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Recent case studiesMore case studies
Saber delivers record-breaking launch for Warhammer 40,000: Space Marine 2 with Gcore
Founded in 2001, Saber Interactive is renowned for developing games across major platforms. Their portfolio includes hugely popular titles like Warhammer 40,000: Space Marine 2, World War Z, SnowRunner, and RoadCraft. With a commitment to delivering exceptional gaming experiences, Saber continually pushes the boundaries of game development and innovation.Preparing for massive player surges during a hotly anticipated title launchIn September 2024, Saber prepared to launch Warhammer 40,000: Space Marine 2, one of the most eagerly awaited releases in the franchise's history. Given the overwhelming excitement surrounding the game, the team anticipated an enormous surge in player activity, particularly during launch week. Achieving a smooth and uninterrupted experience for millions of players requires careful planning—choosing the right infrastructure was critical to preventing performance bottlenecks, latency issues, or downtime.For the launch of Space Marine 2, Saber developed Hydra, an advanced multiplayer game services middleware that enables cross-platform play, matchmaking, and dedicated server management. This proprietary technology allows for a hybrid approach to server hosting, combining bare-metal servers with cloud-based infrastructure to handle peak concurrent user (CCU) demands efficiently. Saber needed to select the optimal infrastructure providers that could integrate with Hydra’s architecture and deliver reliable performance with low latency and fast load times, leveraging edge delivery.During our major game launches, we see a substantial increase in concurrent players, requiring robust server support to maintain optimal performance and the best gaming experience for our players.Janna Goranskaya, Head of Business Development CIS&EE, Saber InteractiveDeploying 300+ bare metal servers and high-performance virtual machines for a seamless global launchTo meet the launch demand and deliver a smooth experience, Saber turned to Gcore as their primary provider for bare metal servers in most regions worldwide, continuing a trusted partnership from previous game releases like World War Z. Gcore provided over 300 bare metal servers optimized for the most latency-sensitive workloads, delivering minimal lag and uninterrupted gameplay. High-performance virtual machines complemented this foundation by supporting additional gaming infrastructure, including testing and development environments.Hydra enabled Space Marine 2 to dynamically utilize this hybrid infrastructure, orchestrating resources efficiently between Gcore Bare Metal and cloud services to address fluctuating player demands while maintaining seamless cross-platform multiplayer experiences. Built-in DDoS protection—available by default for both bare metal and virtual machines from Gcore—played a critical role in safeguarding Saber’s game servers from malicious attacks, supporting a secure and stable launch.Gcore’s extensive range of bare metal configurations allowed us to select the ideal setup for each workload, providing maximum performance across all aspects of our game infrastructure. Their ability to customize servers to meet the specific requirements of our game engine was essential in optimizing performance and delivering a seamless experience for players worldwide.Kirill Igumnov, Lead Backend Infrastructure Developer at Hydra Team, Saber InteractiveFlexible and scalable server solutions for ultimate efficiencyThe Gcore pay-as-you-go model with hourly billing for bare metal servers offered Saber the flexibility to scale server usage in line with player demand. During the initial launch phase, server capacity was ramped up to accommodate the influx of players, with the ability to scale down as demand normalized over time.The flexibility of Gcore Bare Metal servers allowed us to manage resources efficiently, scaling up during peak times and reducing capacity as needed without long-term commitments. This is perfect for the fluctuating demands of a new title launch during its first weeks.Dmitri Brevdo, Head of Game Services, Saber InteractivePowering a record-breaking game launchWith Gcore support, Saber successfully launched Space Marine 2, which set new franchise records with over 400,000 concurrent players. The robust hybrid server infrastructure enabled a seamless experience for players worldwide, even during peak usage periods. The game attracted more than two million players within the first few days of its release.Our Hydra platform integrated seamlessly with Gcore’s infrastructure, giving us the perfect combination of performance and flexibility. The Gcore global network allows us to deploy servers exactly where our players are, providing minimal latency and a smooth gaming experience.Vladislav Nazaruk, Senior Backend Developer at Hydra Team, Saber InteractiveCelebrating six years of collaborationOver the past six years, Saber and Gcore have cultivated a strong