SambaNova Systems
also referred to as: sambanova
includes SambaNova Systems SM 50
18 statements across 2 episodes · 13 bullish · 2 bearish · 1 people on the record · first statement Jul 17, 2026 by Rodrigo Liang · said 41 times in 8 episodes since 2026 · across every show →
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brought up most by Rodrigo Liang (27), Molly O'Shea (13), Tony Kim (1)
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2026 41 mentions in 8 episodes 5 per episode
- Inference 101: SambaNova CEO Rodrigo Liang · Sourcery with Molly O'Shea
- AMD, Starcloud, Coatue..10 Hot Takes From The Biggest Names in AI · Sourcery with Molly O'Shea
- BlackRock's Tony Kim on AI's Next Winners? Chips, Memory, Robotics & Quantum · Sourcery with Molly O'Shea
- AssemblyAI Now Handles 4x YouTube's Daily Volume
- Lumentum CEO: How Lasers Are Transforming AI Data Centers · Sourcery with Molly O'Shea
- Inside the Fastest-Growing Category in AI: Scott Wu, CEO of $26B Cognition · Sourcery with Molly O'Shea
- Hyperscalers Are Out of Capacity? | MongoDB CEO · Sourcery with Molly O'Shea
- Andrew Feldman on Building a Chip 58x Larger Than Nvidia's · Sourcery with Molly O'Shea
- every mention in 2026, scene by scene →
Everything said about SambaNova Systems, oldest first
Jul 17, 2026 bullish
Jul 17, 2026
Jul 17, 2026 positive
Jul 17, 2026 bearish
Liang: Nvidia GPUs are a commodity offering very limited cost advantage
“People forget, as much as NVIDIA costs, it's commodity. Right? Because what you offer is the same as what your neighbor offers and your differentiation is, I can save you a little bit of money because maybe I got a discount from NVIDIA, right? Or maybe I got a…”
Jul 17, 2026 bullish
Liang: Demand will converge on the fastest, most accurate large models
“And so, as the cost of delivering fast goes down, you're going to see most people switch over to the fastest. And this is why I feel like, you know, the premium inference, which is large models, which equals the most accurate. The most accurate models and fast…”
Jul 17, 2026 positive
Jul 17, 2026 bullish
Jul 17, 2026 neutral
Liang: Frontier AI models are heading toward 10 trillion parameters
“The new models are heading towards 10 trillion. Even the open source models are already one to two trillion parameter models, and so now you're starting to see these models getting very big because people are looking for accuracy, right?”
Jul 17, 2026
Liang: AI compute economics are measured by token revenue generated per rack
“And this is the way we see most providers measuring. They purchase per rack, they operate per rack, and so they want to generate revenue per rack, and the revenue is generated per token, right? If I put a rack of hardware, I'm just seeing how many tokens I mig…”
Jul 17, 2026 positive
Liang: SambaNova builds 10-to-20 rack edge data centers inside shipping containers
“Because of somewhat of technology being as little as 10 kilowatts per rack, we can put them inside shipping containers. Right, so we build out these data centers, clusters of 10, 20 racks, inside the shipping containers that you see on these ships, right?”
Jul 17, 2026 positive
Liang: SambaNova inference uses standard air-cooled racks and Ethernet
“Standard 19 inch rack, standard air cooling, no complicated liquid cooling retrofit in the data center. We're using standard Kubernetes, standard Red Hat Linux, standard Ethernet at the top for networking. We don't have to use all this kind of really expensive…”
Jul 17, 2026 positive
Jul 17, 2026 bullish
Liang: SambaNova runs the largest models in full precision without quantizing
“We take the biggest models in the world and we run them in the original precision. We don't, you know, we don't quantize. We don't, you know, quantizing is, you know, you chop half the, you know, weights off. So, so we don't chop the model down. We just run or…”
Jul 17, 2026 negative
Liang: SambaNova will not build proprietary cloud to compete with AWS
“Many of the chip companies have chosen to go build their own cloud. They compete with the AWSs of the world. We have chosen not to do that. What we decided that, you know, we want to do is focus our energy on creating technology that we can ship.”
Jul 17, 2026 bullish
Liang: Infrastructure repatriation to on-premises is actively occurring across enterprises
“Look, repatriation of infrastructure into on-prem is definitely happening, right? You saw this big shift. Everybody's got a cloud called cloud, you know, everything's in the cloud, and 20 years later, you still have companies just starting the migration to the…”
Jul 17, 2026 positive
Liang: SambaNova is deploying hardware in metropolitan cities for lower latency
“And so you're now seeing us coming in and saying, look, we're going to deploy the hardware where the users are in large metropolitan cities. Because that's where business is being run, and so latency is really important, so we're going to deploy that.”
Jul 17, 2026 bullish
Liang: SambaNova serves 1.5T parameter models on one rack versus 10-20
“And so with sum it over, that minimum quantum is down to one rack. Right, where if you have other, other service providers, you just run, say, a DeepSeq model, which is now one and a half trillion parameters, just to run that, the minimum for some of the other…”