65 results for “HP”
Z.ai launched GLM-5.3 on 14 August 2026 on the same base as GLM-5.2, claiming large coding and cyber gains from post-training alone. Open weights are due in about two weeks; Coding Plan users already get the new model.
OpenAI opened a preview of Ultrafast, an API tier that runs GPT-5.6 Sol up to 14 times faster on Cerebras wafer-scale chips. The mode targets enterprise workloads like incident response and financial analysis with up to 750 output tokens per second.
NVIDIA validated Alibaba's Qwen3.8-Flash-Next 176B MoE model on its GB300 NVL72 rack, achieving over 16K tokens per second per GPU. The hybrid GDN/QSA architecture keeps memory and compute bounded for million-token agentic coding workloads.
NVIDIA unveiled NVLink Fusion, letting hyperscalers plug custom XPUs into its 72‑XPU NVLink domain and MGX rack architecture. The program cuts non‑differentiated engineering so silicon teams can ship custom accelerators faster while reusing proven power, cooling, and cluster software.
NVIDIA declared Scale-In the fifth pillar of AI networking infrastructure, powered by BlueField-4 DPUs, DOCA software, and Spectrum-X Ethernet. The architecture offloads security, storage, and telemetry from host CPUs at up to 800 Gb/s to keep pace with agentic AI factories.
NVIDIA detailed how Spectrum-X Ethernet uses hardware-accelerated adaptive routing, congestion control, and plane load balancing to solve traditional Ethernet's failures at giga-scale AI training. The platform delivers 1.6x performance over off-the-shelf Ethernet, near-perfect multi-tenant isolation, and 2.68 ms failover versus 1.08 seconds for standard Ethernet.
NVIDIA published a practical observability framework mapping telemetry tools to every layer of DGX and HGX AI factory infrastructure. The guide helps teams catch gray failures like InfiniBand bit-error drift before they waste multi-hour training runs.
Nvidia has formally opened the cuFile APIs and the vertical storage stack beneath them, moving the interface that lets GPUs read and write storage. Opening cuFile is a strategic departure; this layer has historically lived inside CUDA.
Nvidia has agreed to invest up to $3 billion in Lancium, the Texas-based power infrastructure developer behind the first operational site of the Stargate. Power has replaced silicon as the scarcest resource in frontier AI development.
NVIDIA has released NemotronLabs VoiceChat 11B, an 11-billion-parameter end-to-end speech-to-speech model that performs streaming speech understanding. VoiceChat 11B gives researchers and infrastructure teams a reference implementation.
AT&T has deployed D-Wave's quantum annealing technology to accelerate a core network optimization workload from roughly one hour of classical processing. Telecommunications networks present optimization problems of extraordinary scale.
Red Hat has launched Asago, an open-source community project designed to translate AI governance policies directly into production-ready deployment code. The EU AI Act's entry into force creates a concrete deadline for enterprises.