1728 summarised stories about AI Infrastructure, each linking back to the original source. Browse all topics →
BBC News 1 month ago 42
Battery suppliers in Europe are trying to regain momentum after failures like Northvolt and Morrow by betting on nanometre-scale battery components made with semiconductor-style techniques.
MarkTechPost 1 month ago 39
Redis launched LangCache, a managed semantic caching service that matches prompts by meaning and returns stored LLM responses without making a new model call on a cache hit. LangCache reports up to 90% lower LLM API costs and cache-hit responses up to 15x faster, with a demo showing 0.37 seconds vs 2.232 seconds for a paraphrased query. Applications can replace per-request LLM calls with a REST two-step loop (search before calling, store after misses), changing latency and spending by shifting cost mainly to avoided output tokens while requiring tuned thresholds and TTL/monitoring to prevent incorrect matches.
MarkTechPost 1 month ago 15
NVIDIA released BioNeMo Inference Runtime (BioIR), a Python library that speeds up supported protein-structure prediction inference on NVIDIA GPUs while keeping the standard PyTorch workflow. In a matched benchmark on 8xH100 for 1,000 human dimers, BioIR delivered 58.5K successfully folded residues per GPU-hour versus 20.2K for an open-source torch-compiled Boltz-2 implementation. The throughput improves by 2.90x on this dataset and hardware, and NVIDIA estimates energy for 1 million comparable targets drops from 35 MWh to 11 MWh (8-GPU TDP equivalent).
TechCrunch 1 month ago 21
Nvidia CEO Jensen Huang said Nvidia expects its AI-related revenue growth to continue through next year despite rising GPU competition. He reiterated a forecast of 70% year-over-year revenue growth for next year. Nvidia’s guidance implies the company is positioning for sustained demand across AI labs and systems, including GPUs and data-center infrastructure, rather than expecting a slowdown.
Amazon Web Services 1 month ago 13
Amazon Bedrock Knowledge Bases added TwelveLabs Marengo Embed 3.0 as an embedding model for video and image semantic search. It encodes content into a 512-dimensional vector space, and the walkthrough uses a 10-minute clip of the 2022 FIFA World Cup final. Teams can now create and sync managed multimodal knowledge bases that ingest MP4/MOV and JPEG/PNG and return ranked natural-language search results with segment timestamps instead of managing a multi-step pipeline themselves.
TechCrunch 1 month ago 49 ● 3 sources
OpenAI temporarily disabled new sign-ups for its $200-per-month Pro subscriptions because demand for its new model Astra is straining its infrastructure. The pause starts while Astra, launched on September 3, rolls out across Pro, Plus, Enterprise, and Business. OpenAI says API access and lower-cost Go and Plus plans remain available, with priority given to existing users.
Sakana AI 20
Sakana AI, SC SK, and Sumitomo Corporation agreed to a comprehensive business partnership to support Japanese industrial transformation and solve social issues via AI use. The partnership will start with real enterprise cases that require strict reliability, quality, and information security, covering AI application PoCs and production-ready design, implementation, and operations. The three companies will jointly push customers from problem definition through technical evaluation, real-world deployment, impact verification, and continuous improvement, and will also explore an AI-orchestration-model-based service for vulnerability diagnosis to fixes in cybersecurity.
The New Stack 1 month ago 20 ● 10 sources
Mistral announced it raised a €3 billion Series D to expand open-weight frontier AI research, training compute, and infrastructure. The funding round adds $3.5 billion (US dollars) and values the company at over €21 billion post-money. As a result, Mistral says it will keep building the full stack—models plus compute and production tools—to reduce customer dependence on a single vendor.
Amazon Web Services 1 month ago 49 ● 3 sources
Amazon Quick desktop application is now generally available on macOS and Windows for enterprise use. It launched generally available on desktop “today.” The update adds a consolidated mobile activity feed on iOS and Android that merges email, calendar, CRM, and messaging so agents handle routine items in the background.
The New Stack 1 month ago 49
Red Hat released Red Hat AI 3.5, expanding its platform for multi-tenant AI workloads with tenant isolation and priority-aware scheduling. The release adds a priority decision for every GPU request, plus new fairness scheduling and admission control for shared GPU inference. As a result, teams can move AI pilots into a governed enterprise architecture with pre-deployment safety benchmarking, real-time observability, and per-user token showback, reducing stalls from the GPU queue.
YouTube 1 month ago 16 ● 19 sources
Corey and Grant discuss what changes when the AI model is no longer the clearest bottleneck, covering OpenAI Astra and related techniques and systems. They spend 90+ minutes on the topic. The focus shifts to factors like reasoning depth, agent behavior, cyber capabilities, and the supporting hardware and tools rather than just model quality.
