SambaNova Abandons Intel Acquisition, Raises Funding Instead

2026-02-26 · Source: Big Data & AI News - EE Times · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure · Depth: Intermediate, medium

Summary

SambaNova has secured $350 million in Series E funding, led by Vista Equity Partners and Cambium Capital, with Intel Capital also participating. This funding round accompanies a new multi-year partnership with Intel, abandoning earlier acquisition rumors. SambaNova also announced its new SN50 chip, designed for economic agentic inference at scale. The SN50 is claimed to be 5x faster and 3x cheaper than competitive GPUs for agentic AI, featuring increased compute, support for 8- and 4-bit math, and a new interconnect protocol enabling up to 256 chips to share a single memory space. The chip targets LLM token generation in multi-agent workflows, with SoftBank as its first customer, and is expected to ship in the second half of 2026.

Key takeaway

For AI architects and CTOs evaluating inference hardware, SambaNova's SN50 chip and its partnership with Intel offer a compelling alternative to GPU-centric solutions, particularly for agentic AI workloads requiring low-latency, cost-effective token generation. Consider integrating SN50-based rack systems into your infrastructure roadmap for the second half of 2026 to optimize LLM inference economics and performance, especially for sovereign cloud deployments.

Key insights

SambaNova secured $350M funding and partnered with Intel, launching the SN50 chip for economic agentic AI inference.

Principles

• Prioritize inference over training for market momentum.
• Sovereign partnerships drive cloud infrastructure sales.
• Disaggregated inference optimizes LLM workloads.

Method

The SN50 chip utilizes a three-tier memory hierarchy with agentic caching, increased compute, and a proprietary Ethernet-based interconnect to scale out to 256 chips for low-latency multi-model inference.

In practice

• Deploy SN50 for low-latency multi-agent LLM token generation.
• Utilize SambaNova Cloud on Intel Xeon for agentic AI development.
• Explore disaggregated inference solutions combining CPUs/GPUs with RDUs.

Topics

• SambaNova SN50
• AI Inference Chips
• Agentic AI
• Strategic Partnerships
• LLM Tokenomics

Best for: CTO, VP of Engineering/Data, AI Architect, Director of AI/ML, AI Engineer, Investor

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Editorial summary, takeaway, and curation by AIssential. Original article published by Big Data & AI News - EE Times.