Agentic AI,Re-engineered.
Agentic AI up to 10× faster at up to 90% lower cost, on UK-sovereign RDU hardware. Put a ceiling on your inference bill – without re-architecting, and without your data leaving the country.
60-second assessment – see your estimated AI spend and where to cap it.
Powered by RDU technology · SambaNova exclusive partner
As featured in
The cost of running AI is exploding.
Inference – running the models, not training them – is the bill now. Capping it isn't optional.
Worldwide AI spend in 2026 – up 47% in a single year
Spent running inference in 2026 – more than double 2025's £6.96B
Of agentic-AI projects scrapped by 2027 – over runaway cost
Source: Gartner, 2026
Nothing kills an AI project faster than
the first month's invoice.
Chatbots were cheap. Autonomous agents are a black hole of hidden cost and wasted hardware. One user request sparks dozens of sequential model calls – and each reasoning loop leaves expensive, high-tier GPUs idle, waiting for the next step or choking in queues. You pay peak enterprise rates for infrastructure you barely use. If you can't predict compute efficiency per task, you can't scale.
Of an AI model's lifetime compute cost is inference, not training
You pay for every token, every step, forever.
Typical GPU utilisation in production inference
You rent the whole card. You use a third of it.
Cost and speed
GPUs were built to train models in batches, not to serve agents in real time. Memory-wall stalls, low utilisation and per-token billing mean you pay premium rates for hardware that spends most of its time waiting.
- Latency that stacks up across every agent step
- Per-token pricing that scales against you
- Cards rented whole, used in fractions
Where your data lives
The lowest-cost GPU capacity sits in US hyperscale regions – and so does your data the moment you call it. For regulated, public-sector and UK enterprise workloads, that's a governance problem you can't optimise away.
- Data crossing borders to reach the model
- Exposure to foreign jurisdiction and law
- Compliance teams blocking production rollout
Widely-cited industry estimates, shown for illustration. Your actual numbers are the ones that matter – that's what the cost review is for.
Faster agents. A fraction of the cost. Data that never leaves the country. Argyll delivers all three.
We didn't optimise the GPU.
We replaced it.
Argyll Data runs on a Reconfigurable Dataflow Unit (RDU) – the SambaNova SN40L architecture, deployed sovereign in the UK. Instead of streaming weights back and forth across a memory wall, the whole model stays resident and the chip reconfigures itself around your workflow. For agentic inference, that means higher speeds and lower costs.
In plain English
Purpose-built UK hardware runs your AI agents more economically and faster than renting cloud GPUs, and switching is a one-line change rather than a rebuild.
higher performance on agentic workflows
lower cost, driven by the hardware itself
Up-to figures, workload dependent · Powered by RDU technology – SambaNova exclusive partner
GPU vs RDU, head to head
Agentic inference- Whole model held resident – no memory wall
- Three-tier memory: SRAM · HBM · DDR
- Reconfigures around the dataflow graph
- Built for low-latency token streaming
See it run on sovereign hardware.
This is MiniMax M2.7 answering live, on our RDU hardware in Manchester. Run it yourself and watch the tokens-per-second.
Sustained throughput on RDU
MiniMax M2.7 · measured live
Time to first token
first-token latency, live
Cost per 1M output tokens
Competitor output-token list prices, converted to GBP at $1 = £0.755. Argyll figure is our published rate.
MiniMax M2.7, tokens/sec by provider
Competitor figures: Hugging Face Inference Providers, MiniMax M2.7. Argyll measured live on RDU. View on Hugging Face
Throughput and latency measured live on production RDU hardware · MiniMax M2.7. Your own workload, benchmarked on request.
Try it yourself
Run your own workload on sovereign hardware.
Create an account, point your code at our endpoint and watch the speed for yourself. Free tokens to start, no credit card.
Start free on ArgyllCloudSavings, engineered.
Audit. Architect. Accelerate. – six steps from your GPU bill to sovereign savings.
Baseline
See what AI really costs you
We map your GPU inference spend, latency and US data-residency exposure – your real numbers, not a generic estimate.
Diagnosis
Find the agentic bottleneck
Agentic workflows fan one task into dozens of model calls. We pinpoint exactly where cost and latency are multiplying.
Projection
Model your savings on RDU
We run your real workload against RDU economics and show the difference, line by line.
Migration
Switch without re-architecting
A drop-in, OpenAI-compatible sovereign inference endpoint. Keep your stack – change the base URL.
