Akamai Signs $200M Agreement with Major U.S. Tech Company
Written by Emily J. Thompson, Senior Investment Analyst
Updated: 5 days ago
0mins
Should l Buy AKAM?
Akamai Technologies (AKAM) has provided additional detail on the recent four-year, $200M service agreement it signed with a major U.S. tech company at the forefront of the AI revolution for high-performance AI compute. Under the terms of the deal, the customer will utilize a multi-thousand NVIDIA (NVDA) Blackwell GPU cluster hosted in a data center designed for efficient, high-density power capacity, as well as other cloud infrastructure services on Akamai's distributed cloud platform. The deal underscores enterprise demand for Akamai's integrated AI development and deployment platform and represents one of the world's largest NVIDIA Blackwell RTX PRO 6000 Server Edition clusters at scale. The GPU cluster is powered by an AI-optimized Ethernet networking platform, enabling non-blocking, lossless, and high-performance connectivity for large-scale AI factories and GPU-accelerated computing. Additionally, it leverages a high-performance, parallel file storage platform for linear scalability in AI and HPC workloads with NVMe-over-Fabric. The announcement follows several moves Akamai has made to expand its AI inference and generalized compute capabilities, including a rapid expansion of its global IaaS footprint to 41 datacenters leveraging its relationships with many data center partners to enable this growth, and the expansion of its Managed Container Service, which provides a managed service to scale out applications across Akamai's distributed infrastructure.
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Analyst Views on AKAM
Wall Street analysts forecast AKAM stock price to rise
11 Analyst Rating
6 Buy
5 Hold
0 Sell
Moderate Buy
Current: 102.110
Low
89.00
Averages
103.73
High
115.00
Current: 102.110
Low
89.00
Averages
103.73
High
115.00
About AKAM
Akamai Technologies, Inc. is a cybersecurity and cloud computing company. The Company develops and provides solutions for global enterprises to build, secure and accelerate their applications and digital experiences. Akamai Connected Cloud, the Company's platform, is comprised of an edge and cloud architecture and underlying network for cloud computing, security and content delivery services. Its cloud computing services include compute, storage, networking, database and container management services that are required to build, deploy and secure applications and workloads. Its security solutions are designed to keep infrastructure, websites, applications, application programming interfaces and users safe from a multitude of cyberattacks and online threats while improving performance. Its content delivery solutions consist of Web and mobile performance focused solutions and media delivery solutions. It also provides services and support for its customers as they utilize its solutions.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
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- Latency Reduction: The new architecture supports rapid inference by reducing latency and data egress issues associated with centralized data centers, addressing the primary barrier faced by 56% of organizations in AI deployment, thereby enhancing the company's competitive position in the inference era.
- Localized Optimization: Akamai's GPU clusters enable on-site optimization of large language models, ensuring data privacy and regional compliance, which further enhances the company's flexibility and adaptability in AI applications.
- Cost Savings: Compared to traditional hyperscaler infrastructure, Akamai's AI inference platform can reduce latency by up to 2.5 times, helping businesses save as much as 86% on AI inference costs, significantly improving return on investment.
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- Evidence Support: Judge Maxine Chesney noted that Amazon provided 'strong evidence' of unauthorized access by Perplexity, with the company spending over $5,000 to respond, highlighting its commitment to customer data security.
- Security Risk Warning: Amazon's lawsuit indicated that Perplexity's AI agents pose security risks to customer data as they can operate within protected systems requiring passwords, potentially diminishing customer trust and affecting Amazon's user base.
- Advertising Business Challenges: Amazon stated that Perplexity's agents create challenges for its advertising business, necessitating the development of new mechanisms to identify and exclude automated traffic, ensuring advertisers only pay for genuine user impressions, which could increase operational costs and impact profitability.
See More
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- Customer Response: An Amazon spokesperson expressed regret for the issues customers faced while shopping and appreciated their patience, highlighting the company's commitment to customer service.
- Fresh Service Issues: Users also reported difficulties placing orders and viewing purchase history with Amazon Fresh, exacerbating customer dissatisfaction and potentially impacting sales.
- Cloud Service Stability: Despite the website issues, Amazon stated that its cloud computing services were functioning normally, indicating the company's resilience and stability in managing technical challenges.
See More
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- Service Agreement Details: Akamai Technologies has signed a four-year, $200 million service agreement with a major U.S. tech company, which will utilize a multi-thousand NVIDIA Blackwell GPU cluster, highlighting strong enterprise demand for high-performance AI compute.
- Technical Infrastructure: The GPU cluster will be hosted in a data center designed for efficient, high-density power capacity, combined with an AI-optimized Ethernet networking platform that ensures efficient connectivity for large-scale AI factories and GPU-accelerated computing, enhancing overall computational performance.
- Global Infrastructure Expansion: Akamai has rapidly expanded its global IaaS footprint to 41 data centers, leveraging relationships with multiple data center partners to drive growth, further enhancing its AI inference and generalized compute capabilities to meet market demand.
- Strategic Investment Significance: Akamai COO Adam Karon stated that this $200 million commitment validates their strategy to build a global platform for the entire AI lifecycle, aiming to provide a reliable foundation for customer AI workloads and enhance enterprise competitiveness in the AI sector.
See More
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- Surge in Oil Prices: WTI crude oil prices rose over 4% to an 8.5-month high due to threats from Iran to close the Strait of Hormuz, intensifying fears of energy supply disruptions and potential inflationary pressures in the economy.
- Natural Gas Price Spike: European natural gas prices surged more than 22% to a three-year high after Qatar's Ras Laffan plant was targeted by an Iranian drone attack, posing significant risks to global liquefied natural gas supply and market stability.
- Economic Data Expectations: This week, the ADP employment change is expected to increase by 50,000, while the ISM services index is projected to slip slightly, with markets closely monitoring these indicators to assess economic health and potential implications for Federal Reserve monetary policy decisions.
See More
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- Acquisition of NVIDIA GPUs: Akamai has purchased thousands of NVIDIA Blackwell GPUs to enhance its global distributed cloud infrastructure, aiming to improve capabilities in AI R&D, fine-tuning, and post-training optimization, thereby increasing overall computational efficiency.
- Unified Platform Development: This deployment creates a unified platform that intelligently routes AI inference workloads to optimized compute resources, significantly reducing latency and data egress issues, which enhances user experience.
- AI Inference Cloud Strategy: Akamai's recent launch of the AI Inference Cloud redefines how AI is utilized by bringing it closer to users and devices, with projections indicating a 45%-50% revenue growth in CIS for 2026.
- Optimistic Market Outlook: With the momentum of the AI Inference Cloud accelerating, Akamai is positioned favorably in future market competition, further solidifying its leadership in the AI and cloud computing sectors.
See More
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- Acquisition of NVIDIA GPUs: Akamai has announced the acquisition of thousands of NVIDIA Blackwell GPUs to enhance its global distributed cloud infrastructure, aiming to create a unified platform for AI R&D that improves the efficiency of AI inference workloads.
- Latency Reduction: The new architecture supports rapid inference by reducing latency and data egress issues associated with centralized data centers, addressing the primary barrier faced by 56% of organizations in AI deployment, thereby enhancing the company's competitive position in the inference era.
- Localized Optimization: Akamai's GPU clusters enable on-site optimization of large language models, ensuring data privacy and regional compliance, which further enhances the company's flexibility and adaptability in AI applications.
- Cost Savings: Compared to traditional hyperscaler infrastructure, Akamai's AI inference platform can reduce latency by up to 2.5 times, helping businesses save as much as 86% on AI inference costs, significantly improving return on investment.
See More
