Pre-Order Allocation · Dispatches by Diwali or when 100 drives are reserved

128 GB Brushed Metal Drive

Velora Pro

The Sweet Spot for Modern PCs & Power Users

₹3,999 ₹4,999 Save ₹1,000

Pay ₹2,000 now to reserve · ₹1,999 balance on dispatch.

Velora Ultra

Looking for Mac Studio M-Series payloads? Velora Ultra unlocks at Batch 01 (100 drives).

Drive Storage Allocation 26.3 GB / 117 GB usable (128 GB drive)

Leaves 90.7 GB free space for personal offline files, notes, and documents.

50% deposit locks your pre-order unit. Dispatches by Diwali or as soon as 100 drives are reserved. Balance requested only before dispatch.

  • Free India ShippingTracked delivery from Mumbai / Ahmedabad
  • 1-Year Replacement WarrantyHardware faults replaced directly with no hassle
  • 100% Offline & PrivateZero analytics, zero telemetry, no cloud accounts

About This Edition

Engineered for Developers.

The definitive edition for 16 GB machines with discrete NVIDIA RTX or Radeon graphics. Pro features Qwen 3.5 9B chat and Qwen 2.5 Coder 14B alongside high-speed local image generation via FLUX.1 Schnell.

Velora Pro hits the architectural sweet spot of modern laptops and creator desktops. It delivers deep, nuanced answers with sophisticated problem solving while generating 30–55 tokens per second on mid-range GPUs.

Packed with 9B and 14B parameter flagship weights, Pro handles complex research synthesis, multi-file code generation, technical document extraction, and multimodal image inspection with remarkable fluency.

Pro also includes local FLUX.1 Schnell generation pre-calibrated to run on 6–8 GB VRAM, allowing you to create photorealistic images offline in 4 steps with zero subscriptions.

Pre-Calibrated Golden Loadout

What runs inside Velora Pro.

Every model on the drive is Apache-2.0 open-weight licensed, quantized with zero precision compromises, and tuned to run entirely on your local hardware.

Flagship Chat & Vision

Qwen 3.5 9B Instruct + Vision

9.2 Billion · Q4_K_M + F16 Vision Projector · 65,536 tokens

Nuanced conversational reasoning, long-context analysis, and chart/image parsing.

Advanced Code Engineering

Qwen 2.5 Coder 14B Instruct

14.7 Billion · Q4_K_M · 65,536 tokens

Elite programming model for end-to-end multi-file generation, debugging, and architecture.

Photorealistic Image Synthesis

FLUX.1 Schnell (4-Step Studio)

12.0 Billion architecture · Q4_K_S + T5-XXL (Q4_K_M) + CLIP-L + AE · 1024x1024 px

State-of-the-art 4-step image synthesis engine running entirely on local GPU.

Semantic Document Search (RAG)

Nomic Embed Text v1.5

137 Million · F16 · 8,192 tokens

High-density vector embeddings for local knowledge base and PDF indexing.

Speech-to-Text (Voice-In)

Whisper Base.en

74 Million · GGML (whisper.cpp) · 30 sec continuous chunks

Accurate offline speech transcription for voice commanding and note-taking.

Hardware Requirements

What your computer needs.

Minimum RAM16 GB RAM
Recommended RAM16 GB – 32 GB RAM
Dedicated VRAM6 GB – 8 GB dedicated VRAM
Supported GPUsNVIDIA RTX 3050/3060/4060 or AMD Radeon 6600/7600
Operating SystemWindows 10 / 11 (64-bit) · macOS (Apple Silicon)

Performance Expectations

Honest speed numbers.

Token Generation Speed 30 – 55 tokens/sec

Continuous output speed during multi-paragraph generation.

Time To First Token < 280 ms

Response latency after session model caching in memory.

Active Memory Footprint ~7.8 GB active VRAM/RAM

Automated residency governor prevents system lockup.

Hugging Face Sideloading & Hardware Limits

Drag and drop any GGUF from Hugging Face (at your own risk).

You are never locked into our factory model choices. Once you plug in your Velora drive, you can download any .gguf model weights from Hugging Face and drop them straight into the /models/ directory on the drive. Velora's runtime will detect and load them automatically.

Step 01 Download GGUF

Download any quantized model weight file from Hugging Face or Ollama.

Step 02 Drop in /models/

Connect your Velora drive and copy the .gguf directly into the models partition.

Step 03 Run Instantly

Launch Velora offline. The model is detected and ready to execute immediately.

Hardware Limit Caution: Dropping model weights that exceed your PC's available RAM or GPU VRAM ceiling (e.g. attempting to run a 32B model on an 8 GB laptop) will cause heavy memory thrashing, reduce generation speeds to sub-1 token/sec, or crash the backend runtime with Out-of-Memory (OOM) errors. Always choose models sized for your hardware tier.

Velora magnetic gift packaging

In The Package

Everything you receive.

  • The 128 GB Velora Metal Drive 70 × 16 mm CNC-milled brushed aluminium, laser-etched VELORA by KMATS, carrying 26.3 GB of calibrated models.
  • Dual Integrated Connectors (USB-A & USB-C) Swivel body fits both older desktop ports and modern USB-C laptops with zero dongles.
  • Matte Black Magnetic Gift Box 90 × 50 × 25 mm presentation case with precision high-density foam insert cut to the drive.
  • Printed Hardware Guide & Quick-Start Card Physical documentation with offline setup walkthrough, hotkeys, and model directory tips.

Technical Matrix & Hardware Compatibility

Choose by your computer's specs.

Velora runs locally on your computer's processor and graphics memory. Compare memory requirements, model parameter ceilings, and continuous inference speeds across all four hardware editions.

