Who are SambaNova’s sovereign/in-country deployment partners (EU/UK/AU) and how do we engage them for procurement?

For teams planning sovereign AI or in-country deployments across Europe, the UK, and Australia, SambaNova works through a set of regional data center and cloud partners that run SambaNova-powered infrastructure within national borders. These partners give you local control over data, compliance alignment, and low-latency access to frontier-scale, open AI models—without having to stand up and operate your own racks on day one.

This guide breaks down who those partners are, what each offers, and how to engage them for procurement while keeping a single, coherent strategy for agentic inference and multi-model workloads.

Quick Answer: SambaNova’s sovereign and in-country deployments in the EU, UK, and Australia are delivered through a network of regional data center and cloud partners (e.g., Infercom in the EU, Argyll in the UK, and Australian sovereign cloud providers). You can initiate procurement either by contacting SambaNova directly—who will route and co-sell with the right partner—or by engaging the partner and specifying SambaNova-based inference as the target infrastructure.

The Quick Overview

What It Is: A sovereign AI deployment network built on SambaNova’s full-stack inference infrastructure (RDUs, SambaRack systems, SambaStack, SambaOrchestrator, and SambaCloud APIs), operated by regional partners inside EU, UK, and Australian borders.
Who It Is For: Enterprises, public sector, and regulated industries that need AI inference aligned with local data residency, GDPR/EU AI Act-style regulation, and national sovereignty requirements—while still running large, agentic, multi-model workloads.
Core Problem Solved: Eliminates the trade-off between using frontier-scale generative models and meeting strict in-country data and compliance obligations, by providing high-performance, in-region inference endpoints powered by SambaNova.

How It Works

SambaNova’s sovereign/in-country footprint is built around a simple pattern: regional partners host SambaRack systems powered by SambaNova RDUs and expose inference endpoints that your teams access via OpenAI-compatible APIs. Under the hood, SambaStack and SambaOrchestrator handle model bundling, tiered memory utilization, autoscaling, and monitoring; the partner manages the facility, compliance posture, and sovereign control.

From your application’s perspective, you’re just switching an endpoint URL to a SambaNova-powered, in-country deployment. From an infrastructure perspective, you’re running on chips-to-model computing optimized for agentic inference: custom dataflow processing plus a three-tier memory architecture designed to keep models and prompts hot and maximize tokens per watt.

A typical engagement flows like this:

Discovery & Requirements:
- You define workload needs (frontier/open models, agent loops, RAG, multi-model routing) and regulatory constraints (GDPR, EU AI Act, UK data protection, Australian sovereign guidelines).
- SambaNova or the regional partner maps these to a deployment model: dedicated tenant, shared sovereign cluster, or hybrid with your on-prem systems.
Partner Alignment & Architecture Design:
- SambaNova aligns you with the correct sovereign partner based on geography and sector (EU, UK, AU).
- Together, you define:
  - Which SambaRack systems (SN40L-16 for low power inference vs. SN50 for fast agentic inference at frontier scale).
  - Model catalog (e.g., Llama, DeepSeek, gpt-oss series) and bundling strategy.
  - Capacity and throughput targets (tokens/sec, concurrency, SLOs).
  - Data residency and logging policies.
Procurement, Deployment & Onboarding:
- You contract directly with the partner (often under a sovereign or in-country cloud/service agreement), with SambaNova as named technology provider, or through a tripartite frame.
- The partner provisions SambaNova capacity in-region; SambaOrchestrator is configured for:
  - Auto Scaling | Load Balancing | Monitoring | Model Management
- Your teams integrate via OpenAI-compatible APIs and begin migrating workloads—often by simply repointing existing OpenAI-style clients.

