Specifications Compared
| Spec | MI250X | RTX-6000-ADA |
|---|---|---|
| TDP | 560W | 300W |
| VRAM | 128 GB | 48 GB |
| Memory Type | HBM2e | GDDR6 |
| Architecture | CDNA 2 | Ada Lovelace |
| Form Factors | OAM | PCIe |
| Interconnect | Infinity Fabric | NVLink |
| FP16 Performance | 383 TFLOPS | 91.1 TFLOPS |
| FP32 Performance | 383 TFLOPS | 91.1 TFLOPS |
| FP64 Performance | 48 TFLOPS | 1.4 TFLOPS |
| Memory Bandwidth | 3,277 GB/s | 960 GB/s |
Performance Analysis
MI250X's 383 TFLOPS FP16 rating delivers over four times the throughput of RTX 6000 Ada's 91.1 TFLOPS: this boosts training speed for neural networks relying on half-precision computations. Matching FP16 and FP32 rates on both GPUs optimize mixed-precision pipelines, yet MI250X's scale handles larger models without precision bottlenecks during forward and backward passes.
Memory defines practical limits: 128 GB HBM2e on MI250X accommodates datasets and activations for batch sizes up to several times larger than 48 GB GDDR6 permits on RTX 6000 Ada. The 3277 GB/s bandwidth minimizes latency in data transfers, enabling sustained performance in bandwidth-intensive inference, whereas 960 GB/s risks bottlenecks with high-resolution inputs.
Form factors and interconnects affect scaling: OAM and Infinity Fabric on MI250X suit multi-GPU clusters for distributed training, contrasting PCIe and NVLink on RTX 6000 Ada for flexible single-node setups. Higher 560W TDP on MI250X requires advanced cooling, unlike the efficient 300W design.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
MI250X
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.28/GPU/hr $5.12/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.44/GPU/hr $5.76/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.52/GPU/hr $6.08/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.60/GPU/hr $6.40/hr total (4×) |
RTX 6000 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 16 vCPU 188GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 10 vCPU 167GB RAM | 🌍global | $0.77/GPU/hr | |||
 Massed Compute | NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 12 vCPU 72GB RAM 350GB Storage | Iowa | $0.79/GPU/hr | Available | ||
Massed Compute | 8×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 104 vCPU 640GB RAM 2800GB Storage | Iowa | $0.79/GPU/hr $6.32/hr total (8×) | Available | ||
Massed Compute | 4×NVIDIA RTX 6000 Ada Generation 48GB VRAM | 48GB | 52 vCPU 288GB RAM 1400GB Storage | Iowa | $0.79/GPU/hr $3.16/hr total (4×) | Available |
When to Choose the MI250X
MI250X stands out for memory-intensive workloads: its 128 GB HBM2e VRAM loads entire large language models for training without model parallelism, unlike 48 GB constraints on RTX 6000 Ada. The 3277 GB/s bandwidth and 383 TFLOPS FP16 sustain high batch sizes in HPC simulations demanding rapid data movement.
Datacenter deployments favor MI250X where peak compute matters: Infinity Fabric enables efficient multi-node scaling across clusters.
When to Choose the RTX 6000 Ada
RTX 6000 Ada fits budget-driven projects: starting at $0.20 per hour with 48 live offers averaging $1.21, it undercuts MI250X's $1.28 entry and $1.46 average across four offers. The 300W TDP reduces electricity costs in edge or small-scale environments.
Workstation tasks benefit from PCIe compatibility: NVLink supports dual-GPU inference without datacenter infrastructure.
Use Cases
MI250X's 128 GB HBM2e VRAM and 383 TFLOPS FP16 support massive parameter counts and large batches infeasible on 48 GB GDDR6.
3277 GB/s bandwidth on MI250X delivers low-latency serving for high-throughput queries, surpassing 960 GB/s on RTX 6000 Ada.
Both GPUs handle fine-tuning with 91.1 to 383 TFLOPS FP16, but RTX 6000 Ada's lower $0.20/hr cost suits smaller datasets while MI250X scales to larger ones.
RTX 6000 Ada's 48 GB GDDR6 and PCIe form factor optimize image generation workflows at $1.21/hr average, avoiding MI250X's 560W power overhead.
MI250X's 383 TFLOPS FP32 and Infinity Fabric excel in parallel simulations, outpacing RTX 6000 Ada's 91.1 TFLOPS for large-scale physics modeling.
Frequently Asked Questions
Which GPU has more VRAM, MI250X or RTX 6000 Ada?▾
MI250X provides 128 GB HBM2e VRAM, more than twice the 48 GB GDDR6 on RTX 6000 Ada. This enables larger models in training without sharding. Bandwidth follows suit at 3277 GB/s versus 960 GB/s.
Is MI250X faster in FP16 performance?▾
MI250X achieves 383 TFLOPS FP16, over four times the RTX 6000 Ada's 91.1 TFLOPS. This accelerates AI workloads like matrix multiplications. FP32 rates match this ratio at 383 TFLOPS versus 91.1 TFLOPS.
What are the power requirements for these GPUs?▾
MI250X draws 560W TDP, demanding robust cooling solutions. RTX 6000 Ada uses 300W TDP for lower energy costs. This impacts cloud instance selection and operational expenses.
How do cloud prices compare for MI250X and RTX 6000 Ada?▾
MI250X starts at $1.28 per hour averaging $1.46 across four offers. RTX 6000 Ada begins at $0.20 per hour averaging $1.21 across 48 offers. Availability favors RTX 6000 Ada significantly.
Can RTX 6000 Ada handle large model training?▾
RTX 6000 Ada's 48 GB VRAM limits batch sizes compared to MI250X's 128 GB. It suits smaller models or inference at 91.1 TFLOPS FP16. For giants, MI250X's capacity prevails.
What interconnects do these GPUs use?▾
MI250X employs Infinity Fabric for datacenter scaling. RTX 6000 Ada uses NVLink for multi-GPU communication. Form factors differ as OAM for MI250X and PCIe for RTX 6000 Ada.
Which is cheaper to rent, the MI250X or the RTX 6000 Ada?▾
Cloud rental prices for both the MI250X and RTX 6000 Ada vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the MI250X have compared to the RTX 6000 Ada?▾
The MI250X has 128 GB of HBM2e memory. The RTX 6000 Ada has 48 GB of GDDR6 memory.
Can I find MI250X and RTX 6000 Ada GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the MI250X and the RTX 6000 Ada?▾
The MI250X uses the CDNA 2 architecture (2021) while the RTX 6000 Ada uses Ada Lovelace (2022). The MI250X delivers 4.2x the FP16 throughput and 3.4x the memory bandwidth of the RTX 6000 Ada.