We can't wait to see you at NVIDIA GTC! Whether you’re looking to get faster time to insights with an optimized environment or just getting started with exploring infrastructure built for AI workloads, book a meeting at the show with DDN experts who will help you get there. https://bit.ly/4bLib5A Let's meet at the show to talk about: 💡 Faster results for generative AI, LLMs and big data projects 💡 How to get 10X GPU acceleration with optimized I/O 💡 Scalable solutions to simplify the largest data environments 💡 Solutions for accelerated computing built by DDN, tightly integrated with NVIDIA #GTC24 #GPU #DGX
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Run:ai is revolutionising AI infrastructure management with GPU pooling and fractioning! Key benefits include: - maximising GPU utilisation across your entire cluster, dynamically allocating fractional GPU resources to match workload needs, and improving cost-efficiency by accelerating AI/ML projects. The Run:ai platform allows teams to: - Pool GPU resources from multiple servers into a shared cluster, automatically schedule and prioritise workloads, and fraction GPUs to right-size compute for each job. The benefits? Faster time-to-insight, optimised resource usage, and significant cost savings. For more information, contact the team at OCF - info@ocf.co.uk #AI #GPU #ML #infrastructure - Maya Gordon, Erkut Dinctop, Ryan Ben-Yehuda
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Excited about our new collaboration with #NVIDIA to deploy F5 BIG-IP Next for Kubernetes on BlueField-3 DPUs, improving data movement for large-scale AI infrastructure and AI factories. Now, organizations pushing the boundaries with #AI can achieve high-volume Kubernetes ingress speeds, performance, and throughput by offloading network and security functions to NVIDIA's BlueField-3 data processing unit, freeing up valuable CPU cycles. Read more and explore the solution in-depth here: http://ms.spr.ly/6044Wy8kM #AI
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Sales Vice President | Business Leader | Team Builder | Coach & Mentor | International Public Speaker
We are thrilled to announce our new collaboration with #NVIDIA to deploy F5 BIG-IP Next for Kubernetes on BlueField-3 DPUs, improving data movement for large-scale AI infrastructure and AI factories. Now, organizations pushing the boundaries with #AI can achieve high-volume Kubernetes ingress speeds, performance, and throughput by offloading network and security functions to NVIDIA's BlueField-3 data processing unit, freeing up valuable CPU cycles. Read more and explore the solution in-depth here: http://ms.spr.ly/6040WHzor #AI
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We are thrilled to announce our new collaboration with #NVIDIA to deploy F5 BIG-IP Next for Kubernetes on BlueField-3 DPUs, improving data movement for large-scale AI infrastructure and AI factories. Now, organizations pushing the boundaries with #AI can achieve high-volume Kubernetes ingress speeds, performance, and throughput by offloading network and security functions to NVIDIA's BlueField-3 data processing unit, freeing up valuable CPU cycles. Read more and explore the solution in-depth here: http://ms.spr.ly/6040WHu0E #AI
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We are thrilled to announce our new collaboration with #NVIDIA to deploy F5 BIG-IP Next for Kubernetes on BlueField-3 DPUs, improving data movement for large-scale AI infrastructure and AI factories. Now, organizations pushing the boundaries with #AI can achieve high-volume Kubernetes ingress speeds, performance, and throughput by offloading network and security functions to NVIDIA's BlueField-3 data processing unit, freeing up valuable CPU cycles. Read more and explore the solution in-depth here: http://ms.spr.ly/6041WHT7x #AI
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We are thrilled to announce our new collaboration with #NVIDIA to deploy F5 BIG-IP Next for Kubernetes on BlueField-3 DPUs, improving data movement for large-scale AI infrastructure and AI factories. Now, organizations pushing the boundaries with #AI can achieve high-volume Kubernetes ingress speeds, performance, and throughput by offloading network and security functions to NVIDIA's BlueField-3 data processing unit, freeing up valuable CPU cycles. Read more and explore the solution in-depth here: http://ms.spr.ly/6042WyELa #AI
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We are thrilled to announce our new collaboration with #NVIDIA to deploy F5 BIG-IP Next for Kubernetes on BlueField-3 DPUs, improving data movement for large-scale AI infrastructure and AI factories. Now, organizations pushing the boundaries with #AI can achieve high-volume Kubernetes ingress speeds, performance, and throughput by offloading network and security functions to NVIDIA's BlueField-3 data processing unit, freeing up valuable CPU cycles. Read more and explore the solution in-depth here: http://ms.spr.ly/6044Wy8Mw #AI
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We are thrilled to announce our new collaboration with #NVIDIA to deploy F5 BIG-IP Next for Kubernetes on BlueField-3 DPUs, improving data movement for large-scale AI infrastructure and AI factories. Now, organizations pushing the boundaries with #AI can achieve high-volume Kubernetes ingress speeds, performance, and throughput by offloading network and security functions to NVIDIA's BlueField-3 data processing unit, freeing up valuable CPU cycles. Read more and explore the solution in-depth here: http://ms.spr.ly/6048WywVQ #AI
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We are thrilled to announce our new collaboration with #NVIDIA to deploy F5 BIG-IP Next for Kubernetes on BlueField-3 DPUs, improving data movement for large-scale AI infrastructure and AI factories. Now, organizations pushing the boundaries with #AI can achieve high-volume Kubernetes ingress speeds, performance, and throughput by offloading network and security functions to NVIDIA's BlueField-3 data processing unit, freeing up valuable CPU cycles. Read more and explore the solution in-depth here: http://ms.spr.ly/6047WHC0P #AI
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We are thrilled to announce our new collaboration with #NVIDIA to deploy F5 BIG-IP Next for Kubernetes on BlueField-3 DPUs, improving data movement for large-scale AI infrastructure and AI factories. Now, organizations pushing the boundaries with #AI can achieve high-volume Kubernetes ingress speeds, performance, and throughput by offloading network and security functions to NVIDIA's BlueField-3 data processing unit, freeing up valuable CPU cycles. Read more and explore the solution in-depth here: http://ms.spr.ly/6047Wyry9 #AI