partnership focused on flexibility, trust, and performance.Our long-standing relationship with Gcore has been pivotal in our ability to deliver high-quality games to a global audience. Their dedication to innovation and performance aligns perfectly with our commitment to gamer experience.Janna Goranskaya, Head of Business Development CIS&EE, Saber InteractiveBy choosing Gcore as the main provider of bare metal servers for integration with their Hydra middleware’s hybrid approach, Saber has effectively managed the challenges of several large-scale game launches. Powered by high-frequency CPUs/vCPUs, these servers provide the dedicated compute resources needed for latency-sensitive applications, guaranteeing optimal performance and stable connections for real-time gaming experiences. This partnership has resulted in seamless performance during peak periods, contributing to the success and popularity of their titles.Achieving seamless, scalable, and successful game launches with GcoreBy leveraging an extensive global network with 180+ points of presence (PoPs) and continuously evolving to deliver cutting-edge infrastructure, Gcore is well-equipped to meet the gaming industry’s demands and pace of innovation, no matter the use case.If you’re looking for high-performance, flexible infrastructure that can scale with your plans, contact us to talk through your bare metal or virtual machine needs.Contact us
Riga Technical University accelerates genomic research with Gcore GPU Cloud
We saw a 95% reduction in processing time, but more than speed, we also gained flexibility. We could scale from 2 to 8 GPUs instantly, and because usage was on-demand, we only paid for what we needed.Andris Locāns, Head of RTU HPCCompany backgroundRiga Technical University High-Performance Computing Center (RTU HPC) is Latvia’s largest supercomputing resource provider, supporting scientific and technological advancements across the Baltic region. RTU HPC has collaborated with multiple research institutions, including the Latvian Biomedical Research and Study Centre (BMC), a leader in molecular biology and biomedical research. BMC’s genomic research focuses on analyzing thousands of human genomes as part of European initiatives.Accelerating AI-powered genomic processing without compromising controlGenomic research is essential for understanding human health and disease origins, but like any activity that requires sizeable data-set processing, its computational demands are immense. In Latvia, the Riga Technical University High Performance Computing Center (RTU HPC) is leading a shift from traditional scientific computing toward an AI-first model of innovation.Working alongside the Latvian Biomedical Research and Study Centre (BMC), the team set out to solve a critical challenge: rapidly process thousands of human genomes using AI, without losing time or control to hardware bottlenecks or foreign cloud vendors.Essentially, what we wanted was to accelerate variant calling, the computational process of identifying genetic variations.Edgars Liepa, Scientific Assistant, BMCTraditional CPU-based computing often struggles with large-scale genome sequencing and analysis, leading to extended processing times. As a result, the RTU HPC faced several key challenges:The need for faster genome sequencing to support biomedical research.High compute requirements for analyzing large datasets efficiently.The difficulty of sourcing high-performance GPU hardware within a short timeframe.Ensuring cost-effective and scalable computing solutions without major upfront investments.GPU-as-a-service (GPUaaS) for genomic researchRTU HPC turned to Gcore, provisioning Cloud GPUs for immediate access to high-performance computing. Instead of waiting months for on-premises GPU hardware, they gained on-demand access to NVIDIA’s most advanced GPUs—including the H100, designed for AI inference at scale, and located on Gcore’s European cloud infrastructure.“We didn’t want to offload sensitive health data to platforms outside our legal jurisdiction,” Andris Locāns, Head of RTU HPC explains. “Gcore extensive infrastructure enabled us to maintain data sovereignty and compliance by keeping our data in-region, while still delivering the AI acceleration we needed.”This immediately unlocked the following benefits for the team:Instant access to powerful GPUs: Avoiding long procurement cycles for physical infrastructure.Scalability & cost-efficiency: Gcore’s pay-as-you-go model allowed RTU HPC to allocate resources flexibly based on research demands.Data sovereignty: Ensuring genomic data remains within a secure, compliant cloud infrastructure in the Baltic region.Optimized performance: Benchmarking multiple GPU configurations (V100, A100, L40S, H100) for genomic analysis with NVIDIA Clara Parabricks software.