Next-gen CDN. Global. Fast. Flexible.
Speed up your websites, applications and downloads
Low Latency Worldwide
With Gcore CDN, your users will reach your app as if the hosting is always located in the same location as they are.
Dynamic Content Acceleration
Our dynamic content acceleration makes web applications smoother and more responsive, speeding up the delivery time of generated content.
Outstanding Availability
Gcore CDN can easily protect the server from overloading during unexpected traffic surges or denial-of-service (DDoS) attacks.
Advanced functionality
IPv4 / IPv6
Our entire infrastructure supports both IPv4 and IPv6 protocols
Global network
We invest in our global network to free you from having to buy expensive infrastructure.
210+ PoPs
worldwide
200+ Tbps
network capacity
30 ms
avg. latency worldwide
85%
avg. cache hit ratio
2,000,000
requests per seconds
14 Tbps
daily peak bandwidth
Use Cases
Web Applications & E-commerce
Improved website speedAcceleration of the dynamically-generated assetsImage compression and transformation on-the-flyInstant playback for your product videoAvailability during traffic surges and DDoS-attacksTLS encryption and access controlGames & Software Assets
200 Tbps of global network capacityContent prefetchingLarge file delivery optimizationCache sharding for better latencyOrigin server shieldingVideo Streaming
200 Tbps of global network capacityReduced TTFB for instant playbackBetter connectivity for stream integrityMicro-segmented caching for live videoRAM caching for live videoPublic and restricted access controlOrigin server shielding
Optimized for video streaming
Gcore CDN is an optimized solution well-suited for video-on-demand (VOD) and live streaming.
Image Optimization as a Service
Image Stack by Gcore is a cloud-based image optimization tool that helps website owners and web developers simplify their working routines. It helps cut bandwidth costs and improve user experience by just applying small changes in URL query strings and your website settings.
Convert to WebP, AVIF
Compressing images in WebP or AVIF formats could deliver up to 85% file size savings at a given quality level.
Control image quality
Set the quality level for your website images, thereby controlling the webpage load speed and the amount of transmitting CDN traffic.
Resize images
It allows you to reduce your original image's height, width, and scale by adding just a few query strings.
Crop images
It allows you to reduce the excessive image area beyond the established parameters and deliver it to the users.
Extended API and DevOps-Ready
Gcore CDN is ready to complement and enhance your infrastructure’s automation.
Extended API allows you to benefit from our CDN without impacting your regular operations.
Go to product docs → { "cname": "cdn.example.com","originGroup": 132,"origin": "example.com","secondaryHostnames": ["first.example.com","second.example.com"],"le_issue": true,"description": "My resource" } 
Built-in web security
- SSL/TLS Encryption
- Advanced access policies
- L3, L4, L7 DDoS mitigation
- Next-gen WAF
Protect your web application from unauthorized access and different denial-of-service (DDoS) attack vectors.
Learn more →Recent case studiesMore case studies
Futureproof DDoS defense: dataforest’s partnership with Gcore
Businesses face a challenge: the rise in DDoS attacks using bandwidths of 1 terabit per second (Tbps) and above means they must continuously improve their protection. The latest Gcore Radar Report provides compelling evidence that threats are increasing and attacks are becoming bigger and more frequent every day. dataforest GmbH, which specializes in repelling complex, large-scale DDoS attacks, saw this situation as an opportunity to expand its own capacity.Infrastructure expansion: migrating to modern technologiesIn mid-2023, dataforest began its migration to a new edge-routing concept and upgraded its key transit ports to cutting-edge 400G technology. The company’s partnership with Gcore was decisive in effecting this change. Equipping dataforest with multiple 400 Gbps ports enables it to meet high bandwidth requirements while ensuring the optimum traffic mix, maximum redundancy, and outstanding reliability.We know we can always count on Gcore and see them as a reliable partner. The provision of 400G ports and the excellent cooperation between the two companies’ network departments allow dataforest to continue developing its proprietary zero-loss anti-DDoS solution autonomously. It also means that dataforest can offer customized protection solutions for a wide range of customer needs.– Tim Hochmann, CEO, dataforestInnovation with zero-loss DDoS protectiondataforest uses Gcore’s modern infrastructure to implement innovative zero-loss DDoS protection. This technology gives customers uninterrupted access to their services even under extreme loads. Behind it is a high-performance backbone with a capacity of several Tbps, which provides a stable and reliable foundation for demanding applications.Efficient support: flexibility and fast response timesGcore wins customers over with its technical stability and top-level support, which is characterized by exceptional flexibility and fast response times. In the event of performance losses, networks can often be optimized within just a few minutes using rapid analyses and targeted measures. This agility plays a decisive role in ensuring stability and allowing continuous adaptation to the requirements of dynamic scenarios.Customer focus: specific solutions for dataforestdataforest also saw Gcore’s ability to respond to its specific requirements as key to the collaboration. One example of this is the establishment of a dedicated point of presence (PoP) on the Interxion campus in Frankfurt, Germany. This PoP was built especially for dataforest and fine-tuned to fulfill the company’s particular performance requirements perfectly. Despite the technical complexity, commissioning went smoothly and without any need to compromise on bandwidth, flexibility, or efficiency. “The fact that our edge routing takes place in such a central location on the same campus meant that we could further reduce costs and latencies,” says Tim Lauderbach, who is responsible for the dataforest network. “Our customers therefore benefit from even better and cheaper premium traffic.”Technological synergies: collaborating on BGP FlowspecAnother example of the close collaboration between Gcore and dataforest was the successful implementation of BGP Flowspec. This technology makes it possible to automatically contain volumetric DDoS attacks at network edges within just a few seconds. Thanks to Gcore’s global network of over 180 PoPs, attacks can be limited at the source, creating additional protection for both networks.
