SambaNova SN40L technology
Inference infrastructure built around data movement.
SambaNova SN40L Reconfigurable Dataflow Units are built for the practical bottleneck in production AI: keeping large models moving fast, efficiently, and under operational control.
The technical case
Inference is not just a compute problem.
When AI moves from experiments into live products, the pressure shifts to sustained inference: moving model data, serving tokens, switching models, and keeping latency predictable. SN40L is designed around that data movement problem.
Conventional GPU path
Traditional accelerator designs often move data repeatedly between memory and compute. That can make production inference more power hungry and operationally complex at scale.
RDU dataflow path
RDU architecture maps workloads as a continuous dataflow, reducing unnecessary movement and improving the balance between throughput, latency, and energy use.
How the serving path works
Architecture
Built for model residency, switching, and agent workloads.
The SN40L story is not just a chip story. It is a chip, rack, memory, and software stack designed to run large open models in production environments where utilisation matters.
Reconfigurable dataflow
The RDU fabric is designed to map AI workloads directly to a dataflow execution path. Less avoidable movement means better sustained serving economics.
Three-tier memory
SN40L combines on-chip SRAM, high-bandwidth memory, and attached DDR memory so large models and expert systems can be served efficiently.
Full-stack software
SambaStack turns the hardware into an enterprise platform: model serving, orchestration, deployment control, and API access in one stack.
Why Argyll
We turn the rack into a sovereign AI service.
The commercial value is not owning unusual hardware. It is turning efficient inference into a reliable platform for UK-hosted workloads, regulated teams, and organisations that need control over data, deployment, and operating model.
Hosted inference
Start with managed access to fast open-weight models before committing to reserved infrastructure or a dedicated environment.
Dedicated capacity
Reserve infrastructure for predictable demand, production support, performance planning, and governance requirements.
Sovereign deployment
Design private, on-premises, hosted, or hybrid deployments around UK data residency, resilience, and organisational control.
Make SN40L practical for your organisation.
Argyll helps teams move from evaluation to hosted inference, dedicated capacity, or fully sovereign deployment without rebuilding their stack around hyperscaler assumptions.
Source basis: Argyll pages for RDU chip, whitepapers, and services; SambaNova official material for SN40L RDU and SambaStack.