Gcore has expanded the regional coverage of its cloud services, including Infrastructure as a Service, AI IPU Infrastructure, Logging as a Service, and Managed Kubernetes. New points of presence are located in the US, Asia, and EMEA. Read on to learn more about the services and their locations.
IaaS: 23 Locations
As an IaaS (Infrastructure as a Service) provider, Gcore offers virtual machines, bare metal servers, S3 storage, load balancing, and other cloud services. With Gcore’s IaaS, you get all the necessary building blocks for your cloud infrastructure.
In May 2023, we added new points of presence in Dubai (UAE) and Newport (UK.) The total list of Gcore Cloud PoPs comprises 23 locations across the Americas, Asia, Africa, and EMEA.
AI IPU infrastructure: 3 Locations
Gcore also provides AI Infrastructure as a Service based on Graphcore IPUs. AI IPU infrastructure speeds up machine learning and produces outstanding results for language processing, visual computing, and graph neural networks.
AI IPU infrastructure is now available in Luxembourg, Amsterdam, and Newport.
LaaS: 2 Locations
LaaS (Logging as a Service) is a cloud log management platform designed to collect, store, process, and analyze logs from infrastructure and applications. LaaS makes it easier to analyze events and data from multiple services in a single dashboard. With Gcore’s LaaS, you can detect and resolve errors in your infrastructure, investigate security incidents, check server connectivity, and more.
LaaS is available in Luxembourg and Manassas.
FaaS: 9 Locations
FaaS (Function as a Service) is a cloud service that lets you run code without worrying about the underlying infrastructure. You simply write a discrete piece of code called “function” and deploy it in our cloud environment. A function runs on demand, and you are charged only for its execution. FaaS helps to save costs on deploying a simple application, expanding functionality, and reducing time-to-market.
FaaS is now available in core regions in addition to edge regions. Here is the complete list of locations:
- Luxembourg
- Luxembourg-2
- Manassas
- Singapore
- Tokyo
- Santa Clara
- Frankfurt
- Istanbul
- Chicago
Managed Kubernetes: 4 Locations
Managed Kubernetes is a platform service that allows you to quickly and easily deploy a prebuilt Kubernetes cluster based on Gcore Cloud resources. Gcore’s team is responsible for maintaining the infrastructure and cluster, so you can quickly launch and easily scale your containerized applications.
The list of the Managed Kubernetes locations includes:
- Luxembourg
- Manassas
- Singapore
- Frankfurt
Gcore Basic: 5 Locations
Gcore Basic is a low-cost virtual machine with partial CPU usage. It is suitable for simple tasks such as hosting a website or blog, running a pet project, and deploying a private VPN. Gcore Basic is a great solution for home users, developers, and small business owners. You can deploy a virtual machine in a couple of minutes and integrate it with any Gcore Cloud service. Benefits include the latest Intel® Xeon® 4314 CPU, free built-in DDoS protection, and free egress traffic.
The list of the Gcore Basic locations includes:
- Frankfurt
- Amsterdam
- Manassas
- Hong Kong
- Tokyo
Take Advantage of Gcore’s Cloud Services
By expanding our regional coverage, we aim to improve the cloud experience for our customers, provide advanced IaaS and PaaS services anywhere, and enable global companies to achieve scalability across their distributed services and teams. Gcore’s network consists of 140+ points of presence worldwide, including 23 unique cloud locations. We are constantly enhancing our services for the convenience and efficiency of our customers, regardless of their location.