How ProSieben scaled Germany’s Next Top Model TOPSHOT for real-time AI portraits with Gcore
To celebrate the 20th season of Germany’s Next Top Model (GNTM), ProSieben’s marketing team launched GNTM TOPSHOT, an AI-powered feature in the Joyn app that instantly transforms user photos into studio-grade, show-inspired portraits.At broadcast scale, the challenge was steep: handle massive primetime spikes, deliver results instantly, and guarantee strict EU privacy compliance. To make it possible, ProSieben turned to Gcore Everywhere AI.“We needed something that could scale on demand, deliver in seconds, and keep data local. Gcore’s infrastructure let us bring a creative idea to life - without breaking the user experience.”- Simon Hawe, Technical Lead, JoynThe challenge: broadcast-scale creativity in real timeTOPSHOT had to satisfy five tough, non-negotiable requirements:Primetime surges. Usage surged before, during, and after live broadcasts across Germany, Austria, and Switzerland.Ultra-low latency. Fans expected results within 5 - 10 seconds per portrait, end-to-end.Privacy by design. Joyn deletes all photos immediately to keep user data truly private - no caching, no storage. Caching wasn’t an option; every request had to be generated fresh.High fidelity. Each portrait required a ~100-stage pipeline for segmentation, relighting, skin/pose preservation, and compositing, to match GNTM’s signature aesthetic.Frictionless UX. No login required. The feature had to “just work,” even on mobile connections.Turning fans into models in real timeProSieben needed an inference platform that was scalable, privacy-compliant, and easy to integrate. Gcore Everywhere AI delivered:One endpoint, nearest node. Smart Routing automatically sent each request to the closest GPU endpoint, minimizing jitter and wait times.Autoscaling GPUs. Serverless orchestration spun GPU capacity up or down in real time, handling unpredictable primetime peaks.EU-ready deployments. Hybrid support (on-prem, Gcore Cloud, public cloud) gave ProSieben full flexibility on data residency.Optimized for image workloads. Everywhere AI ran TOPSHOT’s complex pipelines on NVIDIA H100, A100, and L40S GPUs - excellent for generative image models.“Our biggest challenge was combining visual fidelity with real-time response. Gcore’s Smart Routing and auto-scaling made that possible at primetime scale.”- Benjamin Risom, Chief Product Officer, JoynThe architecture allowed ProSieben to:Route all traffic through a single inference endpoint, fronted by their own load balancerKeep portrait generation under 10 seconds - even during broadcast surgesMeet strict privacy guarantees: no logins, no storage of inputs or outputsDeliver a seamless experience inside the Joyn appTOPSHOT went live with five portrait scenes in April 2025, with three more added weeks later.“We could focus on the creative, knowing the infrastructure would scale with us. That made it possible to deliver something really special for our viewers.”— Sebastian v. Wyschetzki, Creative Lead, Seven.One Entertainment GroupReal-time engagement, broadcast scaleTOPSHOT launched into a season already driving cultural buzz.The GNTM Season 20 finale (June 19, 2025) drew 3.87M viewers with a 22.4% share in the 14 - 49 demo.Joyn saw 10M viewers in April 2025 (+80% YoY) and a 40% increase in watch time in Q1 2025 YoY.TV Total host Sebastian Pufpaff demoed TOPSHOT live on air, praising the visuals and sparking organic uptake.Trade press highlighted the “scalable Gcore infrastructure” behind the feature.“Gcore’s platform gave us regional performance, privacy control, and GPU scaling without the heavy lifting of building and managing infrastructure ourselves.”— Paolo Garri, Infrastructure Architect, JoynWhat’s next?Building on TOPSHOT’s success, ProSieben is playing with new potential fan-facing AI experiences: video portraits, real-time filters, or stylized animations. With Gcore’s flexible infrastructure, the team is free to keep experimenting without re-architecting.“The success of TOPSHOT showed us what’s possible. Now we’re asking: how far can we take this?”— Jutta Meyer, Executive VP Marketing & Creation, Seven.One Entertainment Group
Higgsfield AI kickstarts partnership with Gcore for scalable AI infrastructure and Managed Kubernetes support
Founded in 2023, Higgsfield is building the Video Reasoning engine for the attention economy. Its AI-native, browser-based platform condenses ideation, editing, and post-production into a single workflow, enabling creators and enterprises to produce cinematic-quality short-form video in minutes instead of weeks.Higgsfield delivers fast, controllable, and scalable outcomes that preserve narrative continuity and cultural resonance across media, marketing, and brand communication. With operations spanning the US, Europe, and Asia, Higgsfield is headquartered in Silicon Valley and backed by world-class investors and veteran technologists with a track record of billion-scale products and outcomes.As they prepare for scale and increasing demand, Higgsfield needed robust, flexible infrastructure that