Dell 490-BJMS NVIDIA RTX 6000 ADA Generation 48 GB GDDR6 Full Height PCIE 4.0X16 4 DP

Dell 490-BJMS NVIDIA RTX 6000 Ada Generation 48GB Professional GPU

Overview

The Dell 490-BJMS is a full-height, full-length professional graphics card built around NVIDIA's RTX 6000 Ada Generation GPU — the workstation-class card specified when 48 GB of GDDR6 frame buffer and 18,176 CUDA cores need to live inside a standard PCIe slot. If your workflow runs out of VRAM before it runs out of compute, the 490-BJMS is the card to evaluate first. It ships in a two-slot FH/FL form factor and connects via PCIe 4.0 x16, so it drops into any current-generation workstation or server chassis without an adapter bracket. For AI inference, GPU-accelerated video analytics, 3D rendering, or multi-display command environments, this card delivers professional-grade throughput in a single slot pair.

For teams deploying Dell workstation solutions or evaluating professional GPU cards for edge AI or visualization workloads, the 490-BJMS represents the top of the Ada Generation line in terms of memory capacity.

Key Features

• 48 GB GDDR6 Frame Buffer: The single biggest differentiator for this card. Large language model inference, multi-stream AI video analytics, and photogrammetry pipelines routinely exceed 24 GB — this card handles workloads that would require two lower-memory GPUs to run in parallel. Fewer cards, less complexity, less PCIe slot consumption per system.
• 18,176 CUDA Cores (RTX 6000 Ada): NVIDIA's Ada Lovelace architecture brings substantial per-core efficiency improvements over the previous Ampere generation. For AI inference and parallel compute tasks, more CUDA cores translate directly into higher throughput per watt — relevant when you're running this card in a rackmounted workstation under continuous load.
• 384-Bit Memory Bus at 960 Gbit/s: The wide memory bus ensures the CPU and GPU are not waiting on each other during high-resolution texture streaming or large-batch AI inference. At 960 Gbit/s aggregate bandwidth, even large 48 GB datasets cycle through the frame buffer without creating a bandwidth bottleneck — critical for deep learning training runs and real-time rendering workloads.
• PCIe 4.0 x16 Interface: The PCIe 4.0 interface doubles the host-to-GPU bandwidth versus PCIe 3.0 — meaningful when you're streaming large datasets from NVMe storage directly into GPU memory. This card is backward-compatible with PCIe 3.0 slots, though at reduced bandwidth.
• Four DisplayPort 1.4 Outputs: Four independent DP 1.4 outputs support up to four simultaneous high-resolution displays — useful in security operations centers, trading desks, or visualization suites where operators need multiple monitors driven from a single card. DP 1.4 handles 8K @ 60 Hz or 4K @ 120 Hz per port.
• Active Cooling, Single Fan: The active single-fan cooler is designed for the sustained thermal loads of professional workstation environments. Unlike blower-style coolers, the open-air design dissipates heat more efficiently in well-ventilated chassis — confirm your workstation airflow before deploying in dense rack configurations where hot air recirculation is a concern.
• Full-Height/Full-Length, Two-Slot Form Factor: At 10.50 × 4.40 × 2.00 in and 2.60 lb, this card occupies two PCIe slots in a standard FH/FL bay. Verify physical clearance in your target chassis before ordering — particularly in 4U or shorter rackmount workstations where GPU length can conflict with drive backplanes.
• VR Ready: Certified for virtual reality workloads, meaning the card meets the sustained frame-rate and latency requirements of professional VR visualization software. Relevant for architectural visualization, simulation, and training applications.
• Ethernet Interface Support: In addition to PCIe, the 490-BJMS lists Ethernet in its interface specification — supporting network-connected workflows and GPU-direct RDMA configurations in environments that require direct memory access between networked storage and GPU memory.

Integration and Compatibility

The 490-BJMS connects via PCIe 4.0 x16 and is compatible with any workstation or server platform supporting full-height, full-length dual-slot GPU cards. Its 48 GB GDDR6 frame buffer makes it particularly well-suited for AI compute and inference platforms running large model weights, as well as GPU-accelerated video analytics servers processing multiple simultaneous high-resolution streams. The four DP 1.4 outputs integrate directly with multi-monitor display walls without a hub or splitter. For organizations running NVIDIA CUDA-based software stacks — whether for simulation, rendering, or machine learning — this card maintains full software compatibility with the Ada Lovelace driver ecosystem. Confirm power delivery requirements with your chassis vendor; FH/FL professional cards at this tier typically require supplemental PCIe power connectors beyond what the slot itself provides, though wattage specifics should be verified against NVIDIA's published RTX 6000 Ada power requirements.