“With Gcore, we had near-instant access to compute that would have taken us six months to deploy internally,” says Edgars Liepa, Scientific Assistant at BMC. “That completely changed the pace of our work.”Benchmarking performance for maximum efficiencyRTU HPC and BMC collaborated with Gcore to conduct extensive performance tests on various GPU configurations. By leveraging Cloud GPUs, they identified optimal setups for accelerating genomic workflows.Comparison of CPU vs. GPU: Genome sequencing that previously took over 650 minutes on CPUs was reduced to under 30 minutes with GPU-powered processing.Testing NVIDIA GPUs: Experiments with GPU configurations provided insights into computational efficiency, with findings indicating that scaling up GPUs did not always equate to faster processing.Future discussions with NVIDIA: Gcore’s collaboration enabled further optimizations in GPU usage for genomic analysis.A comparison of CPU and GPU computing times: while CPU processing time exceeded 650 minutes, it could be significantly reduced to under 30 minutes for all tested configurations when using fq2bam H100Faster, scalable, and cost-effective genomic researchNVIDIA H100 GPUs, provided as-a-service by Gcore, delivered graphics processing units with a compute performance that is revolutionizing cloud infrastructure. They are also specifically designed with the power required for high-performance computing tasks such as computational genomics. “It was important for us to see how fast inference runs on the H100,” says Edgars Liepa, “We didn’t customize the model but instead used one developed by NVIDIA, which was already well suited for our task.”The collaboration between RTU HPC, BMC, and Gcore delivered significant benefits to the research program, including:Significant reduction in processing time: Variant calling tasks were completed up to 50x faster.Cost savings with on-demand GPUs: Eliminating upfront hardware investments while optimizing computing costs.Scalable infrastructure: The ability to dynamically allocate resources based on real-time needs.Data sovereignty and security: Genomic data was processed within a compliant, secure cloud environment.The measured processing times of the tested H100 GPUs in detail: the processing time ranged from 13 minutes for haplotypecaller H100 with 2 GPUs used to just under 90 minutes for Deepvariant H100 with 8 GPUs used, indicating that GPU overhead can slow down the processing time when the effective memory limit is reached“It’s not just about going faster,” Liepa adds. “It’s about enabling analysis at a national scale. The AI models are there—but without the right compute power, they’re just theory.”Advancing high-performance genomics in the Baltics and beyondBy leveraging Gcore’s Cloud GPUs, RTU HPC has established a model for scalable, cost-effective genomic research, and this is only the beginning. Now that the speed and flexibility has been proven on genomics processing, RTU HPC plan to broaden AI applications even further.Wider adoption of Cloud GPUs in genomics: RTU HPC is considering Cloud GPUs expansion for broader research applications.Future collaboration with Gcore: Optimization of GPU configurations will continue, and RTU HPC plans to explore AI Inference opportunities with Gcore Everywhere Inference for genomic workloads.Global implications: BMC’s work with the 1+ Million Genomes Project, an EU-wide initiative to make genomic information more accessible for diagnosis and treatment, contributes to international research efforts.The benchmark test results for H100 GPUs using 2, 4, or 8 GPUs: fq2bam and haplotypecaller achieved the shortest processing times on average and comparatively consistent results across 2, 4, and 8 GPUsPioneering AI-powered genomics with sovereign cloud infrastructure“This is the future of AI in healthcare: fast, flexible, sovereign,” says Liepa. “Gcore gave us the infrastructure to make it real—not just for today, but for what comes next.”As AI continues to transform life sciences, the ability to combine cutting-edge GPU performance, regional data compliance, and on-demand scalability is emerging as the key to competitive advantage—not just for companies, but for countries.“We’re proud to support Latvia’s vision for AI-powered genomics,” says Vsevolod Vayner, Product Director of Edge & AI Cloud at Gcore. “This project is a blueprint for how nations can lead in biotech innovation without giving up digital sovereignty.”Find out more about how Gcore Cloud GPUs can enhance your high-performance computing projects.Try Gcore Cloud GPUs
LetzAI rapidly scales AI-powered image generation for global users
