Akamai Acquires NVIDIA GPUs to Enhance Cloud Infrastructure
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Mar 03 2026
0mins
Source: seekingalpha
- 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.
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Analyst Views on AKAM
Wall Street analysts forecast AKAM stock price to fall
11 Analyst Rating
6 Buy
5 Hold
0 Sell
Moderate Buy
Current: 160.320
Low
89.00
Averages
103.73
High
115.00
Current: 160.320
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 specializes in serverless WebAssembly function-as-a-service (FaaS) technology.
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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- Multilayered Cybersecurity: The collaboration combines GM Sectec's tokenization technology with Akamai's security offerings to deliver a multilayered cybersecurity solution that helps organizations secure AI-driven workflows, reduce compliance risks, and improve resilience against cyber threats.
- Governance of Non-Human Identities: The partnership will focus on governing non-human identities to audit machine access, while Akamai API Security will be deployed to identify and monitor APIs, further enhancing system security measures.
- 24/7 Monitoring Services: GM Sectec will provide 24/7 managed detection and incident response services through its global incident response centers, ensuring comprehensive security coverage across North America, Latin America, and Europe, thereby strengthening client security capabilities.
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- Partnership Announcement: Akamai has partnered with GM Sectec, a global leader in PCI-led managed security services, to assist enterprises in simplifying their transition to PCI DSS v4.0.1 compliance, thereby enhancing their defenses against cybersecurity threats.
- Governance of Digital Workforce: As organizations increasingly adopt autonomous AI agents for business workflows, GM Sectec's Non-Human Identity governance ensures that machine access is audited with the same strict controls as human employees, thereby improving compliance and security.
- API Security Measures: Akamai's API Security solution is employed to continuously discover and monitor API behavior, effectively addressing the surge in multistep workflows and hidden API calls driven by AI agents, thus reducing the risk of security vulnerabilities.
- Global Incident Response: GM Sectec's global 24/7 Critical Incident Response Centers provide continuous managed detection and response services, and combined with Akamai's Zero Trust microsegmentation technology, significantly enhances ransomware protection, ensuring rapid recovery for enterprises.
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- Collaboration Purpose: The partnership between Akamai and Nvidia aims to implement a 'Zero Trust' cybersecurity policy in the hardware and software of AI data centers, enhancing protection against AI-driven threats by intelligently controlling how AI workloads communicate, thereby safeguarding enterprise data.
- Security Integration: This collaboration will integrate Akamai's Guardicore Segmentation solution with Nvidia's Vera BlueField-4 STX storage architecture, ensuring that data center operators can monitor threats without throttling GPU and CPU performance, thus improving overall security capabilities.
- Market Reaction: Following the announcement of the partnership, Akamai's stock rose nearly 5% while Nvidia's stock increased by nearly 1%, indicating a positive market response to the collaboration aimed at securing AI infrastructure, reflecting investor optimism about future growth prospects.
- Industry Context: As AI factories become critical assets, the collaboration between Akamai and Nvidia comes at a time of rapid expansion in the global AI ecosystem, aiming to address the increasing speed and scale of cyber threats, ensuring that enterprises remain competitive in a fast-evolving technological landscape.
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- Security Architecture Upgrade: Akamai's collaboration with NVIDIA expands their security architecture by integrating Guardicore segmentation into the NVIDIA Vera BlueField-4 STX storage architecture, aiming to introduce Zero Trust architecture into AI factories, thereby enhancing data protection and autonomous agent security for enterprises.
- Workload-Aware Segmentation: The new system enables AI factory operators to implement workload-aware segmentation, monitor agent behavior in real-time, and contain threats at the infrastructure layer without taxing GPU and CPU performance, significantly improving overall operational efficiency.
- Intelligent Policy Enforcement: Akamai Guardicore continuously maps interactions between workloads, applications, and data to define security policies based on workload identity and runtime behavior, ensuring effective protection of sensitive data in hybrid environments and reducing potential risks.
- Market Outlook: The integration of Akamai Guardicore with NVIDIA BlueField and DOCA is expected to be available in the second half of 2026, marking a significant advancement in AI factory security and addressing the urgent security needs of the rapidly evolving AI market.
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- IPO Market Revival: Cerebras Systems has successfully debuted, and SpaceX is poised to become the largest IPO, although with only about 100 companies going public compared to over 450 in 1999, indicating a cautious market sentiment.
- Performance Comparison: In 1999, over 450 companies went public with Akamai Technologies seeing a staggering 524% first-day gain, while Figma and Circle Internet had first-day gains of 250% and 168% respectively, but current performances are more muted, reflecting a shift in market sentiment.
- Investment Strategy Recommendation: Analysts suggest that investors utilize ETFs like the Vanguard S&P 500 ETF to mitigate emotional decision-making by consistently investing, thus avoiding impulsive actions during market fluctuations.
- Long-Term Return Potential: The Vanguard S&P 500 ETF has achieved an average annual return of approximately 15.5% over the past decade, and while it may not be as thrilling as investing in soaring AI stocks or hot IPOs, a long-term dollar-cost averaging strategy is considered a sound approach for wealth accumulation.
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- IPO Market Revival: The successful debut of Cerebras Systems has generated significant buzz, while SpaceX is poised to become the largest IPO in history, indicating strong investor interest in emerging tech companies, despite overall IPO numbers being lower than in 1999.
- Investment Strategy Recommendation: Analysts recommend that investors adopt a dollar-cost averaging strategy, particularly through the Vanguard S&P 500 ETF, which helps maintain stability during market fluctuations and removes emotional decision-making.
- Poor Individual Stock Performance: According to a JP Morgan study, about two-thirds of individual stocks have underperformed the Russell 3000 index since 1980, highlighting the challenges individual stocks face in recovering during market volatility and underscoring the advantages of index funds.
- Long-Term Return Potential: The Vanguard S&P 500 ETF has achieved an average annual return of approximately 15.5% over the past decade, and while it may not be as exciting as investing in soaring AI stocks, consistent dollar-cost averaging is considered a smart move in any market environment for wealth accumulation.
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