JTMWYDJust tell me what you do.
Markdown ↗Search

sambanova

sambanova.ai ↗

sambanova: products, features, and independent customer feedback.

Products

DataflowThe natural movement of AI.
Source ↗Product page ↗

SambaNova’s Dataflow Architecture is a hardware design in its Reconfigurable Dataflow Unit (RDU) that allows data to flow from one AI operation to the next as an assembly pipeline. This architecture eliminates frequent, energy-intensive memory bottlenecks (kernel calls), enabling faster AI inference, higher model utilization, and significantly better energy efficiency. Source ↗

SambaCloudThe fastest AI inference on the largest models.
Source ↗Product page ↗

SambaCloud is a full-stack AI inference platform developed by SambaNova. It delivers the fastest inference speeds on large open-source models — including Llama, DeepSeek, and Qwen — using SambaNova's proprietary Reconfigurable Dataflow Unit (RDU) AI chip. It is purpose-built for developers who need high-throughput, low-latency AI at scale. Source ↗

SambaRackAir-cooled hardware built for cloud-scale agentic AI solutions.
Source ↗Product page ↗

SambaRack is a turnkey AI rack system designed to deploy and run large AI models efficiently in data centers. It integrates hardware, networking, and software into a single self-contained system built around SambaNova RDU chips to deliver fast inference performance. Source ↗

SambaStackThe most efficient full-stack fast AI inference to build your AI factory.
Source ↗Product page ↗

SambaStack is SambaNova's full-stack enterprise AI platform, combining purpose-built hardware and software into a single, integrated solution for AI inference. It is designed for organizations that need dedicated AI infrastructure — deployed either on-premises or in the cloud — and want to run the fastest inference on leading open-source models at scale. Source ↗

SambaStack allows your team to fully configure the workloads you want to run on SambaRack systems. Each rack can run pre-configured model bundles and hot-swap between model bundles at inference time. This allows you to serve more models with a significantly smaller hardware footprint. Source ↗

RDURDU chips from SambaNova are purpose-built for agentic inference. The SN50 is the chip with the speed and throughput required for agentic AI.
Source ↗Product page ↗

Marketing & Ads

GoogleSambaNova Systems, Inc
Original ad ↗
Ad creativeFirst shown Oct 6, 2026 · Last shown Nov 10, 2026

Landing page unavailable: the ad source did not supply a destination URL.

GoogleSambaNova Systems, Inc
Original ad ↗
Ad creativeFirst shown Oct 6, 2026 · Last shown Nov 10, 2026

Landing page unavailable: the ad source did not supply a destination URL.

LinkedInSambaNova
Original ad ↗
Talk To Our Neocloud Team To See How You Could Benefit

Talk To Our Neocloud Team To See How You Could Benefit

You can serve a billion tokens a second and lose money on every one of them. Speed is expected. Payback is the benchmark. Ours is 6 months. Here’s a fun experiment for you: Ask an AI infrastructure vendor about payback and watch how quickly the conversation gets awkward. 😬 Every buyer cares about one thing: When does this hardware earn back what I paid for it? For most infrastructure, the answer is a year or more. We’ve somehow decided that’s normal. Well, we don’t. 6-month payback. 5-year lifespan. You can do the math. Economics is the real difference-maker.

Request Demo

First shown Oct 19, 2026 · Last shown Nov 11, 2026

Landing page

Chip performance that pays for itself | SambaNovaCaptured Nov 11, 2026Chip performance that pays for itself | SambaNova ↗
GoogleSambaNova Systems, Inc
Original ad ↗
Ad creativeFirst shown Oct 14, 2026 · Last shown Nov 10, 2026

Landing page unavailable: the ad source did not supply a destination URL.