Related articles

Protecting networks at scale with AI security strategies
Network cyberattacks are no longer isolated incidents. They are a constant, relentless assault on network infrastructure, probing for vulnerabilities in routing, session handling, and authentication flows. With AI at their disposal, threat actors can move faster than ever, shifting tactics mid-attack to bypass static defenses.Legacy systems, designed for simpler threats, cannot keep pace. Modern network security demands a new approach, combining real-time visibility, automated response, AI-driven adaptation, and decentralized protection to secure critical infrastructure without sacrificing speed or availability.At Gcore, we believe security must move as fast as your network does. So, in this article, we explore how L3/L4 network security is evolving to meet new network security challenges and how AI strengthens defenses against today’s most advanced threats.Smarter threat detection across complex network layersModern threats blend into legitimate traffic, using encrypted command-and-control, slow drip API abuse, and DNS tunneling to evade detection. Attackers increasingly embed credential stuffing into regular login activity. Without deep flow analysis, these attempts bypass simple rate limits and avoid triggering alerts until major breaches occur.Effective network defense today means inspection at Layer 3 and Layer 4, looking at:Traffic flow metadata (NetFlow, sFlow)SSL/TLS handshake anomaliesDNS request irregularitiesUnexpected session persistence behaviorsGcore Edge Security applies real-time traffic inspection across multiple layers, correlating flows and behaviors across routers, load balancers, proxies, and cloud edges. Even slight anomalies in NetFlow exports or unexpected east-west traffic inside a VPC can trigger early threat alerts.By combining packet metadata analysis, flow telemetry, and historical modeling, Gcore helps organizations detect stealth attacks long before traditional security controls react.Automated response to contain threats at network speedDetection is only half the battle. Once an anomaly is identified, defenders must act within seconds to prevent damage.Real-world example: DNS amplification attackIf a volumetric DNS amplification attack begins saturating a branch office's upstream link, automated systems can:Apply ACL-based rate limits at the nearest edge routerFilter malicious traffic upstream before WAN degradationAlert teams for manual inspection if thresholds escalateSimilarly, if lateral movement is detected inside a cloud deployment, dynamic firewall policies can isolate affected subnets before attackers pivot deeper.Gcore’s network automation frameworks integrate real-time AI decision-making with response workflows, enabling selective throttling, forced reauthentication, or local isolation—without disrupting legitimate users. Automation means threats are contained quickly, minimizing impact without crippling operations.Hardening DDoS mitigation against evolving attack patternsDDoS attacks have moved beyond basic volumetric floods. Today, attackers combine multiple tactics in coordinated strikes. Common attack vectors in modern DDoS include the following:UDP floods targeting bandwidth exhaustionSSL handshake floods overwhelming load balancersHTTP floods simulating legitimate browser sessionsAdaptive multi-vector shifts changing methods mid-attackReal-world case study: ISP under hybrid DDoS attackIn recent years, ISPs and large enterprises have faced hybrid DDoS attacks blending hundreds of gigabits per second of L3/4 UDP flood traffic with targeted SSL handshake floods. Attackers shift vectors dynamically to bypass static defenses and overwhelm infrastructure at multiple layers simultaneously. Static defenses fail in such cases because attackers change vectors every few minutes.Building resilient networks through self-healing capabilitiesEven the best defenses can be breached. When that happens, resilient networks must recover automatically to maintain uptime.If BGP route flapping is detected on a peering session, self-healing networks can:Suppress unstable prefixesReroute traffic through backup transit providersPrevent packet loss and service degradation without manual interventionSimilarly, if a VPN concentrator faces resource exhaustion from targeted attack traffic, automated scaling can:Spin up additional concentratorsRedistribute tunnel sessions dynamicallyMaintain stable access for remote usersGcore’s infrastructure supports self-healing capabilities by combining telemetry analysis, automated failover, and rapid resource scaling across core and edge networks. This resilience prevents localized incidents from escalating into major outages.Securing the edge against decentralized threatsThe network perimeter is now everywhere. Branches, mobile endpoints, IoT devices, and multi-cloud services all represent potential entry points for attackers.Real-world example: IoT malware infection at the branchMalware-infected IoT devices at a branch office can initiate outbound C2 traffic during low-traffic periods. Without local inspection, this activity can go undetected until aggregated telemetry reaches the central SOC, often too late.Modern edge security platforms deploy the following:Real-time traffic inspection at branch and edge routersBehavioral anomaly detection at local points of presenceAutomated enforcement policies blocking malicious flows immediatelyGcore’s edge nodes analyze flows and detect anomalies in near real time, enabling local containment before threats can propagate deeper into cloud or core systems. Decentralized defense shortens attacker dwell