Lycoria GPU Service
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GPU Service

Two ways to get compute from hardware Lycoria owns and operates — rent a full machine outright, or work against our hosted models by the token. No shared tenants, no watered-down benchmarks.

Rent

Full GPU access

Rent a dedicated machine outright — your own environment, your own stack, nothing shared with other tenants. Billed by the hour, cancel any time.

NVIDIA B300 High Availability
Full root / admin access Dedicated, not shared
  • On-DemandPrice on request
  • 1 MonthPrice on request
  • 3 MonthPrice on request
Talk to us about GPU rental

How it works

  1. Tell us the workload and duration you're planning for
  2. We provision a dedicated B300 machine under your account
  3. You get full root/admin access — install anything, configure anything
  4. Billing runs by the hour for as long as the machine is yours
Token as a Service · Malaysia

API access by the token.

Lycoria is a Malaysian-owned and operated company, running six models on our own infrastructure — performing the way each benchmark promised, not watered down by a shared public endpoint. No machine for you to provision or maintain.

Lycoria infrastructure
Your applications
API key
Full GPU access
Lycoria facility
  • Six models, live
  • Inference & tuning
  • Token metering
  • Usage & logs
6
Models live today
MY
Malaysian-owned & operated
99.9%
Uptime target
24/7
Technical support

How it works

  1. 1Get an API key — no machine to provision or maintain
  2. 2Call any of the six live models through a single endpoint
  3. 3Usage is metered per token, across whichever models you use
  4. 4We handle tuning, monitoring, and uptime on our side

The roster

Six models, tuned and monitored on our own infrastructure — each one performing the way its benchmark promised, not the way a shared, oversubscribed endpoint delivers it.

Model Parameters · Context Pricing
Kimi 2.7-Code
1T–A32B
262K context
Price on request
StrengthsLarge MoE capacity with efficient active compute; reasons well across large, multi-file codebases
Best suited forAgentic coding, multi-file refactors, repo-wide reasoning
Step 3.7-Flash
198B–A11B
262K context
Price on request
StrengthsTuned for low-latency responses without giving up MoE-scale capacity
Best suited forReal-time chat, latency-sensitive customer-facing apps
MiniMax M2.5
230B–A10B
205K context
Price on request
StrengthsBalanced reasoning and generation at a cost-efficient active-parameter footprint
Best suited forGeneral-purpose assistants, retrieval-augmented generation
DeepSeek V4-Flash 0731
Flash
1.3M context
Price on request
StrengthsDistilled for speed and lower cost per call, on a current dated release
Best suited forHigh-volume lightweight tasks — summarisation, classification, extraction
Qwen 3.8 27B
27B
1M context
Price on request
StrengthsStrong multilingual grounding across Bahasa, Mandarin, Tamil and English
Best suited forMultilingual support and localisation workloads
Gemma 4 31B
31B
262K context
Price on request
StrengthsCompact and efficient, built for low-latency inference on modest hardware
Best suited forEdge and on-premise GB10 deployments, lightweight classification

Not sure which one fits?

If you need full control over the environment — custom frameworks, specific driver versions, long training runs — Full GPU access gives you the whole machine. If you just need model output and don't want to manage infrastructure, Token as a Service gets you there faster. Tell us what you're building and we'll point you to the right one.

Talk to us about your workload