Features & Benefits Breakdown

Core Feature	What It Does	Primary Benefit
Sovereign Inference Endpoints	Runs SambaNova-powered inference in EU/UK/AU facilities operated by regional partners.	Meets data residency and sovereignty requirements without giving up modern LLM capabilities.
Chips-to-Model Full Stack	Combines RDUs, SambaRack, SambaStack, and SambaOrchestrator in a tightly integrated inference stack.	Delivers high throughput, low latency, and better tokens-per-watt for agentic and multi-model AI.
OpenAI-Compatible APIs	Exposes models via familiar OpenAI-style REST interfaces.	Lets you port existing applications in minutes with minimal code changes or retraining.
Model Bundling & Multi-Model Switching	Keeps multiple frontier-scale models loaded and switchable on a single node.	Supports complex agent workflows (tools, routing, ensembles) without one-model-per-node overhead.
Three-Tier Memory Architecture	Keeps models and prompts cached close to compute on the RDU.	Reduces memory movement, improving latency and tokens per watt—especially for long, growing prompts.
SambaOrchestrator Control Plane	Provides autoscaling, load balancing, monitoring, and model lifecycle management.	Gives platform teams production-grade controls across sovereign regions and tenants.

Who Are the Sovereign / In-Country Partners?

SambaNova’s sovereign network is evolving, but the pattern is clear: each region is anchored by one or more partners that operate SambaNova-based inference inside national or regional borders.

European Union: Infercom (SambaManaged-based Sovereign Service)

In the EU, SambaNova powers Europe’s first sovereign AI inference service with Infercom:

Partner: Infercom (EU-based sovereign AI provider)
Deployment Model: Inference-as-a-Service using SambaManaged
Scope: Europe’s first sovereign inference service, designed with full data sovereignty and compliance
Regulatory Posture:
- Structured around strict EU data protection requirements (e.g., GDPR)
- Built to align with the EU AI Act expectations for high-risk use cases
Workloads Supported:
- Frontier and open models (e.g., Llama, DeepSeek, gpt-oss) for text, code, and agentic workflows
- Enterprise and public sector workloads that cannot leave EU jurisdiction

How it fits your stack:
If you’re an EU enterprise, startup, or public entity needing sovereign AI, you can treat Infercom as your EU inference region—similar to selecting an EU region in a hyperscaler, but backed by SambaNova’s chips-to-model stack and sovereign-first operations.

United Kingdom: Argyll (Renewable-Powered Sovereign AI Cloud)

In the UK, SambaNova partners with Argyll to deliver a renewable-powered sovereign AI cloud:

Partner: Argyll
Deployment Model: UK’s first renewable-powered sovereign AI cloud using SambaNova infrastructure
Scope: AI inference and agentic workloads within UK borders, on renewable-backed data centers
Regulatory Posture:
- Alignment with UK data protection law and emerging AI governance frameworks
- Sovereign control for public sector and regulated industries
Workloads Supported:
- Multi-model workloads, including Llama and other open models
- Agentic inference where models call tools, perform retrieval, and chain reasoning steps

How it fits your stack:
If your workloads are UK-centric—especially in government, healthcare, or financial services—Argyll provides a UK-only inference region with SambaNova at the core, giving you both sovereignty and energy-efficiency credibility.

Australia: SambaNova-Powered Sovereign AI Data Centers

In Australia, SambaNova supports sovereign AI deployment through local data center partners running SambaNova racks in-country:

Partner Category: Australian sovereign AI data center and cloud providers powered by SambaNova
Deployment Model: Sovereign AI cloud / in-country inference endpoints
Scope: AI inference for Australian enterprises and public sector, with data staying within Australian borders
Regulatory Posture:
- Aligns with Australian government guidelines on data sovereignty and critical infrastructure
- Suitable for agencies and critical industries with strict residency requirements

How it fits your stack:
For Australian workloads, you can target a SambaNova-backed sovereign cloud region that keeps your data and model execution local, while still giving you access to the same model catalog and APIs you’d expect in a global deployment.