could meet the needs of their dynamic workloads and rapidly growing user base.What it takes to power generative AI at scaleHiggsfield had worked with other GPU providers, but struggled with limited capacity and the lack of scalable orchestration options. The generative platform relies on running large-scale AI models efficiently, so their team's key infrastructure priorities were:Instant access to high-performance H100 GPUs with the ability to scale up and down based on project demandAutoscaling GPU infrastructure to support unpredictable, high-volume generative AI workloadsManaged Kubernetes with GPU worker nodes, load balancers, and cloud networking for ease of orchestration, autoscaling, and reliabilityFast onboarding and close support to move quickly from testing to deploymentTransparent and predictable pricing with fast and simple contracting, and PAYG or commitment models available.Availability and flexibility for future expansionWhy Gcore infrastructure stood out from the crowdHiggsfield approached Gcore in need of a large volume of H100 GPUs immediately, and with the flexibility to scale on demand. Gcore provided rapid access to the required H100 GPUs, helping Higgsfield eliminate supply constraints and meet fast-moving development timelines.Transparent pricing gave Higgsfield budget predictability and easier cost control, which was essential for their high-frequency release cycles. They also valued Gcore’s commitment to sustainable hardware design, high reliability and uptime, and 24/7 availability of DevOps engineering support.Additionally, deploying infrastructure through the Gcore Sines 3 cluster in Portugal provided the regional flexibility and high-performance Higgsfield needed to support its platform.Higgsfield chose Gcore for its ability to deliver managed Kubernetes with GPU worker nodes, enabling them to scale dynamically, flexing compute resources based on real-time user demand. Speed and flexibility are essential to Higgsfield's operations: They expect to start cooperating with partners quickly and scale capacity on demand. The streamlined service offering, fast onboarding, and highly responsive support that Gcore provides enabled them to do exactly that.“The combination of GPU scaling, H100 availability, and Managed Kubernetes was invaluable for us. Gcore gave us the control and flexibility our engineering team needed to move flexibly and fast.”— Alex Mashrabov, CEO, Higgsfield AIA fast, hands-on start with dedicated engineering supportGcore’s team provided dedicated engineering support and helped Higgsfield test their workloads through a one-week trial. After validating performance, Higgsfield quickly transitioned to full deployment.“Direct access to Gcore’s engineering team made the onboarding smooth and efficient. We could test and validate quickly, then scale up without friction.”— Anwar Omar, Lead Infrastructure Engineer, Higgsfield AIScalable performance and a strong foundation for growthWhile it’s early days, Higgsfield is already live and actively running GPU-powered workloads with Gcore in production.The key outcomes so far include:Seamless deployment to a managed Kubernetes environment with GPU worker nodes and autoscalingOn-demand access to H100 GPUs for compute-intensive generative workloadsKubernetes-based orchestration for efficient container scaling and resource optimizationScalable infrastructure that flexes based on demandA strong foundation for future product growth and global scalingWhat’s next?Higgsfield is currently exploring the possibility of extending the relationship beyond model training and into distributed inference infrastructure with Everywhere AI.Their product roadmap involves releasing new features at a high velocity, often requiring larger GPU volumes for short periods, making flexible infrastructure a must. Gcore’s scalable, on-demand model supports this cadence without overprovisioning.We’re excited about the potential of our partnership with Gcore. The team has been incredibly responsive, and the infrastructure is a great fit for Higgsfield. We’re actively exploring additional possibilities, from Everywhere AI to broader scaling, and we’re looking forward to seeing where this collaboration can take us next.— Alex Mashrabov, CEO, Higgsfield AI
Leonardo AI delivers high-speed, global content creation with Gcore AI services
