Supermicro stories
The tie-ups are aimed at making it easier for enterprises and cloud providers to run agentic AI in production across mixed infrastructure.
The blueprint could give hyperscalers and enterprises a cheaper way to run agentic AI, with flexible CPU and GPU racks and open software.
Many managed service providers are watching backup revenue slip as hidden cloud fees and vendor price changes squeeze storage margins.
Direct control of production in Malaysia is meant to help Micas cut delivery risk and bring its AI networking optics into volume faster.
It lets regulated firms run AI on sensitive data without exposing customer records or model weights to infrastructure operators.
Demand for denser AI data centres is driving a new Cisco-Nvidia partnership with Supermicro, aimed at easing cooling and deployment pressures.
Revised guidance and remotely exploitable flaws are heightening the risk of widespread compromise across firewalls, routers and switches.
Developers can now run more specialised AI agents on PCs and compact systems, as NVIDIA broadens support for open-weight local models.
Exposed BMCs can let attackers take persistent control of servers, with nearly 25,000 systems leaking password data before login.
Newsrooms, designers and robotics teams are set to gain new AI tools as NVIDIA expands detection, agent and edge software at SIGGRAPH.
The ranking could help EDB win larger enterprises seeking to run analytics and AI closer to core data without adding more specialist systems.
Enterprises can now run AI agents on live PostgreSQL data with governance controls, as EDB expands its Postgres AI platform.
AI operators face a standardised route to megascale sites as Supermicro bundles cooling, power and networking for deployments from 5MW to 1GW.
Windows users can now run trillion-parameter AI models locally as NVIDIA targets enterprise developers with a deskside workstation and new security controls.
New silicon-level controls aim to curb unauthorised agent access and data exposure in enterprise AI storage, while keeping traffic fast.
Enterprise buyers get a vendor-neutral option as the tie-up aims to ease AI data bottlenecks and speed deployments on open infrastructure.
Enterprises running AI across multiple sites may cut latency and costs as the partners link cloud, edge hardware and Kubernetes management.
Mid-size firms gain a simpler way to keep backups online during ransomware attacks, as Scality bundles Veeam with object storage.
Gamers should see faster response times as the hosting provider adds AMD chips, cuts power use and halves its server fleet to meet demand.
Businesses with remote sites can cut hardware, power and support needs by using a two-node setup instead of a traditional three-node design.
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