LinkedInSambaNova
Original ad ↗
Making AI More Affordable with Disaggregated Inference

Making AI More Affordable with Disaggregated Inference

"As the cost of tokens continue to rise because the infrastructure is so expensive, people are looking for alternatives. So at SambaNova, we come in with a much lower-cost infrastructure, much higher performance. We drive it at 10 kilowatts, an order of magnitude lower power than the traditional GPUs." — Rodrigo Liang During his chat with Matthew Miller on Bloomberg Television, Rodrigo explained how we're able to make AI more affordable: disaggregated inference. Instead of relying on a single architecture, it combines GPUs for prefill, RDUs for high-speed decode, and CPUs for orchestration, allowing each processor to do what it does best. The result is faster inference, lower latency, and significantly lower-cost tokens for enterprises and service providers deploying AI at scale. This architecture powers the world's first commercially available disaggregated inference cloud, including VC2, helping organizations bring AI into production with better performance and better economics. Watch their conversation below ⬇️

Learn more

First shown Sep 15, 2026 · Last shown Nov 11, 2026

Landing page

The First Disaggregated Inference Demo for AI Agents Is LiveCaptured Nov 11, 2026The First Disaggregated Inference Demo for AI Agents Is Live ↗
GoogleSambaNova Systems, Inc
Original ad ↗
Ad creativeFirst shown Oct 6, 2026 · Last shown Nov 10, 2026

Landing page unavailable: the ad source did not supply a destination URL.

GoogleSambaNova Systems, Inc
Original ad ↗
Ad creativeFirst shown Oct 6, 2026 · Last shown Nov 10, 2026

Landing page unavailable: the ad source did not supply a destination URL.

LinkedInSambaNova
Original ad ↗
Ad creative

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,” said Mahesh Thiagarajan, President, Oracle Cloud Infrastructure. “We plan to bring SambaNova’s RDU chips to OCI to give AI builders a high-performance, efficient way to run models at scale.” Link to the full press release in the comments below ⬇️

Landing page unavailable: the ad source did not supply a destination URL.

GoogleSambaNova Systems, Inc
Original ad ↗
Ad creativeFirst shown Oct 6, 2026 · Last shown Nov 10, 2026

Landing page unavailable: the ad source did not supply a destination URL.

GoogleSambaNova Systems, Inc
Original ad ↗
Ad creativeFirst shown Oct 6, 2026 · Last shown Nov 10, 2026

Landing page unavailable: the ad source did not supply a destination URL.

GoogleSambaNova Systems, Inc
Original ad ↗
Ad creativeFirst shown Oct 6, 2026 · Last shown Nov 10, 2026

Landing page unavailable: the ad source did not supply a destination URL.

LinkedInSambaNova
Original ad ↗
Broadcom's Charlie Kawwas & BlackRock's Tony Kim on Best Inference Platforms

Broadcom's Charlie Kawwas & BlackRock's Tony Kim on Best Inference Platforms

When you get a haute couture shoutout at RAISE Summit 🤩 Huge thanks to Charlie Kawwas & Tony Kim for highlighting the amazing collaboration between our teams across generations of AI infrastructure. So inspiring to watch heterogeneous AI infrastructure lead the way as we move into an exciting new chapter for enterprise AI! 🦾 Rodrigo Liang Henri Delahaye Broadcom BlackRock

Learn more

First shown Sep 15, 2026 · Last shown Nov 11, 2026

Landing page

RDU | Next-Gen AI Chip for Inference at ScaleCaptured Nov 11, 2026RDU | Next-Gen AI Chip for Inference at Scale ↗
GoogleSambaNova Systems, Inc
Original ad ↗
Ad creativeFirst shown Oct 6, 2026 · Last shown Nov 10, 2026

Landing page unavailable: the ad source did not supply a destination URL.

GoogleSambaNova Systems, Inc
Original ad ↗
Ad creativeFirst shown Oct 6, 2026 · Last shown Nov 10, 2026

Landing page unavailable: the ad source did not supply a destination URL.