time, minimizes potential damage, and offloads pressure from centralized systems.How Gcore is preparing networks for the next generation of threatsThe threat landscape will only grow more complex. Attackers are investing in automation, AI, and adaptive tactics to stay one step ahead. Defending modern networks demands:Full-stack visibility from core to edgeAdaptive defense that adjusts faster than attackersAutomated recovery from disruption or compromiseDecentralized detection and containment at every entry pointGcore Edge Security delivers these capabilities, combining AI-enhanced traffic analysis, real-time mitigation, resilient failover systems, and edge-to-core defense. In a world where minutes of network downtime can cost millions, you can’t afford static defenses. We enable networks to protect critical infrastructure without sacrificing performance, agility, or resilience.Move faster than attackers. Build AI-powered resilience into your network with Gcore.Check out our docs to see how DDoS Protection protects your network

Introducing Gcore for Startups: created for builders, by builders
Building a startup is tough. Every decision about your infrastructure can make or break your speed to market and burn rate. Your time, team, and budget are stretched thin. That’s why you need a partner that helps you scale without compromise.At Gcore, we get it. We’ve been there ourselves, and we’ve helped thousands of engineering teams scale global applications under pressure.That’s why we created the Gcore Startups Program: to give early-stage founders the infrastructure, support, and pricing they actually need to launch and grow.At Gcore, we launched the Startups Program because we’ve been in their shoes. We know what it means to build under pressure, with limited resources, and big ambitions. We wanted to offer early-stage founders more than just short-term credits and fine print; our goal is to give them robust, long-term infrastructure they can rely on.Dmitry Maslennikov, Head of Gcore for StartupsWhat you get when you joinThe program is open to startups across industries, whether you’re building in fintech, AI, gaming, media, or something entirely new.Here’s what founders receive:Startup-friendly pricing on Gcore’s cloud and edge servicesCloud credits to help you get started without riskWhite-labeled dashboards to track usage across your team or customersPersonalized onboarding and migration supportGo-to-market resources to accelerate your launchYou also get direct access to all Gcore products, including Everywhere Inference, GPU Cloud, Managed Kubernetes, Object Storage, CDN, and security services. They’re available globally via our single, intuitive Gcore Customer Portal, and ready for your production workloads.When startups join the program, they get access to powerful cloud and edge infrastructure at startup-friendly pricing, personal migration support, white-labeled dashboards for tracking usage, and go-to-market resources. Everything we provide is tailored to the specific startup’s unique needs and designed to help them scale faster and smarter.Dmitry MaslennikovWhy startups are choosing GcoreWe understand that performance and flexibility are key for startups. From high-throughput AI inference to real-time media delivery, our infrastructure was designed to support demanding, distributed applications at scale.But what sets us apart is how we work with founders. We don’t force startups into rigid plans or abstract SLAs. We build with you 24/7, because we know your hustle isn’t a 9–5.One recent success story: an AI startup that migrated from a major hyperscaler told us they cut their inference costs by over 40%…and got actual human support for the first time. What truly sets us apart is our flexibility: we’re not a faceless hyperscaler. We tailor offers, support, and infrastructure to each startup’s stage and needs.Dmitry MaslennikovWe’re excited to support startups working on AI, machine learning, video, gaming, and real-time apps. Gcore for Startups is delivering serious value to founders in industries where performance, cost efficiency, and responsiveness make or break product experience.Ready to scale smarter?Apply today and get hands-on support from engineers who’ve been in your shoes. If you’re an early-stage startup with a working product and funding (pre-seed to Series A), we’ll review your application quickly and tailor infrastructure that matches your stage, stack, and goals.To get started, head on over to our Gcore for Startups page and book a demo.Discover Gcore for Startups

The cloud control gap: why EU companies are auditing jurisdiction in 2025
Europe’s cloud priorities are changing fast, and rightly so. With new regulations taking effect, concerns about jurisdictional control rising, and trust becoming a key differentiator, more companies are asking a simple question: Who really controls our data?For years, European companies have relied on global cloud giants headquartered outside the EU. These providers offered speed, scale, and a wide range of services. But 2025 is a different landscape.Recent developments have shown that data location doesn’t always mean data protection. A service hosted in an EU data center may still be subject to laws from outside the EU, like the US CLOUD Act, which could require the provider to hand over customer data regardless of where it’s stored.For regulated industries, government contractors, and data-sensitive businesses, that’s a growing problem. Sovereignty today goes beyond compliance. It’s central to business trust, operational transparency, and long-term risk management.Rising risks of non-EU cloud dependencyIn 2025, the conversation