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EDGE AI · v4.2
SOC 2 · ISO 27001

INFERENCE AT THE EDGE

Deploy models to 312 edge regions

Vektor turns a trained model into a global, sub-50 ms API in one command. No clusters to babysit, no cold starts to apologise for.

★★★★★★★★★★

4.9 / 5 from 2,400 engineering teams

VK-9 neural core
Network graph
Compute bars

// 01 — Platform

One runtime for every model

Bring a checkpoint, get an endpoint. Vektor compiles, shards and ships your model to the edge in the time it takes to push a commit.

Compiled, not containerised

Graphs are fused and quantised per GPU family before they ship.

312 edge regions

Requests are answered by the closest warm replica, always.

Private by default

Weights never leave your tenancy. Keys rotate every hour.

Zero cold starts

Snapshots resume in 8 ms.

Multi-model graphs

Chain embeddings, rerankers and LLMs.

Live autoscaling

From zero to 40k RPS without a config change.

Confidential compute

Enclaves on every H100 node.

  • PyTorch, JAX, ONNX, GGUF
  • OpenAI-compatible API
  • Streaming + batching
  • Per-token billing
  • Terraform provider
  • EU-only data residency

Vektor core

Compile

Kernel fusion and INT4 quantisation, per chip.

Distribute

Replicas pinned to 312 regions by demand.

Serve

Speculative decoding on every request.

Observe

Every token traced, every dollar counted.

Protect

Enclaves, audit logs and per-tenant keys.

  1. vk init

    Point at a checkpoint or a Hugging Face repo.

  2. vk build

    Compiled and quantised for every target chip.

  3. vk deploy

    Live in 312 regions in under a minute.

  4. vk watch

    Traces, costs and drift in one console.

// 02 — The lab

VK-X

A neural core that thinks in parallel

4.1 petaflops per rack.

SIGNAL_ACQUIRED::0xVK9

Built for impossible workloads.

Old way: cold starts — gone.

Latency you can actually feel

Keys that stay yours

The VK-X neural core
Edge topologyEdge mesh
Orbital scheduler
VEKTOR · EDGE AI · 312 REGIONS ·
Visual signal

↑ a different render on every visit

// 03 — Telemetry

Numbers that do not blink

Pulled live from the public status API. The chart below is last quarter; the clocks are where our on-call engineers are right now.

41 ms

p99 latency

312

edge regions

9,400 M

tokens / day

99.99%

uptime

Requests per second (thousands)

012.52537.550JanFebMarAprMayJunJulAug
InferenceEmbeddings

Workload mix

9.4B
LLMVisionSpeechOther
87%

GPU utilisation

Frankfurt

96%

Tokyo

88%

São Paulo

74%

Virginia

91%

Berlin

00:07:06

Tokyo

07:07:06

San Francisco

15:07:06

VK-X general availability in

67days
21hours
52min
53sec

// 04 — Media wall

See it, spin it, scrub it

Every way Marfilo can show a picture, a video or a sound — themed for a console.

The Vektor console
RenderedWireframeMeshRender
VK-9 boardTensor cores2,048 INT4 units4.1 PFHBM3e192 GB at 8 TB/sNVLink bridge1.8 TB/s to the next card
Routing mesh
Hover to inspect the routing mesh
Pulse
fig. 1 — the pulse encoder
Circuit board

The fastest path from checkpoint to production

Compile, ship and scale in one command.

See how
Quantum orbit

VK-X, the parallel neural core

Available December 2026.

Join the beta
Signal waves

Streaming at wire speed

Tokens out before the request finishes arriving.

Benchmarks
Orbit

Orbital scheduler

Jobs follow the cheapest sunlight.

Learn more
Compute

Compute fabric

Every rack speaks to every other at 1.8 TB/s. Your model does not know where one GPU ends.

Specs
Transformers, explained in 27 minutes
Transformers, explained in 27 minutes

Boot chime — vk-sound-01.wav

Vektor Labs · Berlin, Kreuzberg

Keynote: intro to large language models — keeps playing in the corner when you scroll

// 05 — Developers

Three lines to production

The CLI, the SDK and the API speak the same language. Pick the one you like.

Deprecation

The v3 REST endpoints retire on 1 March 2027. The v4 SDK is a drop-in.

