Best Professional Rendering Workstation Under ₹300K
Overview
A professional rendering workstation under ₹300,000 must balance raw multi-core CPU horsepower, GPU-accelerated render performance, fast memory and storage, and reliable power delivery. This guide focuses on current Intel CPUs and NVIDIA GPUs well-suited for Blender, V-Ray, Octane, and AI-assisted workflows. Each part is chosen for stability, performance, and upgradeability, with full pricing summarized in the final table.
Component Guide & Selection Rationale
Processor: Intel Core i9-14900K
Featuring 24 cores (8 performance + 16 efficiency) and 32 threads, the i9-14900K excels in multi-threaded rendering and viewport responsiveness. Its high single-core boost ensures smooth interactivity in complex scenes, while overclocking headroom supports peak workloads.
Graphics Card: NVIDIA GeForce RTX 4080 16GB
With 9,728 CUDA cores, ample 16 GB GDDR6X memory, and dedicated RT and Tensor cores, the RTX 4080 accelerates GPU-based render engines and AI denoising. It delivers fast viewport performance in real-time preview modes and smooth GPU-compute in rendering applications.
Motherboard
Form Factor: ATX Chipset: Intel Z790 A Z790 board (e.g., ASUS ProArt Z790-P) provides robust VRMs for stable overclocking, four DIMM slots for up to 128 GB DDR5, multiple PCIe 5.0 M.2 slots for high-speed storage, and professional-grade networking and USB-C connectivity.
Memory
Form Factor: 288-pin DIMM (DDR5) Type: DDR5 Speed: 6000 MHz Modules: 4×16 GB (64 GB total) High-capacity, high-speed DDR5 ensures rapid scene data handling and smooth playback. Four modules enable quad-channel bandwidth for memory-intensive tasks like large texture and simulation datasets.
Storage
Primary: 2 TB NVMe SSD Form Factor: M.2-2280 Interface: PCIe Gen4 x4 Secondary: 4 TB SATA SSD The primary NVMe SSD offers blistering OS and application responsiveness, while a large secondary SATA SSD provides cost-effective bulk storage for project assets and archives.
CPU Cooling
A 360 mm all-in-one liquid cooler maintains low CPU temperatures under sustained render loads. Its large radiator and efficient pump ensure silent operation and thermal headroom for extended overclocking.
Case
A full-tower chassis with modular drive bays, extensive radiator support, and noise-dampening panels ensures optimal airflow, component compatibility, and quiet operation in professional environments.
Power Supply
Wattage: 1000 W Certification: 80+ Gold A high-quality 1000 W Bronze PSU provides stable, efficient power for CPU and GPU under full load, plus headroom for future GPU upgrades or multi-GPU configurations.
Alternative Full Builds (₹300K–₹320K Total)
Fixed “Other Parts” (Motherboard, Memory, Storage, Cooler, Case, PSU): ₹160,000 Remaining budget for CPU + GPU: ₹140,000–₹160,000
Option | CPU | GPU | Total Build Cost (₹) |
---|---|---|---|
Primary Build | Intel Core i9-14900K | NVIDIA RTX 4080 16GB | 299,800 |
Alternative 1 | Intel Core i9-14900K | NVIDIA RTX 4070 Ti 12GB | 285,600 |
Alternative 2 | Intel Core i7-14700K | NVIDIA RTX 4080 16GB | 292,500 |
Alternative 3 | Intel Core i9-14900K | AMD Radeon Pro W7800 16GB | 305,200 |
Future Upgrade Possibilities
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Expand to 128 GB or 256 GB DDR5 for massive simulation datasets.
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Add a second NVMe SSD for dedicated cache or scratch disk.
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Upgrade to dual GPUs (RTX 4080 or beyond) for GPU-Render scalability.
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Transition to Intel Core X-series or future 16th-gen CPUs as they release.
Power Consumption Breakdown






