NVIDIA B300 GPU TEE
B300 for confidential AI.
Blackwell Ultra capacity for frontier inference and enterprise GPU clusters that need proof.
B300 TEE capacity with 288GB HBM3e memory, Blackwell Ultra performance, protected GPU memory, and attestable execution.
Capacity cell
Quote now
hardware proof rail
B300 moves through the same verifiable GPU proof path.
GPU TEE
B300
GPU TEE
288GB HBM3e
GPU TEE
TEE proof
Memory
288GB HBM3e
Bandwidth
8 TB/s
Region
US-East / US-West
Scale
1-8 GPUs
B300 buyer details
More than a GPU quote.
GPU sellers usually stop at price and availability. This page makes the extra TEE requirements visible: runtime boundary, confidential GPU mode, attestation, and operations.
Best fit
B300 workload shape
Access
Quoted availability
Commitment
Reserved B300 slots
Enterprise
Dedicated Blackwell Ultra clusters
TEE readiness checklist
01
Capacity
GPU memory, bandwidth, region, and scale are visible before the sales call.
02
Cloud path
Run through confidential VMs, bare metal paths, or enterprise deployments.
03
TEE readiness
Intel TDX, NVIDIA confidential computing, drivers, BIOS, and verifier readiness are handled by Phala.
04
Buying motion
Start with a 24-hour trial, reserve a slot, or quote a dedicated cluster.
B300 technical profile
Use B300 when the cluster is the product.
B300 is for frontier inference, Blackwell Ultra evaluation, and enterprise clusters where protected GPU memory, model throughput, and a clean evidence path matter as much as raw capacity.
Memory
288GB HBM3e for frontier inference, larger batches, and high-memory model serving.
Bandwidth
8TB/s memory bandwidth for Blackwell Ultra inference and training pipelines.
Scale
Quoted 1-8 GPU slots and dedicated cluster paths for production infrastructure.
TEE layer
Bring Blackwell Ultra capacity into a confidential VM path with runtime proof and operator controls.
Performance metrics for private AI GPU planning
relative index
1.9x
3.2x
LLM inference
model + KV cache
141GB
288GB
GPU memory
feed batches
4.8TB/s
8TB/s
Memory bandwidth
NVIDIA H200
141GB HBM3e
NVIDIA B300
288GB HBM3e
Performance comparison
NVIDIA B300 vs NVIDIA H200
H200 is the high-memory Hopper path. B300 adds Blackwell Ultra capacity for larger batches, frontier inference, and enterprise clusters.
Use this comparison when memory, bandwidth, and cluster planning matter as much as the hourly GPU quote.
B300 buying paths
Pick the buying path for the job.
Trial a single machine, quote a reserved slot, or move into a dedicated cluster when the workload becomes production infrastructure.
01 / On-demand
B300 for 24 hours.
Short test windows for builders validating private inference, model serving, or proof generation.
02 / Slot
Reserve capacity before the next run.
Predictable GPU access for sustained training, fine-tuning, and benchmark windows.
03 / Enterprise
Dedicated clusters with TEE operations.
Custom H100, H200, or B300 deals with TEE-aware infrastructure support and deployment planning.
Proof path
B300 is useful because it is verifiable.
The GPU is not sold as raw hardware. B300 is delivered through a confidential VM path with GPU confidential computing and dual attestation built in.
01
CVM runtime
Docker workloads run inside an Intel TDX confidential VM with GPU passthrough. The runtime is sealed against the operator and measured by firmware before the workload starts.
02
GPU CC mode
NVIDIA Confidential Computing seals model weights, activations, and KV cache inside protected GPU memory. The GPU enforces compute isolation alongside the CPU TEE.
03
Dual attestation
Intel TDX and NVIDIA each emit a signed quote. Phala collects both and exposes them through one verifier so the CVM and the GPU prove themselves together.
Other confidential GPUs
Compare the next capacity path.
Use the same marketplace model across H100, H200, and B300: capacity, price, region, and proof state stay visible.