Install and deploy

bash
1$ curl -fsSL https://get.vektor.dev | sh
2$ vk login
3$ vk deploy ./llama-3-8b --regions all
4
5✔ compiled for H100, L4, MI300  (41s)
6✔ live in 312 regions
7→ https://llama-3-8b.vektor.run

Call it from anywhere

from vektor import Client
vk = Client()
print(vk.chat("llama-3-8b", "Hello edge"))

import { Vektor } from "@vektor/sdk";
const vk = new Vektor();
await vk.chat("llama-3-8b", "Hello edge");

curl https://api.vektor.run/v4/chat \
  -H "Authorization: Bearer $VK_KEY" \
  -d '{"model":"llama-3-8b"}'

Limits and regions

ModelContextTokens/sRegions
llama-3-8b128k1,420312
mixtral-8x22b64k610188
vk-embed-28k48,000312
whisper-large-v4—90× realtime140

Nothing matches your search.

Questions engineers ask

Can I bring my own GPUs?
Yes. Install the vk-agent on any node with a supported card and it joins your private region.
What happens during a region outage?
Traffic fails over to the next-closest warm replica in under 200 ms.
Do you train on my data?
Never. Prompts and completions are not stored unless you turn on tracing.
Show the full changelog for v4.2

Speculative decoding on by default · INT4 for MI300 · 38% faster snapshot restore · new São Paulo and Lagos regions.

// 06 — Journal

Notes from the lab

Straight from the blog — this carousel is the Post list module, filling one card design with every post.

No lab notes yet.

// 07 — Pricing

Pay per token. Nothing else.

Start free, scale without talking to sales. Switch billing below.

2 months free

Hobby

$0

/ month

  • 1M tokens included
  • Community support
  • 3 regions
Start free

Enterprise

Custom

  • Dedicated racks
  • Bring your own GPUs
  • SSO + audit logs
  • 24/7 on-call
Talk to us

Hobby

$0

/ year

  • 12M tokens included
  • Community support
  • 3 regions
Start free

Enterprise

Custom

  • Dedicated racks
  • Bring your own GPUs
  • SSO + audit logs
  • 24/7 on-call
Talk to us
HobbyBest valueScaleEnterprise
Edge regions3312312 + private
Private models
Confidential compute
SSO & audit logs
SupportCommunityEmail24/7 on-call
Store

Credit packs

Starter pack$9

10M tokens, never expire

Builder packHot$79

100M tokens + priority queue

GPU-hour bundle$149

50 H100 hours for fine-tuning

SOC 2 Type II

Audited yearly

Encrypted

AES-256 at rest

EU residency

Frankfurt + Paris

99.99% SLA

Or credits back

Account

Console sign-in

Your stack is empty — add a credit pack.

// 08 — Crew

Built by people who hate latency

Ex-compiler engineers, SREs and one very patient physicist.

Ada Lindqvist

Ada Lindqvist

CEO · ex-XLA compiler

Shipped the first INT4 kernel that nobody could tell apart from FP16.

Kai Okafor

Kai Okafor

CTO · distributed systems

Believes every millisecond is a bug report nobody filed yet.

Noor Rahman

Noor Rahman

Head of research

Physicist turned scheduler whisperer. Owns the orbital planner.

★★★★★★★★★★

We moved 40 models off our own cluster in a weekend. p99 dropped from 380 ms to 44.

Lin Wei

Lin Wei

Staff ML engineer, Datum

The edge is not a place. It is a latency budget.

Kai Okafor, CTO

Changelog of a company

2023

fork()

Three compiler engineers leave a big lab.

2024

First edge region

Frankfurt. One rack. 11 customers.

2025

Series B

$120M to put a GPU near everyone.

2026

VK-X

Our own neural core, fabbed at 3 nm.

Meet us

October 2026

14Oct

Edge AI Summit

09:30Berlin

Keynote: the VK-X architecture.

RSVP

November 2026

6Nov

Latency Night #7

19:00Vektor Labs, Kreuzberg

Lightning talks and cold drinks.

RSVP

December 2026

1Dec

VK-X launch stream

17:00Online

Live benchmarks, no slides.

RSVP

On-call hours (CET)

  • Monday – Friday08:00 – 20:00
  • Saturday10:00 – 16:00
  • SundayClosed

Enterprise plans get a human 24/7.

// 09 — Contact

Open a channel

Tell us what you are running. An engineer — not a salesperson — answers within one working day.

Encrypted in transit. We never share your email.

Prefer a terminal?

Open a ticket straight from the CLI with vk support new, or write to hello@vektor.dev.

  • Status: all systems nominal
  • Security: security@vektor.dev (PGP)

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Ship your first model before the coffee cools

Free tier, no card, 312 regions. The CLI installs in four seconds.

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