The Novatech Apex Ryzen is built for professionals and enthusiasts who demand uncompromising performance across every workflow — from machine learning and data science to 3D rendering, simulation, video editing, and high-end gaming.
At the heart of the Apex is the AMD Ryzen 9 9950X3D, delivering exceptional multithreaded performance and responsiveness for compute-heavy workloads. Combined with the NVIDIA RTX 5080 (16GB VRAM), you get professional-grade acceleration for AI, 3D rendering, and gaming at 4K.
Housed in the SilverStone SETA H2 full-tower chassis, the Apex combines premium design with expandability. Advanced 360mm liquid cooling and an 850W 80+ Gold PSU ensure quiet, stable performance — even under heavy workloads or extended gaming sessions.
Every Novatech workstation is:
The Novatech Apex WS5080X is more than just a PC — it’s a powerhouse designed to accelerate your workflow, fuel your creativity, and deliver elite gaming performance in one system.
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Enterprise-aligned estimates for model fit, inference throughput, diffusion performance, and cloud ROI framing.
Capability
| Model / Class | Quantization | Inference | Fine-tuning |
|---|---|---|---|
| Llama 3 70B | FP16 / 4-bit | ✅ | ✅ |
| Mixtral 8x22B | FP16 / 4-bit | ✅ | ✅ |
| 13B–34B class | FP16 | 🚀 | ✅ |
| 405B (sharded) | 4-bit | ✅ | ⚠️ |
Legend
Actual capability varies by framework, context length, batch size, and optimization stack.
Throughput
| Model | Precision | Estimated tok/sec |
|---|---|---|
| 7B | FP16 | 600–900 tok/sec |
| 13B | FP16 | 350–600 tok/sec |
| 34B | FP16 | 180–300 tok/sec |
| 70B | FP16 | 120–200 tok/sec |
| 70B | 4-bit | 220–350 tok/sec |
Estimates assume an optimized inference stack (e.g., vLLM / TensorRT-LLM). Batch inference can materially increase throughput.
Generative
| Workflow / Model | Estimated performance |
|---|---|
| Stable Diffusion XL | ~1–2 sec/image (optimized) |
| SD Turbo | Sub-second generations (pipeline dependent) |
| Video diffusion (optimized) | Near real-time depending on resolution |
Render time depends on resolution, steps, scheduler, and pipeline optimizations.
ROI
| Scenario | Estimate |
|---|---|
| H100-class cloud instance | $90–$110/hr (varies by region/commit) |
| 8 hrs/day utilization | ~$20k–$26k/month |
| Directional break-even | Often ~4–6 months (utilization dependent) |
Cloud rates vary by region, commitment, and availability. Use as directional procurement framing.
Deploy an on-prem AI workstation designed for LLM training hardware, inference, and secure internal workflows—without giving up performance or control.
Directional, production-aligned expectations for 3D rendering, simulation, and professional video workflows. Customize the tables per product configuration.
Works great with
3D Rendering
| Software | Workload | Expected performance class |
|---|---|---|
| Blender (Cycles) | GPU path tracing / final-frame rendering | ✅ Designed to handle complex scenes; performance varies by scene fit and settings |
| Cinema 4D + Redshift | GPU rendering + lookdev | ✅ Strong RTX throughput; scaling and results depend on scene/renderer |
| OctaneRender | Photoreal path tracing | ✅ Built for heavy RTX workloads; multi-GPU behavior depends on your scenes |
| Unreal Engine 5 | Nanite + Lumen viewport | ✅ Designed for large projects; GPU + RAM help complex assets and editor responsiveness |
Use these as directional expectations. Actual performance varies by renderer settings, scene fit in VRAM, and effects complexity.
Legend
Video Production
| Software | Workflow | Typical workflows supported |
|---|---|---|
| DaVinci Resolve | 4K–8K editing + grading (GPU accelerated) | ✅ Built for GPU-accelerated editing and effects; codec/effects dependent |
| Adobe Premiere Pro | Multi-stream 4K editing + GPU effects | ✅ Excellent workflow support; depends on codecs and effects stack |
| After Effects | Large comps + RAM-heavy projects | ✅ Designed to handle large comps with heavy caching (project dependent) |
Results depend on codec, effects stack, GPU acceleration settings, and storage throughput.
Large Project Handling
| Resource | Benefit |
|---|---|
| 192GB RAM | Massive scenes, large After Effects comps |
| Up to 10TB NVMe storage | Fast project and asset loading |
| RTX 5090 / RTX Pro 6000 VRAM | Large textures, heavy scenes |
| Ryzen 9950X3D | High viewport and CPU simulation performance |
Designed to handle large textures, heavy scenes, and RAM-intensive comps—especially when projects stay on fast NVMe storage.
Render Speed Comparison
| System | Relative render speed |
|---|---|
| Typical RTX 5080 workstation | 1× |
| Single RTX 5090 or RTX Pro 6000 workstation | ~1.2–1.4× |
| Dual high-end GPU workstation (same class) | ~2.0–2.6× |
Directional comparison for GPU-rendered workloads. Actual results vary by renderer support, scene fit, and multi-GPU scaling behavior.
Note: All guidance is directional. Actual results vary by scene complexity, codecs, effects, renderer settings, and software versions.
Is it powerful enough for machine learning?
Can it handle big datasets and multitasking?
Is it reliable for long workloads and 24/7 operation?
Will it stay relevant as technology advances?
Is this workstation only for AI?
Cut model training times and speed up simulations with the AMD Ryzen 9 9950X3D and NVIDIA RTX PRO 6000 with 96GB VRAM.
Run AI, HPC, data analytics, 3D rendering, and engineering simulations without bottlenecks — keeping teams productive and projects on schedule.
With 512GB DDR5 ECC memory, 10TB of Gen 5 NVMe storage, and a future-ready WRX90E platform, your workstation grows with your company’s needs.