has shifted from “is this provider GDPR-compliant?” to “what happens if this provider is forced to act against our interests?”Here are three real concerns European companies now face:Foreign jurisdiction risk: Cloud providers based outside Europe may be legally required to share customer data with foreign authorities, even if it’s stored in the EU.Operational disruption: Geopolitical tensions or executive decisions abroad could affect service availability or create new barriers to access.Reputational and compliance exposure: Customers and regulators increasingly expect companies to use providers aligned with European standards and legal protections.European leaders are actively pushing for “full-stack European solutions” across cloud and AI infrastructure, citing sovereignty and legal clarity as top concerns. Leading European firms like Deutsche Telekom and Airbus have criticized proposals that would grant non-EU tech giants access to sensitive EU cloud data.This reinforces a broader industry consensus: jurisdictional control is a serious strategic issue for European businesses across industries. Relying on foreign cloud services introduces risks that no business can control, and that few can absorb.What European companies must do nextEuropean businesses can’t wait for disruption to happen. They must build resilience now, before potentially devastating problems occur.Audit their cloud stack to identify data locations and associated legal jurisdictions.Repatriate sensitive workloads to EU-based providers with clear legal accountability frameworks.Consider deploying hybrid or multi-cloud architectures, blending hyperscaler agility and EU sovereign assurance.Over 80% of European firms using cloud infrastructure are actively exploring or migrating to sovereign solutions. This is a smart strategic maneuver in an increasingly complex and regulated cloud landscape.Choosing a futureproof pathIf your business depends on the cloud, sovereignty should be part of your planning. It’s not about political trends or buzzwords. It’s about control, continuity, and credibility.European cloud providers like Gcore support organizations in achieving key sovereignty milestones:EU legal jurisdiction over dataAlignment with sectoral compliance requirementsResilience to legal and geopolitical disruptionTrust with EU customers, partners, and regulatorsIn 2025, that’s a serious competitive edge that shows your customers that you take their data protection seriously. A European provider is quickly becoming a non-negotiable for European businesses.Want to explore what digital sovereignty looks like in practice?Gcore’s infrastructure is fully self-owned, jurisdictionally transparent, and compliant with EU data laws. As a European provider, we understand the legal, operational, and reputational demands on EU businesses.Talk to us about sovereignty strategies for cloud, AI, network, and security that protect your data, your customers, and your business. We’re ready to provide a free, customized consultation to help your European business prepare for sovereignty challenges.Auditing your cloud stack is the first step. Knowing what to look for in a provider comes next.Not all EU-based cloud providers guarantee sovereignty. Learn what to evaluate in infrastructure, ownership, and legal control to make the right decision.Learn how to verify EU cloud control in our blog

Outpacing cloud‑native threats: How to secure distributed workloads at scale
The cloud never stops. Neither do the threats.Every shift toward containers, microservices, and hybrid clouds creates new opportunities for innovation…and for attackers. Legacy security, built for static systems, crumbles under the speed, scale, and complexity of modern cloud-native environments.To survive, organizations need a new approach: one that’s dynamic, AI-driven, automated, and rooted in zero trust.In this article, we break down the hidden risks of cloud-native architectures and show how intelligent, automated security can outpace threats, protect distributed workloads, and power secure growth at scale.The challenges of cloud-native environmentsCloud-native architectures are designed for maximum flexibility and speed. Applications run in containers that can scale in seconds. Microservices split large applications into smaller, independent parts. Hybrid and multi-cloud deployments stretch workloads across public clouds, private clouds, and on-premises infrastructure.But this agility comes at a cost. It expands the attack surface dramatically, and traditional perimeter-based security can’t keep up.Containers share host resources, which means if one container is breached, attackers may gain access to others on the same system. Microservices rely heavily on APIs to communicate, and every exposed API is a potential attack vector. Hybrid cloud environments create inconsistent security controls across platforms, making gaps easier for attackers to exploit.Legacy security tools, built for unchanging, centralized environments, lack the real-time visibility, scalability, and automated response needed to secure today’s dynamic systems. Organizations must rethink cloud security from the ground up, prioritizing speed, automation, and continuous monitoring.Solution #1: AI-powered threat detection forsmarter defensesModern threats evolve faster than any manual security process can track. Rule-based defenses simply can’t adapt fast enough.The solution? AI-driven threat detection.Instead of relying on static rules, AI models monitor massive volumes of data in real time, spotting subtle anomalies that signal an attack before real damage is done. For example, an AI-based platform