Frontier AI infrastructure
NVIDIA B200
Blackwell · 180 GB SXM
Memory
180 GB HBM3e
180 GB HBM3e
Bandwidth
8 TB/s
8 TB/s
FP8 Tensor performance
9 PFLOPS*
9 PFLOPS*
Interconnect
1.8 TB/s NVLink
1.8 TB/s NVLink
Independently verified GPU comparison Updated July 15, 2025
NVIDIA B200 vs RTX A6000
Compare architecture, memory, AI performance, multi-GPU capabilities, professional graphics and current AceCloud availability using official NVIDIA specifications.
Professional graphics and AI
NVIDIA RTX A6000
Ampere · 48 GB PCIe
Memory
48 GB GDDR6 ECC
48 GB GDDR6 ECC
Bandwidth
768 GB/s
768 GB/s
Tensor performance
309.7 TFLOPS*
309.7 TFLOPS*
Maximum power
300W
300W
The honest take: Choose B200 for frontier-model training, high-throughput large-model inference, FP4, MIG and tightly connected multi-GPU workloads. Choose RTX A6000 for professional rendering, virtual workstations, AI development and workloads fitting within 48 GB. B200 is unnecessary when RTX A6000 can meet the memory and performance target.
Quick answer
Which GPU fits your workload?
A workload-first view of where B200 unlocks AI scale and RTX A6000 delivers accessible professional performance.
Foundation-model training
Large-scale pretraining, full fine-tuning and distributed AI
B200 B200 provides fifth-generation Tensor Cores, native FP4, 180 GB HBM3e and high-bandwidth NVLink for demanding multi-GPU training.
AI development and fine-tuning
Model experimentation and training within 48 GB
RTX A6000 RTX A6000 provides 48 GB ECC memory at a transparent monthly price. It remains practical for prototyping, vision models and parameter-efficient fine-tuning.
Large-model inference
70B+ models, long contexts and high request concurrency
B200 Its larger memory and 8 TB/s bandwidth provide substantially more capacity for model weights, KV cache, batching and runtime state.
Professional rendering
Large scenes, VFX, CAD and certified visualization
RTX A6000 RTX A6000 includes RT Cores, professional drivers, ISV certification, display outputs and workstation-focused graphics capabilities.
Shared production AI
Hardware-isolated services and multi-tenant infrastructure
B200 B200 supports up to seven MIG instances. RTX A6000 supports vGPU software but does not provide MIG-based hardware partitioning.
PoC and controlled budget
Testing, development and early-stage deployment
RTX A6000 RTX A6000 is available from ₹51,411 per month. B200 remains waitlist-based and should be reserved for workloads that can use its additional scale.
Side by side
Full technical specifications
Every technical figure below is based on NVIDIA’s official B200 and RTX A6000 specifications.
NVIDIA B200 and NVIDIA RTX A6000 technical specification comparison
| Specification | NVIDIA B200 | NVIDIA RTX A6000 |
|---|---|---|
| Architecture | Blackwell | Ampere |
| Typical deployment | HGX/DGX SXM systems | Professional PCIe workstations and cloud instances |
| GPU memory | 180 GB HBM3e | 48 GB GDDR6 ECC |
| Memory interface | HBM3e subsystem | 384-bit |
| Memory bandwidth | 8 TB/s | 768 GB/s |
| Tensor Cores | Fifth generation | 336 third-generation |
| FP4 support | Yes | No |
| FP8 support | Yes | No |
| FP4 Tensor, sparse | 18 PFLOPS | Not supported |
| FP8 Tensor, sparse | 9 PFLOPS | Not supported |
| Listed Tensor performance | Precision-specific figures | 309.7 TFLOPS with sparsity |
| FP32 performance | 75 TFLOPS | 38.7 TFLOPS |
| FP64/FP64 Tensor | Approximately 37 TFLOPS | Not listed |
| RT Cores | Not listed | 84 second-generation |
| RT Core performance | Not listed | 75.6 TFLOPS |
| Video encoders | Not listed | 1 NVENC |
| Video decoders | Supported | 2 NVDEC |
| AV1 | Encoding not listed | AV1 decoding |
| Display outputs | None listed | 4× DisplayPort 1.4a |
| MIG support | Up to 7 instances | No |
| NVLink | Fifth generation, 1.8 TB/s per GPU | Third generation, 112.5 GB/s bidirectional |
| NVSwitch | Supported | No |
| Maximum connected GPUs | 8 GPUs in HGX/DGX B200 | 2 GPUs through NVLink |
| Combined GPU memory | 1,440 GB in an 8-GPU system | Up to 96 GB for supported two-GPU applications |
| PCIe interface | Platform-dependent SXM system | PCIe Gen4 x16 |
| Thermal design | Integrated HGX/DGX cooling | Active |
| Maximum power | Not listed per GPU on cited system page | 300W |
| Form factor | SXM | Dual-slot, full-height PCIe |
| Professional application certification | Not graphics-focused | Broad ISV certification |
| VR ready | No | Yes |
| vGPU software | Supported through enterprise stack | Supported |
| AceCloud availability | Waitlist access | Currently available |
| Public AceCloud price | Not listed | From ₹51,411/month |
| AceCloud configurations | No public configuration table | 1× and 2× GPUs |
A30 costs approximately 2.6× more per month, but delivers over 9× the theoretical FP16 and INT8 Tensor performance with sparsity. If the workload can use that additional throughput, A30 may provide a lower cost per completed job or inference despite its higher monthly rate.
Straight comparison
How do B200 and RTX A6000 differ in performance?
Raw specifications translated into simple relative performance. Longer bars indicate higher output.
GPU memory
GB RTX A6000
B200
Memory bandwidth
GB/s RTX A6000
B200
FP32 performance
TFLOPS RTX A6000
B200
Disclaimer: These are theoretical peak specifications. Real-world performance depends on model architecture, precision, batch size, framework, optimization, CPU and RAM allocation and storage throughput.
What you pay
NVIDIA B200 vs RTX A6000 pricing and availability
Current entry-level Noida pricing for Linux instances, excluding taxes:
NVIDIA RTX A6000
Current AceCloud Noida Linux pricing:
- 1× RTX A6000
- 16 vCPUs
- 64 GB RAM
- ₹51,411/month
- 1× and 2× GPU configurations available
NVIDIA B200 180 GB
AceCloud currently indicates:
- B200 waitlist access
- No verified INR monthly rate
- No public AceCloud configuration table
A30 costs approximately 2.6× more per month, but delivers over 9× the theoretical FP16 and INT8 Tensor performance with sparsity. If the workload can use that additional throughput, A30 may provide a lower cost per completed job or inference despite its higher monthly rate.
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