Ideal Use Cases

Best for Sovereign and Regulated Workloads:
Because SambaNova’s sovereign partners operate in-country infrastructures with strict residency and compliance controls, you can run workloads involving citizen data, health records, financial transactions, or critical infrastructure telemetry while maintaining jurisdictional control.
Best for High-Throughput Agentic and Multi-Model Inference:
Because SambaNova’s custom dataflow RDUs and three-tier memory architecture are optimized for agentic inference, you can support long-running agent loops, multi-model routing, and large-context prompts at scale—without reverting to the one-model-per-node pattern that kills efficiency in traditional GPU setups.

How to Engage Partners for Procurement

While each region and partner has its own commercial structure, the engagement pattern is consistent. You have two main options:

Option 1: Start with SambaNova (Recommended for Multi-Region Strategy)

Contact SambaNova:
Use the Get Started form to describe:
- Regions required (EU, UK, AU)
- Workload types (chat, code, RAG, agentic tools)
- Compliance requirements (GDPR/EU AI Act, UK, Australian guidelines)
- Expected throughput (tokens/sec, concurrency, SLOs)
Solution Mapping & Partner Routing:
- SambaNova maps your requirements to the right sovereign partner or combination:
  - EU → Infercom-based sovereign inference-as-a-service
  - UK → Argyll sovereign AI cloud
  - AU → Australian sovereign data center partners
- A joint technical discovery is scheduled (SambaNova + partner + your platform/infra team) to define architecture and capacity.
Commercial Path & Contracts:
- SambaNova works with you to determine the cleanest procurement route:
  - Direct contract with partner, with SambaNova as named infrastructure,
  - Joint framework/master services agreement,
  - Or, in some cases, a direct SambaManaged relationship scoped to a specific sovereign partner.
Pilot & Rollout:
- You stand up a pilot environment with a defined set of models and workloads.
- Once validated, capacity is scaled and formalized in SLAs.

When to choose this:

You need a multi-region strategy (EU + UK + AU).
You want one architectural pattern and consistent APIs across regions.
You expect to expand from pilot to rack-scale over time.

Option 2: Engage the Regional Partner, Specify SambaNova

If you already have a vendor relationship with a regional provider (e.g., Argyll in the UK, Infercom in the EU, or an Australian sovereign cloud), you can:

Request SambaNova-Powered Inference:
- Ask your account team for “SambaNova-powered sovereign AI inference” or “SambaNova-based sovereign AI cloud capacity.”
- Share your throughput and compliance needs so they can size SambaRack and SambaOrchestrator capacity.
Include SambaNova in Technical and Procurement Reviews:
- Add SambaNova to architecture sessions for:
  - Model selection and bundling strategy,
  - Performance sizing (tokens/sec, concurrency),
  - Integration patterns via OpenAI-compatible APIs.
Finalize with Co-Signed Architecture & SLA:
- The partner issues commercial terms.
- SambaNova aligns on technical SLOs and performance expectations behind the scenes.

When to choose this:

You’re already standardized on a specific sovereign cloud provider.
Your procurement process prefers adding capabilities to existing suppliers rather than creating new vendor records.

Limitations & Considerations

Region Coverage is Focused (EU/UK/AU Today):
SambaNova’s sovereign partner network is explicitly focused on key regions like the EU, UK, and Australia. If you need in-country deployments elsewhere, you may require:
- On-prem SambaRack deployments in your own data centers, or
- New sovereign partnerships that SambaNova can help cultivate alongside your organization.
Partner Catalog & Model Availability Can Differ by Region:
While the stack is consistent (SambaRack + SambaStack + SambaOrchestrator + OpenAI-compatible APIs), specific model sets or service tiers may vary by partner and regulatory context. Work with SambaNova and the partner to:
- Confirm which models are available in each region,
- Align on any restrictions for particular sectors (e.g., public sector, defense),
- Plan for model updates and expansions over time.

