Synapse Node AI Workstation

Name: Chillblast Synapse Node AI Workstation
Brand: Chillblast
SKU: CB-AI-001
Price: 8499.99 GBP
Availability: InStock

Built and delivered in 5-7 days

Synapse Node AI Workstation

Built and delivered in 5-7 days

£8,499.99

Finance available with Dopple

Buy Story Specs Warranty Finance

£8,499.99

Finance available with Dopple

Built for one thing.

Most local AI infrastructure is about escaping the cloud. The Node is bigger than that. It's the machine that gives one technical operator everything they need, without ever sending another prompt to a billable API.

At its heart is the RTX PRO 4500 Blackwell — 32 gigabytes of GDDR7 ECC memory, with the bandwidth to keep production-class open models running fast enough that you stop thinking about latency.

This is what it looks like when your work stops being a line item on someone else's billing page.

Serious local inference

Run the models that matter, at 273 tok/s per second across 4 concurrent on Qwen3-8B-FP8. No API required.

Production speed

The RTX Pro 4500 Blackwell runs the world's most capable models, locally and at speed.

Private by default

Running on hardware that belongs to you means no usage limits, and no data leaving your network.

Our support service helps you get up and running, from hardware to your first models

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Capability

Built for your workload

The RTX Pro 4500 Blackwell features 32GB of GDDR7 ECC memory, 896 GB/s bandwidth, and fifth-generation Tensor Cores. It was specified to run the models serious teams actually use, at the concurrency serious teams actually need. That decision shapes what Node is.

Scale with speed

Your whole team, running simultaneously, getting instant responses.

On a 4 billion parameter model, Chillblast Synapse Node delivers 874 tokens per second across 16 concurrent requests. Aggregate throughput scales with every user you add.

What it runs

What you can actually run on a Node, at what precision, at what speed. Single-user sustained throughput; concurrent figures use vLLM-style batching.

Inference

Model	Precision	VRAM	Tokens / sec	Concurrent users
Llama 3 8B Drafting, agents, light reasoning	FP16	~16 GB	~180	32
Qwen 2.5 14B Coding, agents	FP16	~28 GB	~120	12
Llama 3 32B Production reasoning · the sweet spot	Q8	~34 GB	~55	4
Llama 3.3 70B	Q4	~40 GB	~15 · partial offload	1
Llama 3.3 70B	FP8 / FP16	70+ GB	won't fit · step up to Nexus

Fine-tuning

Task	Method	Time
LoRA fine-tune, 8B model	—	~2 hours
LoRA fine-tune, 32B model	—	~10 hours

Image generation

Stable Diffusion 3 / Flux FP16 · ~24 GB VRAM · ~1.2s per image · ~2,400 images / hour

How you'll use it

A model that knows your business

Foundation models know almost nothing about you. For good reason.

Every prompt leaves the building, and every experiment has a cost attached. Synapse Node is built for the point where that stops making sense.

Your models run locally, privately, on hardware you own. No dependency on a service that can change its pricing tomorrow.

Data sovereignity

Every inference call, every training run, every fine-tune checkpoint processed and stored on hardware inside your network perimeter.

Your model weights don't touch a third-party GPU. Your training data doesn't transit a cloud region. Your prompts aren't logged by a provider whose retention policy you don't control.

No data processor agreements. No third-party sub-processors. No exposure.

Data agents

Connect a local model to your reporting stack and get insights, summaries, and anomaly detection without sending your data anywhere.

Employee agents

A private assistant trained on your documents and processes, enabling your whole team to get answers to anything, immediately.

Security agents

A local model that monitors your systems, flags anomalies, and responds to threats without routing sensitive data through an external API.

Customer agents

Trained on your products, policies, and customer history that handles requests and surfaces trends entirely in-house.

Development agents

Generate, review, and document code that actually fits your stack, so you can launch and scale quicker.

Creative agents

Generate, iterate, and review on-brand text and images locally, trained on your brand voice and visual identity.

From operating expense to capital asset

The Node is sized for one technical operator. At typical usage, it pays for itself inside a year — and the saving compounds every year after.

Typical Node operator Solo developer or researcher, heavy use of Claude / GPT for daily work, plus occasional cloud GPU for experiments.
Claude Sonnet 4.6 API spend (heavy use) ~£400 / month	£4,800 / year
ChatGPT Team or equivalent £25 / user / month	£300 / year
Occasional cloud GPU for experiments ~60 hours / month on RunPod H100	£1,370 / year
Total annual spend Node displaces	£6,470 / year

Node payback in this scenario: ~15 months.

Heavier API usage shortens that materially — operators on £700–1,000/month combined API spend hit payback in 8–11 months.

Private as a fundamental

Yours alone

Most AI work happens on borrowed infrastructure. Every prompt leaves the building, and every experiment has a cost attached.

Node is built for the point where that stops making sense. Your models run locally, privately, on hardware you own. No dependency on a service that can change its pricing tomorrow.

Graphics card RTX Pro 4500 Blackwell

Almost everything about AI performance comes down to a specialist graphics card. How large a model you can run. How fast it generates. Whether a training run that takes hours arrives at the end intact. The RTX Pro 4500 Blackwell carries 32GB of ECC GDDR7 memory - enough to run enough to run 8B–14B parameter models at full precision, with error-correction built in as standard.

Speed 896 GB/s of memory bandwidth

Inference speed for large models is almost entirely a function of how quickly the GPU moves model weights into position. The RTX Pro 4500 Blackwell delivers 896 GB/s of memory bandwidth - enough to run 30B models at ~55-80 tokens per second.

Memory 96GB of DDR5-6000

Model weights live on the GPU. Everything around them - datasets, preprocessing pipelines, the orchestration layer that holds a multi-agent system together - runs through system memory. The Node ships with 96GB of DDR5-6000 across two 48GB modules. None of it becomes a bottleneck.

