VectorCompute Developer
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Accelerated computing, without the chaos

Build faster AI inference, ship safer GPU workloads.

VectorCompute is a modern developer portal for GPU-accelerated apps: SDKs, runtimes, observability, and deployment tools — designed for speed, correctness, and operational sanity.

Download SDK Read documentation
8ms
p95 runtime latency
99.99%
edge availability
0
vendor lock-in claims
Runtime Observability Deploy
GPU Utilization
steady-state · 78%
Inference
1.42M
requests / min
Cache hit
93.1%
tensor reuse
quickstart 
vc install sdk
vc auth login
vc deploy --target edge --runtime vcrx

Preview is illustrative. This site is a static landing page — no tracking, no fingerprinting.

Platform

Clean primitives for production GPU workloads: predictability, introspection, and boring reliability.

Runtime Core

Low-overhead execution with deterministic scheduling and safe defaults.

  • Latency budgets & queue control
  • Memory pooling & reuse
  • Failure isolation

Observability

Metrics that actually help: traces, GPU counters, and SLOs you can defend.

  • p50/p95/p99 with histograms
  • GPU + CPU correlation
  • Alert fatigue reduction

Secure by design

Strict headers, sane CSP, and no “mystery scripts” by default.

  • Content Security Policy
  • Clickjacking protection
  • Least-privilege posture

SDK

A premium DX: zero drama, great docs, and fast iteration loops.

Install

Choose the path that matches your workflow.

curl -fsSL https://example.com/install.sh | sh
vc --version
vc init

Replace example.com with your own distribution endpoint.

Compatibility

Designed to keep choices open (because ecosystems evolve).

APIs
REST / gRPC-ready patterns
Targets
edge / region / on-prem
Security
token-based auth patterns
Performance
cache-first deployment
Tip: Keep admin panels off your public landing domain. Serve your marketing site separately and protect operational surfaces.

Documentation

Readable, searchable, and intentionally boring (in a good way).

Quickstart

Set up a project, deploy a runtime, observe metrics, and roll back safely.

Start here →

Security

Headers, CSP guidance, safe embedding rules, and recommended policies.

View policies →

Operations

Monitoring, alerting, incident response checklists, and runbooks.

See benchmarks →

Benchmarks

Numbers are context-dependent; we publish methodology, not marketing magic.

Workload Batch p95 Throughput Notes
Text Inference 16 8–12ms 1.4M/min Cache warm, stable load
Vision Pipeline 8 21–34ms 310k/min Mixed precision
Streaming 1 sub-50ms real-time Jitter-managed

This is a static demo. Replace values with your real measurements once you wire actual systems.

Status

A transparent posture looks more legit than cosplay.

All systems operational
No incidents reported in the last 24 hours.
Security headers enabled
CSP, HSTS, XFO, nosniff, permissions-policy.
Privacy-friendly
No third-party trackers in this template.

Want a multi-page version?

We can split this into /docs, /blog, /support with clean routing on Pages.

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