LinkedInSambaNova
Original ad ↗
The Power Crisis No One Is Talking About in AI

The Power Crisis No One Is Talking About in AI

"The benefit of SambaNova, uniquely, which is a result of our architecture, is our systems are fully air cooled. They're 30 kilowatts and they can go into most datacenters in the world today." — Anton McGonnell Many AI racks need 600 kW of power. No datacenter in the world can handle that today. SambaNova runs on 30kW and fits in existing infrastructure. 🦾 🎥: Forbes

Learn more

First shown Sep 15, 2026 · Last shown Nov 11, 2026

Landing page

AI Data Center Sizing Tool & Calculator | SambaNovaCaptured Nov 11, 2026AI Data Center Sizing Tool & Calculator | SambaNova ↗
GoogleSambaNova Systems, Inc
Original ad ↗
Ad creativeFirst shown Sep 16, 2026 · Last shown Nov 10, 2026

Landing page unavailable: the ad source did not supply a destination URL.

GoogleSambaNova Systems, Inc
Original ad ↗
Ad creativeFirst shown Sep 16, 2026 · Last shown Nov 10, 2026

Landing page unavailable: the ad source did not supply a destination URL.

GoogleSambaNova Systems, Inc
Original ad ↗
Ad creativeFirst shown Sep 16, 2026 · Last shown Nov 10, 2026

Landing page unavailable: the ad source did not supply a destination URL.

LinkedInSambaNova
Original ad ↗
Talk To Our Neocloud Team To See How You Could Benefit

Talk To Our Neocloud Team To See How You Could Benefit

You can serve a billion tokens a second and lose money on every one of them. Speed is expected. Payback is the benchmark. Ours is 6 months. Here’s a fun experiment for you: Ask an AI infrastructure vendor about payback and watch how quickly the conversation gets awkward. 😬 Every buyer cares about one thing: When does this hardware earn back what I paid for it? For most infrastructure, the answer is a year or more. We’ve somehow decided that’s normal. Well, we don’t. 6-month payback. 5-year lifespan. You can do the math. Economics is the real difference-maker.

Request Demo

First shown Oct 19, 2026 · Last shown Nov 11, 2026

Landing page

Chip performance that pays for itself | SambaNovaCaptured Nov 11, 2026Chip performance that pays for itself | SambaNova ↗
GoogleSambaNova Systems, Inc
Original ad ↗
Ad creativeFirst shown Sep 20, 2026 · Last shown Nov 10, 2026

Landing page unavailable: the ad source did not supply a destination URL.

GoogleSambaNova Systems, Inc
Original ad ↗
Ad creativeFirst shown Sep 20, 2026 · Last shown Nov 10, 2026

Landing page unavailable: the ad source did not supply a destination URL.

GoogleSambaNova Systems, Inc
Original ad ↗
Ad creativeFirst shown Sep 20, 2026 · Last shown Nov 10, 2026

Landing page unavailable: the ad source did not supply a destination URL.

LinkedInSambaNova
Original ad ↗
Ad creative

Big news for our team: SambaNova Co-Founder and CEO Rodrigo Liang has joined the WSJ Leadership Institute CEO Council. Rodrigo brings decades of experience building processors, systems and technology designed for the world’s most demanding computing challenges. At SambaNova, that vision has driven a full-stack approach to AI infrastructure built around our Reconfigurable Dataflow Unit architecture. As AI moves from experimentation to production, Rodrigo brings a clear perspective on what it will take to deliver inference faster, more efficiently and at an economic scale. We’re looking forward to the conversations ahead. Congratulations, Rodrigo! 🚀 Learn more: https://bit.ly/4xJRxE3

Landing page unavailable: the ad source did not supply a destination URL.

LinkedInSambaNova
Original ad ↗
The Premium Inference Moment Is Here

The Premium Inference Moment Is Here

What happens when bigger, smarter models also get faster? 🤔 You get a new category of AI experience: premium inference. As models scale, speed becomes just as important as intelligence. For agents and other latency-sensitive workloads, every token matters. The next step isn't just serving more tokens. It's serving better tokens, faster.

Learn more

First shown Sep 15, 2026 · Last shown Nov 11, 2026

Landing page

Premium Inference: Serving Fast Tokens for Agentic AICaptured Nov 11, 2026Premium Inference: Serving Fast Tokens for Agentic AI ↗
Website marketing

Contact SambaNova Today ↗

Connect with SambaNova. Contact us for sales inquiries, partnerships, technical support, or general information about our AI solutions and platform.

Observed Nov 11, 2026

New pages

Contact forms