Archive: October 29, 2025

Vultr Launches High-Performance Cloud Compute for Public Sector

India,  29th October, 2025 : Vultr, the world’s largest privately-held cloud infrastructure company, today announced the launch of its high-performance cloud compute, cloud GPU, and bare metal infrastructure for the public sector. This launch empowers public institutions to modernize critical systems, apply AI responsibly, and deliver secure citizen services at scale.

As federal, regional, and academic institutions transform digital services, they face mounting pressure to meet rising citizen expectations and close the gap with private sector experiences. This urgency is reflected in EY’s research, which shows that 58% of respondents believe governments and the public sector need to accelerate AI adoption. Supporting this trend, industry data from Vultr’s annual AI maturity report finds 74% of organizations classify themselves as “Accelerated” or “Transformational.” Yet, despite this progress, the sector continues to grapple with mission fragmentation, compliance requirements, and the challenge of turning AI strategies into measurable citizen impact.

Available across six continents and 32 cloud data center regions, Vultr’s cost-predictable public sector cloud combines AI readiness, sovereign options, and full compliance coverage with global access to AMD and NVIDIA GPUs for AI training, inference, and agentic AI. Additional tools, such as Serverless Inference, Kubernetes Engine, and integrated storage solutions, make it a reliable choice for public sector organizations building and scaling AI-driven content, personalization, and real-time applications.

To further accelerate adoption, Vultr is working with partners such as Rancher Government Solutions (RGS), the leader in secure, enterprise-grade Kubernetes and container management for the U.S. Government. 

Through the Vultr Cloud Alliance, a network of technology and service partners, Vultr empowers public sector agencies to seamlessly integrate AI, data, and cloud-native solutions across any environment. With partners like Clarifai, agencies can build and deploy powerful AI models on Vultr’s high-performance infrastructure.

“The public sector is undergoing rapid digital transformation to improve transparency, operational efficiency, and citizen-centric outcomes,” said Kevin Cochrane, CMO of Vultr. “From national defense to digital identity systems, public institutions need scalable, secure, and compliant infrastructure to meet growing demands. Vultr equips agencies, universities, and justice systems to innovate at speed while keeping control of their data and digital strategies.”

With this rollout, public sector institutions can now take advantage of key capabilities designed to accelerate modernization and ensure compliance, including:

• Sovereign cloud regions: Regional deployment options with strict data residency controls to safeguard sensitive citizen and government information.
• Compliance-first infrastructure: Coverage across GDPR, DORA, HIPAA, SOC 2, and more, with a defined FedRAMP and GovRAMP roadmap toward Moderate authorization, ensuring public sector and national security workloads meet strict regulatory requirements.
• Composable, multicloud, and hybrid infrastructure: API-first environments that integrate with existing IT systems and third-party edge, enabling modernization, resilience, and reduced procurement risk.
• Predictable pricing: Transparent usage-based pricing with Total Cost of Ownership (TCO) analysis aligned to public sector oversight, fiscal cycles, and budget discipline.

“Government agencies need secure, sovereign-ready infrastructure to power AI and modernize critical services,” said Ben Zifony, VP of Ecosystem and Partnerships at Rancher Government Solutions. “Together with Vultr, we are enabling flexible, GPU-powered edge environments that help agencies innovate confidently and respond to mission needs in real-time.”

“Driving digital transformation in the public sector requires infrastructure that balances global reach with local control,” said Craig Matsumoto, Contributing Analyst at Futuriom. “Vultr gives governments the ability to deploy AI for citizen services with the performance, compliance, and cost transparency needed to achieve tangible outcomes at both national and local levels.”

Akamai Inference Cloud Transforms AI from Core to Edge with NVIDIA

Bengaluru, 29th October, 2025: Akamai Technologies, Inc. (NASDAQ:AKAM) today launched Akamai Inference Cloud, a platform that redefines where and how AI is used by expanding inference from core data centers to the edge of the internet.

Akamai Inference Cloud enables intelligent, agentic AI inference at the edge, close to users and devices. Unlike traditional systems this platform is purpose-built to provide low-latency, real-time edge AI processing on a global scale. This launch of Akamai Inference Cloud leverages Akamai’s expertise in globally distributed architectures and NVIDIA Blackwell AI infrastructure to radically rethink and extend the accelerated computing needed to unlock AI’s true potential.

The next generation of AI applications, from personalized digital experiences and smart agents to real-time decision systems demand that AI inference be pushed closer to the user, providing instant engagement where they interact, and making smart decisions about where to route requests. Agentic workloads increasingly require low-latency inference, local context, and the ability to scale globally in an instant. Built to power this transformation, Akamai Inference Cloud is a distributed, generative edge platform that places the NVIDIA AI stack closer to where data is created and decisions need to be made.

