Intern Software Engineer

Akamai launches AI inference service and agent execution environment. Akamai Inference and Akamai Agent Sandbox extend Akamai Cloud's ability to serve, run, and secure AI applications and agents from core to edge. CAMBRIDGE, Mass., Oct. 27, 2026 (GLOBE NEWSWIRE) - Bringing managed model serving and isolated execution for AI agents to Akamai Cloud, Akamai (Nasdaq: AKAM) today introduced two foundational products for its AI stack: Akamai Inference and Akamai Agent Sandbox. With these additions, enterprises can build and tune their own or hosted open-weight models, ground them in their own data, run agents inside enforced boundaries, and secure the applications, agents, and infrastructure involved, all on one cloud platform with AI-optimized infrastructure. "Some teams want to ship an AI feature this quarter on a managed platform. Others need dedicated GPUs to run frontier-class open models on their own terms..." "We have been implementing an AI infrastructure strategy based on the notion that AI inference will represent the majority of enterprise focus and investment..." "They want to build, run, and protect AI on the same platform. Akamai Inference and Akamai Agent Sandbox add the inference and execution layers that turn our..." "Enterprises should not have to choose between speed and control when they put AI into production," These capabilities mark the latest step in Akamai's AI strategy: giving enterprises the trusted global infrastructure and services required to serve, run, and secure AI applications and agents, close to the users and data they depend on. Akamai Inference and Akamai Agent Sandbox now add managed services on top of that infrastructure - a foundation that has already secured multiyear contracts for Akamai Cloud collectively worth more than $14 billion. The momentum highlights how Akamai's ability to leverage both CPUs and GPUs - together with cloud storage, networking, and edge functions on its interconnected global network fabric - is quickly becoming the trusted foundation for customers to build, deploy, and operate AI workloads at scale. Enterprises moving AI into production need far more than models. They need serving infrastructure, access to their data, routing and governance, and, as agents begin to write and execute their own code, a hard boundary around what that code can reach. Most teams assemble those pieces from separate providers and secure the interaction points themselves. Akamai Cloud now delivers a connected AI environment, placed across a continuum of compute that runs from dense GPU and CPU clusters in core regions to more than 4,350 edge locations, and protected by the same security portfolio that defends many of the world's largest online businesses. "We have been implementing an AI infrastructure strategy based on the notion that AI inference will represent the majority of enterprise focus and investment. Our customers proved that thesis and pulled us further," said Adam Karon, Chief Operating Officer and GM of Akamai Cloud. "They want to build, run, and protect AI on the same platform. Akamai Inference and Akamai Agent Sandbox add the inference and execution layers that turn our AI infrastructure into a full AI stack, and our security portfolio protects every layer of it. Akamai is uniquely positioned to bring our scale and distribution to address scaling real-time inference and agentic workloads." Access models without operating the stack: Akamai Inference Akamai Inference gives enterprises managed access to open-weight and custom models through OpenAI-compatible APIs, so existing applications move without rewrites. Customers choose serverless, pay-per-use inference or dedicated deployments. At launch, the catalog includes 12 open-weight models ranging from 8 billion to 2.8 trillion parameters, including NVIDIA(TM) Nemotron 3 Ultra, OpenAI(TM) gpt-oss-120b, and Google(TM) Gemma 4, along with embedding models for retrieval-augmented generation. Akamai Cloud provides access to managed databases and object storage, and seamlessly connects to private and public cloud platforms, so models can draw on enterprise data. Akamai Inference then handles the orchestration, model execution, and authentication. Requests run on the Akamai global network, which reduces latency, and helps to ensure high availability and consistent performance while maintaining predictable service levels. Give agents a place to execute: Akamai Agent Sandbox AI agents are increasingly doing real work, from taking actions on a user's behalf to writing and running their own code. Akamai Agent Sandbox gives developers a secure place to run both. Agents run on Akamai Functions, and the code they write runs in its own isolated environment, sequestered from the agent's runtime. Delivered as an open source component of the Spin framework, Akamai Agent Sandbox uses WebAssembly isolation to set clear limits on compute, memory outbound connections, and system