Describe what you want built — out loud, in a chat, or on a screen. SARAH Code does the engineering work inside your own long-lived repo, then hands the diff back through whichever channel you started in.
Delivered exclusively over our Private Enterprise IP Network. No CLI to install, no keys to manage, no context to rebuild between sessions, and no public-internet hop between your seat and your workspace.
Built for the developer who already knows what they want — and wants the engineering done correctly, on owned silicon, in their own repo.
Two ways to run an agentic AI platform. One owns the hardware, the memory, the storage, and the network. The other rents all four from a multi-tenant vendor and reaches them over the Public Internet. The architectures are not comparable — and the spec sheets prove it.
Same agentic workload — answer a customer call, look up the CRM, book the meeting, send the email. Two completely different stacks underneath.
SARAH Spark 2 Router on the customer premise · up to 400 GE backhaul to our Data Centre · DGX GB300 there runs the LLM for every call · audio never leaves your premise · zero Public-Internet hop.
Open-source agent framework on a rented GPU instance with Public-Internet ingress.
SARAH Code answers in the channel you opened. Start a feature by voice, watch the diff land in the portal, get the result on WhatsApp or Telegram. Same workspace, same memory, same engineer.
Call your SARAH number. Describe the change. "Add a refund button to the order page, only show it to admins." SARAH confirms scope and texts you when the diff is ready.
An IDE-class workspace under your account. File tree, diff view, conversation log. Watch the work happen, accept or reject the change, push to your branch.
Message your SARAH number. Describe the task in plain language, attach screenshots or specs, get the diff back as a document. The fastest way to put SARAH Code in the hands of every operator on your team without onboarding them to anything new.
Type a task. Get a patch attachment back. Long tasks come with a progress note and a follow-up message when the work lands. Built for builders who live on their phone.
Your SARAH Code workspace is a real git repository on persistent storage in our Chicago Data Center. It survives across sessions, channels, and devices. Your prior conversations, decisions, and code all live in the same place.
Pick up where you left off. No "what were we building again?" — SARAH already knows the answer.
Filesystem and process isolation per customer. Your code is yours alone. We never train on it. We never cache it.
It is a real git repo. Push to GitHub, GitLab, your own Gitea — anywhere you want. We never lock you in.
Six layers a senior engineer ends up rebuilding the moment they pick up a raw CLI. SARAH Code ships them all in the first call.
| Capability | SARAH Code | Direct CLI / DIY |
|---|---|---|
| Voice input | Native, sub-second confirmation, callback for long tasks | Type only. No phone, no callback, no hands-free. |
| Multi-channel handoff | Voice and portal and Telegram on the same workspace | One channel at a time. Context rebuilt by you each time. |
| Long-lived repo | Persistent per customer, hosted, backed up nightly | You install, configure, backup, restore. |
| Setup time | Zero. Call the number. Speak the task. | Install CLI, set keys, configure, learn. |
| Account + identity | One SARAH login covers voice, code, integrations, smart home | Per-tool accounts, per-tool billing, per-tool keys. |
| L1 support | Human support on the SARAH side, plus SARAH herself walks you through it | Docs and a community Discord. |
Every tier is delivered over Private Enterprise IP Network connectivity. Zero public-internet hops between you and your workspace.
For teams who build software for a living.
For organizations who need sovereign, isolated, regulated-industry-grade software engineering at scale.
Compute, memory, storage, network, security, sovereignty, cost. Every layer of an AI platform measured against its real-world counterpart.
