C-BRAIN, in collaboration with NVIDIA, is using AI to accelerate Alzheimer's research and has launched two open-source tools, OpenScientist and InsightEngine. OpenScientist can complete analyses that originally took weeks to months in just a few minutes, at a cost of less than $10 per run. C-BRAIN currently covers more than 200 research groups, runs 64 NVIDIA data center GPUs locally, and plans to introduce Blackwell systems.
ARC Prize announced the verified ARC-AGI results for NVIDIA Nemotron 3.5 Super VL: a score of 1.94% on ARC-AGI-2 at $0.02 per task; a score of 22.67% on ARC-AGI-1 at $0.03 per task. This is the first NVIDIA model evaluated by ARC Prize.
SWI Compute emerged from stealth on October 26, announcing plans to build and operate NVIDIA AI factories in Europe, backed by 3.6GW of power capacity and roughly $1 billion in NVIDIA system orders. The first facility, in Cambridge, UK, will start at 30MW, deploying nearly 7,000 Rubin GPUs and 3,500 Vera CPUs, with an expected launch by the end of 2027 and plans to expand to 2.3GW by 2029. The company says that starting in 2027, new sites will use the NVIDIA DSX AI Factory platform and Vera Rubin reference design, which can increase GPU capacity by up to 40% within the same power budget.
SWI Compute emerged from stealth on October 26, announcing plans to build and operate NVIDIA AI factories in Europe, backed by 3.6GW of power capacity and roughly $1 billion in NVIDIA system orders. The first facility, in Cambridge, UK, will start at 30MW, deploying nearly 7,000 Rubin GPUs and 3,500 Vera CPUs, with an expected launch by the end of 2027 and plans to expand to 2.3GW by 2029. The company says that starting in 2027, new sites will use the NVIDIA DSX AI Factory platform and Vera Rubi
Factory introduces its Deployment team, which is responsible for implementing autonomous software engineering agents within the on-premises infrastructure of customers such as Blackstone, Nvidia, T-Mobile, and RBC, tackling large monorepos, legacy code, and strict compliance boundaries. The team has two types of roles: Applied AI and Forward Deployed Engineer; the former handles AI strategy and autonomy measurement, while the latter handles SDK deployment, large-scale refactoring and migration, and localized deployment. Code review, security review, internal knowledge agents, and self-hosted cloud agents based on the Droid SDK all originate from this kind of frontline practice.
introduces its Deployment team, which is responsible for implementing autonomous software engineering agents within the on-premises infrastructure of customers such as Blackstone, Nvidia, T-Mobile, and RBC, tackling large monorepos, legacy code, and strict compliance boundaries. The team has two types of roles: Applied AI and Forward Deployed Engineer; the former handles AI strategy and autonomy measurement, while the latter handles SDK deployment, large-scale refactoring and migration, and loca
The Linux kernel module gpu-unlock 1.0.0 can double the FP/BF16 FMA instruction issue rate of GA102, GA103, GA104, and GA106 graphics cards, bringing them up to professional card levels. On the 3090 Ti, BF16 rises from 87.50 TFLOPS to 157.41 TFLOPS, FP16 from 87.46 to 118.39 TFLOPS, and TF32 from 42.58 to 82.61 TFLOPS. The module completes the unlock before the NVIDIA driver binds the graphics card, so there is no need to manually patch after each driver update.
AI video startup Higgsfield announced that NVIDIA and TCV have joined its Series B extension financing, with Jensen Huang calling its founder one of the most talented people in the world. Since its Series B in August, the company's annualized revenue has topped $1 billion, enterprise contracts have grown 71% with month-over-month growth exceeding 100%, and global users have risen from 30 million to more than 40 million. NVIDIA has provided computing power for it all along, from L40 and A40 GPUs to Hopper and Blackwell, and it will subsequently adopt Vera Rubin.
AI video startup Higgsfield announced that NVIDIA and TCV have joined its Series B extension financing, with Jensen Huang calling its founder one of the most talented people in the world. Since its Series B in August, the company's annualized revenue has topped $1 billion, enterprise contracts have grown 71% with month-over-month growth exceeding 100%, and global users have risen from 30 million to more than 40 million. NVIDIA has provided computing power for it all along, from L40 and A40 GPUs
The MSI XpertStation WS300 is the second desktop workstation based on the NVIDIA DGX Station GB300, equipped with a Blackwell Ultra GPU with 252GB of HBM3E (7.1TB/s), a 1600W power supply, and dual 400Gbps ConnectX-8 networking. Weighing nearly 30kg, it uses a tower chassis with closed-loop liquid cooling, costs over $100,000, and is positioned as server-grade hardware that can sit beside a desk to run local AI.
NVIDIA releases Nemotron-3.5-Bolt-E4B, which can run locally on devices with 6GB of memory, targeting on-device devices such as phones. The model is trained based on Gemma 4, supports vision, and Unsloth also provides GGUF files and a guide link. NVIDIA says it targets scenarios such as local assistants, interactive characters, and robots that can converse and call tools.
