPUs (including 49 8xH200 nodes, 43 8xH100 nodes, and a large number of consumer-grade 3090 and 4090 GPUs) participating in its creation over 3 days.

DeepSeek releases SYNTHETIC-2 open-source reasoning dataset and planetary-scale pipeline parallel reasoning system.

DeepSeek releases SYNTHETIC-2, which includes 20 complex reinforcement learning tasks and verification reasoning trajectories, supporting heterogeneous computing from consumer-grade GPUs to super-large-scale clusters, using the DeepSeek-R1-0528 model to generate data and label difficulty.

GeForce NOW will introduce new games like 'Warhammer 40,000: Dawn of War IV' and DLSS 5 technology

GeForce NOW will introduce 'Warhammer 40,000: Dawn of War IV', supporting cloud gaming experience of the Battle of Cronus; DLSS 5 technology will launch in 'War Thunder' and 'Where Winds Meet', performance improved tenfold over the previous version; 10 new games added this week, including 'Dragon's Dogma 2: Awakening of the Dark Elves'

Baseten achieves the world's fastest 15-second incremental weight sync

Baseten reduces the incremental weight sync time for the ~770 GB GLM-5.3 model from 36 seconds to 15 seconds, suspension time from 6 seconds to 0.8 seconds, and throughput increases 3.2 times.

Meta Andromeda: Enabling Next-Generation Ad Retrieval through Model-System Co-Design

Meta Andromeda's Next-Generation Ad Retrieval Engine Achieves Near-Ranking-Level Model Performance at the Retrieval Layer, Processing Over 1 Billion Ads Per Card Per Second, System Throughput Reaches 100 Billion Times Per Second, 100 Times Higher Than the 2024 Version, and Brings a 2.4% Conversion Rate Increase for Advertisers.

Prime Mega MoE: Rapidly integrate MoE kernels to accelerate training

Prime Mega MoE enables the DeepSeek Mega MoE kernel to be used for training by integrating backpropagation kernels, achieving up to 3.11 times faster MoE kernel speed compared to the default PyTorch implementation, and 1.34 times faster end-to-end training speed compared to the Prime-RL baseline.

Meta has launched its personal AI agent Muse, planning to build a large-scale agent network

Cohere launches Rerank 5: A precise and efficient enterprise document retrieval model

Cohere releases Rerank 5 Pro and Fast versions of its enterprise document retrieval models. The Pro version leads on major public benchmarks such as ViDoRe V3, nanoMTEB, BRIGHT, and BEIR, while the Fast version offers near-leading performance at a lower cost.

NVIDIA showcased its full lineup of local AI hardware: RTX Spark, DGX Spark, and DGX Station, helping to power next-generation intelligent agents.

NVIDIA showcased its full lineup of local AI hardware at GTC Berlin, with RTX Spark now available to support personal agents on Windows PCs, DGX Spark enabling developers to build and scale Linux applications, and DGX Station designed for Linux enterprise teams to run cutting-edge workloads, with the Windows version launching in December.

PyTorch 2.15 brings FP8 and faster LLM decoding to the MPS backend.

The Hugging Face PyTorch team introduces updates to the MPS backend in PyTorch 2.15, adding the tensor torch.float8_e4m3fn and F.scaled_mm, with FP8 tensors occupying half the space of BF16.

Gemini 4 Argon brings breakthrough progress to robotics technology

Gemini 4 Argon has achieved major breakthroughs in physical understanding, code generation, and visual semantic reasoning, achieving a pure reasoning score of 87% on the Embodied Reasoning (ERQA) benchmark test, surpassing all leading models. Argon can be applied to all stages of the robot's lifecycle, including mobile manipulation practice using MuJoCo, zero-shot robot control, and closed-loop steering of video world models.

NVIDIA RTX Spark's global PC application ecosystem is ready

NVIDIA RTX Spark integrates the capabilities of gaming PCs, creative studios, and personal AI supercomputers into a single superchip, equipped with up to 128GB of unified memory and 1 petaflop of AI computing power.

Gemini 4 Argon brings breakthrough progress to robotics technology

Gemini 4 Argon has made significant breakthroughs in physical understanding, code generation, and visual semantic reasoning, achieving an 87% score on the Embodied Reasoning (ERQA) benchmark test, surpassing all state-of-the-art models.

Humanity’s Sixth Sense review shows AI lacks intuitive visual reasoning capabilities; AI competition enters space age; AI systems show significant progress in scientific taste

Humanity’s Sixth Sense review shows GPT 6 Astra scores 53.6 in intuitive visual reasoning tasks with a pass@1 rate, far below the human baseline of 93.1, with the open-source Chinese model GLM-5.3-flash scoring 26.8 and Kimi K3 scoring 25.5.

NVIDIA and Microsoft team up to usher in a new era of AI agents for Windows PCs: RTX Spark and local AI calculator

NVIDIA and Microsoft collaborate to launch RTX Spark laptops and Windows AI agent infrastructure, supporting local running of 125B parameter Qwen 3.8 Flash Next models; Microsoft releases MXC operating system-level container to ensure agent secure operation, pre-orders for RTX Spark open today, paired with Grace Blackwell chip, offering up to 20 PFLOPS inference performance.

Google DeepMind releases EmbeddingGemma 2: an edge multimodal semantic search model

Google DeepMind released EmbeddingGemma 2, an open-weight multimodal embedding model with only 740M parameters, capable of unifying text, images, video frames, and audio into a single vector space.

GigaPath-Flash and GigaTIME-Flash: Efficiency breakthroughs towards large-scale pathology research

GigaPath-Flash and GigaTIME-Flash significantly reduce computational requirements through streamlined ViT-S encoders, making large-scale pathological research more feasible while maintaining performance.

Releasing Lab: The training platform for self-improving intelligent agents is officially launched

Releasing Lab is officially launching today as part of the Open Superintelligence Stack. This platform supports the full process of training self-improving agents, allowing users to specify tasks, define execution environments, evaluate models, train based on reward signals, check reasoning results, deploy adapters, and run reasoning.

Release of the open-source multi-modal model SWE-1.6 and research progress

SWE-1.6 achieves 11% higher scores on SWE-Bench Pro, but exhibits overthinking and self-validation issues, running at a speed of 950 tok/s. The model improves RL algorithms and expands infrastructure training, increasing computational volume by two orders of magnitude, currently opening early access to a small number of users to collect feedback.