Performance
Run agents up to 10× faster
Whole-model-resident RDU hardware eliminates the GPU memory wall, so every agent step returns sooner.
Sovereignty
Stay 100% in the UK
Inference happens inside the sovereign perimeter. Your data never crosses a border or a jurisdiction.
See your numbers in 90 seconds – then a call to lock them in.
Calculate your savingsCalculate your savings.
Answer a few quick questions for a personalised cost analysis – your estimated spend, a side-by-side provider comparison, and the savings if you moved to UK-sovereign infrastructure. Takes about 60 seconds. Or skip it and we'll do it properly on the call.
Prefer to talk it through?
Book a cost reviewSovereign inference, on tap.
ArgyllCloud is the self-serve way onto RDU. No procurement, no sales cycle – create an account, point your stack at our endpoint and run agentic workloads on UK-sovereign hardware in minutes.
Instant access
Sign up and start in minutes – no procurement, no waiting on a sales cycle.
OpenAI-compatible
A drop-in endpoint. Keep your existing stack and SDKs – just change the base URL.
Pay as you go
Usage-based pricing at RDU economics. Pay only for what you run, scale when you need to.
UK-sovereign by default
Every request runs inside the sovereign perimeter. Your data never leaves the UK.
Need a dedicated or on-prem deployment? Talk to us
Your data never leaves the UK.
Argyll Data is a UK company running UK-located RDU hardware. Inference happens inside the sovereign perimeter, so your data never crosses the Atlantic and never falls under foreign jurisdiction. The fast, low-cost option is also the compliant one.
- UK
- data residency, end to end
- RDU
- SambaNova SN40L, exclusive partner
- Cloud · Dedicated · On-prem
- deploy where you need to
- SC759203
- a registered UK company
Built for regulated, high-volume AI.
Regulated engineering teams
Run coding agents – Claude Code, Cursor, Copilot-class tooling – on sovereign UK inference. Source code and prompts never leave the country, and your developers get RDU throughput without per-seat GPU bills eating the margin.
Financial services
Real-time agentic analysis and document workflows, with data that stays inside UK jurisdiction and audit.
Public sector & defence
Sovereign AI for government and defence – no foreign cloud, no cross-border data, procurement-ready.
Healthcare & life sciences
Patient and research data processed on UK soil, at a cost that makes population-scale inference viable.
Frequently asked questions.
How does MiniMax M2.7 compare with GPT-5.5 or Claude for agentic work?
MiniMax M2.7 is a 228B-parameter reasoning model built for tool-calling and multi-step agent workflows, and it holds its own against frontier models on agentic and coding benchmarks. For most agent steps – routing, extraction, tool calls, code generation – the quality difference is invisible; the invoice difference isn't. Don't take our word for it: the live demo above is the real model on our hardware.
How much work is it to switch?
Almost none. Our endpoint is OpenAI-compatible, so you keep your existing stack, SDKs and prompts – you change the base URL and the API key. Most teams are running their first workload in minutes, not months.
Where does my data actually live?
Inference runs on RDU hardware in Equinix Manchester, operated by Argyll Data – a registered UK company (SC759203). Your prompts and outputs are processed inside the UK, under UK jurisdiction. No US cloud region, no cross-border transfer, no foreign law exposure.
What is an RDU, and who are SambaNova?
The Reconfigurable Dataflow Unit (RDU) is the SambaNova SN40L – an AI chip designed for inference rather than adapted from graphics hardware. It holds the whole model resident in a three-tier memory system instead of streaming weights across a GPU memory wall, which is where the speed and cost advantage comes from. Argyll Data is SambaNova's exclusive UK partner.
How does pricing and billing work?
Pay-as-you-go token pricing: £0.60 per million input tokens and £3.00 per million output tokens on MiniMax M2.7 – invoiced in GBP, VAT included, no minimum commitment. Reserved capacity, dedicated infrastructure and on-prem deployments are priced to fit – talk to us.
Can I try it before committing?
Yes. ArgyllCloud is self-serve: create an account, get free tokens to start, no credit card required. You can also run the live demo on this page, or book a cost review and we'll benchmark your actual workload on RDU.
Do you offer dedicated or on-prem deployments?
Yes. We provision dedicated single-tenant RDU environments, reserved capacity for sustained high-volume inference, and on-prem RDU hardware inside your own perimeter for defence, public-sector and highly regulated workloads.