NVIDIA demonstrated a workflow for training the Microduck robot to complete an obstacle course in simulation: Hermes and Nemotron 3.5 Bolt turn prompts into project plans on RTX Spark, Astra generates 3D assets, and the scene is built in Isaac Sim. Isaac Lab uses 4096 parallel environments to train perception and locomotion policies on an RTX PRO 6000 Blackwell Workstation Edition GPU, then returns to RTX Spark for local validation and preparation for sim-to-real transfer.
Kazakhstan is moving from AI infrastructure planning to deployment. Firebird has obtained a US export license and will deploy 45,000 NVIDIA Grace Blackwell GPUs in Kazakhstan, with the first phase to be built with Kazakhtelecom at Data Center Valley, targeting commercial service in Q3 2027. Kazakhtelecom has already deployed 400 NVIDIA H200 and 480 NVIDIA B300 GPUs in Astana and Almaty, and next year plans to deploy more than 1,000 additional GPUs at Data Center Valley, as well as more than 1,000 NVIDIA Vera Rubin GPUs in Ekibastuz. NVIDIA CEO Jensen Huang visited Astana and announced an investment in Kazakhstan-founded Higgsfield AI.
Kazakhstan is moving from AI infrastructure planning to deployment. Firebird has obtained a US export license and will deploy 45,000 NVIDIA Grace Blackwell GPUs in Kazakhstan, with the first phase to be built with Kazakhtelecom at Data Center Valley, targeting commercial service in Q3 2027. Kazakhtelecom has already deployed 400 NVIDIA H200 and 480 NVIDIA B300 GPUs in Astana and Almaty, and next year plans to deploy more than 1,000 additional GPUs at Data Center Valley, as well as more than 1,00
MiniMax officially thanked the NVIDIA NeMo team for providing day-0 fine-tuning support for MiniMax-M3.1-Flash. The cited post by Huiying Li states that before its public release, the model had processed 200T+ tokens through Space Bunny and has now opened its weights; NeMo-AutoModel's day-0 fine-tuning support includes FSDP2, expert parallelism, pipeline parallelism, and context parallelism, can scale up to 128 GPUs, and can directly load NVFP4 checkpoints.
At GTC Berlin, NVIDIA announced that DGX Spark officially supports eight-node clusters, with unified memory expanding to 1TB, enabling local execution of frontier models such as Z.ai's full GLM 5.3 (753B). Official benchmarks show that Qwen3.8-27B (NVFP4) decoding throughput rises from about 12 tokens/s on a single node to 52 tokens/s on eight nodes, and with the Spark-optimized RoCEnante collective communication backend, achieves a 4.43x decoding speedup on eight nodes. From-scratch pretraining of the nanochat model on eight nodes achieved a 7.79x speedup and 97.4% scaling efficiency. NVIDIA Sync's eight-node cluster support will launch before the end of the year.
At GTC Berlin, NVIDIA announced that DGX Spark officially supports eight-node clusters, with unified memory expanding to 1TB, enabling local execution of frontier models such as Z.ai's full GLM 5.3 (753B). Official benchmarks show that Qwen3.8-27B (NVFP4) decoding throughput rises from about 12 tokens/s on a single node to 52 tokens/s on eight nodes, and with the Spark-optimized RoCEnante collective communication backend, achieves a 4.43x decoding speedup on eight nodes. From-scratch pretraining
NVIDIA has launched Minerva, an AIOps platform for AI factories that collects telemetry from infrastructure and AI workloads, then uses purpose-built AI models to turn that data into actionable insights. The platform builds a dynamic knowledge graph that maps GPUs, SuperNICs, switches, cables, and the logic of the jobs running on them, analyzing billions of data points per hour to learn normal behavior, detect unseen anomalies, and predict failures. Minerva includes a built-in AI assistant and can connect to external agentic tools, supporting natural-language troubleshooting of cluster health with remediation recommendations. IREN, IBM, Jio, Lambda, Tesla, and others plan to deploy it, while Dell, Lenovo, and Supermicro will incorporate it into their AI factory operations portfolios.
NVIDIA has launched Minerva, an AIOps platform for AI factories that collects telemetry from infrastructure and AI workloads, then uses purpose-built AI models to turn that data into actionable insights. The platform builds a dynamic knowledge graph that maps GPUs, SuperNICs, switches, cables, and the logic of the jobs running on them, analyzing billions of data points per hour to learn normal behavior, detect unseen anomalies, and predict failures. Minerva includes a built-in AI assistant and c
Schneider Electric, Nvidia and HPE have formed a strategic partnership to launch the first batch of Industrial AI Agents at the Edge, focusing on operational technology (OT) monitoring, cybersecurity and energy optimization. These agents run locally on HPE Private Cloud AI, eliminating the need to continuously transmit sensitive industrial data to the public cloud. Customers can manage the agents through Schneider Electric's EcoStruxure Industrial Insights application, and the related OT monitoring technology has been in use for three years at Chilean pulp company CMPC.
