Thank you @ClayMagouyrk for the shoutout at the Oracle AI World stage this morning! We’re proud to bring fast, high-performance AI inference to @Oracle Cloud Infrastructure (OCI). More on our partnership below ⬇️

LIVE from Oracle AI World! SambaNova and @Oracle are collaborating to bring high-performance inference to Oracle Cloud Infrastructure (OCI). “Our customers want the right infrastructure for every AI workload, and inference demand is growing fast. We plan to bring SambaNova’s RDU chips to OCI to give AI builders a high-performance, efficient way to run models at scale.” — @MThiagarajan_, President, OCI. Full press release here: bit.ly/4e0V3Ts

One big takeaway from @hotchipsorg: agents are changing the inference game. More reasoning + more tool calls = a LOT more tokens. And across six frontier-model configs, decode made up 75–97% of inference time. So bandwidth & data movement matter. A fast chip is great. A fast system is better. Read the recap: bit.ly/4iacTGu

Our mixer after this week's Hot Chips was a good time, so we're doing it again! After AI Infra Summit, swing by the Hyatt Regency Santa Clara so you can meet the team, grab drinks, enjoy some food, and learn more about our open roles. September 15 | 6–9 PM Register here: bit.ly/4cjYLa2

As models get smarter and agentic workloads get more demanding, users expect both intelligence and speed. That’s why inference speed is becoming part of the AI experience, not just an infrastructure metric. Premium inference is here. ⚡ More in our blog: bit.ly/3S3jjMQ

AI training made GPUs the standard. AI inference is changing the equation. As Abhi shared with @FierceNetwork, minimizing data movement is the key to faster, more efficient inference—and our RDUs are purpose-built to deliver enterprise AI without requiring entirely new data centers. Thanks to @DiaMariesbeat for the coverage! bit.ly/4yzhnfr

Same prompt. Same model. Two stacks. At #Computex, we demonstrated disaggregated inference live: GPUs handling prefill, SambaNova RDUs handling decode, and CPUs orchestrating agent execution. The result? Up to 2X the speed of B200-only configurations 🦾

"VC2 is the largest commercial deployment of SambaNova technology in our history, and we're proud to partner with the industry's strongest leaders." - @LipBuTan1 Excited to see @vectorcorecomp launch live w/ our RDUs powering decode alongside GPUs & CPUs. itbrief.co.uk/story/vista-la…

At @LipBuTan1's #COMPUTEX2026 keynote today, @RodrigoLiang stepped onstage with @RFS_Vista to power up the world's first disaggregated inference cloud, VectorCore Compute (VC2), launched by @Vista_Equity and Cambium Capital. Three chips ran disaggregated inference, live from the VC2 datacenter in LA: ➡️ NVIDIA B200 GPUs — prefill, high-compute burst ➡️ SambaNova RDUs — decode, high-throughput, low-latency token generation at scale ➡️ Intel® Xeon® 6 CPUs — tool execution, end-to-end orchestration “GPUs are powerful. RDUs are fast. CPUs orchestrate. But disaggregate all three — and you get speed, performance, and economics no single chip can touch. That's the unlock.” – @RodrigoLiang

The future of inference is disaggregated. At #COMPUTEX2026, Vector Core Compute unveiled the world's first fully disaggregated inference cloud powered by Intel Xeon and SambaNova RDUs—designed for the scale, speed, and economics modern AI demands. Excited to help bring this vision to life with @Vista_Equity and Cambium Capital.