can detect an unauthorized process in a container trying to access confidential data, flag it as suspicious, and isolate the threat within milliseconds before attackers can move laterally or exfiltrate information.This proactive approach learns, adapts, and neutralizes new attack vectors before they become widespread. By continuously monitoring system behavior and automatically responding to abnormal activity, AI closes the gap between detection and action, critical in cloud-native, regulated environments where even milliseconds matter.Solution #2: Zero trust as the new security baseline“Trust but verify” no longer cuts it. In a cloud-native world, the new rule is “trust nothing, verify everything”.Zero-trust security assumes that threats exist both inside and outside the network perimeter. Every request—whether from a user, device, or application—must be authenticated, authorized, and validated.In distributed architectures, zero trust isolates workloads, meaning even if attackers breach one component, they can’t easily pivot across systems. Strict identity and access management controls limit the blast radius, minimizing potential damage.Combined with AI-driven monitoring, zero trust provides deep, continuous verification, blocking insider threats, compromised credentials, and advanced persistent threats before they escalate.Solution #3: Automated security policies for scalingprotectionManual security management is impossible in dynamic environments where thousands of containers and microservices are spun up and down in real time.Automation is the way forward. AI-powered security policies can continuously analyze system behavior, detect deviations, and adjust defenses automatically, without human intervention.This eliminates the lag between detection and response, shrinks the attack window, and drastically reduces the risk of human error. It also ensures consistent security enforcement across all environments: public cloud, private cloud, and on-premises.For example, if a system detects an unusual spike in API calls, an automated security policy can immediately apply rate limiting or restrict access, shutting down the threat without impacting overall performance.Automation doesn’t just respond faster. It maintains resilience and operational continuity even in the face of complex, distributed threats.Unifying security across cloud environmentsSecuring distributed workloads isn’t just about having smarter tools, it’s about making them work together. Different cloud platforms, technologies, and management protocols create fragmentation, opening cracks that attackers can exploit. Security gaps between systems are as dangerous as the threats themselves.Modern cloud-native security demands a unified approach. Organizations need centralized platforms that pull real-time data from every endpoint, regardless of platform or location, and present it through a single management dashboard. This gives IT and security teams full, end-to-end visibility over threats, system health, and compliance posture. It also allows security policies to be deployed, updated, and enforced consistently across every environment, without relying on multiple, siloed tools.Unification strengthens security, simplifies operations, and dramatically reduces overhead, critical for scaling securely at cloud-native speeds. That’s why at Gcore, our integrated suite of products includes security for cloud, network, and AI workloads, all managed in a single, intuitive interface.Why choose Gcore for cloud-native security?Securing cloud-native workloads requires more than legacy firewalls and patchwork solutions. It demands dynamic, intelligent protection that moves as fast as your business does.Gcore Edge Security delivers robust, AI-driven security built for the cloud-native era. By combining real-time AI threat detection, zero-trust enforcement, automated responses, and compliance-first design, Gcore security solutions protect distributed applications without slowing down development cycles.Discover why WAAP is essential for cloud security in 2025

Announcing a new AI-optimized data center in Southern Europe
Good news for businesses operating in Southern Europe! Our newest cloud regions in Sines, Portugal, give you faster, more local access to the infrastructure you need to run advanced AI, ML, and HPC workloads across the Iberian Peninsula and wider region. Sines-2 marks the first region launched in partnership with Northern Data Group, signaling a new chapter in delivering powerful, workload-optimized infrastructure across Europe. And Sines-3 expands capacity and availability for the region.Strategically positioned in Portugal, Sines-2 and Sines-3 enhance coverage in Southern Europe, providing a lower-latency option for customers operating in or targeting this region. With the explosive growth of AI, machine learning, and compute-intensive workloads, these new regions are designed to meet escalating demand with cutting-edge GPU and storage capabilities.You can activate Sines-2 and Sines-3 for GPU Cloud or Everywhere Inference today with just a few clicks.Built for AI, designed to scaleSines-2 and Sines-3 bring with them next-generation infrastructure features, purpose-built for today's most demanding workloads:NVIDIA H100 GPUs: Unlock the full potential of AI/ML training, high-performance computing (HPC), and rendering workloads with access to H100 GPUs.VAST NFS (file sharing protocol) support: Benefit from scalable, high-throughput file storage ideal for data-intensive operations, research, and real-time AI workflows.IaaS portfolio: Deploy Virtual Machines, manage storage, and scale infrastructure with the same