“The next wave of AI requires the same proximity to users that allowed the internet to scale to become the pervasive global platform that it is today,” said Dr. Tom Leighton, Akamai CEO and co-founder. “Akamai solved this challenge before – and we’re doing it again. Powered by NVIDIA AI infrastructure, Akamai Inference Cloud will meet the intensifying demand to scale AI inference capacity and performance by putting AI’s decision-making in thousands of locations around the world, enabling faster, smarter, and more secure responses.”

“Inference has become the most compute-intensive phase of AI  demanding real-time reasoning at planetary scale,” said Jensen Huang, founder and CEO, NVIDIA. “Together, NVIDIA and Akamai are moving inference closer to users everywhere, delivering faster, more scalable generative AI and unlocking the next generation of intelligent applications.”

Akamai Inference Cloud redefines where and how AI is used by bringing intelligent, agentic AI inference close to users and devices. The platform combines NVIDIA RTX PRO Servers, featuring NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, NVIDIA BlueField-3 DPUs, and NVIDIA AI Enterprise software with Akamai’s distributed cloud computing infrastructure and global edge network, which has over 4,200 locations worldwide. Akamai Inference Cloud will drive Akamai’s vision for highly scalable, distributed AI performance worldwide by leveraging NVIDIA’s latest technologies  including the recently announced NVIDIA BlueField-4 DPU  to further accelerate and secure data access and AI inference workloads from core to edge.

Akamai has teamed up with NVIDIA to boldly bring inference where inference has never gone before, charting new AI frontiers with Akamai Inference Cloud:

• Extending enterprise AI Factories to the edge to enable smart commerce agents and personalized digital experiences – AI Factories are powerhouses that orchestrate the AI lifecycle from data ingestion to creating intelligence at scale. Akamai Inference Cloud extends AI Factories to the edge, decentralizing data and processing and routing requests to the best model using Akamai’s massively distributed edge locations. This will enable smart agents to adapt instantly to user location, behavior and intent, and act autonomously to negotiate, purchase, and optimize transactions in real time.
• Enabling Streaming Inference and Agents to provide instant financial insights and perform real-time decisioning – AI agents require multiple sequential inferences to complete complex tasks, creating delays that erode user engagement. Agentic AI workflows require several inference calls, and if each call creates a network delay, it makes the experience feel sluggish or too slow to meet machine-to-machine latency requirements. Akamai Inference Cloud’s edge-native architecture delivers virtually instant responses, enabling AI agents to operate with human-like responsiveness across multi-step workflows. This can be useful in detecting fraud, accelerating secure payments, and enabling high-speed decisions for industrial edges.
• Enabling Real-Time Physical AI to operate beyond human-level responsiveness– Physical AI systems like autonomous vehicles, industrial robots, and smart city infrastructure require millisecond-precision decision-making to safely interact with the physical world. Akamai Inference Cloud is designed to enable physical AI to process sensor data, make safety decisions, and coordinate actions at the speed of the physical world—helping transform everything from factory floors and delivery drones to surgical robots and autonomous transportation networks into responsive, intelligent systems that can operate safely alongside humans.
• Accelerating Time to Value – Orchestrating complex, distributed AI workloads across multiple cloud regions requires specialized skills and teams. Akamai Inference Cloud’s intelligent orchestration layer automatically routes AI tasks to optimal locations—routine inference executes instantly at the edge through NVIDIA’s NIM microservices, while sophisticated reasoning leverages centralized AI factories, all managed through a unified platform that abstracts away infrastructure complexity.

Akamai Inference Cloud is available, targeting 20 initial locations around the globe with plans for an expanded rollout underway.

Cybersecurity Awareness Month 2025 Commentary by Rohan Vaidya, CyberArk

BY:  Rohan Vaidya, Area Vice President India & SAARC, CyberArk

“As India accelerates its digital transformation powered by AI, automation, and cloud-first strategies, a largely invisible yet critical threat is emerging  the rapid growth of machine identities. From application workloads and RPA bots to microservices, machine identities now vastly outnumber human ones, but remain severely under-protected.

Findings from the CyberArk 2025 Identity Security Landscape Report highlight this urgency. In India, 77% of organisations admit they prioritise speed and efficiency over cybersecurity, while 68% cite AI and cloud adoption as major sources of unmanaged access risk. Even more concerning, 85% report mounting pressure from insurers and regulators to secure privileged access  yet machine identities with sensitive or elevated access remain largely uncontrolled.

This Cybersecurity Awareness Month’s theme  “Secure Our World: Protecting Digital Identities Across All Fronts”  underscores the need for Indian enterprises to move beyond a human-centric approach to security. Nearly a third of machine identities today hold privileged or sensitive access, meaning that even small oversights such as an expired TLS certificate or orphaned credentials  can lead to significant outages or breaches.

To stay ahead of escalating identity-based threats, organisations must embed Privileged Access Management (PAM) within a holistic identity security strategy that delivers full visibility, proactive risk mitigation, and seamless operational continuity across hybrid and multi-cloud environments.

AI and automation are redefining our digital future  but without robust identity security at the core, we risk building that future on unstable ground.”