SambaNova Systems vs 100ms
Side-by-side comparison of AI visibility scores, market position, and capabilities
AI chip and platform company. $1.48B total raised ($350M Series E Feb 2026). SN50 chip: 5x faster, 3x lower cost. Intel partnership. Founded in Palo Alto.
About
SambaNova Systems was founded in 2017 by Stanford professors Kunle Olukotun and Chris Ré, along with Rodrigo Liang, to build a full-stack AI platform combining custom silicon, software, and enterprise deployment services. The company's Reconfigurable Dataflow Architecture (RDA) chip is designed specifically for AI workloads, with hardware that adapts its computational structure to match the dataflow patterns of neural network inference and training. This architectural approach contrasts with NVIDIA's CUDA-centric GPU paradigm, offering potential advantages in efficiency for specific enterprise AI deployment patterns.\n\nSambaNova offers an integrated platform—hardware, software, and model serving—targeted at large enterprises and government customers that need to run powerful AI models with strict data security, compliance, and performance requirements. Its SN50 chip delivers claimed 5x speed improvements and 3x cost reductions compared to H100 GPUs for inference workloads, making it attractive for high-volume enterprise AI deployment. The company has partnered with Intel to broaden its hardware ecosystem and offers pre-trained foundation models optimized for its silicon as part of its enterprise AI suite.\n\nSambaNova has raised $1.48B in total funding, including a $350M Series E in February 2026, demonstrating continued investor confidence in its enterprise-focused AI hardware strategy. The company targets a differentiated position from NVIDIA by going deep on the full stack for enterprise customers rather than competing head-to-head on general-purpose AI compute. Government and regulated industry deployments—where on-premises, auditable AI infrastructure is required—are a particularly strong segment for SambaNova's integrated approach.
100ms is a live audio/video infrastructure platform with SDKs for React, iOS, Android, and Flutter, providing programmable rooms, recording, and live streaming for web and mobile apps.
About
100ms is a live audio and video infrastructure platform that provides developers with SDKs and APIs for embedding real-time communication features — video rooms, audio spaces, live streams, and recording — into web and mobile applications. The platform is designed around a room-based model where developers programmatically create, configure, and manage video rooms through a REST API, with client SDKs for React, iOS, Android, Flutter, and React Native handling the media layer. This abstraction allows teams to build fully custom video experiences with their own UI without dealing with WebRTC internals, TURN server management, or media server infrastructure.
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