capabilities. Developers can deploy agents with confidence about where they run and what they can reach. Agent isolation is converging on several models, from microVMs with snapshot and fork capability, to policy-enforced containers, to WebAssembly-isolated functions. Akamai allows developers to choose the architecture that fits their workload, with NVIDIA-accelerated and dedicated CPU infrastructure, managed Kubernetes, and Akamai Functions for serverless execution across edge and core. Akamai also plans to add capabilities that govern what agents can reach and what can reach them. Build and tune on a broader GPU fleet: NVIDIA Blackwell Ultra today, Vera Rubin next Akamai also expanded its dedicated GPU fleet to include NVIDIA Blackwell Ultra GPU clusters and is preparing its infrastructure to support the NVIDIA Vera Rubin platform next year. Akamai's GPU fleet now spans NVIDIA RTX PRO(TM) 6000 Blackwell Server Edition(R) GPUs for low-latency inference and NVIDIA Blackwell Ultra GPU clusters for enterprises that want to build, tune, and self-host models on infrastructure they control. Akamai is also preparing its data centers to support the NVIDIA Vera Rubin platform in 2027. Each eight-GPU Blackwell Ultra node carries 288 GB of HBM3e memory per GPU, 2.3 TB in total, enough to hold frontier-class models. The Blackwell Ultra architecture targets the workloads driving that memory demand: test-time scaling, chain-of-thought reasoning, and long-context agentic work. GPU clusters give enterprises control over model versions and deprecation timelines, and run without rate limits or shared-tenancy queueing. They connect to the same data, networking, and security services as the rest of Akamai Cloud. "Enterprises should not have to choose between speed and control when they put AI into production," said Jon Alexander, Senior Vice President of Cloud Technology at Akamai. "Some teams want to ship an AI feature this quarter on a managed platform. Others need dedicated GPUs to run frontier-class open models on their own terms. Every team running agents needs a boundary around the code those agents write. Akamai Cloud now supports all of them on one platform, with security and resilience built in." Availability Akamai Agent Sandbox (via Spin SDK) and Akamai Inference are available in beta. Akamai Inference beta includes serverless deployment options. Contact Akamai Sales for NVIDIA B300 GPU clusters availability. About Akamai Akamai is the cloud company that powers and protects an AI-driven world. Our cloud platform extends high-performance cloud computing from the core to the edge, enabling organizations to build and scale next-generation AI applications and providing comprehensive, multilayered security to safeguard enterprises against evolving cyberthreats. Learn more at akamai.com and akamai.com/blog, or follow Akamai Technologies on X and LinkedIn. Akamai Statement Under the Private Securities Litigation Reform Act This press release contains statements that are not statements of historical fact and constitute forward-looking statements for purposes of the safe harbor provisions under The Private Securities Litigation Reform Act of 1995, including, but not limited to, statements about Akamai Inference Cloud, its anticipated capabilities, scalability, performance, global deployment plans and the expected benefits to Akamai, current and prospective customers and end users. Each of the forward-looking statements is subject to change as a result of various important factors, many of which are beyond Akamai's control, including, but not limited to: Akamai's inability to achieve the expected performance or benefits of Akamai Inference Cloud; Akamai's capabilities failing to meet expectations, including due to defects, security breaches, delays in performance, challenges in leveraging NVIDIA's technologies, or other similar problems; effects of competition, including pricing pressure and changing business models; changes in customer or user preferences or demands; macroeconomic trends and uncertainties, including industry volatility, the effects of inflation, fluctuating interest and foreign currency exchange rates, supply chain and logistics costs, constraints, changes or disruptions; defects or disruptions in Akamai's or NVIDIA's products or IT systems, including cyber-attacks, data breaches or malware; changes to economic, political and regulatory conditions in the United States or internationally; and other factors that are discussed in Akamai's most recent annual report on Form 10-K, subsequent quarterly reports on Form 10-Q and other documents filed with the Securities and Exchange Commission. The forward-looking statements contained herein are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, Akamai disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

