3/ The Responses API is now supported across: SambaCloud SambaStack SambaManaged Starting with:
• gpt-oss-120B
• MiniMax M2.5
• MiniMax M2.7 Built for Codex CLI, Cline, OpenCode, CrewAI, OpenClaw, and custom agent harnesses.
@sambanovaai
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Responses API Now Supported Across SambaCloud, Stack, Managed
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MiniMax M2.7 Live: 435 Tokens/Sec for Coding Agents
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1/ @MiniMax_AI M2.7 is live on SambaCloud — running at 435 output tokens/sec, more than 3x the next-fastest provider (per @ArtificialAnlys
). Built for the way coding agents actually work: Reading files Running tests Fixing errors Looping until the job is done -
SambaNova Responses API Accelerates High-Volume Agent Workflows
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2/ Paired with SambaNova’s new Responses API, devs now get the fastest, most reliable foundation for high-volume agent workflows: • Large refactors
• Migrations
• Repo cleanup
• Multi-step coding tasks Because in agentic workflows, speed + cost determine whether an agent is -
SambaNova Partners on Sovereign AI Cloud for Australia
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Proud to partner with SCX as they deliver the world's 1st RDU-based sovereign AI cloud to Australia.
— SambaNova (@SambaNovaAI) 27 mai 2026
Designed for enterprises & government agencies that demand performance, compliance, and absolute data sovereignty.
Learn more ⬇️https://t.co/00T0eD3WtP pic.twitter.com/K27mYcuojJProud to partner with SCX as they deliver the world's 1st RDU-based sovereign AI cloud to Australia. Designed for enterprises & government agencies that demand performance, compliance, and absolute data sovereignty. Learn more https://
sambanova.ai/solutions/sout
herncrossai?utm_source=x&utm_medium=organic&utm_content=customer-partner
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Agentic AI and Premium Inference Speed Explained
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Agentic AI changes what speed actually means.
— SambaNova (@SambaNovaAI) 27 mai 2026
Behind every response, multiple agents are reasoning and exchanging tokens in real time. Faster inference means faster outcomes.
🎧 @SumtiJairath explains why premium inference matters @dcdnews: https://t.co/9Wwc0vkssJ pic.twitter.com/4eKEfKJjyRAgentic AI changes what speed actually means. Behind every response, multiple agents are reasoning and exchanging tokens in real time. Faster inference means faster outcomes. @SumtiJairath explains why premium inference matters @dcdnews
: https://
podcasts.apple.com/us/podcast/epi
sode-102-the-training-to-inference-passageway/id1607349232?i=1000764784324
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Coding Agents as Tool-Using Systems with API Support
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Coding agents are no longer chatbots, they’re tool-using systems that read files, run tests, patch code, and iterate until it works. That’s why we’re adding /v1/responses support across SambaCloud, SambaStack, and SambaManaged for faster agent workflows.
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SambaHouse AI Demo Night: Sovereign Infrastructure Event
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Still can't get over how much fun we had in Sydney.
— SambaNova (@SambaNovaAI) 26 mai 2026
SambaHouse AI Demo Night with @Equinix and @SCXAICloud brought together Australia’s AI community for demos, lightning talks, and conversations around the future of sovereign AI infrastructure. pic.twitter.com/RX42KWhJxeStill can't get over how much fun we had in Sydney. SambaHouse AI Demo Night with @Equinix and @SCXAICloud brought together Australia’s AI community for demos, lightning talks, and conversations around the future of sovereign AI infrastructure.
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Heterogeneous Hardware Strategy for Enterprise AI Inference
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Enterprises don’t need a single chip to handle all inference workloads.
— SambaNova (@SambaNovaAI) 26 mai 2026
The better approach is heterogeneous: GPUs for compute-heavy prefill, RDUs for fast decode, and CPUs for orchestration and integrations.
Right work, right hardware layer. That’s how you avoid tradeoffs. 🦾 pic.twitter.com/B1tqmROeQ2Enterprises don’t need a single chip to handle all inference workloads. The better approach is heterogeneous: GPUs for compute-heavy prefill, RDUs for fast decode, and CPUs for orchestration and integrations. Right work, right hardware layer. That’s how you avoid tradeoffs.
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RDUs deliver high tokens per kilowatt-hour for AI inference
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AI infrastructure doesn’t have to mean massive power draw.
— SambaNova (@SambaNovaAI) 22 mai 2026
Our RDUs deliver the highest tokens per kilowatt-hour, helping reduce deployments with ~10kW average power consumption.
More inference. Less energy. 🦾
Learn more: https://t.co/v6jPztJPFp pic.twitter.com/dUM5bB3T5kAI infrastructure doesn’t have to mean massive power draw. Our RDUs deliver the highest tokens per kilowatt-hour, helping reduce deployments with ~10kW average power consumption. More inference. Less energy. Learn more: https://
sambanova.ai/products/rdu-a
i-chips?utm_source=x&utm_medium=organic
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SambaStack offers high-performance AI inference infrastructure
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AI infra shouldn’t be complicated SambaStack gives teams a full hardware + software stack built for high-performance AI inference, whether you deploy on-prem or in the cloud. Learn more: https://
sambanova.ai/products/samba
stack?utm_source=x&utm_medium=organic&utm_campaign=enterprise
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