Akamai's Cloud GPU service offers on-demand access to NVIDIA GPUs, enabling businesses to accelerate AI training, inference, high-performance computing (HPC), rendering, and media workloads. With predictable pricing, low egress costs, and rapid provisioning, Akamai provides a scalable and cost-effective solution for compute-intensive tasks. Key Features and Functionality: - Dedicated GPU Performance: Ensures consistent throughput for AI and HPC workloads by allocating dedicated GPU resources. - Low, Predictable Egress Costs: Offers egress pricing as low as $0.005 per GB in most regions, resulting in up to 90% savings compared to typical hyperscalers. - On-Demand Billing: Provides flexible billing with no long-term contracts, allowing easy scaling up or down based on workload requirements. - Proximity Deployment: Deploys workloads close to users and data sources to reduce latency and enhance real-time experiences. - Diverse GPU Options: - NVIDIA RTX PRO 6000 Blackwell Server Edition: Equipped with 96 GB GDDR7 memory, designed for high-throughput inference and agentic AI applications. - NVIDIA RTX 4000 Ada Generation: Balances price and performance for machine learning inference, analytics, and media processing, featuring built-in media engines supporting AV1 encoding and decoding. - NVIDIA Quadro RTX 6000: With 6,144 CUDA cores and dual encode/decode engines, it's ideal for transcoding, rendering, and visualization tasks. - Comprehensive Platform Capabilities: - Compute and Orchestration: Offers dedicated GPU virtual machines and integration with Akamai Kubernetes Engine (LKE) for scalable deployments. - Storage and Data Management: Provides block and object storage solutions with automated backups and snapshots. - Networking and Security: Includes private networking, load balancing, and cloud firewall features to secure and optimize data flow. - Developer Tools and Support: Supports provisioning via user interface, API, CLI, and Terraform, with full documentation and 24/7/365 support. Primary Value and User Solutions: Akamai's Cloud GPU service addresses the need for high-performance, scalable, and cost-effective GPU resources. By offering dedicated GPU instances with low egress costs and flexible billing, it enables businesses to efficiently handle compute-intensive workloads such as AI model training, real-time inference, HPC simulations, and media processing. The proximity of deployment reduces latency, enhancing the performance of real-time applications and interactive experiences. Additionally, the diverse GPU options and comprehensive platform capabilities provide tailored solutions to meet various computational requirements, ensuring optimal performance and cost efficiency.