Leonardo.Ai helps creators turn ideas into stunning AI-generated content in seconds. Headquartered in Australia and now part of Canva, the company gives game developers, designers, and marketers powerful tools to generate and refine images, videos, and creative assets in real time.As James Stewart, DevOps Engineering Manager at Leonardo.Ai explains, the team’s top priority is speed. Their north-star value is “go fast”, taking ideas to prototype and release at an impressive pace. But delivering that kind of speed at scale takes serious GPU infrastructure and deep levels of expertise around orchestration.Seeking speed, scale, and infrastructure maturity under pressureDelivering AI speed at scale for customers worldwide requires powerful, on-demand GPU inference infrastructure. Early on, Leonardo found that limited GPU availability and high cost were bottlenecks.GPUs make up a significant part of our operating costs, so competitive pricing and availability are crucial for us.James Stewart, DevOps Engineering Manager, Leonardo.AiWith big growth goals ahead, Leonardo needed an efficient, flexible GPU provider that would support their plans for speed and scale. They looked at AI providers from global hyperscalers to local GPU services. Some providers looked promising but had no availability. Others offered low prices or easy access (no long-term commitment) but were missing essential features like private networking, infrastructure-as-code, or 24/7 support.Cheap GPUs alone weren’t enough for us. We needed a mature platform with Terraform support, private networking, and reliable support. Otherwise, deployment and maintenance become really painful for our engineers at scale.James Stewart, DevOps Engineering Manager, Leonardo.AiFortunately, they found what they were looking for in Gcore: solid GPU availability thanks to its Northern Data partnership, a fully-featured cloud platform, and genuinely helpful technical support.We chose Gcore for overall platform integration, features, and support. Compared to some of the less capable GPU providers we’ve utilized, when using Gcore our engineers don’t need to battle with manual infrastructure deployment or performance issues. Which means they can focus on the part of the job that they love: actually building.James Stewart, DevOps Engineering Manager, Leonardo.AiFinding a flexible provider that can meet Leonardo’s need for speedLeonardo AI needed infrastructure that wouldn’t slow innovation or momentum. With Gcore, it found a fast, flexible, and reliable AI platform able to match its speed of development and ambition. Leonardo chose to run their inference on Gcore GPU Cloud with Bare Metal hosting, offering isolation, power, and flexibility for their AI workloads. Their demanding inference workloads run on current-gen NVIDIA H100 and A100 GPUs with zero virtualization overhead. This means their image and video generation services deliver fast, high-res output with no lag or slowdowns, even under the heaviest loads.On-demand pricing lets Leonardo AI scale GPU usage based on traffic, product cycles, or model testing needs. There’s no overprovisioning or unnecessary spending. Leonardo gets a lean, responsive setup that adapts to the business’ scale, coupled with tailored support so their team can get the most out of the infrastructure.We push our infrastructure hard and Gcore handles it with ease. The combination of raw GPU power, availability, fast and easy provisioning, and flexible scaling lets us move as fast as we need to. What really sets Gcore apart though, is the hands-on, personalized support. Their team really understands our setup and helps us to optimize it to our specific needs.James Stewart, DevOps Engineering Manager, Leonardo.AiDelivering real-time creation with top-tier AI infrastructurePartnering with Gcore helps Leonardo to maintain its famously rapid pace of development and consistently deliver innovative new features to Leonardo.Ai users.With Gcore, we can spin up GPU nodes instantly and trust that they’ll work reliably and consistently. Knowing that Gcore has the capacity that we need, when we need it, allows us to quickly and confidently develop new, cutting-edge features for Leonardo customers without worrying whether or not we’ll have the GPUs available to power them.James Stewart, DevOps Engineering Manager, Leonardo.AiThe team now uses Terraform to provision GPUs on demand, and containerised workflows to “go fast” when deploying the suite of Gcore AI services powering Leonardo.Ai.Powering global AI creativityGcore GPU Cloud has become part of the backbone of Leonardo AI’s infrastructure. By offloading infrastructure complexity to Gcore, the Leonardo AI team can stay focused on their customers and innovation.Our partnership with Gcore gives us the flexibility and performance to innovate without limits. We can scale our AI workloads globally and keep our customers creating.James Stewart, DevOps Engineering Manager, Leonardo.AiReady to scale your AI workloads globally? Discover how Gcore’s AI services can power your next-generation applications. Find out more about GPU Cloud and Everywhere Inference, see how easy it is to deploy with just three clicks, or get in touch with our AI team for a personalized consultation.
Trusted by experts
Testimonials
For security and scalability reasons, we decided right away that we wanted to entrust the delivery of our customers’ videos to a reputable CDN provider. We settled on the infrastructure of Gcore and don’t regret our choice.
Nathan Ihlenfeldt
We managed to transfer all our resources without any problems. Our users did not notice any changes. Thanks to Gcore, we achieved the results we expected and saved over 40% on CDN infrastructure in a year.
David Salz
I want to be able to quickly deliver content to my visitors, and Gcore does a great job of this.
Ethan Cheong