SilverEdge cooperative. What to expect from Akamai Technologies' Q3 2026 earnings report. Neha Panjwani Barchart 1 hour ago Akamai Technologies, Inc. (AKAM), headquartered in Cambridge, Massachusetts, provides security, delivery, and cloud computing solutions. Valued at $14.2 billion by market cap, the company provides services for accelerating and improving the delivery of content and applications over the internet, ranging from live and on-demand streaming video capabilities to conventional content on websites, to tools that help people transact business and reach out to new and existing customers. The cybersecurity and cloud computing company is expected to announce its fiscal third-quarter earnings for 2026 after the market closes on Thursday, Nov. 5. Ahead of the event, analysts expect Akamai Technologies to report a profit of $0.92 per share on a diluted basis, down 13.2% from $1.06 per share in the year-ago quarter. The company beat the consensus estimates in two of the last four quarters while missing the forecast on two other occasions. For the full year, analysts expect Akamai Technologies to report EPS of $3.58, down 18.8% from $4.41 in fiscal 2025. Its EPS is expected to fall 1.1% year over year to $3.54 in fiscal 2027. AKAM stock has outperformed the S&P 500 Index's ($SPX) 13% gains over the past 52 weeks, with shares up 30.8% during this period. Similarly, it outperformed the State Street Technology Select Sector SPDR ETF's (XLK) 26% gains over the same time frame. AKAM's outperformance is driven by its emergence as a major player in enterprise AI infrastructure, headlined by a landmark $11.6 billion multi-year cloud agreement with Anthropic. This momentum is supported by robust hardware supply chain deals with Lenovo Group Limited (LNVGY) and Jabil Inc. (JBL) to secure custom server capacity, alongside strong ongoing demand in cloud computing and cybersecurity, highlighted by high-profile customer wins like CrowdStrike Holdings, Inc. (CRWD) and a separate $600 million U.S. tech contract. Analysts' consensus opinion on AKAM stock is reasonably bullish, with a "Moderate Buy" rating overall. Out of 21 analysts covering the stock, 13 advise a "Strong Buy" rating, seven give a "Hold," and one recommends a "Strong Sell." AKAM's average analyst price target is $155.55, indicating a notable potential upside of 56.4% from the current levels. On the date of publication, Neha Panjwani did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. For more information please view the Barchart Disclosure Policy here.

Nvidia wants to control AI agents, and returns $150 billion to shareholders. 21 October 2026 00:05 AMD buys World Labs for $8.2 billion | Anthropic reserves $11.6 billion in Akamai's cloud. Nvidia launched a platform to increase the security of artificial intelligence agents. The system allows defining limits on what these programs can do and monitoring their behavior. The platform includes OpenShell, which controls the agents' capabilities, and Sentry, which monitors their activity. Nvidia says these tools could have prevented the recent incident with OpenAI agents at Hugging Face. Part of the software is open source. The company is working with Microsoft, Cisco, Oracle, and Anthropic to integrate the technology. Nvidia also announced a plan to buy back up to $150 billion in shares - the largest ever announced by an American company. AMD buys World Labs for 8.2 billion AMD will buy World Labs, the artificial intelligence company founded by Fei-Fei Li, for $8.2 billion. The deal will be paid in shares and should be completed by the end of this year. World Labs develops models capable of understanding and creating representations of the physical world. The technology can generate 3D environments from text, images, or video - and has applications in robotics. Fei-Fei Li will join AMD as executive vice president and chief scientist. The World Labs team will continue to develop the models. The point is strategic. AMD is not just buying software. It is buying a way for artificial intelligence to perceive real space, precisely where the next wave of robots and simulations will be decided. Anthropic reserves $11.6 billion in Akamai's cloud Anthropic will spend $11.6 billion on Akamai cloud services over seven years and, to guarantee the necessary capacity, Akamai expects to invest about $5.5 billion to upgrade its data centers. The agreement increases the computing capacity available for the company's artificial intelligence systems. The contract is mainly linked to the use of CPUs, which are increasingly important for tasks performed by AI agents. The partnership could grow by another $9 billion and reach about $20 billion. As part of the agreement, Anthropic may receive a stake of up to 5% in Akamai. Subscribe to the Supertoast.ai podcast, 100% generated by artificial intelligence Follow Manuel Génio's daily life on Instagram: Manuel Génio | https://www.instagram.com/manuel_genio/ Topics. Tell Google that SAPO is one of your preferred sources of information. So, in your Google searches, you find SAPO content. Learn more