| Layer | SARAH AI Suite (NVIDIA DGX GB300) | OpenClaw / Hermes on a Public-Cloud VPS |
|---|---|---|
| Edge / DC architecture | On-prem SARAH Spark 2 Router handles the voice path locally · DGX GB300 in our DC handles inference · up to 400 GE between them · audio never leaves the premise | Everything on one rented GPU in someone else's region · every stage contends for the same VRAM slot |
| GPU silicon | 72× NVIDIA Blackwell Ultra · GB300 full rack · Light Matter chips & switches · LLM-only workload | 1× shared instance GPU · whatever the cloud vendor schedules you |
| VRAM (total) | 20 TB HBM3e · single coherent pool | 16–80 GB on the instance · ends at the box boundary |
| VRAM (per call) | 3 GB dedicated · isolated to that conversation · zero contention | No per-call allocation · whatever the runtime scrapes from a shared pool |
| Memory bandwidth | 576 TB/s aggregate | ~2–3 TB/s peak per GPU · degrades under noisy-neighbour load |
| Model storage | Local NVMe · ~670 GB Deep Thinker + ~244 GB Doer · loaded once, served forever | Cloud block storage or HuggingFace pull at boot · re-downloaded on instance restart |
| Per-call working memory | 128K-token context window held in dedicated VRAM for the life of the call | Context window survives only as long as the shared GPU lets it |
| Backbone network | Up to 400 GE from SARAH Spark 2 Router to DGX GB300 · Private Enterprise IP Network · physical fibre interconnect | Shared cloud-vendor fabric · TCP over the open internet for anything external |
| Public-internet exposure | None. The platform is unreachable from the open web by design. | Public IPs · open ports · part of the cloud-vendor's blast radius |
| External-vendor reach | Direct peering with Google Cloud, AWS, Azure, Cloudflare · private interconnect, no public hop | Public-internet egress to every service, even same-cloud APIs unless you build VPC peering yourself |
| Inference latency | Sub-400 ms first-word · streaming TTS · parallel sentence synthesis | Variable: cold-start + queue + cloud-network hops + shared GPU contention |
| Tenant model | Single-tenant · the silicon is physically yours | Multi-tenant · your conversation shares hardware with arbitrary strangers |
| Data sovereignty | 100% on your premises (or our PEIPN) · data never crosses borders unless you say so | Vendor terms govern what they do with your prompts and outputs |
| Cost model | Buy once, own forever · zero per-token meter · zero per-block charge | Per-token, per-second-GPU, per-egress-GB · the meter never stops |
| Vendor lock-in | None. The hardware and the software are yours; open-source LLMs fine-tuned in-house. | Cloud vendor + framework vendor + occasional model vendor — three locks per workflow |
| Failure domain | A single rack you can see · 394 restore points · 200 kW EMG off-grid power | A region in someone else's data centre. Their outage is your outage. |
| Compliance posture | SOC 2 / ISO 27001 / GDPR / CCPA / HIPAA / PCI DSS · examiner-ready audit trail | Inherits cloud-vendor SOC 2 + your own scaffolding · audit trail you have to build |
Up to 400 GE backhaul between the on-prem SARAH Spark 2 Router and our Data Centre. Only the prompt and response text traverse the long-haul link — your audio never leaves your premise. No Public-Internet hop. No shared pipe.
SARAH AI Suite's Private Enterprise IP Network terminates directly into the four interconnect fabrics that run most of the world's cloud workloads. When SARAH needs to read a Google Sheet, post to an S3 bucket, hit an Azure Cognitive endpoint, or push through Cloudflare — none of those packets touch the open internet. They ride a private cross-connect.
The OpenClaw / Hermes VPS comparison: a public IP, a TCP egress over a shared cloud fabric, a Public-Internet hop to every external dependency, and a full attack surface that the public web can probe at will. Same workload. Two universes of risk.
An open-source agent framework on a rented GPU is "free" the way a treadmill at a gym is free — you pay for everything attached to it. SARAH AI Suite does not have a meter to attach.
| Cost item | SARAH AI Suite | OpenClaw / Hermes on a VPS |
|---|---|---|
| GPU instance time | Included · the silicon is yours | Per-second meter · 24/7 to keep the agent warm |
| Token throughput | No per-token meter · run it as hard as the silicon will go | Per-token bill if you use a hosted LLM behind the framework |
| Egress bandwidth | Direct peering · effectively flat-rate inside the PEIPN | Per-GB egress meter to every external destination |
| Storage I/O | Local NVMe · no IOPS bill | Per-GB-month + per-IOPS on cloud block storage |
| Idle cost | Zero. Idle silicon is silicon you already own. | The VPS is billing the moment you spin it up — even at 3am with nobody calling |
| Year-3 cost trajectory | Maintenance only ($300K/yr Enterprise · $3M/yr DC) | Same line items, same meters, three more years of inflation |
If you are already on SARAH AI Suite, SARAH Code shows up in your portal sidebar the day after we activate it for you. If you are new, the fastest path is to book a call with the creators — we will tell you whether SARAH Code fits the way you build.