SiliconANGLE 1 month ago 20 ● 3 sources
Arlequin AI SAS announced it raised €28 million to develop a new AI model architecture built on topological neural networks rather than the graph-based networks used in most large language models. The Series A round totaled €28 million (about $32 million) and was exclusively backed by European investors, co-led by Redalpine and OTB Ventures. The funding will support scaling its platform and proprietary model, expanding its team, and accelerating commercial deployment across Europe and worldwide.
NVIDIA Blog 1 month ago 45
Skild AI launched its S1 robot foundation model that uses a single video demonstration to learn and perform new long-horizon tasks without updating model weights. It reports up to 10-minute unfamiliar task execution and an about 66% step success rate versus 9% for a similar system. As a result, robots can be adapted to changing factory work with in-context learning rather than retraining and post-training for each new task.
Trending Topics 1 month ago 7 ● 2 sources
French investors via a pooled SPV bought into Moonshot AI, the China-based company behind the Kimi model family, ahead of its planned Hong Kong listing. The SPV put about €10 million into the last financing round, valuing Moonshot AI at a $30 billion pre-money level. This shifts capital toward open-weight model hosting in Europe and supports efforts to self-deploy Moonshot’s Kimi models with privacy-focused technologies.
NVIDIA Blog 1 month ago 43
NVIDIA says robotaxi leaders are building and scaling commercial driverless fleets using its end-to-end platform for AI training, simulation/validation, and in-vehicle computing. Uber plans to reach 28 cities by 2028 while using NVIDIA DRIVE Hyperion. As more programs adopt NVIDIA’s three-computer architecture, robotaxi deployment shifts toward standardized compute, simulation, and safety validation workflows across fleets at scale.
Amazon Web Services 1 month ago 42
AvioBook used Amazon Bedrock AgentCore to prototype “Connected Analytics,” turning turnaround “flightroom” operational records into plain-language, evidence-backed answers for airline managers and OCC dispatchers. The article cites that reducing average turnaround by 2 minutes can be worth about $240,000 a month for a mid-size carrier flying 200 flights a day. The system changes operations from scrolling and manual cross-referencing toward role-based multi-agent querying plus delay code validation that flags inconsistent codes with evidence for human review.
Startups Magazine 14
Sage reported that Midlands SMEs are growing faster than the rest of the UK on profitability based on anonymised SME accounting data. East Midlands businesses saw profit growth of 18.8% in the year to Q2 2026, versus a 5.3% national average. The focus shifts to which regions and firms are sustaining stronger performance, alongside continued uptake of digital tools including AI.
NVIDIA Blog 1 month ago 49
d-Matrix announced it will connect its next-generation Raptor XPUs to NVIDIA’s AI infrastructure using NVIDIA NVLink Fusion within the MGX rack architecture. NVLink Fusion is claimed to deliver 3x lower XPU-to-XPU latency than off-the-shelf Ethernet. As a result, d-Matrix can deploy its custom silicon via NVIDIA’s standardized rack-scale platform, rather than building rack-scale infrastructure itself.
SiliconANGLE 1 month ago 12
CoreWeave launched a new Physical AI Field Engineering service that sends specialized engineers to work with enterprise engineering teams on AI projects. The service starts with a workshop and CoreWeave says it can cut testing times by between 17% and 35%. This shifts AI implementation toward using customer workflows and data end to end, from model training to compute setup and integration into operational tools.
IBM Research 1 month ago 15
IBM and NASA released the NASA-IBM Lunar Foundation Model, an open-source AI model that integrates decades of lunar mapping data across different sensors, angles, and spatial scales. The model’s ice-prospecting task cut error by 22% versus a SwinV2 transformer. It changes lunar research by enabling faster, reusable modeling and improving crater, ice, and volcanic feature detection for Artemis planning and follow-on simulations.
The Verge 1 month ago 12
Texas begins test flights under a new federal program for electric, hybrid-electric, and autonomous aircraft led by Joby, Beta, and Wisk. The first project starts today and runs for the next week. These flights create early public evidence of future routes before the governing rules are finalized.
Tech.eu 1 month ago 38
Spain’s top-funded tech companies raised about €1.7 billion in H1 2026, with fundraising concentrated in a small set of leading firms. The ten biggest rounds together made up about 68% of the total funding. The mix of industries receiving the most capital included space (~€354.3M), travel (~€266.1M), medical/healthcare (~€195.1M), and artificial intelligence (~€150.9M), alongside funding across early and later stages and debt financing (~19%).
MIT Technology Review 1 month ago 4
Transmission-line faults and surge arrester failures in Ashburn, Virginia caused more than 3 gigawatts and about 1,500 megawatts of AI data-center load to drop off the grid within seconds, showing the issue was grid architecture rather than power supply. The article cites an early-2026 full-scale test at the National Laboratory of the Rockies, where the system cleared ERCOT large-load voltage ride-through requirements with room to spare. By moving AI UPS and power conditioning from low-voltage, battery-based, bypass-heavy setups to medium-voltage, inline systems near substations, load swings become harder to notice and backup power can also support grid programs.
