DGX Spark
From RM 15,888
- Best for
- On-prem AI development, prototyping, and evaluation
- Form factor
- Compact desktop
- GPU memory pool
- 128 GB unified (CPU + GPU coherent)
- Configurable?
- No, NVIDIA OEM SKU
- Status
- Available
Compare
Decision matrices across the lineup.
Three named decision guides, plus per-family compare tables. Pick the right system class, GPU generation, and refresh window without bouncing between data sheets.
Decision guides
Pick a question, get a structured answer.
Workstation vs Server vs Rack-Scale
Pick the right class before drilling into specs. Sized by users, model class, deployment shape, and budget.
Open guide
H200 vs B200 vs B300
The three NVIDIA GPUs you'll be quoted in 2026. HBM, FP4, NVLink generation, and which EMARQUE systems carry each.
Open guide
Generations: Hopper → Rubin
Hopper, Blackwell, Blackwell Ultra, Rubin: what's shipping, what's next, and how to plan a multi-year refresh.
Open guide
Personal AI & Small Scale
2 systems in this class, side-by-side.
Desk-side and small-scale systems for developers, individual researchers, and small teams.
AI Work 100
From RM 12,000
- Best for
- Individual developers and researchers running 7B–70B class models locally
- Form factor
- Tower workstation, standard 240 V wall outlet
- GPU memory pool
- Up to 192 GB DDR5-6400 (4 DIMM)
- Configurable?
- Yes, EMARQUE-built to order
- Status
- Available
AI Workstation
One system in this class.
Pedestal multi-GPU workstations for individual to departmental AI, assembled and supported locally by EMARQUE.
DGX Station
On request
- Best for
- Training and fine-tuning models up to 1 trillion parameters locally
- Form factor
- N/A
- GPU memory pool
- 748 GB coherent (252 GB HBM3e + 496 GB LPDDR5X)
- Configurable?
- No, NVIDIA OEM SKU
- Status
- N/A
AI Server
5 systems in this class, side-by-side.
Single-node rackmount AI servers: EMARQUE AI Server (RTX PRO 6000 SE) and NVIDIA DGX B200 / B300 with HGX OEM alternatives.
PRO 500
From RM 35,000
- Best for
- Departmental private RAG with 25-100 concurrent users
- Form factor
- SilverStone RM52 5U rackmount, 19-inch standard rack
- GPU memory pool
- 256 GB DDR5-6400 ECC RDIMM (expandable, 8-channel)
- Configurable?
- Yes, EMARQUE-built to order
- Status
- Available
AI Server
On request
- Best for
- Departmental private RAG / chat: 100–500 concurrent users on 70B-class models
- Form factor
- In Win IW-RG658-PRO 6.5U rackmount (4.5U GPU + 2U system), 19" rails
- GPU memory pool
- Up to 8 TB ECC DDR5 (32 DIMMs, up to 4800 MHz)
- Configurable?
- Yes, EMARQUE-built to order
- Status
- N/A
AI PRO 700
On request
- Best for
- Departmental private RAG / chat: 70–350 concurrent users on 70B-class models
- Form factor
- In Win IW-RG650A 6.5U rackmount (4.5U GPU + 2U system), 19" rails
- GPU memory pool
- ECC DDR5, scoped to workload
- Configurable?
- Yes, EMARQUE-built to order
- Status
- N/A
DGX B200
Contact for pricing
- Best for
- Generative AI training and inference
- Form factor
- 10U rackmount
- GPU memory pool
- 1.4 TB HBM3e (180 GB × 8)
- Configurable?
- No, NVIDIA OEM SKU
- Status
- Available
DGX B300
Contact for pricing
- Best for
- AI reasoning model training and inference
- Form factor
- 10U rackmount, air-cooled
- GPU memory pool
- Up to 2.3 TB HBM3e per node (288 GB × 8)
- Configurable?
- No, NVIDIA OEM SKU
- Status
- Available
AI Factory
2 systems in this class, side-by-side.
Rack-scale NVLink-Switch fabrics for foundation-model training and sovereign compute: GB300 NVL72, DGX GB300, and the Vera Rubin generation.
GB300 NVL72
Contact for pricing
- Best for
- Trillion-parameter foundation model training
- Form factor
- Single rack, building block for DGX SuperPOD
- GPU memory pool
- Up to ~21 TB HBM3e per rack (288 GB × 72)
- Configurable?
- No, NVIDIA OEM SKU
- Status
- Available
Vera Rubin NVL72
On request
- Best for
- Next-generation NVIDIA rack-scale AI Factory deployments
- Form factor
- N/A
- GPU memory pool
- N/A
- Configurable?
- No, NVIDIA OEM SKU
- Status
- N/A
02Talk to EMARQUE
Tell us about your workload.
Model size, concurrency, latency budget, deployment site. EMARQUE returns a quote in MYR within one Malaysian business day, sized to the workload, not the salesperson’s quota.
- 01
Key Account Manager
+6012 627 2280 - 02
Request for Quotation
business@emarque.co