April, you were great to us! Welcome to another edition of our Lightning Digest TLDR: SambaNova + Intel DevTalks with Cline New research at ICLR 2026 Upcoming events https://
sambanova.ai/sambanova-ligh
tning-digest-premium-inference-for-coding-agents?&utm_source=x&utm_medium=organic&utm_content=newsletter-research
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@sambanovaai
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SambaNova Intel Partnership Advances Coding Agents Performance
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SambaHouse AI Demo Night: Open-Source Models and Production Inference
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We’re teaming up with @InfercomAI for SambaHouse AI Demo Night. Real demos, lightning talks, and honest conversations with builders working on open-source models and production inference. Details below
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AI Inference at Scale: RDUs and Parallel Processing Architecture
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What does AI inference actually look like under the hood?
— SambaNova (@SambaNovaAI) 27 avril 2026
From RDUs to multi-level parallelism, this is how we scale to thousands of tokens in parallel across racks.
Built for real performance at scale 🦾
🔗 Learn more: https://t.co/v6jPztJPFp pic.twitter.com/ElZHEMGyr1What does AI inference actually look like under the hood? From RDUs to multi-level parallelism, this is how we scale to thousands of tokens in parallel across racks. Built for real performance at scale Learn more: https://
sambanova.ai/products/rdu-a
i-chips?utm_source=x&utm_medium=organic
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Research on Prompt Compression Using Draft Models Accepted to ICLR
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Another research accepted to ICLR 2026 We explored a new way to shrink long prompts using smaller draft models from different model families, no retraining needed. Faster time to first token, with performance holding strong. Take a look @UrmishThakker
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DevTalks Ep. 3: Autonomous Coding with Cline and SambaNova
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Still time to sign up for DevTalks Ep. 3 Join us with @cline to talk autonomous coding and what changes when inference gets faster and workflows get smoother. 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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Long-Context Reasoning Limits Discovered in Automated Bug Fixing
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Congrats to the team on “The Limits of Long-Context Reasoning in Automated Bug Fixing” being accepted to ICLR 2026 The team put long-context reasoning to the test for automated bug fixing and found something surprising. Performance actually drops as context grows. Check out
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Faster AI Inference Transforms Assisted Coding Workflows
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Ever wonder what happens when inference speeds up? DevTalks Ep 3 is diving into this with @Cline
. It's not about replacing you, it's about staying in control while things get smoother. Don't miss out 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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AI Dev 26 SF: Connect on AI Infrastructure and Model Scaling
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We're heading to AI Dev 26 x SF @DeepLearningAI If you're going to be there, let's connect. Our team's always down to talk AI infrastructure, scaling models, or what you're building. April 28-29, 2026 Booth 307 Details below
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DevTalks Ep 3: Autonomous Coding with Cline
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We're a week away from DevTalks Ep 3 Join us for a chat about autonomous coding with @cline
. What changes when inference is faster, workflows are smoother, and you stay in control. April 30 | 11am PT | 2pm ET -
CPUs Critical Infrastructure for Agentic AI Performance
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🔥 Hot take: CPUs don’t get enough credit in agentic AI.
— SambaNova (@SambaNovaAI) 23 avril 2026
They prep data, route requests, and coordinate with accelerators, while also handling everything outside the model like code execution, DB queries, and validation.
Without them, inference can’t keep up 🦾
Do you agree… pic.twitter.com/RzBjFUHACdHot take: CPUs don’t get enough credit in agentic AI. They prep data, route requests, and coordinate with accelerators, while also handling everything outside the model like code execution, DB queries, and validation. Without them, inference can’t keep up Do you agree