Frequently Asked Questions

Q: What is the memory capacity of the Dell 490-BJMS, and why does it matter for AI workloads?

A: The 490-BJMS carries 48 GB of GDDR6 across a 384-bit bus, delivering 960 Gbit/s of memory bandwidth. For AI inference and training, large model weights and batch datasets must reside in GPU VRAM — 48 GB is the current ceiling for single-card configurations in this form factor, eliminating the need for multi-GPU setups in most professional inference deployments.

Q: Is the 490-BJMS compatible with PCIe 3.0 systems?

A: Yes. PCIe 4.0 is backward-compatible with PCIe 3.0 slots. The card will operate in a PCIe 3.0 x16 slot at reduced host-to-GPU bandwidth. For most rendering and display workloads this is acceptable; for high-throughput GPU-direct storage or heavy data-streaming workloads, the bandwidth reduction may be a factor.

Q: How many monitors can the 490-BJMS drive simultaneously?

A: Four — one per DisplayPort 1.4 output. Each port supports up to 8K @ 60 Hz or 4K @ 120 Hz, making this card appropriate for multi-monitor command centers, visualization suites, or security operations desks requiring four independent high-resolution displays from a single card.

Q: What form factor does the 490-BJMS require?

A: The card is Full-Height/Full-Length (FH/FL) and occupies two PCIe expansion slots. Physical dimensions are 10.50 in (L) × 4.40 in (H) × 2.00 in (W). Verify chassis GPU length clearance before ordering — particularly in rackmount workstations where drive cage placement can limit GPU length.

Q: Does the 490-BJMS support CUDA?

A: Yes. The RTX 6000 Ada Generation GPU includes 18,176 CUDA cores built on NVIDIA's Ada Lovelace architecture, providing full CUDA support for parallel compute, AI/ML frameworks (TensorFlow, PyTorch), and NVIDIA professional application stacks.

Q: What is the weight of the 490-BJMS?

A: The card weighs 2.60 lb. In chassis with multiple GPUs or heavy add-in cards, consider using a GPU support bracket to prevent PCIe slot stress over time.

Eden Phillips

When a client asks me about the Dell 490-BJMS, the first number I point to is 960 Gbit/s — that is the aggregate memory bandwidth across the 384-bit GDDR6 bus, and it is what separates this card from mid-tier professional GPUs when you start pushing large batches through an inference pipeline or streaming multi-camera AI analytics feeds simultaneously. The 48 GB frame buffer means you are not memory-swapping during inference on large vision transformer models, which kills latency in real-time applications.

Technical Highlights:

• 48 GB GDDR6 / 384-Bit Bus: At 960 Gbit/s bandwidth, this card handles large-model inference without host memory fallback — the difference between real-time throughput and a GPU that becomes the bottleneck in your analytics pipeline.
• 18,176 CUDA Cores (Ada Lovelace): The Ada architecture delivers meaningful per-core efficiency gains over prior generations; for continuous-load inference servers, that translates to more inferences per watt and lower thermal output per unit of work.
• Four DP 1.4 Outputs: Four independent 8K-capable outputs from a single two-slot card — if you are building a physical SOC display wall or visualization node, this eliminates the need for a secondary display card consuming another PCIe slot.

Deployment Considerations:

• The FH/FL form factor at 10.50 in length means you must confirm GPU clearance in your target chassis before ordering — some 4U rackmount workstations have drive cage interference past 10 in. Measure before committing.
• The single open-air fan design is efficient in well-ventilated tower or pedestal workstations, but in dense rack configurations where intake air is pre-warmed, monitor GPU thermals under sustained load — blower-style cooling handles hot-aisle/cold-aisle setups better.

The 490-BJMS is the right specification for an AI video analytics server or GPU-accelerated rendering node where 48 GB of single-card VRAM eliminates the complexity of multi-GPU NVLink configurations — specifically in physical security operations centers deploying deep-learning-based scene analytics across 20+ simultaneous camera feeds.