Full Hardware & Payload Comparison Matrix Drag / Scroll horizontally to compare all 4 editions →

Hardware Editions

Match edition to your PC's RAM & graphics memory.

Velora Core

₹2,999 Pay ₹1,500 now
Switch to Core →
Current View

Velora Pro

₹3,999 Pay ₹2,000 now
Selected

Velora Prime

₹4,999 Pay ₹2,500 now
Switch to Prime →
256 GB Drive

Velora Ultra

₹12,999 Pay ₹6,500 now
Switch to Ultra →
1. Computer Requirements & Physical Drive
Target ComputerMinimum system RAM needed 8 GB RAM 8 GB Laptops, Ultrabooks & Thin PCs 16 GB RAM 16 GB Modern Laptops & Desktops 32 GB RAM 32+ GB Pro Creator Desktops 64 GB Unified Memory (Apple Silicon) or 64 GB System RAM + 24 GB VRAM 64+ GB / Mac Studio & Workstations
Graphics MemoryDedicated GPU VRAM Integrated or up to 4 GB dedicated Intel Iris Xe 6 GB – 8 GB dedicated VRAM NVIDIA RTX 3050/3060/4060 or AMD Radeon 6600/7600 12 GB – 24 GB dedicated VRAM NVIDIA RTX 3080/3090/4070/4080/4090 or AMD RX 7900 24 GB – 48 GB+ Dedicated VRAM or Unified Memory Pool Apple Silicon Max/Ultra (M2/M3/M4/M5)
Physical HardwareBrushed aluminium USB drive 128 GB Metal Drive 117 GB usable (128 GB dual-plug drive) 128 GB Metal Drive 117 GB usable (128 GB dual-plug drive) 128 GB Metal Drive 117 GB usable (128 GB dual-plug drive) 256 GB Metal Drive 235 GB usable (256 GB custom tier)
2. Pre-Loaded Models & Local Inference Speed
Model PayloadWeight files on the drive 12 GB Models Qwen 3.5 4B + Qwen 2.5 Coder 7B 26.3 GB Models Qwen 3.5 9B + Qwen 2.5 Coder 14B 67.8 GB Models Qwen 3.6 35B MoE + Qwen 3 Coder 30B MoE ~200 GB* Frontier 70B+ parameter suite
Generation SpeedContinuous output speed 18 – 30 tokens/sec Time to first token: < 450 ms 30 – 55 tokens/sec Time to first token: < 280 ms 25 – 45 tokens/sec (on 16GB+ VRAM) Time to first token: < 320 ms 15 – 35 tokens/sec (on 70B+ Frontier) Time to first token: < 550 ms
Active Memory LoadGovernor RAM residency ~4.5 GB active residency Zero swap thrashing or system lockup ~7.8 GB active VRAM/RAM Zero swap thrashing or system lockup ~14.5 GB active VRAM Zero swap thrashing or system lockup ~45 GB – ~95 GB active residency Zero swap thrashing or system lockup
3. Vision, Image Creation & Tool Capabilities
Multimodal VisionInspect images & PDFs Included (Native F16 Projector) Visual OCR & Lightweight CLIP Included (Native F16 Projector) 11B Llama Vision / MiniCPM Included (High Precision) 34B LLaVA-NeXT Deep Inspection Full (72B Multimodal) 72B Qwen2-VL Enterprise Vision
Local Image GenerationGPU text-to-image synthesis Not supported on 8GB base SD1.5 (requires discrete GPU) FLUX.1 Schnell 4-step (1024px) SDXL Turbo (1024x1024 in 4 steps) Advanced (Flux.1 / SDXL Studio) Flux.1 Dev / SDXL Pro Quality Photorealistic (FLUX.1-Dev FP8) Flux.1 Dev FP8 Photoreal Studio
File & Tool AgentsAutonomous local workspace Basic File & Code Automation File organization, code execution & safe folder sandboxing Advanced Tool & Script Execution File organization, code execution & safe folder sandboxing Full Autonomous Agent Workflows File organization, code execution & safe folder sandboxing Autonomous Frontier Tool Use File organization, code execution & safe folder sandboxing
Voice & Audio SuiteDictation and speech synthesis Included (Whisper Base.en) 100% offline Whisper speech recognition + natural neural TTS Included (Whisper Base.en) 100% offline Whisper speech recognition + natural neural TTS Included (Studio Voice) 100% offline Whisper speech recognition + natural neural TTS Studio Quality (Large-v3) 100% offline Whisper speech recognition + natural neural TTS

*Note: Ultra payload is estimated (~200 GB) for the frontier 70B+ model suite; actual allocation may vary upon final calibration before dispatch.

Frequently Asked Questions

Common questions about Velora Pro.

Can I upgrade or customize the AI models on the drive?

Yes. The drive is open and transparent. You can drop any .gguf model weights from Hugging Face directly into the /models/ folder on your Velora drive. Velora's local engine will detect and launch them automatically.

What happens if I format the drive or lose the software?

Every Velora owner receives access to an offline factory restoration package and a 1-year replacement warranty. If you ever wipe the drive or experience a hardware fault, we will restore the factory golden payload for free or replace the drive.

Do I need an internet connection to set up or activate Velora?

No. Velora is 100% offline from the very first second you plug it in. There are no online account logins, no activation servers, no telemetry, and no network requests ever made.

Can I use the extra space on the drive for my own files?

Yes. Velora Pro uses 26.3 GB for the curated model suite, leaving over 91 GB of high-speed exFAT storage completely free for your own offline documents, PDFs, and personal files.

When do pre-orders dispatch?

Pre-orders dispatch by Diwali (8 November 2026) or as soon as 100 drives are reserved, whichever happens first. You pay a 50% deposit now via Razorpay, and the remaining 50% balance is requested only when your unit is packaged for courier dispatch.