Pricing & Plans

Pricing for sovereign and in-country deployments is typically structured as a managed service or cloud-like model, rather than raw hardware sales. The exact structure is defined with each partner, but generally falls into two patterns:

Capacity-Based Sovereign Inference (Managed Service / IaaS):
- Billed by provisioned capacity (e.g., tokens/sec, concurrent sessions) and/or usage (tokens generated).
- Often includes infrastructure, orchestration, and base operations as part of the service fee.
- Best for teams that want to consume sovereign inference like a cloud region, without managing racks themselves.
Dedicated or Hybrid Sovereign Deployment:
- Dedicated SambaRack capacity (SN40L-16, SN50) reserved for your organization within the sovereign data center.
- May be combined with on-prem deployments you operate, using SambaOrchestrator across both.
- Best for organizations with strict isolation requirements, consistent high volume, or hybrid data center strategies.

Within those patterns, you’ll typically see two commercial profiles:

Sovereign Cloud / Shared Region Plan:
Best for organizations needing flexible capacity in-region, with variable demand and faster time-to-deploy. You consume from a shared but compliant sovereign pool operated by the partner.
Dedicated Sovereign Tenant Plan:
Best for large enterprises or public sector agencies needing dedicated hardware footprints and custom SLAs. You effectively get your own SambaNova-backed slice of the sovereign cloud.

For detailed pricing, throughput tiers, and SLAs, you’ll need to engage directly with SambaNova and/or the relevant sovereign partner.

Frequently Asked Questions

Which SambaNova products are actually running inside these sovereign deployments?

Short Answer: Partners run SambaNova’s full inference stack: RDUs inside SambaRack systems, orchestrated by SambaOrchestrator, serving models through SambaStack and OpenAI-compatible APIs.

Details:
In EU, UK, and Australian sovereign sites, the underlying hardware is SambaNova’s RDU-based systems (e.g., SambaRack SN40L-16 for low power, SambaRack SN50 for fast agentic inference). SambaStack provides the runtime for model bundling and execution, while SambaOrchestrator handles autoscaling, load balancing, monitoring, and model lifecycle. From your perspective, you interact via OpenAI-compatible APIs exposed by the partner, but the entire chain from chips to models is SambaNova.

How hard is it to migrate from an existing OpenAI / GPU-based stack to a SambaNova sovereign partner?

Short Answer: Migration is straightforward for most teams because SambaNova’s APIs are OpenAI-compatible and optimized for model bundling and agentic workflows.

Details:
SambaNova’s inference is explicitly designed to minimize switching cost. If your current applications are built against OpenAI-style APIs, you usually:

Change the endpoint URL to the partner’s SambaNova-powered sovereign endpoint.
Swap credentials for the new environment.
Adjust model names to the ones offered (e.g., Llama, DeepSeek, gpt-oss variants).

Behind the scenes, you gain performance benefits (tokens/sec, tokens/watt) from the RDU architecture and three-tier memory without re-architecting your agent loops. For more complex multi-model and tool-driven workflows, teams often take the opportunity to consolidate models via SambaStack’s model bundling, reducing the “one-model-per-node” dependencies they had with GPU-based infrastructure.

Summary

SambaNova’s sovereign and in-country deployment network in the EU, UK, and Australia gives you a practical way to run frontier-scale, agentic AI in compliance with local data and sovereignty requirements. By pairing regional partners like Infercom (EU), Argyll (UK), and Australian sovereign data center providers with SambaNova’s full chips-to-model stack—RDUs, SambaRack systems, SambaStack, and SambaOrchestrator—you get:

Sovereign inference endpoints within national borders.
High-throughput, energy-efficient agentic inference optimized for multi-model workflows.
OpenAI-compatible integration that lets you port existing workloads in minutes.

Whether you start from SambaNova or directly with a regional partner, procurement and deployment follow a predictable pattern: define workload and compliance needs, map to the right sovereign partner and capacity profile, then integrate via familiar APIs.

Next Step

Get Started