Akamai Welcomes SoftServe to Partner Connect Program
Key Highlights
- ➤SoftServe joins Akamai Partner Connect to support multicloud optimization and edge AI deployments
- ➤SoftServe offers custom-built LLMs and SLMs optimized for distributed infrastructure and GPU networks
- ➤Collaboration provides AI consulting, digital modernization, and specialized managed services
- ➤Services target high-tech, healthcare, financial services, industrial, and manufacturing customers
Expert Statements
Olga Salaichuk, Vice President of Technology at SoftServe
“By partnering with Akamai, we’re handling the complex back-end tasks for our clients. We want to clear the path so teams can focus on building the next big thing, confident that their AI and cloud strategies are supported by the most distributed platform in the world.”
Parimal Pandya, Senior Vice President, Global Cloud Sales, Akamai
“When we combine their AI expertise with Akamai’s global scale, we’re helping to build a foundation for our customers’ biggest projects.”
* SoftServe joins Akamai Partner Connect to help enterprises optimize multicloud environments, lower infrastructure costs, and accelerate edge AI deployments. * Delivers custom-built language models (LLMs/SLMs), cloud strategy support, and AI inferencing optimized for distributed GPU networks. * Provides specialized managed services and AI consulting for high-tech, healthcare, financial, and manufacturing sectors. CAMBRIDGE, Mass., Sept. 29, 2026 (GLOBE NEWSWIRE) -- Akamai (NASDAQ: AKAM) today announced SoftServe, an AI and technology services company with expertise in data and cloud solutions, has joined the Akamai Partner Connect program. SoftServe enables enterprises operating in complex, multicloud environments to unlock their full potential by combining creative thinking, deep sector expertise, and precision engineering to imagine and build what’s next. By utilizing digital engineering, AI mastery, and multicloud optimization, SoftServe provides a streamlined, cost-effective path to digital transformation and edge AI deployment that were previously fragmented across multiple vendors.
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