SambaNova is teaming up with TEPCO Systems to bring high-performance, energy-efficient AI infrastructure to Japan’s power sector. Real-world, mission-critical AI. Built to scale, securely and efficiently.
@sambanovaai
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SambaNova and TEPCO Deploy Energy-Efficient AI Infrastructure Japan
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SambaNova is teaming up with @TEPCOPG Systems to bring high-performance, energy-efficient AI infrastructure to Japan’s power sector Real-world, mission-critical AI. Built to scale, securely and efficiently.
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AI Company Expands with New San Jose Office and Growing Team
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New digs in San Jose, growing team, and more room to build what’s next in AI. Great to see everyone together with @RodrigoLiang cutting the ribbon. We’re just getting started.
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Autonomous Coding with Cline: DevTalks Webinar
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Time for another DevTalks This one: autonomous coding with @cline
. Faster inference, less friction, full control. April 30 | 11am PT | 2pm ET https://
sambanova.ai/webinar-ai-ass
isted-coding-workflows-with-cline.bot-sambanova?utm_source=x&utm_medium=organic&utm_campaign=developer&utm_content=events
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CPU Optimization for Agentic AI Systems: Xeon 6 and RDU Stack
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In agentic systems, CPUs do two things: orchestrate inference and run everything around it: LLVM compilation, vector DB queries, tool calls.
— SambaNova (@SambaNovaAI) 20 avril 2026
Faster execution at each step = shorter agent loop. That's why Xeon 6 + RDU is the full stack, not just the accelerator.
🔗… pic.twitter.com/GUfTThjp7SIn agentic systems, CPUs do two things: orchestrate inference and run everything around it: LLVM compilation, vector DB queries, tool calls. Faster execution at each step = shorter agent loop. That's why Xeon 6 + RDU is the full stack, not just the accelerator.
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RDU Architecture Solves Token Generation Decode Bottleneck
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Decode is the bottleneck you actually feel. The RDU attacks it differently. 🦾
— SambaNova (@SambaNovaAI) 17 avril 2026
Data streams to compute, not the other way around.
Three-tier memory. PCU/PMU grids. No kernel-by-kernel stalling. That's fast token generation at the architecture level.
🔗 Learn more:… pic.twitter.com/yy2qqkquaVDecode is the bottleneck you actually feel. The RDU attacks it differently. Data streams to compute, not the other way around. Three-tier memory. PCU/PMU grids. No kernel-by-kernel stalling. That's fast token generation at the architecture level. Learn more:
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SN50 Scales Large AI Models with Distributed Cluster Architecture
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The SN50 scales to large models via interconnected rack clusters with a distributed memory architecture This enables higher concurrency and predictable inference performance at any model size. Built for scale from the ground up. Learn more: https://
sambanova.ai/products/rdu-a
i-chips?utm_source=x&utm_medium=organic
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Dataflow Architecture: Key to AI Inference Speed Beyond Chips
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Faster AI chips alone don't fix slow inference. The real bottleneck is data movement. In the decode era, how well your architecture moves data determines speed, throughput, and cost. Here's why Dataflow matters more than ever
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Forbes AI50 2026: Fast Inference Becomes New Standard
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Another — the @Forbes 2026 #ForbesAI50 List! “When you see fast internet, who wants slow? It’s the same with inference. When you see fast inference, who wants to go back to slow?” — @RodrigoLiang As Rodrigo shared in his Forbes conversation, the shift is clear: AI is moving
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SN50 Chip Runs Multiple AI Models Simultaneously Without Latency
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The SN50 runs multiple models simultaneously.
— SambaNova (@SambaNovaAI) 16 avril 2026
No reloading, no latency. Switch between models instantly with tiered memory architecture, perfect for agentic AI workflows.
More models. Less waiting. Better efficiency.
🔗 Learn more: https://t.co/v6jPztJPFp pic.twitter.com/xqNMBmnHhMThe SN50 runs multiple models simultaneously. No reloading, no latency. Switch between models instantly with tiered memory architecture, perfect for agentic AI workflows. More models. Less waiting. Better efficiency. Learn more: https://
sambanova.ai/products/rdu-a
i-chips?utm_source=x&utm_medium=organic
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