Processor Ryzen 9 9950X3D2

The Ryzen 9 9950X3D2 handles everything the GPU doesn't - data loading, tokenisation, the preprocessing work that sits upstream of every inference call. Sixteen cores, dual 3D V-Cache. Fast enough that the GPU is never waiting.

Storage Dual model and OS drives

A 30B model at full precision occupies around 60GB on disk. The Node ships with a dedicated WD SN850X 4TB model storage drive alongside a Samsung 9100 Pro 2TB OS drive - room for a working library of models and datasets, with space to spare.

Errors caught before they reach your model

Error-correcting memory built for model training that can't afford to fail.

Silent memory errors aren't caught by consumer hardware, and can invalidate a result without warning. You won't know until it's too late.

Error-correcting memory detects and corrects single-bit errors in real time. Every byte that passes through is checked, and every error is fixed. Automatically. In real time.

Space reserved for your models

Your models and your system each get a dedicated drive. Fast storage where it matters, headroom where you need it, and nothing competing for bandwidth.

OS drive

Keeps the system fast. Applications load instantly, pipelines initialise without delay.

Model drive

A dedicated home for your models, datasets, and checkpoints. Room for a working library, with space to spare.

Support

Supporting your configuration

Choosing the right AI infrastructure is a technical decision. Our team understands the workloads, the models, and the tradeoffs, and can help you get from first question to running inference, without the guesswork.

There when you need it

When hardware is part of your production stack, downtime has a number attached to it.

Hand-built and manually tested

Every Node is burned in and benchmarked by our engineers before it leaves us. It arrives ready to get to work.

Not sure where to start?

Speak to us before you configure. No obligation - just a conversation about whether the Node is the right tool for what you're building.

Configuration support service

Getting a workstation running is one thing. Getting it running the right models, configured for your team's workflows, with inference serving that's ready for production is another.

Our setup service covers the full stack. You tell us what you need to run. We make sure it runs.

£999.99

Hardware commissioning

Software environment

Model selection

Model deployment

Testing and benchmarking

Find the right machine for your team

Three machines, one architecture. Node for the individual operator who needs serious local inference. Nexus for the team that needs shared infrastructure at scale. Frontier for the team shipping AI into production.

The right one depends on the models you need to run, the concurrency you need to support, and the workloads you can't afford to send to the cloud.

Compare

Synapse Node AI Workstation

£8,499.99

From £215.69 per month

CPU

AMD Ryzen 9 9950X3D2

Graphics Card

NVIDIA

Storage

6TB SSD

RAM

96GB DDR5

Compare

Synapse Nexus AI Workstation

£20,999.99

From £382.28 per month

CPU

AMD Ryzen Threadripper 9980X

Graphics Card

NVIDIA

Storage

6TB SSD

RAM

128GB DDR5

Compare

Synapse Frontier AI Workstation

£39,999.99

Finance available

CPU

AMD Ryzen Threadripper PRO 9995WX

Graphics Card

NVIDIA

Storage

18TB SSD

RAM

256GB DDR5

Specifications

Chillblast Synapse Node AI Workstation

Processor (CPU)

AMD Ryzen 9 9950X3D2
16 Cores | 32 Threads
Base Frequency: 4.3 GHz
Boost Frequency: 5.6 GHz

CPU Cooler

360mm AIO Liquid Cooler
Chillblast Cryo Storm DT360 ARGB
3 x 120 mm Fan(s)

Motherboard

ASUS ProArt X870E-Creator WiFi
AMD X870E Chipset

Network

Ethernet Marvel: Up to 10 Gbps
Intel: Up to 2.5 Gbps
6500 Mbps WiFi
Bluetooth 5.4

Graphics

NVIDIA RTX PRO 4500 Blackwell
32GB VRAM

Memory (RAM)

96GB DDR5 6000MT/s
2 x 48GB Modules
Latency CL32

Case

Fractal Meshify 3 XL Ambience Pro RGB
Black
Tempered Glass Side Panel

Physical Dimensions

Width: 245mm
Height: 575mm
Depth: 515mm

Front Ports

1 x USB-C 3.2
2 x USB 3.0
1 x 3.5mm COMBO Jack - Headphone
Shared with Headphone - Microphone

Operating System

Microsoft Windows 11 Home

Power Supply

Corsair RM1000e
1000W

Warranty

5 Years Includes:
3 Years On Site
2 Years Labour
UK Mainland*

Storage

Rear Ports

2 x USB-C 4
1 x USB-C 3.2
7 x USB 3.1
1 x USB 2.0
1 x 3.5mm Jack - Line Out
2 x RJ-45 Ethernet

Solid State Storage (SSD)

Samsung 9100 PRO
PCIe 5.0 x4 NVMe
Western Digital Black SN850X
PCIe 4.0 x4 NVMe

Stock Code

CB-AI-001

Industry-leading 5 year warranty

We’re proud of how much customers love and trust us, and that’s why your PC is protected by an industry-leading 5 year warranty. So just in-case anything goes wrong, we’ve got you covered.

The first 3 years warranty covers parts and labour – we’ll collect your system, repair it and replace any parts as necessary, and return it to you free of charge. The final 2 years covers labour costs on a return to base basis.

Finance options

It's simple to pay monthly with Chillblast. We offer financing on orders over £1,000, powered by Dopple.

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Chillblast Limited is a credit broker, not a lender. We are authorised and regulated by the Financial Conduct Authority (FRN 1018196). We will introduce you to Social Money Ltd trading as Dopple (FRN: 675283) who will provide you with access to a panel of lenders who may be able to offer you finance facilities for your purchase.