Tech Funding News 1 month ago 6
IVEX raised a €5M Series A to bring its car safety-testing AI platform to the US and Asia. The platform cuts a single batch footage review from 400 hours to eight hours, with engineers supervising each result. As a result, IVEX plans to expand coverage of NCAP protocols and build regulatory and commercial presence in North America and Asia.
posthog.com 1 month ago 11
Replay Vision built a rasterizer to convert rrweb session replays into MP4 video so multimodal models could correctly “watch” them. It since March 2026 has rasterized more than 370 years of recordings into roughly 3.5 million videos. By gating Chrome’s frame rendering with HeadlessExperimental.beginFrame and freezing the rrweb player’s virtual time, the service eliminates skipped or frozen outputs so CPU contention only changes job duration, not the resulting video.
Mistral AI 1 month ago 32 ● 10 sources
Cloudera and Mistral announced a partnership to let enterprises run Mistral AI models on Cloudera’s hybrid data platform while keeping data and model control inside their own environments. The deal targets Cloudera’s 30 exabytes of customer-managed data for sovereign AI deployment. This expands on-prem, private/public cloud, and fully air-gapped inference options and enables enterprises to train and own custom models on proprietary data.
Startups Magazine 37
KVector, a University of Birmingham spinout, raised funding to commercialise super-efficient antenna technology aimed at steering signals without thousands of individually controlled components. The company secured £3.8m, alongside an Innovate UK grant of £950,000, to support recruitment and development of radar and communications products with defence-sector partners. The raise speeds up product development and expands KVector’s team while it continues operating in stealth around specific partners and applications.
The New Stack 1 month ago 28
Nvidia and Palantir announced they are applying their “sovereign AI” partnership inside Nvidia by fine-tuning a supply-chain AI model for Nvidia’s own operations. The fine-tuned Nvidia Nemotron 3.5 Lightning uses 30B parameters and it achieved 86.7% accuracy versus 55.5% for a 550B Nemotron model (about 18 times larger). Nvidia says this demonstrates specialization on a focused task and plans to extend the approach to other industries while letting customers train and run tailored versions with data and weights kept under their control.
MarkTechPost 1 month ago 19 ● 5 sources
DeepSeek AI released DeepSeek-V4.1-Flash, a multimodal Mixture-of-Experts model designed to reduce long-context KV-cache strain in LLM serving. The global KV cache footprint is 890 bytes per token with a 1M-token context window, and the model ships as open weights under an MIT license. Persistent KV caching is reduced (including FP4 quantization and bounded replay), enabling longer contexts to be more deployable with lower storage and bandwidth demands.
IBM Research 1 month ago 30
IBM and Lockheed Martin are launching a Swiss quantum innovation hub at ETH Zurich, anchored by Switzerland’s first IBM Quantum System Two to be installed at CSCS in Lugano.
Fortune 19 ● 4 sources
AI token prices fell as corporate spending data showed no sustained surge after new frontier model releases.
Hugging Face 1 month ago 16
AsyncGRPOTrainer in TRL v1.14 was updated to train a LoRA adapter and sync only the adapter to vLLM replicas running in separate Hugging Face Jobs, using a Storage Bucket mount plus a proxy rather than NCCL. Five runs using the same recipe for 500 steps fell from 3 h 27 min to 53 min. The setup changes training-inference coordination by persisting versioned adapters to shared storage, having the proxy route rollouts to replicas with matching KV prefixes, and requiring vLLM to load/unload adapters at runtime while checkpoints can resume after preemption.
Together AI 1 month ago 32
Together’s kernels team gained access to the NVIDIA Vera Rubin NVL72 platform and updated ThunderKittens to run NVFP4 and FP8 GEMMs on it by adding Rubin-specific ISA and memory/pipeline features. The NVFP4 GEMM kernels improve from about 42.1% of the roofline to over 22 PFLOPS. These changes increase attainable performance by doubling the K step, expanding tensor memory and shared memory use, and adjusting tiling and commit/collector behaviors so tensor cores stay fed.
Together AI 1 month ago 47
Together announced public preview of preemptible GPU compute for Together GPU Clusters on Kubernetes, where interruptible nodes can be reclaimed from unused capacity.
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16 October 2026
AI’s center of gravity this week moved toward something less glamorous than headlines about “smarter” models: scaling the stuff models actually learn from. AI4Bharat and NVIDIA released Nemotron-pretraining-Indic-v1, backed by an open, GPU-accelerated synthetic data generation pipeline for 22 Indian languages. The corpus is massive—about 2.8 trillion tokens—split across 2,601.0 billion native-script tokens and 224.6 billion romanized tokens. The practical pitch is even sharper: builders can reuse not just the data, but the full prompt/quality/repair recipe, then continue-pretraining to push results on Nemotron 3.5 Super VL, with the promise that an Indic continued-pretraining stage helps benchmarks.
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