consistency and reliability as in our flagship regions.Organizations operating in Portugal, Spain, and nearby regions can now deploy workloads closer to end users, improving application performance. For finance, healthcare, public sector, and other organisations running sensitive workloads that must stay within a country or region, Sines-2 and Sines-3 are easy ways to access state-of-the-art GPUs with simplified compliance. Whether you're building AI models, running simulations, or managing rendering pipelines, Sines-2 and Sines-3 offer the performance, capacity, availability, and proximity you need.And best of all, servers are available and ready to deploy today.Run your AI workloads in Portugal todayWith these new Sines regions and our partnership with Northern Data Group, we're making it easier than ever for you to run AI workloads at scale. If you need speed, flexibility, and global reach, we're ready to power your next AI breakthrough.Unlock the power of Sines-2 and Sines-3 today

GTC Europe 2025: watch Seva Vayner on European AI trends
Inference is becoming Europe’s core AI workload. Telcos are moving fast on low-latency infrastructure. Data sovereignty is shaping every deployment decision.At GTC Europe, these trends were impossible to miss. The conversation has moved beyond experimentation to execution, with exciting, distinctly European priorities shaping conversations.Gcore’s own Seva Vayner, Product Director of Edge Cloud and AI, shared his take on this year’s event during GTC. He sees a clear shift in what European enterprises are asking for and what the ecosystem is ready to deliver.Scroll on to watch the interview and see where AI in Europe is heading.“It’s really a pleasure to see GTC in Europe”After years of global AI strategy being shaped primarily by the US and China, Europe is carving its own path. Seva notes that this year’s GTC Europe wasn’t just a regional spin-off. it marked the emergence of a distinctly European voice in AI development.“First of all, it's really a pleasure to see that GTC in Europe happened, and that a lot of European companies came together to have the conversation and build the ecosystem.”As Seva notes, the real excitement came from watching European players collaborate. The focus was less on following global trends and more on co-creating the region’s own AI trajectory.“Inference workloads will grow significantly in Europe”Inference was a throughline across nearly every session. As Seva points out, Europe is still at the early stages of adopting inference at scale, but the shift is happening fast.“Europe is only just starting its journey into inference, but we already see the trend. Over the next 5 to 10 years, inference workloads will grow significantly. That’s why GTC Europe is becoming a permanent, yearly event.”This growth won’t just be driven by startups. Enterprises, governments, and infrastructure providers are all waking up to the importance of real-time, regional inference capabilities.“There’s real traction. Companies are more and more interested in how to deliver low-latency inference. In a few years, this will be one of the most crucial workloads for any GPU cloud in Europe.”“Telcos are getting serious about AI”One of the clearest signs of maturity at GTC Europe was that telcos and CSPs are actively looking to deploy AI. And they’re asking the hard questions about how to integrate it into their infrastructure at a vast scale.“One of the most interesting things is how telcos are thinking about adopting AI workloads on their infrastructure to deliver low latency. Sovereignty is crucial, especially for customers looking to serve training or inference workloads inside their region. And also user experience: how can I get GPU capacity in clusters, or deliver inference in just a few clicks?”This theme—fast, sovereign, self-service AI—popped up again and again. Telcos and service providers want frictionless deployment and local control.“Companies are struggling most with data”While model deployment and infrastructure strategy took center stage, Seva reminds us that data processing and storage remains the bottleneck. Enterprises know they need to adopt AI, but they’re still navigating where and how to store and process the data that fuels it.“One of the biggest struggles for end customers is the data: where it’s processed, where it’s stored, and what kind of capabilities are available. From a European perspective, we already see more and more companies looking for sovereign data privacy and simple, mature solutions for end users.”That’s a familiar challenge for enterprises operating under GDPR, NIS2, and other compliance frameworks. The new wave of AI infrastructure has to be built for performance and for trust.AI in Europe: responsible, scalable, and localSeva’s key takeaway is that AI in Europe is no longer about catching up, it’s about doing it differently. The questions have changed from “Should we do AI?” to “How do we scale it responsibly, reliably, and locally?”From sovereign deployment to edge-first infrastructure, GTC Europe 2025 showed that inference is the foundation of how European businesses plan to run AI. “The ecosystem is coming together,” explains Seva. “And the next five years will be crucial for defining how AI will work: not just in the cloud, but everywhere.”If you’re looking to reduce latency, cut costs, and stay compliant while deploying AI in production, we invite you to download our free ebook, The inference optimization playbook.Download our free inference optimization playbook
Subscribe to our newsletter
Get the latest industry trends, exclusive insights, and Gcore updates delivered straight to your inbox.