Run larger LLMs with 141GB HBM3e and scale multi-GPU workloads on demand.
HBM3e VRAM
Lower Cost*
H200 Access
For teams
Share your details and we’ll send access steps on email.
Architecture
GPU Memory
Memory Bandwidth
FP8 Tensor
FP16 Tensor
FP32 Performance
Interconnect
Air-Cooled
Same NVIDIA GPUs, lower spend, India-first regions and 24/7 human support.
|
What Matters
|
Btrack
|
Hyperscalers
|
|---|---|---|
|
GPU Pricing
Cost structure
|
Monthly plans with up to 60% savings. | Higher long-term flat yearly rate. |
|
Billing & Egress
Transparency
|
Simple bill with predictable egress. | Many line items and surprise charges. |
|
Data Location
Regional presence
|
India-first GPU regions, low latency. | Fewer India GPU options, higher latency/cost. |
|
GPU Availability
Access to capacity
|
Capacity planned around AI clusters. | Popular GPUs often quota-limited |
|
Support
Help when you need it
|
24/7 human GPU specialists. | Tiered, ticket-driven support; faster help extra. |
|
Commitment & Flexibility
Scaling options
|
Start with one GPU, scale up. | Best deals need big upfront commits |
|
Open-source & Tools
Ready-to-use models
|
Ready-to-run open-source models, standard stack | More DIY setup around base GPUs. |
|
Migration & Onboarding
Getting started
|
Guided migration and DR planning. | Mostly self-serve or paid consulting. |
Accelerate generative AI with H200’s high-bandwidth memory and rapid throughput.
Serve NLP, vision, embeddings, or multimodal models at scale fast and efficient.
Accelerate complex research workloads with H200’s high-throughput compute performance.
Train complex AI models faster with H200’s high-bandwidth memory and powerful compute.
Maximize GPU utilization by running multiple isolated workloads on a single H200 GPU.
Deploy H200 in cloud racks or enterprise servers for scalable, production-ready AI workloads.
Handle diverse workloads efficiently with H200’s flexible, high-throughput performance.
Run training, inference, analytics, or HPC tasks on the same GPU without sacrificing performance.
Talk to us to find out how we can help you achieve your IT objectives with the utmost security and peace of mind.
We stay ahead of curve, leveraging cutting-edge technologies and strategies to remain competitive. Explore our frequently asked questions below for quick guidance.
NVIDIA H200 is a high-performance GPU built for AI, large language models, generative AI, HPC, and data-intensive workloads. It combines NVIDIA Hopper architecture with 141GB HBM3e memory and high memory bandwidth.
NVIDIA H200 features 141GB HBM3e GPU memory, up to 4.8TB/s memory bandwidth, NVIDIA Hopper architecture, Tensor Cores, and high-speed GPU interconnects for demanding AI and HPC workloads.
H200 offers significantly more GPU memory and higher memory bandwidth than H100, while also providing a major generational improvement over A100 for modern AI, LLM, and HPC workloads.
H200 is designed for LLM training and inference, generative AI, deep learning, scientific computing, high-performance computing, data analytics, and other memory-intensive workloads.
H200 is ideal for AI developers, enterprises, research teams, data scientists, cloud platforms, and organizations running large-scale AI, LLM, generative AI, and HPC workloads.
Yes. Btrack India provides NVIDIA H200 GPU infrastructure for businesses and developers that need high-performance computing without purchasing and maintaining their own GPU hardware.
NVIDIA H200 server pricing depends on GPU configuration, usage duration, compute resources, and deployment requirements. Contact BTrack India for current H200 pricing and availability.
Yes. H200 infrastructure can be used for temporary projects, AI development, model testing, proof-of-concept deployments, and other workloads where purchasing dedicated hardware may not be practical.