Everywhere Inference reduces the latency of our output and enhances the performance of AI-enabled apps, allowing us to optimize our workflows for more accurate, real-time results.Misch Strotz, CEO and co-founder, LetzAIA futuristic tram journey, blending reality and imagination, created with LetzAI. Destination: To the MoonLaunched as a skunkworks project from within Neon Internet, LetzAI is quickly becoming a go-to platform for high-quality AI-generated images. With a mission to democratize and personalize AI-powered image generation, it has emerged as one of the most popular and high-quality options on the market. To support its rapid growth and scale seamlessly, LetzAI partnered with Gcore for advanced AI and cloud infrastructure.Global GPU shortages threaten to derail a new AI image generation ideaIn 2023, Neon Internet CEO and co-founder Misch Strotz was struck by a clever idea: give Luxembourg residents the power to easily generate local images using AI. Within a month, Luxembourg-focused LetzAI V1 went live.Encouraged by strong local demand, Strotz and his team began working on a global version of the platform. The vision? An opt-in AI platform empowering brands, creators, artists, and individuals to unlock endless creative possibilities by adding their own images, art styles, and products. “Other AI platforms scrape the internet, incorporating people and their content without permission. We wanted to put the choice and power in each person’s hands,” Strotz explains.Before long, the team began working on V2. In addition to generating higher quality and more personalized AI-generated images, V2 would drive consistency across objects, characters, and styles. After uploading their own photos and creating their own models, users can blend them with other models created by the community to create an endless number of unique images.However, LetzAI faced a significant hurdle in training and launching V2—a global GPU shortage. With limited resources to train its models, LetzAI needed a reliable partner to help evolve its AI-driven platform and keep it operating smoothly.Finding a trusted, Europe-based AI partnerIn the search for a fitting partner, Strotz spoke to major vendors including hyperscalers and various Europe-based providers. Meeting Gcore’s product leadership team made the decision clear. “It was amazing to meet executives who were so knowledgeable about technology and took us seriously,” recalls Strotz.Gcore’s approach to data security and sovereignty further solidified the decision. “We needed a trusted partner who shared our commitment to European data protection principles, which we incorporated into the development of our platform” he continues.Maximizing AI efficiency by training on local GPUsLetzAI opted for Gcore’s state-of-the-art NVIDIA H100 GPUs in Luxembourg. “This was the perfect option, allowing us to keep our model training and development local. With Gcore, we can rent GPUs rather than entire servers, making it a far more cost-effective solution by avoiding unnecessary costs like excess storage and idle server capacity,” Strotz explains. This approach provided flexibility, efficiency, and high performance, tailored specifically for AI workloads.LetzAI was able to adapt its app to run in containers, configure model training tasks to run on GPU Cloud, and use Everywhere Inference for image generation and upscaling. “Everywhere Inference reduces the latency of our output and enhances the performance of AI-enabled apps, allowing us to optimize our workflows for more accurate, real-time results,” Strotz says.In just two months, LetzAI V2 launched to serve users around the world. And Strotz and team were already developing its successor.Empowering creativity with scalable, high-performance AI infrastructureWith Gcore’s continued support, LetzAI quickly deployed V3. “The Gcore team was incredibly responsive to our needs, guiding us to the best solution for our evolving requirements. This has given us a powerful and efficient infrastructure that can flex according to demand,” says Strotz.Running V3 on Gcore means LetzAI users experience fast, reliable performance. Artists, individuals, and brands are already putting V3 to use in interesting ways. For example, in response to what LetzAI calls its ‘AI Challenges’, a Luxembourg restaurant chain prompted residents to create thousands of images using its model of a pizza.In another example, LetzAI teamed with digital agency LOOP to dress PUMA’s virtual influencer and avatar, Laila, in a Moroccan soccer jersey. According to Strotz, “PUMA had struggled to make clothing look realistic on Laila. When they saw our images, they said the result was 1,000 times better than anything they had tried.”That wasn’t the only brand intrigued by V3’s possibilities. After LetzAI posted V3-generated images of models wearing Sloggi underwear, Sloggi’s creative agency STAN Studios asked LetzAI to generate more images for market testing.Always looking for new ways to support creators, LetzAI also launched its Image Upscaler feature, which enhances images and doubles their resolution. “Our creators can now resolve common AI image issues around quality and resolution. Everywhere Inference is pivotal in delivering the power and speed needed for these dynamic image enhancements,” notes Strotz.Platform evolution and AI innovation without limitsAs its models exceed user expectations worldwide, LetzAI can rely on Gcore to handle a high volume of requests. Confident about generating a limitless number of high-quality images on the fly, LetzAI can continue to scale rapidly to become a sustainable, innovation-driven business.“As we further evolve—such as by adding video features to our platform—our partnership with Gcore will be central to LetzAI’s continued success,” Strotz concludes.