Schneider Electric, Nvidia and HPE have formed a strategic partnership to launch the first batch of Industrial AI Agents at the Edge, focusing on operational technology (OT) monitoring, cybersecurity and energy optimization. These agents run locally on HPE Private Cloud AI, eliminating the need to continuously transmit sensitive industrial data to the public cloud. Customers can manage the agents through Schneider Electric's EcoStruxure Industrial Insights application, and the related OT monitor
AI infrastructure companies including Nvidia, Microsoft and Cisco have submitted recommendations to the UK government, saying the UK has about 12 months to establish a "compact" that benefits communities, or it may face protests similar to those in the US that threaten data center construction. The SAIL working group recommends letting councils that approve data centers retain more tax revenue and establishing a local benefit framework. Organizations such as PauseAI UK and Foxglove criticized this approach as buying off communities with benefits, and noted that 15 community groups in Scotland are already opposing related projects.
AI infrastructure companies including Nvidia, Microsoft and Cisco have submitted recommendations to the UK government, saying the UK has about 12 months to establish a "compact" that benefits communities, or it may face protests similar to those in the US that threaten data center construction. The SAIL working group recommends letting councils that approve data centers retain more tax revenue and establishing a local benefit framework. Organizations such as PauseAI UK and Foxglove criticized th
NVIDIA has released the OpenShell reference architecture, arguing that Agents cannot govern themselves and that security and governance should be placed at the infrastructure layer, which Agents cannot reach. The approach has three layers: the open-source runtime OpenShell defines permission boundaries through Gateway, Supervisor, Sandbox, and a formally verified Policy Prover; Vera CPU provides 88 Olympus cores and 1.2 TB/s memory bandwidth, with CoreWeave measuring sandbox startup more than 3x faster and Agent tasks on Terminal Bench 1.8x faster; BlueField-4 DPU plus Sentry provides optional hardware-level monitoring that can isolate violating Agents within a few milliseconds.
NVIDIA has released the OpenShell reference architecture, arguing that Agents cannot govern themselves and that security and governance should be placed at the infrastructure layer, which Agents cannot reach. The approach has three layers: the open-source runtime OpenShell defines permission boundaries through Gateway, Supervisor, Sandbox, and a formally verified Policy Prover; Vera CPU provides 88 Olympus cores and 1.2 TB/s memory bandwidth, with CoreWeave measuring sandbox startup more than 3x
Episode 14 of OpenClaw's The ClawCast features NVIDIA's Apoorv Chaudhary, who joins hrudolph and Pat_Erichsen to discuss local AI, privacy, hardware limitations, and scenarios where cloud models still apply.
Episode 14 of OpenClaw's The ClawCast features NVIDIA's Apoorv Chaudhary, who joins hrudolph and Pat Erichsen to discuss local AI, privacy, hardware limitations, and scenarios where cloud models still apply.
Perplexity and NVIDIA collaboratively propose a post-training method, JOLT: it lets the same model serve as both teacher and student, and trains the teacher to learn from the rewards of its own attempts while penalizing drift away from the student's behavior. On the MATH benchmark, JOLT achieves accuracy comparable to GRPO with 6.5 times fewer training tokens; JOLT+ additionally provides the student model with outcome-based rewards, clearly surpassing GRPO on math, coding, terminal tasks, and tool-use benchmarks.
Perplexity and NVIDIA collaboratively propose a post-training method, JOLT: it lets the same model serve as both teacher and student, and trains the teacher to learn from the rewards of its own attempts while penalizing drift away from the student's behavior. On the MATH benchmark, JOLT achieves accuracy comparable to GRPO with 6.5 times fewer training tokens; JOLT+ additionally provides the student model with outcome-based rewards, clearly surpassing GRPO on math, coding, terminal tasks, and to
Nvidia has unveiled the DSX Pod AI Factory, which packs 7 Vera Rubin AI racks into a container roughly the size of a standard shipping container and weighing about 28,000 kilograms. Cabling and liquid cooling are assembled at the factory, and the unit can be transported by truck over ordinary roads. Nvidia says the solution can cut the time for a new AI data center to start outputting tokens from 6 months to 14 days. The product is a reference design, shipped by manufacturers including Foxconn, Gigabyte, Lenovo, HPE, Quanta, and Pegatron, with deliveries expected to begin in early 2027; no price has been announced.
Nvidia has unveiled the DSX Pod AI Factory, which packs 7 Vera Rubin AI racks into a container roughly the size of a standard shipping container and weighing about 28,000 kilograms. Cabling and liquid cooling are assembled at the factory, and the unit can be transported by truck over ordinary roads. Nvidia says the solution can cut the time for a new AI data center to start outputting tokens from 6 months to 14 days. The product is a reference design, shipped by manufacturers including Foxconn,