fan.at expands audience reach and boosts subscription revenue by 133%
By expanding our game coverage, we’ve seen a surge in new subscriptions, leading to a 133% increase in revenue within just one quarter, which is a great result. Raphael Hollenstein, Senior Software Engineer at fan.at fan.at is a sports broadcaster and streaming platform for football and handball sporting events. The company’s website and mobile app offer sports fans hundreds of live streams of men’s, women’s, and youth games, plus on-demand videos, personalized feeds, highlights, news, voting, live ticker, player statistics, and match results. Viewers can enjoy live streams and replays of games from major leagues and championships like the Bundesliga, Premier League, and Gold Cup. With video content from 50,000 games played by 15,000 teams per season, fan.at delivers high-volume broadcasts to an engaged and growing viewer base. Lacking scalability to support multi-stream delivery fan.at wanted to meet the growing demand for more game coverage, expanding beyond major national leagues to include smaller regional clubs and junior leagues. The company faced a significant challenge in adding these live streams. “Our previous streaming partner could not support our plans to scale, so we initially brought the technology in-house. This meant that we needed to establish a new streaming setup and supporting infrastructure under tight deadlines,” said Raphael Hollenstein, Senior Software Engineer at fan.at. While the company had automated cameras installed at football and handball venues to record games, it lacked the necessary infrastructure to efficiently ingest, transcode, and deliver multiple streams to its growing audience. This prompted the team to explore external solutions. “When we spoke to providers, many couldn’t offer the functionality we needed, like graphical overlays and sponsor inserts, while others were simply too expensive for managing multiple simultaneous streams. It wasn’t a scalable option,” explained Hollenstein. fan.at turned to Gcore for a solution that could support its current and future growth plans, attracted by features like free encoding, which significantly reduces costs. Gcore offered all the essential functionality, including simultaneous live streaming of multiple matches, video-on-demand (VOD), the ability to add sponsor inserts and overlays, and the option to create and edit video clips using the API. fan.at selected Gcore Video Streaming and CDN due to its high-quality, low-latency performance, scalability, and global reach—all of which were essential for supporting the broadcaster’s expansion plans and meeting the demands of additional streams and a larger audience. Delivering game-changing sports coverage to a global audience fan.at integrated Gcore Video Streaming and CDN into its existing workflow, enabling a smooth transition that strengthened its streaming capabilities without disruption. “The Gcore implementation was seamless, and the platform provides everything we need in one place, from live ingest to low-latency global delivery,” said Hollenstein. “It’s been a game-changer, allowing us to focus on scaling our content without the technical hurdles.” Using Gcore’s fast and flexible CDN, fan.at can deliver large, continuous data streams with minimal buffering and latency for an uninterrupted viewing experience. “With Gcore, we no longer have to worry about transcoding our media,” said Hollenstein. “Gcore’s solution automatically converts video files between formats so that our content is always delivered at the highest quality and accessible to all viewers, regardless of internet stability, bandwidth, resolution, or screen size.” With the right technology foundations in place, fan.at could install over 130 additional cameras at sports venues, successfully expanding coverage of smaller regional club games. The efficient management of these additional streams by Gcore made the expansion process simple and hassle-free for the team. Meeting customer demand for these games unlocked new financial opportunities for the broadcaster. “By expanding our game coverage, we’ve seen a surge in new subscriptions, leading to a 133% increase in revenue within just one quarter, which is a great result,” Hollenstein notes. Elevating live sports viewing experience and fan engagement Fast clip creation is crucial for enriching the game experience and broadening audience reach on social media. “We use the API to create instant highlight videos from live streams, which is exactly what we needed,” said Hollenstein. “We can produce clips almost instantaneously, which is crucial when managing up to 300 cameras during peak weekends.” The ability to create short videos for social media has also helped to grow brand awareness and interaction. “Within four months of implementing Gcore, social media engagement with video content rose by 43%, and video views on Instagram increased by 64%,” added Hollenstein. Gcore enables fan.at to create customizable graphical overlays, superimposing information like scores, player stats, and logos directly onto the footage. This feature offers fans additional context that complements the on-field action and improves the viewing experience. The broadcaster can also insert HTML overlays like sponsor banners, alerts, and a time clock into live streams, enhancing visual appeal and engagement. Streamlining broadcast operations and reducing streaming costs fan.at streamlined operations and reduced costs by consolidating its streaming infrastructure with Gcore’s integrated transcoding and VOD storage solutions, eliminating the need for multiple providers. We’ve seen a 13% reduction in VOD storage costs and an 85% decrease in transcoding expenses compared to our previous providers. Raphael Hollenstein, Senior Software Engineer at fan.at Additionally, Gcore’s automated video streaming and production workflows saved the engineering team 500 working hours over four months, further enhancing operational efficiency. Continued innovation to grow and engage a diverse audience By partnering with Gcore, fan.at has successfully expanded its broadcast capabilities beyond major leagues to include coverage of football games from smaller clubs, reaching a wider audience. The collaboration enabled the broadcaster to meet growing demand, optimize streaming performance, and enhance viewer engagement. Looking ahead, fan.at plans to rely on Gcore to add live commentary, innovate further with video editing, and explore new interactive features to continue delivering high-quality entertainment to an ever-growing audience.
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